636 Product Manager Jobs in India

About the Opportunity

We are looking for a Product Growth Manager to drive product integrations, partner collaborations and product adoption across a growing technology platform.

The role involves working at the intersection of product management, technology and business partnerships. You will be responsible for identifying integration opportunities, translating business requirements into product specifications, coordinating with engineering teams and ensuring successful implementation of integration solutions.

You will work closely with internal stakeholders and external partners to drive seamless integrations across multiple business systems.

Key Responsibilities

Product Strategy & Integrations

• Develop a holistic integration strategy, focusing on seamless integrations with marketplace, ERP, POS and WMS systems.
• Identify key API requirements and facilitate smooth data flow between interconnected systems.
• Define product requirements and prioritise features based on market demand and partner feedback.
• Drive change management initiatives to ensure successful adoption of new integrations.

Product Execution & Delivery

• Work closely with engineering and design teams to translate business requirements into technical specifications.
• Ensure timely delivery of product enhancements and changes, adhering to defined scope and quality standards.
• Collaborate with cross-functional teams to align integration goals, priorities and execution timelines.
• Demonstrate strong problem-solving skills and attention to detail while managing complex integration projects.

Partner & Stakeholder Management

• Collaborate with integration partners to understand their business requirements and manage integration timelines.
• Build and maintain strong relationships with integration partners.
• Act as the primary point of contact for partner inquiries and feedback, representing partner requirements internally.
• Continuously evaluate and optimise partner performance to drive mutual success.
• Communicate product updates and roadmap changes to internal stakeholders and external partners.
• Provide regular progress updates, highlighting achievements, challenges and potential risks.

What We Are Looking For

• Strong understanding of product management and product execution.
• Familiarity with APIs, third-party integrations and system-to-system data flows.
• Ability to work with technical teams and translate business requirements into product specifications.
• Experience collaborating with external partners and managing integration projects.
• Strong stakeholder management, communication and problem-solving skills.
• An entrepreneurial mindset with the ability to take ownership and adapt to evolving business requirements.
• A customer-centric approach to product development and execution.

Work Environment

• Five-day working week.
• Work-from-office environment.
• Opportunity to work on complex product integration challenges and collaborate with cross-functional teams.

Salesforge builds cold email infrastructure that gives senders the domains, mailboxes, dedicated IPs and warmup they need to land in the inbox. We're hiring a Product Manager to own the roadmap for our cold email products.

What you'll do

• Own the roadmap for our cold email products, from discovery to launch
• Talk to customers, support and sales regularly to understand sending pain points and turn them into clear priorities
• Write specs and user stories with clear acceptance criteria, and work daily with backend, frontend, QA and design to ship them
• Run planning and track delivery in Jira, keeping scope, deadlines and trade-offs visible
• Translate deliverability problems (inbox placement, reputation, DNS and authentication setup, warmup) into product improvements
• Define success metrics for each product and follow them after launch
• Keep an eye on the cold email market and competitors, and bring that into product decisions

What we're looking for

• 3+ years as a Product Manager in a SaaS company
• Hands-on experience with cold email and deliverability: SPF, DKIM, DMARC, domain and mailbox setup, warmup, sender reputation (must have)
• Technical enough to work closely with infrastructure engineers and challenge solutions
• Strong written communication: clear specs, crisp updates, no fluff
• Comfortable with Agile delivery and Jira
• Data-driven: you use usage data and customer feedback to make decisions

Nice to have

• Experience at a cold email, sales engagement or email infrastructure company
• Background running outbound campaigns yourself
• Familiarity with Google Workspace / Microsoft 365 mailbox administration

Why join

• Fully remote, with at least 4 hours overlap with GMT+3
• Own a product line that's core to the business
• Small, fast team working directly with the CTO

Founder’s Office Intern — Product & AI

We’re looking for a sharp, detail-oriented student who enjoys building things, takes ownership, and is eager to learn how AI can improve the way we work. You’ll work closely with the founder and engineers to research, automate, test, and ship product improvements.

What you’ll do

• Automate product workflows: Identify repetitive tasks and build practical automations using AI tools and agents.
• Help shape the roadmap: Review upcoming features, research the market and competitors, and recommend what we should build next.
• Track feature delivery: Keep a clear view of features across planning, development, testing, and production. Monitor deployments and flag blockers.
• Check product quality: Test features and user journeys, spot bugs and unexpected behaviour, and work with engineers to get issues resolved.
• Follow through: Document issues clearly, track fixes, and verify that the product works as expected after deployment.

Who we’re looking for

• A professional with strong attention to detail, curiosity, and the motivation to learn AI by doing.
• Some hands-on experience building basic AI automations and using AI agents—for coursework, a personal project, or an internship.
• Someone who can break down problems, communicate clearly, and follow a task through to completion.
• Evidence of commitment and achievement in at least one area. This could be coding, sports, college leadership, competitions, or another pursuit where you’ve put in sustained effort and stood out.

Job Summary

We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps Engineering
• Production Support
• Linux Administration
• Cloud Infrastructure (AWS / Azure / GCP)
• Kubernetes and Docker
• CI/CD pipelines
• Monitoring and Observability
• Scripting using Python / Shell
• Incident Management and Root Cause Analysis

Key Responsibilities

• Monitor and maintain the availability, reliability, and performance of applications and infrastructure.
• Handle production incidents, troubleshoot issues, and perform root cause analysis.
• Manage and automate infrastructure deployment and operational tasks.
• Work with CI/CD pipelines and container orchestration platforms.
• Implement monitoring, alerting, and observability solutions.
• Collaborate with development and operations teams to improve system reliability.
• Support cloud infrastructure, Linux environments, and production deployments.
• Identify recurring issues and implement preventive measures to reduce downtime.

Role Overview

We are looking for a driven and analytical Product Manager to own end-to-end product initiatives across our fintech ecosystem. You will work closely with Engineering, Growth, Risk, and Operations teams to build scalable, customer-centric solutions that drive measurable business impact.

Key Responsibilities

• Own the product lifecycle from problem discovery → PRD → launch → iteration
• Write clear and structured PRDs, user stories, and acceptance criteria
• Collaborate cross-functionally with Engineering, Design, Growth, Risk, and Business teams
• Define product roadmaps and prioritize based on impact and feasibility
• Analyze product performance, funnels, and user behavior using data
• Drive experimentation, A/B testing, and continuous optimization
• Translate business goals into scalable product solutions

Required Skills & Qualifications

• 3–7 years of Product Management experience (preferably in fintech/startup environments)
• Strong analytical skills with hands-on experience in SQL and Excel/Google Sheets
• Experience working in Agile environments with engineering teams
• Ability to think structurally and solve complex product problems
• Strong stakeholder management and communication skills
• Working understanding of APIs, integrations, and system workflows
• Comfort using AI tools to enhance productivity, documentation, research, and product discovery
• Basic understanding of prompt structuring to improve research, analysis, and workflow efficiency

Technical Product Manager – BFSI & AI

Location: New Delhi, India (On-site)

Employment Type: Full-time

Experience: 4–8 years

Industry: BFSI / FinTech / Enterprise AI / B2B SaaS

About QubeLabs

QubeLabs is building the next generation of Enterprise AI Systems that transform workforce operations and intelligence for the financial services industry.

Our platform combines Conversational AI, Agentic AI, workflow automation, proprietary language models and enterprise intelligence to improve enterprise efficiency, productivity and customer experience.

Our flagship product, QubeLabs Workmate, is purpose-built for banks, NBFCs, MFIs, wealth management firms, insurance companies and fintechs across India and Europe.

Role Overview

We are looking for a Technical Product Manager – BFSI & AI to translate complex financial-services workflows and customer problems into clear product requirements and scalable technology capabilities.

You will work closely with the founders, Head of AI, engineering and business teams to drive the complete product lifecycle—from customer discovery and requirements definition to development, testing, deployment and continuous improvement.

This is a high-ownership role for someone who combines an understanding of BFSI business processes with strong product thinking and the ability to collaborate effectively with technical teams.

Key Responsibilities

1. Product Management & Requirements

Define product requirements, roadmaps and feature priorities for QubeLabs Workmate.

Translate customer needs and business problems into PRDs, functional specifications, user stories and acceptance criteria.

Design user journeys, process flows, business rules and expected product behaviour, including edge cases and exceptions.

Prioritize features based on customer value, business impact, technical feasibility and strategic objectives.

Drive features from concept through development, testing, release and post-launch improvement.

2. BFSI Workflows & Customer Discovery

Develop a deep understanding of workflows across banking, wealth management, stock broking, insurance, NBFCs and financial advisory.

Engage with relationship managers, wealth advisors, operations teams, contact centres and business leaders to identify pain points and automation opportunities.

Translate financial-services processes into scalable product capabilities.

Support customer discovery, product demonstrations, pilots, POCs and validation of new features.

Incorporate customer feedback and market insights into product priorities and the roadmap.

3. AI Product Development

Understand the practical capabilities and limitations of Generative AI, LLMs, AI Agents, RAG, Voice AI and workflow automation.

Define requirements for AI assistants, intelligent agents and AI-powered business workflows.

Work with the Head of AI to translate model capabilities, technical dependencies and constraints into product specifications.

Define expected AI behaviour, business rules, exception handling and measurable business outcomes.

Identify where AI is appropriate versus deterministic workflows and conventional business logic.

Understand the capabilities of QubeLabs' proprietary Vectro Series language models and their application to BFSI use cases.

4. Product & Engineering Collaboration

Work with AI and engineering teams to clarify requirements, assess feasibility and resolve implementation challenges.

Understand APIs, integrations, data flows, system dependencies and enterprise technology environments.

Participate in sprint planning, technical discussions, product reviews and architecture reviews where relevant.

Validate delivered features against requirements and lead functional and user acceptance testing.

Identify delivery risks, technical trade-offs and dependencies to ensure timely, high-quality releases.

Prototype or validate product concepts when required.

5. Product Strategy & Market Intelligence

Identify new product opportunities across financial services.

Evaluate customer needs, competitive products and emerging AI capabilities.

Develop industry-specific use cases and product propositions.

Collaborate with leadership to align product investments with customer demand, business objectives and long-term product strategy.

Experience & Qualifications

4–8 years of experience in Product Management, Business Analysis, BFSI Technology, FinTech or enterprise software.

Mandatory experience in BFSI, FinTech or financial-services technology.

Experience with enterprise products and collaboration with engineering or technology teams.

Working knowledge of at least one financial-services domain, such as banking, wealth management, stock broking, capital markets, insurance, NBFCs or financial advisory.

Experience in customer discovery, requirements gathering and product documentation.

Exposure to AI/Generative AI products is preferred but not mandatory.

Bachelor's degree from a recognized university; an MBA or equivalent qualification in product management or business is preferred.

Required Skills

Product Management

Requirements gathering, PRDs and functional specifications.

User stories, acceptance criteria and workflow design.

Roadmapping, prioritization and product lifecycle management.

Customer discovery, stakeholder management and product validation.

BFSI Domain Knowledge

Understanding of financial-services workflows, business processes and enterprise requirements.

Ability to engage with business users and translate operational challenges into technology solutions.

Technical Understanding

Working knowledge of AI/Generative AI, LLMs, AI Agents, RAG and Conversational AI.

Understanding of APIs, system integrations, data flows and cloud-based enterprise applications.

Ability to collaborate with AI and engineering teams on technical feasibility, dependencies and implementation trade-offs.

You do not need to be an AI engineer, but you must be comfortable understanding technical concepts and translating them into practical product requirements.

What Success Looks Like

Clear, implementation-ready product requirements and specifications.

Timely delivery of prioritized product features and roadmap milestones.

Successful launch and adoption of high-value AI-powered BFSI workflows.

Effective support for enterprise pilots, POCs and customer validation.

Strong alignment between customer needs, product priorities, AI capabilities and engineering execution.

Measurable improvements in customer productivity, operational efficiency and product engagement.

Why Join QubeLabs?

Build next-generation Enterprise AI Systems for financial services.

Work directly with founders and senior leadership in a high-ownership role.

Shape AI-powered products across banking, wealth management, brokerage and insurance.

Work at the intersection of BFSI, AI, enterprise intelligence and workflow automation.

Collaborate with teams developing QubeLabs' proprietary Vectro Series language models.

Contribute to enterprise markets across India and Europe.

Equal Opportunity

QubeLabs is an equal opportunity employer

committed to building a diverse and inclusive workplace where innovation thrives.

QA Project Manager

Location: Kochi, Kerala

Experience: 10–18 Years

Work Mode: Work from Office

Kerala based candidates preferrred

Role Overview

We are looking for an experienced QA Project Manager with 10–18 years of experience in software testing and quality assurance, including strong experience in project management within the QA domain.

The ideal candidate should have a strong QA/testing foundation combined with the ability to independently manage QA projects, delivery, resources, timelines, risks, stakeholders and releases.

This is not a pure QA/Test Lead position. The role requires proven experience in managing QA projects and driving end-to-end QA delivery.

Key Responsibilities

• Own and manage end-to-end QA projects from planning through release and closure.
• Define and execute QA project plans, schedules, milestones and delivery timelines.
• Manage QA resources, allocation, utilization and project priorities.
• Prepare project estimates, effort plans and resource requirements.
• Lead QA teams across multiple projects/workstreams.
• Monitor project progress, deliverables, dependencies, risks and issues.
• Drive SIT, UAT, regression, integration, system and release testing activities.
• Coordinate with Development, Business Analysis, Product, Business and other cross-functional teams.
• Manage client and stakeholder communication and provide regular project status updates.
• Own RAID management, risk mitigation and issue resolution.
• Track testing metrics, quality KPIs and project performance.
• Manage defect lifecycle and ensure timely resolution of critical issues.
• Coordinate with vendors and third-party teams where required.
• Ensure QA deliverables are completed within agreed timelines and quality standards.
• Support release planning, production readiness, go-live and post-release activities.
• Identify process improvements and drive QA best practices across projects.
• Provide leadership, mentoring and direction to QA team members.

Required Skills & Experience

• 10–18 years of overall IT experience, with significant experience in QA/Software Testing.
• Proven experience in QA Project Management / Project Management within the QA domain.
• Strong understanding of STLC, SDLC, Agile/Scrum and Waterfall methodologies.
• Experience managing QA teams and multiple workstreams.
• Strong experience in project planning, estimation, scheduling and resource management.
• Experience in stakeholder/client management.
• Strong experience in risk, issue, dependency and escalation management.
• Experience managing SIT, UAT, regression, integration and release activities.
• Strong reporting and project governance experience.
• Experience with tools such as JIRA, Azure DevOps, HP ALM, TestRail or similar.
• Strong communication, leadership and decision-making skills.

Preferred

• Experience managing enterprise QA projects.
• Experience working with distributed/onshore-offshore teams.
• Experience across banking, insurance, payments, retail, logistics or other enterprise domains.
• QA/Test management certifications such as ISTQB, CSM, PMP or equivalent are an advantage.

About VerbaFlo

VerbaFlo.ai is a fast-growing AI SaaS startup building a next-generation AI automation platform for real estate, PBSA, and enterprise teams — powering conversations, workflows, campaigns, and decision-making across channels. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions, as VerbaFlo scales rapidly across the UK, EU, and the US.

Role Overview

We are looking for a sharp Product Manager to help scale and evolve VerbaFlo’s AI automation platform, which is already live with real estate, PBSA, and enterprise customers across multiple markets. You will work closely with engineering, AI, design, and customer-facing teams to identify high-impact problems, define solutions, and ship features that deepen the value customers get from VerbaFlo every day. This is an ideal role for an experienced product manager who is comfortable going deep on technology, can own significant areas of the platform end to end, and wants to help shape product direction at a fast-scaling AI company.

Responsibilities

• Own the end-to-end product lifecycle for features and modules, from problem discovery to launch and iteration.
• Scale and evolve the core platform as our customer base grows, balancing new capabilities with reliability.
• Conduct customer discovery through interviews, call reviews, and feedback sessions across the UK, EU, and US.
• Translate customer and business needs into clear PRDs, user stories, and acceptance criteria.
• Prioritise the roadmap using data, customer impact, and business value, and communicate trade-offs clearly.
• Work closely with engineering on scoping, technical trade-offs, sprint planning, and delivery.
• Partner with AI/ML engineers to define use cases for LLM-powered agents, voice, and conversational workflows. Define evaluation criteria for AI features — accuracy, latency, hallucination rates, and conversation quality.
• Write and iterate on prompts, conversation flows, and agent behaviours alongside the AI team.
• Collaborate with design to create intuitive user journeys, wireframes, and prototypes.
• Define success metrics and build dashboards to track adoption, engagement, and customer outcomes.
• Analyse product usage data and conversation logs to identify gaps and opportunities.
• Run experiments and A/B tests to validate hypotheses and improve product performance.
• Coordinate launches with sales, marketing, and customer success, including release notes, demos, and enablement.
• Support integrations with CRMs, property management systems, and third-party platforms used by our customers.
• Gather and synthesise feedback from sales calls, support tickets, and enterprise client reviews.
• Track the competitive landscape and emerging AI capabilities, turning insights into product bets.
• Establish and own lean product processes, documentation, and rituals as the team scales.

Requirements

• 4-5 years of experience in Product Management, ideally in B2B SaaS or AI-first products.
• Track record of owning a product area end to end and driving measurable business outcomes.
• Experience taking a product or feature from 0 to 1 is preferred.
• Working understanding of LLMs, AI agents, APIs, and how modern software systems are built.
• Hands-on experience with AI tools, prompt engineering, or no-code/low-code builders is a plus.
• Ability to write crisp PRDs and communicate clearly with engineers, designers, and business stakeholders.
• Strong analytical skills; comfortable with SQL, spreadsheets, and product analytics tools.
• Customer-obsessed, with a track record of turning user insight into shipped product.
• Exposure to real estate, PBSA, proptech, or conversational AI is a strong plus.
• Comfortable working across time zones with international customers and teams.
• Strong ownership, bias for action, and follow-through on multiple concurrent priorities.
• Sharp, structured problem-solver who is comfortable operating with ambiguity.
• Ambition to grow into a senior product leadership role.

Why Join Us?

• Shape a live AI product used by enterprise customers, with real ownership from day one.
• Work alongside a strong, hands-on engineering and AI team.
• Work across global markets — UK, EU, India, and US.
• Work at the cutting edge of LLMs, voice AI, and agentic automation.
• A clear growth path toward senior product leadership.

If you’re a builder at heart who loves turning messy problems into products customers can’t live without, and you’re excited to help shape the future of AI automation at VerbaFlo, we’d love to hear from you!

Key Responsibilities

• Own and execute end-to-end GTM strategies for AI and technology products.
• Define target segments, ICP, use cases, positioning, messaging, and differentiation.
• Develop and execute product launch strategies across relevant channels.
• Partner closely with Sales, Marketing, Growth, and Product teams to drive pipeline, conversion, and adoption.
• Develop product messaging, sales enablement materials, use cases, and market-facing content.
• Conduct customer, market, and competitive research to identify new opportunities.
• Translate customer and market insights into product improvements and roadmap priorities.
• Work on pricing, packaging, monetization, and commercial strategy.
• Track adoption, activation, conversion, and other GTM metrics and continuously optimize.
• Identify new growth channels, experiments, and scalable GTM opportunities.

What We're Looking For

• 4–10 years of experience in Product Management, GTM, Product Marketing, Growth, Strategy, or related roles.
• Proven experience in taking technology/SaaS products to market.
• Strong understanding of GTM strategy, positioning, customer segmentation, adoption, and growth.
• Experience working closely with Sales and Marketing teams.
• Strong customer and market orientation with the ability to identify and validate business opportunities.
• Strong analytical, communication, and stakeholder-management skills.
• Comfortable working in a fast-paced, high-ownership startup environment

-Turn ambiguous ideas into clear product requirements and workflows.

- Break large ideas into small experiments that can be shipped quickly.

- Communicate customer problems, edge cases, and product intent clearly to engineers and designers.

- Work closely with engineering throughout implementation rather than simply handing over a PRD.

- Test the product yourself and continuously improve it based on actual usage.

### Customers & Market

- Speak directly with customers and prospects.

- Understand how they currently solve problems and where existing tools fail.

- Run product demos and gather structured feedback.

- Separate individual customer requests from broader product opportunities.

- Use customer conversations to continuously refine product strategy.

### Launch & Growth - Own launch strategy for the products and features you build.

- Define positioning, messaging, demos, onboarding, and initial adoption strategy.

- Work across product, engineering, sales, and customers to make launches successful.

- Measure what happened after launch and iterate quickly.

## What We're Looking For

-You likely have **2–4 years of experience** across product, engineering, startups, consulting, AI, or related roles. More importantly, you should have: - **~1 year of hands-on experience building with LLMs, agents, or AI applications.**

- Built actual AI workflows rather than only used ChatGPT or managed an AI project.

- Strong product judgment and ability to simplify complicated problems. - Comfort working with engineers and understanding technical trade-offs.

- Ability to perform deep market and customer research independently. - Strong written and verbal communication.

- High ownership — you naturally move from identifying a problem to getting something shipped.

- Comfort operating in an environment where the answer is often not known beforehand.

## Two Traits We Care About Deeply

### Constraint Thinking Great product people don't start with: *"What could we build?"* They start with: *"Given our users, technology, time, team, data, and constraints, what is the smartest thing we can build?"*

We value people who can reduce a large possibility space into a small number of high-leverage decisions. You should be able to distinguish between: -

interesting vs. useful,

- possible vs. reliable, AI Product Manager 2 / 4 AI Product Manager - demoable vs. production-ready,

- customer requests vs. underlying problems,

- AI capability vs. AI product.

### Grounded Energy AI moves incredibly fast, and it is easy to either become overly skeptical or overly excited. We want someone who has **high energy without hype**. You should be excited enough to constantly experiment with new technology, while grounded enough to recognize its limitations. You should naturally ask:

- Does this actually work?

- How often does it fail?

- What happens at scale?

- Can we evaluate it?

- Will customers actually change their behaviour for this?

- Is AI even necessary here?

## You Might Be a Great Fit If You have independently done things like: - Built an agent over a weekend to test a product idea.

- Compared multiple LLMs for a real use case.

- Created an eval dataset to test AI quality.

- Used tools such as Claude Code, Codex, Cursor, LangGraph, OpenAI Agents SDK, MCP, Langfuse, or similar systems.

- Automated parts of your own product or research workflow with agents.

- Interviewed users and changed the product based on what you learned.

- Gone from idea to prototype to customer feedback to production. - Read product documentation, GitHub repos, Reddit discussions, research papers, and competitor products to understand a market deeply.

## This Role Is Probably Not For You If

- You primarily see PM as backlog management and sprint coordination. - You need detailed requirements before you can start working.

- You prefer delegating prototyping and experimentation entirely to engineering.

- You haven't spent meaningful time building with modern AI tools.

- You enjoy creating large strategy documents more than testing ideas with users.

- You are uncomfortable making decisions with incomplete information.

## What Success Looks Like Within your first few months, you should be able to independently: AI Product Manager 3 / 4 AI Product Manager - understand a customer problem,

- research the market,

- identify a promising product opportunity,

- prototype an AI workflow,

- define how its quality should be evaluated,

- work with engineering to productionize it,

- speak with early users,

- launch it,

- measure adoption,

- and recommend what we should do next.

Key Responsibilities

Define product strategy, roadmap, and product development plans.

Conduct market and competitor analysis to identify new opportunities.

Drive product adoption, customer experience, conversion, and business growth.

Work with UX/UI, Engineering, Marketing, Operations, and Customer Support teams.

Track product performance using

Google Analytics and other analytics tools

.

Analyze customer feedback and data to drive product improvements.

Manage product launches, integrations, documentation, and internal training.

Identify opportunities for innovation, revenue growth, and product enhancement.

Requirements

Experience in

Product Management

, preferably within Travel/OTA/TravelTech.

Strong understanding of product strategy, roadmap, analytics, and execution.

Experience with

Google Analytics/product analytics tools

.

Strong communication, problem-solving, and stakeholder management skills.

Ability to manage multiple projects in a fast-paced environment.

We are looking for a driven and analytical Product Manager to lead the planning, development, and continuous improvement of our digital products. The candidate will work closely with engineering, design, marketing, sales, and business teams to translate customer and business needs into successful product solutions.

Key Responsibilities

• Define and communicate the product vision, strategy, and roadmap.
• Gather and analyze customer, market, and business requirements.
• Translate requirements into clear product specifications, user stories, and acceptance criteria.
• Prioritize features and maintain the product backlog.
• Work closely with developers, designers, QA, and other stakeholders throughout the product development lifecycle.
• Conduct market and competitor research to identify opportunities.
• Coordinate product launches and feature releases.
• Track product performance using relevant KPIs and analytics.
• Collect and analyze customer feedback to improve the product.
• Identify usability issues and recommend product enhancements.
• Participate in Agile/Scrum activities, including sprint planning and reviews.
• Ensure product initiatives align with overall business objectives.

Technical Product Manager – Healthcare

Required Experience

• 5+ years in technology product or platform product roles.
• Demonstrated experience delivering healthcare technology products.
• Direct exposure to healthcare data, analytics, or AI-enabled solutions.
• Experience operating in regulated environments, including HIPAA, PHI, and healthcare compliance.
• Proven ability to lead complex healthcare initiatives through ambiguity and change.

Healthcare Domain Expertise

• Strong understanding of healthcare operations and workflows, including:
• Payer
• Provider
• Care Management
• Familiarity with healthcare domains such as:
• Utilization Management (UM)
• Care Management / Case Management
• Prior Authorization
• Ability to translate clinical and operational workflows into scalable technology solutions.
• Strong understanding of regulatory, compliance, and patient safety considerations in product decisions.

Product & Strategy

• Outcome-driven product mindset grounded in healthcare realities and AI/data-first thinking.
• Ability to identify where data, analytics, and AI can improve healthcare outcomes or reduce administrative burden.
• Roadmap ownership integrating:
• Core healthcare capabilities
• Data and interoperability foundations
• Analytics and AI enablement
• Prioritization informed by:
• Clinical impact
• Operational value
• Feasibility
• Risk
• Strong problem framing focused on insight generation, automation, and scale.

Data, Analytics & AI Enablement

• Working understanding of:
• Healthcare data domains, including member, provider, clinical, authorization, and outcomes data.
• Data flows across payer, provider, and partner systems.
• Ability to partner with Data Engineering, Analytics, and AI teams to:
• Enable reliable healthcare analytics and reporting.
• Support decision-making through insights and AI-assisted summarization.
• Experience defining requirements for:
• Operational and clinical dashboards.
• KPIs tied to quality, efficiency, cost, and experience.
• AI-enabled analytics, including summarization, prioritization, and decision support.
• Awareness of data quality, lineage, interoperability, and adoption challenges in healthcare.

AI & Automation in Healthcare

• Understanding of AI use cases relevant to healthcare:
• Clinical and operational summarization.
• Decision support with human-in-the-loop.
• Workflow automation and prioritization.
• Ability to balance innovation with:
• Responsible AI practices.
• Explainability and auditability.
• Regulatory and ethical considerations.
• Experience guiding AI from pilot to production to scaled adoption in healthcare settings.

Technology & Architecture Knowledge

• Understanding of modern architectures supporting healthcare data and AI:
• APIs
• Microservices
• Cloud platforms
• Data platforms
• Interoperability layers
• Integration patterns
• Ability to evaluate build vs. buy vs. reuse with healthcare constraints in mind.
• Comfort navigating legacy systems, technical debt, and complex integrations common in healthcare ecosystems.

Delivery & Execution

• Agile / SAFe execution with emphasis on progress, readiness, and adoption.
• Strong dependency and risk management across:
• Product teams
• Data pipelines
• Analytics platforms
• AI platforms
• Release planning that includes:
• Data readiness and validation.
• Analytics accuracy.
• AI model monitoring.
• Compliance checks.

Stakeholder & Communication

• Trusted partner to business, clinical, and operations leaders.
• Clear articulation of trade-offs, risks, and value realization.

Associate Product Manager TAP INVEST

Location: Bangalore · On-site, 5 days/week in office

Experience: 1–3 years, in Product, Analytics, or Consulting Function:

Product Management

About Tap Invest

Tap Invest is India's leading Fixed Income Investment Platform, committed to empowering investors with secure and smart investment opportunities. Join us in the pursuit of Financial Freedom through our innovative approach to wealth creation. The Role As a Associate Product Manager at Tap Invest, you will own end-to-end product structure for your area - from framing the problem to shipping and measuring the outcome. You'll drive growth-centric features that move core metrics, and lead the infrastructural and platform changes that let the product scale reliably.

What You'll Do → Own end-to-end product structure — from problem framing and scoping to shipping and measuring outcomes. → Build growth-centric features that move activation, engagement, and retention metrics. → Lead infrastructural and platform changes needed to scale the product reliably. → Work closely with engineering, design, and stakeholders to turn strategy into shipped product. → Build high-impact product experiences that help users make smarter investment decisions. → Own outcomes, not just features or sprints. → Tackle complex, ambiguous problems across investments, user engagement, and more.

What We're Looking For → 1–3 years of experience in Product Management, Analytics, or Consulting. → Strong hands-on SQL skills — comfortable pulling and interpreting data independently. → Proven ability to scope problems and write clear PRDs from ambiguous inputs. → A strong sense of ownership — you drive things to closure without being told to. → Ability to lead with clarity, aligning engineering, design, and stakeholders around a shared plan. → Strong with data — comfortable using it to prioritize, validate, and course-correct.

Good to Have → Prior experience in Fintech or BFSI — a strong plus.  

Product Manager – AI/GenAI

Our AI platform that lets people ask questions of their enterprise data in natural language and get trustworthy answers. The hard part isn't the model — it's the fit between what the product can genuinely do and what customers actually need, over data that is never as clean as anyone hopes. We're hiring a Product Manager to own that fit: to do the detailed thinking on customer pain, competitive landscape, and where the technology is going, and to turn it into a sharp, defensible product proposition and roadmap. You'll work closely with the CTO (who currently carries this thinking) and become the person who owns the depth beneath it.

What you'll own

• Proposition & positioning. Take fuzzy capability and turn it into a clear, honest, defensible articulation of what Jiva is, who it's for, and why it wins. Kill the gap between what's sold and what's deliverable.

• Customer intelligence (within the current structure). Sales and Delivery own the customer relationship today; you build the customer picture through them —mining PoC post-mortems, win/loss, readiness audits, sales-call notes, and Delivery's ground truth. Extract real jobs-to-be-done, separate stated wants from underlying pain, and bring a synthesized customer voice into the room. Over time, earn a path to direct customer contact — but you'll start by getting more 

out of the signal the field teams already carry than anyone does today.

• Competitive & technology intelligence. Track the space — RAG, text-to-SQL, tabular/relational foundation models, agentic systems, the commercial players — and synthesize it into product direction. Know what's real and what's marketing.

• Requirements & roadmap. Translate the above into crisp requirements and a prioritized roadmap, in partnership with Engineering. Make the trade-offs explicit.

• Sales & Delivery enablement. Own the "what we can honestly promise" story so field teams stop overselling and start qualifying. You are the source of truth on capability boundaries.

Must-haves

• 5+ years in B2B / enterprise product management, ideally on data, analytics, AI/ML, or platform products.

• Demonstrated ability to frame a proposition — you can show us a product or feature where you turned raw capability into a positioning that won customers. Portfolio evidence, not a claim.

• Technical fluency in AI/data. You understand RAG, LLMs, text-to-SQL, and data quality well enough to judge feasibility vs. hype and to earn engineers' respect. You don't need to code; you need to reason.

• Customer discovery skill — and the resourcefulness to apply it 

indirectly. You've run structured discovery and can distinguish what customers say from what they need. Just as important here: you can extract sharp customer insight secondhand — through sales and delivery teams, deal histories, 

and product usage — because you won't have direct customer access on day one.

• Evidence-driven and structured. You validate before you evangelize. Strong written thinker — you can put a proposition on one page and defend it.

Nice-to-have

• Exposure to NL→SQL, semantic layers, knowledge graphs, or enterprise data governance.

• 0-to-1 or turnaround experience — comfort building the function, not just running it.

• Experience selling into or building for regulated / data-sensitive enterprises

Job Title : Senior Product Manager (Forward Deployed)

Experience : 4 to 8 Years

Location : Bengaluru | Mumbai | Pune

Positions : 20

Work Mode : In-Office – 5 Days

Job Role :

We are looking for a Senior Product Manager – Forward Deployed to work closely with enterprise customers, understand complex business requirements, and translate them into AI-powered solutions using the UnifyApps platform.

The role requires a strong combination of Product Management, technical solutioning, enterprise integrations, GenAI, and customer-facing skills. You will own the customer journey from discovery and solution design through deployment, go-live, and outcome measurement.

Key Responsibilities :

• Work closely with enterprise customers to identify use cases and requirements.
• Build and deploy AI agents, automations and applications.
• Own technical & functional solution design and enterprise integrations.
• Conduct discovery workshops, demos and go-live activities.
• Define deployment success metrics and drive outcomes.
• Collaborate with Product & Engineering to turn customer needs into platform capabilities.
• Lead and mentor Forward Deployed Engineers.

Must Have :

✅ 4+ years of Product Management experience in product companies.

✅ Enterprise platform deployment & integration experience.

✅ Strong technical aptitude with GenAI & API integrations.

✅ Experience working with Engineering, Design & QA teams.

✅ Excellent presentation and communication skills.

✅ Strong problem-solving and execution mindset.

✅ Tier-1 B2C product or Series B+ B2B product company experience.

⭐ Preferred : Enterprise AI deployment experience, including agent evaluation, guardrails and observability.

Job Role: Product Manager

Location: Noida / Bengaluru

Experience: 4–5 Years

Employment Type: Full-time

Industry: FinTech / Payments

About the Role

We are looking for an experienced Product Manager to join our team and drive the development and growth of our fintech and payment products.

The ideal candidate should have 4–5 years of overall Product Management experience, including a minimum of 3 years of experience in the FinTech industry. Hands-on experience in Subscription Management and Global Payments is mandatory.

The candidate will work closely with Engineering, Business, Operations, Compliance, and other cross-functional teams to define product strategy, manage the product roadmap, and deliver scalable and customer-focused payment solutions.

Key Responsibilities

• Own the end-to-end product lifecycle, from discovery and ideation to development, launch, and continuous optimization.
• Define product vision, strategy, roadmap, and priorities aligned with business objectives.
• Drive products and features related to Global Payments and Subscription Management.
• Gather customer, merchant, and business requirements and translate them into actionable product requirements.
• Prepare and maintain PRDs, user stories, product specifications, and acceptance criteria.
• Collaborate with Engineering, Design, Business, Operations, and Compliance teams to deliver products effectively.
• Manage and prioritize the product backlog based on customer needs, business impact, feasibility, and strategic priorities.
• Analyze product and transaction data to identify opportunities, bottlenecks, and areas for improvement.
• Define and monitor key product metrics and KPIs.
• Conduct market and competitor research to identify trends and opportunities in the global payments and fintech ecosystem.
• Drive improvements across payment journeys, subscription lifecycle, recurring billing, renewals, cancellations, refunds, settlements, and related workflows.
• Collect customer and stakeholder feedback and convert insights into product enhancements.
• Coordinate product launches and ensure effective communication across relevant teams.
• Ensure products are scalable, secure, reliable, and aligned with applicable regulatory and compliance requirements.

Mandatory Requirements

• 4–5 years of total Product Management experience.
• Minimum 3 years of Product Management experience in the FinTech industry.
• Hands-on experience in Subscription Management / Recurring Billing.
• Hands-on experience in Global Payments / Cross-Border Payments.
• Strong understanding of payment processing and fintech product ecosystems.
• Experience working closely with Engineering and other cross-functional teams.
• Strong product discovery, roadmap planning, prioritization, and execution skills.
• Excellent analytical, communication, and stakeholder-management skills.

Good to Have

• Experience with Merchant of Record (MoR) platforms.
• Experience with payment gateways, payment orchestration, checkout, or payment APIs.
• Exposure to international settlements, refunds, chargebacks, and reconciliation.
• Understanding of payment compliance and regulatory requirements.
• Experience working with B2B SaaS or API-based products.
• Familiarity with Agile/Scrum methodologies.

Key Competencies

• Product Strategy & Roadmap
• FinTech & Payment Products
• Global Payments
• Subscription Management
• Product Analytics
• Customer-Centric Product Development
• Stakeholder Management
• Agile Product Development
• Problem Solving & Decision Making

Apply here:

https://docs.google.com/forms/d/e/1FAIpQLSfiDMeHRTVFDcP9xDqRKa9hPsgwHWj2qnHzDIKzSYsgDiyltA/viewform?usp=header

The Mandate: Lead the Generative AI revolution at Habuild.

Habuild is the world’s largest online yoga community, reaching over 1.8 Crore users. We are fully bootstrapped, profitable, and growing at a triple-digit YoY rate. We are looking for an elite Product Manager (GenAI) to join our core team in Bangalore and take full ownership of our AI-driven wellness initiatives.

About the Role: You will build the intelligence layer that guides millions through their daily health journey. This is a Zero-to-One ownership role at the intersection of consumer psychology, conversational AI, and wellness. You won’t just be managing a roadmap; you will be architecting the conversational solutions that make our platform intuitive, empathetic, and impactful for a non-tech-savvy audience (45+).

Key Responsibilities:

• Own the GenAI Vision: Identify high-impact conversational use cases (e.g., personalized coaching, subscription handling, habit-reinforcement) and define the roadmap from ideation to public launch.
• Technical Architecture: Collaborate with engineering to select and integrate the GenAI stack, including LLMs (OpenAI, Anthropic, Gemini), RAG pipelines, and vector databases, ensuring a balance between performance, latency, and cost.
• Prompt Engineering & Data: Work hands-on with chat logs and documentation to perform iterative prompt engineering and build retrieval pipelines that ensure contextual accuracy.
• Design Trustworthy Flows: Craft on-brand conversational experiences, including fallback logic and escalation triggers, ensuring our AI feels human and supportive.
• Data-Driven Iteration: Define KPIs (resolution rate, accuracy, user satisfaction), interpret complex data, and run high-velocity experiments to optimize the user experience.

Skills & Experience:

• Experience: 4-10 years of total product management experience, with at least 1 year building Generative AI or NLP-based products (chatbots, virtual assistants).
• Technical Fluency: Familiarity with LLM APIs, vector databases, and RAG frameworks. You are comfortable discussing technical logic (Python, prompt engineering) with our engineering team.
• User-Centered Design: Strong empathy for the user; ability to craft intuitive experiences for people who aren't "tech-savvy."
• Quality Ownership: A high bias for shipping polished, reliable solutions. You have an eye for edge cases, hallucinations, and unintended behaviors.
• Communication: A clear, concise communicator who bridges the gap between engineering, customer care, and leadership.

The "Habuild" Experience: To truly align with our mission, we ask that you experience our platform firsthand. During the process, we encourage you to join our free yoga program via habit.yoga and share your feedback on how we can improve.

Why Join Habuild?

• Real Impact: Your AI products will directly improve the well-being of millions who rely on us every morning.
• True Ownership: You define the vision, the stack, and the roadmap. No VC red tape—just pure execution.
• Compensation: We offer a top-tier cash salary and substantial ESOPs.
• Mission-Driven: Join a profitable, fast-scaling movement where your work is visible and meaningful from Day 1.

Location: In-office (Bangalore)

Roles & Responsibilities

What you'll do

• Embed with enterprise customers to understand their business processes, systems landscape, and data. Translate that into concrete use cases for AI agents, automations, and applications.
• Build working solutions on the UnifyApps platform yourself, using the no-code builders, integrations, and data layer. Ship, iterate, and get to production.
• Own the technical and functional design of deployments across systems like Salesforce, Workday, SAP, ServiceNow, core banking and telecom stacks.
• Work with customer stakeholders from process owners up to CXOs. Run discovery workshops, demos, solution reviews, and go-live.
• Define success metrics for each deployment and hold the deployment to them.
• Feed patterns and gaps back to the core product and engineering teams. Turn repeated custom work into platform capability.
• Support pre-sales and pilot conversations where deep product depth is needed.

Ideal Candidate

1Strong Forward Deployed Product Manager Profile with robust exposure to client facing delivery

2Mandatory (Experience 1) - Must have 4+ years of product management experience with a track record of shipping successful products with product companies

3Mandatory (Experience 2) Must have hands-on experience driving platform deployment and integrations for enterprise clients — acting as the technical/product owner to understand client requirements, design the solution, and connect the platform with enterprise systems, APIs, and data sources.

4Mandatory (Tech skill 1) - Must have strong technical aptitude with hands-on experience in GenAI and API integrations

5Mandatory ( Skill 1): Must have experience working closely with designers, engineers, testers and other stakeholders

6Mandatory (Skill 2): Must be very good at making impactful presentations, with strong communication and presentation skills

7Mandatory (Skill 3) - Must have a bias to build, with comfort in ambiguity and evolving scope

8Mandatory (Skill 3): Must be able to lead and mentor a team of Forward Deployed Engineers, helping them grow into future product leaders

9Mandatory (Company) - Tier1 B2C product companies or Series B+ funded B2B product companies

10Preferred (AI Depth) - Exposure to enterprise AI deployments in production, including evaluation, guardrails, and observability of agents.

Job Description

MyOperator is building AI-driven conversational surfaces — chatbots and voicebots that handle real business conversations, run structured journeys, pull from knowledge bases, and hand off to human agents when needed. We're looking for a Product Manager to own this domain: someone who genuinely understands how LLMs and RAG (Retrieval-Augmented Generation) systems work, and can turn that understanding into product decisions — what to build, which model tradeoffs to make, and how to know if a chatbot or voicebot is actually working.

This is a technical AI product role. You'll be defining journeys, knowledge base behavior, and evaluation criteria for systems where outputs are probabilistic, not deterministic — so the ability to reason about model behavior, failure modes, and retrieval quality matters as much as classic product skills.

About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.

MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

Key Responsibility Areas

• Own the conversational AI product roadmap — chatbot and voicebot journeys, knowledge base/RAG behavior, and model selection — writing specs that account for real LLM behavior and failure modes, not just ideal-case flows.
• Define and maintain how success is measured — partner with engineering to build and evolve eval systems that track quality (accuracy, containment, hallucination rate) so every release has a clear bar to clear.

Requirements — Must Have

• Strong practical understanding of how LLMs work — prompting, context windows, tool/function calling, and their real-world limitations in production systems.
• Solid understanding of RAG (Retrieval-Augmented Generation) systems — how retrieval, embeddings, and knowledge bases feed into model responses, and where these systems typically break down.
• Working knowledge of the AI model landscape — tradeoffs between models on cost, latency, and accuracy — and how to translate that into build/model-selection decisions for a product.
• Demonstrated ability to write specs for AI-driven product surfaces (chatbot/voicebot journeys, escalation/handover logic) that explicitly account for probabilistic model behavior and edge cases.
• 4+ years as a Product Manager, with meaningful hands-on time owning an AI/LLM-powered product end to end.

Requirements — Good to Have

• Hands-on background building or shipping chatbots or voicebots — design, integrations, and deployment.
• Experience designing conversational journeys — structured, multi-step dialogue or task flows for chat or voice agents.
• Experience building or defining eval systems/frameworks to measure chatbot or voicebot success (e.g., accuracy, containment rate, hallucination rate).
• Familiarity with prompt engineering and iterating on prompts/journeys based on eval results.
• Experience designing human-handover or escalation flows between a bot and a live agent.

This profile is not for

• Candidates who treat "AI feature" as a checkbox without understanding how LLMs and RAG systems actually behave in production, including their failure modes.
• Candidates focused purely on traditional, deterministic software product work with no interest in model behavior, prompt design, or evaluation methodology.
• Candidates uncomfortable with ambiguity — AI product behavior is probabilistic, and specs need to account for that rather than assume fixed outcomes.

Job Description

MyOperator's Telephony platform powers call handling, IVR routing, number/DID provisioning, and outbound dialer campaigns for over 12,000 businesses. We're looking for a Product Manager to own this domain - someone with genuine technical depth in telephony and voice systems, who can translate how these systems actually work into a clear, well-sequenced roadmap and partner closely with engineering to ship it.

This is a technical, hands-on role suited to a PM who understands the mechanics of telephony infrastructure - call routing strategies, IVR state machines, DID lifecycle management, SIP/Asterisk-based call systems and can write specs that hold up against how these systems are actually built, not just how they appear on the surface.

About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.

MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

Key Responsibility Areas

• Own the Telephony product roadmap end-to-end - call handling, IVR/routing, DID provisioning, and outbound dialer campaigns - writing specs grounded in real system architecture and partnering closely with engineering to ship them.
• Maintain delivery visibility and alignment across the roadmap, using tools like Jira to track progress, sequence dependencies, and keep priorities clear for engineering.

Requirements — Must Have

• Strong technical understanding of telephony and voice infrastructure - IVR call flows and state machines, call routing strategies (round robin, simultaneous, sequential), SIP/Asterisk-based call systems, and DID/number provisioning and lifecycle management.
• 4+ years as a Product Manager/Product Owner on a technical or infrastructure-heavy product (telephony, VoIP, messaging/CPaaS, or a comparably systems-heavy backend domain), with end-to-end ownership of a roadmap you can speak to in specifics.
• Demonstrable ability to read and reason about backend system design - can point to specs/PRDs you've written that account for real constraints like state machines, REST APIs, webhooks, or rate limits, not just UI/wireframe-level requirements.
• Comfortable working within engineering's own tooling (e.g., Jira) to track delivery progress and dependencies as part of the regular workflow.
• Demonstrated ownership of predictable, high-throughput delivery on a technical roadmap, with clear outcomes you can speak to.

Requirements — Good to Have

• Experience working with voice agents/voicebots (e.g., AI-driven call handling, IVR-to-bot handoff, conversational voice systems) — a strong plus given where our roadmap is headed.
• Experience with WhatsApp Business API or other messaging platforms.
• Prior exposure to outbound dialer / campaign-calling systems (OBD).
• SQL or basic scripting ability to work directly with product/ticket data.
• Prior experience at a CPaaS, UCaaS, or contact-center software company.

This profile is not for

• Candidates who prefer to operate purely at the conceptual/strategy level without engaging with system architecture or engineering-level detail.
• Candidates who aren't comfortable using ticket-tracking tools as part of their regular workflow to track delivery and dependencies.
• Candidates without genuine, hands-on exposure to telephony systems or comparably complex technical infrastructure

Strong Forward Deployed Product Manager Profile with robust exposure to client facing delivery

2

Mandatory (Experience 1) - Must have 4+ years of product management experience with a track record of shipping successful products

3

Mandatory (Experience 2) Must have hands-on experience driving platform deployment and integrations for enterprise clients — acting as the technical/product owner to understand client requirements, design the solution, and connect the platform with enterprise systems, APIs, and data sources.

4

Mandatory (Tech skill 1) - Must have strong technical aptitude with hands-on experience in GenAI and API integrations

5

Mandatory ( Skill 1): Must have experience working closely with designers, engineers, testers and other stakeholders

6

Mandatory (Skill 2): Must be very good at making impactful presentations, with strong communication and presentation skills

7

Mandatory (Skill 3) - Must have a bias to build, with comfort in ambiguity and evolving scope

8

Mandatory (Skill 3): Must be able to lead and mentor a team of Forward Deployed Engineers, helping them grow into future product leaders

9

Mandatory (Company) - Tier1 B2C companies or Series B+ funded B2B companies

10

Preferred (AI Depth) - Exposure to enterprise AI deployments in production, including evaluation, guardrails, and observability of agents.

About Meera Labs

Meera Labs is building Meera, your personal companion powered by Conscious Intelligence. We are looking for a curious, hands-on Product & Growth Intern to help us grow adoption and improve the product.

What you will do

• Spend about 40% of your time on user outreach, community conversations, and customer discovery.

• Spend about 60% of your time on product and growth experiments, landing pages, messaging, funnels, and retention ideas.

• Run experiments, measure results, and turn learning into clear product recommendations.

• Help acquire at least 10 new paying customers each week through thoughtful, organic outreach, plus additional paid-growth work.

• Research users and competitors and share concise insights with the team.

What we are looking for

• Strong ownership, curiosity, clear written communication, and comfort talking to users.

• Interest in startups, product, growth, marketing, and experimentation.

• Ability to work independently in a remote environment and learn quickly.

• Students, recent graduates, and early-career applicants are welcome.

What you get

• 3-month remote internship with founder mentorship.

• ₹7,500 per month stipend.

• 5% uncapped commission on each sale you generate.

• 5,000 Meera Coins and hands-on startup experience.

• Immediate start; flexible schedule with reliable weekly availability.

How to apply

Apply through Cutshort. Upload your CV and include a short note with your availability, one example of something you built or grew, and your answer to: What growth experiment would you run in your first week for Meera, and why?

Product Manager / Associate Product Manager

Turn messy real-world problems into simple products.

AbleCredit builds software for complex enterprise workflows where AI, APIs, business rules, human decisions, and real-world operations have to work together reliably. We care about building products that work in production - not just in demos. Our customers don't arrive with clean product requirements. They have operational problems involving people, policies, existing systems, edge cases, and workflows built over years. Product at AbleCredit means understanding that complexity deeply and turning it into reusable, simple product capabilities.

What You'll Own?

• Spend time with customers and internal teams to understand workflows, constraints, and the real problem behind requests.

• Translate ambiguous operational problems into clear product requirements, user journeys, and measurable outcomes.

• Work closely with engineering and design from discovery through rollout rather than handing off specifications.

• Prioritize based on customer impact, product strategy, effort, risk, and reuse across customers.

• Define success metrics and evaluate whether shipped products actually improve the workflow.

• Own launches, feedback loops, adoption, and iteration after release.

• Identify patterns across customer requests and turn them into reusable platform capabilities instead of one-off customizations.

• Maintain clarity on what we are building, why we are building it, and what we deliberately are not building.

What We're Looking For?

• 1-5 years of product, engineering, analytics, consulting, operations, or adjacent experience; level will be calibrated to experience.

• Strong problem decomposition and structured thinking.

• Ability to understand technical systems, APIs, data flows, and constraints well enough to work deeply with engineers.

• Excellent written and verbal communication.

• Comfort speaking with customers and asking detailed questions until the underlying workflow is understood.

• Bias toward evidence, prototypes, and shipped outcomes rather than process for its own sake.

• Ability to operate with ambiguity and make sensible trade-offs.

Nice to Have

• Experience with B2B SaaS, enterprise software, workflow products, fintech, or AI-assisted products.

• Technical background or prior engineering experience.

• Experience working with APIs, integrations, analytics, or operational products.

• Experience taking a product from discovery through adoption.

How Product Works Here?

Product managers are expected to understand the problem deeply, not act as ticket routers. The best solution may be a new feature, a platform primitive, a workflow change, an API, or deciding not to build something. Success is measured by customer and product outcomes, not PRD volume.

Senior Product Manager – AI / B2B SaaS

Location: Bengaluru

Work Mode: Work from Office

Experience: 5+ years

Department: Product Management

About LeadSquared

LeadSquared is a leading Sales CRM for high-velocity revenue teams, helping businesses manage leads, sales processes, customer interactions, marketing, and revenue workflows at scale.

We serve businesses where large sales teams manage high volumes of leads and customer interactions, making speed, prioritisation, automation, and effective sales execution critical to revenue growth.

Role Overview

We are looking for a Senior Product Manager – AI to own the roadmap and end-to-end execution of AI products within LeadSquared.

Key Responsibilities

• Own the roadmap, prioritisation, and end-to-end execution for your AI product area.
• Understand customer problems and identify where AI can create meaningful, scalable value and translate them into clear product requirements and scalable solutions.
• Drive products from discovery and 0→1 development through launch, adoption, and iteration.
• Build and scale end-user-facing AI experiences that work reliably within enterprise workflows. 
• Make informed product decisions considering quality, latency, and scale trade-offs in production AI systems.
• Work closely with Engineering, Design, AI/ML, Data, and GTM teams to ship high-quality products.
• Define and track product adoption, engagement, customer outcomes, and business impact.
• Drive GTM, adoption, and continuous product optimisation.

What We're Looking For

• 5+ years of Product Management experience.
• 2+ years of hands-on Product Management experience building AI products.
• Strong B2B SaaS product experience.
• Experience in 0→1 product development and launches.
• Strong product discovery, prioritisation, roadmap management, and execution skills.
• Familiarity with AI evaluations (evals), observability, guardrails, and human oversight.
• Data-driven approach with strong understanding of product metrics.
• Excellent communication, problem-solving, and stakeholder management skills.
• Candidates from Tier 1 / Tier 1.5 / Tier 2 colleges preferred.

Good to Have

• Experience building products using GenAI, LLMs, RAG, AI Agents / Agentic AI, or ML-based decision systems.
• Experience in CRM, SalesTech, MarTech, or Enterprise SaaS.
• Experience building AI products for sales, revenue, operations, or other enterprise users.
• Experience taking an AI capability from an early prototype to a reliable, scalable enterprise product.
• Candidates who have built AI side projects will have a preference. Share links to live products, prototypes, demos, GitHub repositories, agents, or apps you’ve built.
•  

Job Description

This is a remote position.

Experience Level

We're looking for a seasoned Product Owner with at least 2–4 years of experience owning a product backlog end-to-end within an Agile delivery environment. You should be a "delivery craftsperson" who can demonstrate a track record of turning ambiguous, cross-team requirements into shipped, working software — with particular comfort operating inside platforms where your product's success depends on coordination with teams you don't manage.

Role Overview

As a Product Owner, you will own the backlog and delivery cadence for one product within a tightly interconnected platform, where your product's roadmap depends on — and feeds into — several sibling products. You'll act as the point of alignment between engineering teams, supporting product managers, and client stakeholders, translating business and compliance needs into backlog items ready for a development team to execute against.

A key part of the role is holding the line on requirements quality: defining clear acceptance criteria before work enters a sprint, and sequencing competing demands — new features, maintenance of live services, and production support — that your team carries simultaneously. Because your product does not operate in isolation, a large part of the job is coordinating dependencies across teams that don't report to you.

Key Responsibilities

• Backlog Ownership & Requirements Definition: Own and prioritize the product backlog; define acceptance criteria for accuracy, completeness, and readiness before stories are marked sprint-ready.
• Cross-Team Dependency Coordination: Sequence and negotiate delivery across multiple dependent engineering teams (platform, integration, infrastructure, and adjacent product teams), since most features require multi-team scheduling rather than single-team execution.
• Delivery Prioritization Under Competing Demands: Balance new feature development, maintenance of live production services, and active production support within the same backlog, without letting one silently starve the others.
• Domain Ramp-Up: Build working depth in the specific technical and regulatory domain tied to your assigned product — this may include healthcare EDI transaction standards, web-automation/data-extraction reliability, credential and access-security models, or regulated payments and remittance processing, depending on placement.
• Stakeholder & Requirements Governance: Partner with the supporting Product Manager and client-side stakeholders to close open requirement decisions before development starts, hold sign-off discipline, and manage rework risk from late-stage scope changes.
• Data & Interface Quality Ownership: Where your product's output feeds downstream systems, own the interface contract (field definitions, data completeness, naming) to prevent avoidable rework further down the chain.

Requirements

What We're Looking For

• Proven Product Ownership Experience: Track record owning a backlog end-to-end in an Agile environment, ideally within a platform where products are tightly coupled rather than independent.
• Domain Adaptability: Comfort ramping quickly into unfamiliar technical or regulatory domains — some assignments require near-immediate fluency (e.g., regulated payments, EDI standards), while others allow for a longer runway.
• Cross-Functional Coordination Skills: Demonstrated ability to sequence work and resolve competing priorities across multiple engineering teams that don't report into the same chain.
• Analytical Rigor: Ability to write precise, testable acceptance criteria and reason through data quality or completeness gaps before they become delivery blockers.
• Strong Stakeholder Communication: Comfortable representing product status and trade-offs to both engineering teams and client-facing stakeholders, in plain, non-technical language when needed.
•  Judgment Under Ambiguity: Able to recognize when a decision needs escalation versus independent ownership — particularly important for the more regulation-heavy assignments, where working without senior support isn't advisable early on.

Benefits

Life at Incubyte 

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Perks

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance. 
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance

We are looking for a highly strategic and execution-oriented Senior Product Manager / Product Manager – CMS & Digital Experience Platform to drive the evolution of Milestone’s AI-first CMS and Digital Experience capabilities.

This role requires a product leader who can deeply understand enterprise customer problems, market trends, AI-led content evolution, SEO/GEO dynamics, Personalization, and modern web experience requirements while partnering closely with Engineering, Design, GTM, Customer Success, and Enterprise Customers.

You will own product strategy, roadmap prioritization, customer outcomes, adoption metrics, Customer communication, and feature execution for our next-generation CMS platform.

Problems We Are Looking to Solve

• Enterprise-scale AI-driven content management
• Discoverability across Search and Generative AI ecosystems
• AI-powered content optimization and governance
• SEO/GEO-native digital experiences
• Conversion-focused, hyper-personalized customer journeys

Key Responsibilities

Strategic Vision & Leadership

• Define and execute product vision and roadmap\
• Drive AI-first product innovation
• Conduct market and competitive analysis
• Translate customer pain points into scalable solutions
• Understand customer churn and derive strategies to reduce future churn

Operational Excellence & Growth

• Own product lifecycle from ideation to launch
• Create PRDs, user stories, and documentation
• Drive roadmap execution with Engineering teams
• Monitor adoption, engagement, and retention KPIs

Innovation & Culture

• Champion AI-native product thinking
• Foster innovation and accountability culture
• Evangelize product capabilities internally and externally
• Stay ahead of CMS, Digital asset management and AI trends

Cross-Functional Alignment

• Collaborate with Engineering, UX, Marketing, Sales, and CS teams
• Partner with Product Marketing for GTM initiatives
• Support enterprise sales cycles and customer workshops

Customer Impact

• Act as voice of the customer
• Improve customer adoption and success outcomes
• Ensure measurable business impact

Talent & Empowerment

• Mentor junior product team members
• Promote ownership and continuous learning
• Strengthen product management best practices

Ideal Candidate Profile

The ideal candidate is a customer-centric product leader with strong experience in B2B SaaS platforms, CMS technologies, AI-led digital experiences, and enterprise-scale product management.

Required Experience & Qualifications

• 8+ years of Product Management experience in B2B SaaS
• Experience with CMS, Digital Experience Platforms, or Martech
• Strong understanding of APIs and modern web architectures
• Experience collaborating with Engineering and Design teams
• Strong analytical and communication skills

Key Focus Areas

• AI-native CMS innovation
• SEO/GEO-first digital experiences
• Enterprise content scalability
• Product-led growth and adoption

Capabilities

1. Product Strategy & Roadmapping

2. Enterprise SaaS Product Management

3. AI-first Product Thinking

4. Agile Product Development

5. Customer Discovery & Validation

6. Data-Driven Decision Making

7. Stakeholder Management

8. GTM Collaboration

KPI and Metrics

1. Product Adoption

2. Customer Engagement & Retention

3. Time-to-Market

4. Customer Satisfaction

5. Platform Performance

6. Revenue Influence

7. Product Usage Growth

8. Customer Success Outcomes

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field
• MBA preferred
• Product or Agile certifications are a plus

What We Offer

• Competitive compensation and incentives
• Opportunity to build AI-first products
• Exposure to global enterprise customers
• Career growth and leadership opportunities
• Collaborative and innovative culture

How to Apply

Interested candidates are invited to submit their resume and a cover letter outlining their qualifications and vision for the role plus previous experience align with key attributes, responsibilities, clear wins or learnings.   

Why Milestone

• AI-first Digital Experience Platform
• SEO/GEO-native CMS leadership
• Founder-led innovation culture

Brew8 builds and publishes subscription iOS apps — 55+ shipped across fitness, AI photo tools, utilities, and games. We find categories where existing apps are weak, build better ones fast, and grow them through ASO and paid ads.

The role

You run our product pipeline. Every app starts as research and ends as a shipped, tested app. You're not a designer, developer, or product visionary. You're the person who makes sure the right work gets done, fully, on time, to spec.

What you'll do

Research: The apps that we should build next (based on our internal way, you're always free to try your own ways as well)

Briefs: Turn an approved candidate into a complete App Brief using our template and Claude — positioning, onboarding flow, paywall, content schema, feature list. Fill every gap before handoff.

Content: Generate structured content (workout plans, program schedules, prompt libraries) from our asset library using Claude, then verify every row against the actual assets.

Handoff & follow-up: Hand briefs to design and iOS, check progress mid-week, catch wrong directions early, escalate blockers the same day.

QA: Run the brief's QA checklist on every build on real devices. Log every miss. Nothing ships without your pass.

ASO: Own keywords, metadata, and screenshot angles for every app we ship.

Reporting: One-page weekly status for the CEO — shipped, blocked, next.

What we're looking for

• 1–3 years in any role where you owned a process end-to-end — ops, QA, project coordination, content ops, or early-stage startup generalist
• You use ChatGPT/Claude daily for real work and can describe a workflow you built with it
• Have good knowledge about Codex/Claude Code and other AI LLMs and models, should be great with using AI to make things faster and better.
• Extremely detail-oriented — you notice the missing field, the wrong option order, the broken button
• Comfortable with spreadsheets, JSON/CSV, and app analytics
• You use iPhone apps critically and can explain why one onboarding converts and another doesn't
• Written English clear enough to write a spec a developer builds from without asking questions
• Reliable: shows up, communicates leave early, follows through

Nice to have

• ASO experience (keyword research, metadata, screenshot testing)
• Figma, TestFlight, Claude Code, Codex, ChatGPT, etc.
• Creative expertise and a problem solving attitude.
• Prior work at a consumer app studio or D2C brand

Success at 90 days

• CEO picks from your weekly scored candidates without redoing the research
• Your briefs go to design and dev without the CEO rewriting them
• A content plan that used to take two weeks takes you two days
• Zero shipped apps with a missed item that was on the QA checklist

Location : Remote (India)

Roles & Responsibilities

Product Strategy & Discovery

• Identify customer, business, and market opportunities through stakeholder engagement, customer research, discovery workshops, and data analysis.
• Define product vision, roadmap, value proposition, success metrics, and prioritization aligned with business objectives.
• Translate business and customer needs into product requirements, user stories, PRDs, and acceptance criteria.
• Own and continuously prioritize the product backlog based on business value, feasibility, dependencies, risks, and strategic priorities.

AI & Digital Innovation

• Identify and evaluate opportunities to leverage Generative AI, automation, and emerging technologies across products and business processes.
• Define AI-focused use cases, business cases, success metrics, user journeys, and MVP/PoC strategies.
• Collaborate with AI/ML, data, architecture, and engineering teams to convert AI opportunities into scalable product solutions.
• Drive adoption of AI across the product lifecycle and SDLC, including discovery, requirements management, development, testing, analytics, documentation, and support.
• Contribute to enterprise-wide AI initiatives and help scale successful AI PoCs into production-ready solutions.

Presales, Consulting & Solutioning

• Lead or contribute to RFP responses, proposals, client discovery sessions, workshops, and solution presentations.
• Understand client challenges and translate them into digital transformation, modernization, and AI-driven product opportunities.
• Develop solution concepts, use cases, product capabilities, roadmaps, value propositions, and implementation strategies.
• Partner with engineering, UX, architecture, delivery, and commercial teams to define scope, estimates, assumptions, dependencies, risks, and solution feasibility.
• Support client engagements and identify opportunities for account growth through product enhancements, modernization initiatives, and AI adoption.

Product Delivery & Governance

• Partner with UX, engineering, QA, architecture, and delivery teams to ensure successful product execution and delivery.
• Facilitate sprint planning, backlog refinement, UAT/SIT activities, release planning, production validation, and defect prioritization.
• Monitor product KPIs, delivery metrics, adoption, business outcomes, risks, and dependencies.
• Drive stakeholder alignment and continuous improvement throughout the product lifecycle.
• Mentor and guide Product Managers and product team members to strengthen product thinking, decision-making, stakeholder management, and delivery excellence.

Customer & Business Outcomes

• Leverage customer feedback, product analytics, experimentation, and market insights to drive continuous product improvement.
• Lead adoption and successful rollout of new capabilities through effective stakeholder engagement, communication, and change management.
• Ensure products and solutions deliver measurable customer, business, and operational outcomes.

Core Competencies

• Product strategy, discovery, roadmap planning, prioritization, and backlog management.
• Generative AI, AI product thinking, AI use-case identification, and digital innovation.
• Presales, consulting, solutioning, RFP response management, and client engagement.
• Strong business acumen with the ability to connect technology initiatives to business outcomes.
• Excellent communication, presentation, facilitation, and stakeholder management skills.
• Strong understanding of Agile/Scrum methodologies and end-to-end product delivery.
• Ability to collaborate effectively with engineering, architecture, UX, QA, data, and AI/ML teams.
• Strong analytical, problem-solving, and decision-making capabilities.
• Ability to manage ambiguity, multiple workstreams, and senior client stakeholders.

Qualifications

• B.E./B.Tech in Computer Science, Information Technology, Engineering, or an equivalent discipline.
• MBA or certifications in Product Management, Business Analysis, or related fields preferred.
• 10+ years of experience in Product Management, Product Ownership, or Business Analysis.
• Experience working in Agile/Scrum environments with cross-functional technology teams.
• CSPO, PSPO, CBAP, or CCBA certifications are desirable.

Roles & Responsibilities

Product Strategy & Discovery

• Identify customer, business, and market opportunities through stakeholder engagement, customer research, discovery workshops, and data analysis.
• Define product vision, roadmap, value proposition, success metrics, and prioritization aligned with business objectives.
• Translate business and customer needs into product requirements, user stories, PRDs, and acceptance criteria.
• Own and continuously prioritize the product backlog based on business value, feasibility, dependencies, risks, and strategic priorities.

AI & Digital Innovation

• Identify and evaluate opportunities to leverage Generative AI, automation, and emerging technologies across products and business processes.
• Define AI-focused use cases, business cases, success metrics, user journeys, and MVP/PoC strategies.
• Collaborate with AI/ML, data, architecture, and engineering teams to convert AI opportunities into scalable product solutions.
• Drive adoption of AI across the product lifecycle and SDLC, including discovery, requirements management, development, testing, analytics, documentation, and support.
• Contribute to enterprise-wide AI initiatives and help scale successful AI PoCs into production-ready solutions.

Presales, Consulting & Solutioning

• Lead or contribute to RFP responses, proposals, client discovery sessions, workshops, and solution presentations.
• Understand client challenges and translate them into digital transformation, modernization, and AI-driven product opportunities.
• Develop solution concepts, use cases, product capabilities, roadmaps, value propositions, and implementation strategies.
• Partner with engineering, UX, architecture, delivery, and commercial teams to define scope, estimates, assumptions, dependencies, risks, and solution feasibility.
• Support client engagements and identify opportunities for account growth through product enhancements, modernization initiatives, and AI adoption.

Product Delivery & Governance

• Partner with UX, engineering, QA, architecture, and delivery teams to ensure successful product execution and delivery.
• Facilitate sprint planning, backlog refinement, UAT/SIT activities, release planning, production validation, and defect prioritization.
• Monitor product KPIs, delivery metrics, adoption, business outcomes, risks, and dependencies.
• Drive stakeholder alignment and continuous improvement throughout the product lifecycle.
• Mentor and guide Product Managers and product team members to strengthen product thinking, decision-making, stakeholder management, and delivery excellence.

Customer & Business Outcomes

• Leverage customer feedback, product analytics, experimentation, and market insights to drive continuous product improvement.
• Lead adoption and successful rollout of new capabilities through effective stakeholder engagement, communication, and change management.
• Ensure products and solutions deliver measurable customer, business, and operational outcomes.

Core Competencies

• Product strategy, discovery, roadmap planning, prioritization, and backlog management.
• Generative AI, AI product thinking, AI use-case identification, and digital innovation.
• Presales, consulting, solutioning, RFP response management, and client engagement.
• Strong business acumen with the ability to connect technology initiatives to business outcomes.
• Excellent communication, presentation, facilitation, and stakeholder management skills.
• Strong understanding of Agile/Scrum methodologies and end-to-end product delivery.
• Ability to collaborate effectively with engineering, architecture, UX, QA, data, and AI/ML teams.
• Strong analytical, problem-solving, and decision-making capabilities.
• Ability to manage ambiguity, multiple workstreams, and senior client stakeholders.

Qualifications

• B.E./B.Tech in Computer Science, Information Technology, Engineering, or an equivalent discipline.
• MBA or certifications in Product Management, Business Analysis, or related fields preferred.
• 10+ years of experience in Product Management, Product Ownership, or Business Analysis.
• Experience working in Agile/Scrum environments with cross-functional technology teams.
• CSPO, PSPO, CBAP, or CCBA certifications are desirable.

Location - India (Remote)

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 7+ years of product management experience, with the most recent 3 years spent owning a consumer-facing product surface (app, web funnel, onboarding, checkout, or equivalent B2C surface

3

Mandatory(Experience 2)- Must have a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

4

Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

5

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

6

Mandatory(Product Writing & Agile Delivery) - Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools

7

Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)

8

Mandatory (City) - Pune Based Candidates Only

• Supervise blow moulding shift operations and manpower

• Ensure daily production targets and schedule adherence

• Monitor machine efficiency, cycle time and downtime

• Ensure quality checks and defect containment at source

• Coordinate with Maintenance for breakdown resolution

• Maintain shift production, scrap and downtime reports

• Ensure safety and 5S compliance

Job Description – Production Engineer (Injection Molding)

Position: Production Engineer – Injection Molding

Location: Umbergaon, Gujarat

Shift: Day Shift

Job Summary

Responsible for managing shift-level production operations, manpower, machine utilization, and coordinating with support functions to achieve daily production targets while maintaining quality standards.

Key Responsibilities

• Manage day-shift injection molding production operations.
• Achieve daily and weekly production targets as per production plans.
• Optimize manpower allocation across production lines.
• Monitor machine utilization and minimize downtime.
• Ensure adherence to in-process quality standards.
• Coordinate with Maintenance and Quality teams for smooth production operations.
• Monitor production efficiency, cycle time, and machine performance.
• Maintain shift-wise production and handover reports.
• Ensure proper shop-floor discipline, safety, and 5S compliance.

Preferred Experience

• Hands-on experience in Injection Molding production operations.
• Good understanding of production planning, manpower management, machine utilization, and quality control.
• Ability to coordinate effectively with Maintenance and Quality teams.

Product Management Associate – Hyderabad, India

About i95Dev

i95Dev is an eCommerce and ERP integration company serving 400+ clients globally. We connect platforms like Shopify, Adobe Commerce, and BigCommerce with ERP systems including NetSuite, Microsoft Dynamics, and SAP. As we scale our AI-driven integration products, we're building modern technology solutions that simplify complex eCommerce and ERP integration challenges.

Position Overview

We are looking for a Product Management Associate to support our product team in researching customer needs, analyzing market trends, documenting product requirements, and supporting the development and improvement of technology products.

This is an entry-level opportunity for fresh graduates interested in product management, technology, business analysis, and customer-centric problem solving.

You will work closely with product, engineering, marketing, sales, and other business teams to understand problems, identify opportunities, and support product initiatives from idea to execution.

Key Responsibilities

• Conduct market and competitor research to understand industry trends and product opportunities
• Research customer needs, pain points, and use cases
• Assist in gathering and documenting product requirements
• Support the preparation of product requirement documents, user stories, feature specifications, and process documentation
• Work with product managers and engineering teams to track product features and enhancements
• Assist in maintaining product roadmaps, feature trackers, and product documentation
• Analyze customer and product feedback to identify improvement opportunities
• Support product testing and validation of new features before release
• Coordinate with cross-functional teams to ensure requirements and product updates are clearly communicated
• Assist in preparing product presentations, demos, and internal product documentation
• Track product-related metrics and prepare reports to support decision-making
• Research emerging technologies, AI capabilities, and industry developments relevant to the company's products
• Support other product management initiatives based on business requirements

Requirements

• MBA/PGDM, Bachelor's degree in Business Administration, Technology, Engineering, or a related field
• Fresh graduates are encouraged to apply
• Strong interest in product management, technology, SaaS, eCommerce, or business analysis
• Good analytical and problem-solving skills
• Ability to understand business problems and translate them into structured requirements
• Strong written and verbal communication skills in English
• Good knowledge of MS Excel/Google Sheets and presentation tools
• Comfortable learning new technology and product management tools
• Basic understanding of software products or technology concepts is an advantage

Soft Skills & Qualities

• Strong analytical and logical thinking
• Curious about technology and how products are built
• Customer-focused mindset
• Good attention to detail
• Strong communication and documentation skills
• Comfortable asking questions and challenging assumptions
• Ability to work with multiple teams
• Self-motivated and willing to learn
• Comfortable working in a fast-paced and evolving environment

Project Examples

You might work on initiatives such as:

• Conducting competitor research for an eCommerce integration product
• Analyzing customer feedback and identifying product improvement opportunities
• Supporting the creation of product requirement documents
• Preparing feature comparison and market analysis reports
• Assisting with testing and validation of new product features
• Researching potential applications of AI in eCommerce and ERP integration
• Supporting product documentation and internal product enablement

Work Environment

• Opportunity to work with global teams across US, Europe, and Australia
• Exposure to real-world B2B technology and SaaS products
• Hands-on experience working with product, engineering, sales, and marketing teams
• Potential for career growth based on performance

i95Dev encourages applications from candidates of diverse backgrounds who are curious about technology, passionate about solving business problems, and interested in building a career in product management.

We are looking for a detail-oriented and analytical E-commerce Product Catalog & Research Analyst to manage the integrity, accuracy, and quality of product data across various e-commerce platforms and internal CMS tools. The ideal candidate will play a key role in maintaining high standards for catalog content, optimizing product listings for SEO, and supporting the digital merchandising strategy through continuous research and analysis.

Key Responsibilities:

• Oversee product catalog data integrity across e-commerce platforms and internal content management systems (CMS).
• Review and enhance product titles, descriptions, images, metadata, and categorization to ensure alignment with SEO best practices and platform-specific requirements (Amazon, Flipkart, Shopify, etc.).
• Conduct regular audits of product listings to ensure design, content, and merchandising accuracy.
• Identify and correct listing errors, inconsistencies, or mismatches across platforms.
• Collaborate with cross-functional teams including marketing, content, and design to ensure high-quality product representation.
• Stay updated on platform policies, competitor listings, and category trends to inform catalog improvements.
• Research and analyze catalog performance metrics to support decision-making and optimization strategies.
• Assist in building and maintaining product taxonomies and attribute structures for new and existing SKUs.

Qualifications:

• Bachelor’s degree in Business, Marketing, E-commerce, or a related field.
• 5-7 years of experience in product catalog management, e-commerce operations, or a similar analytical/content role.
• Familiarity with e-commerce platforms (Amazon Seller Central, Flipkart Seller Hub, Shopify, Magento etc.) and CMS tools.
• Strong attention to detail, organizational skills, and ability to handle large volumes of product data.
• Good understanding of SEO, product taxonomy, and digital merchandising best practices.
• Proficiency in Excel/Google Sheets and basic data analysis.
• Excellent written and verbal communication skills.

Preferred Skills:

• Experience working with PIM systems or catalog automation tools.
• Exposure to analytics tools (Google Analytics, Data Studio) for tracking product performance.

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 7+ years of product management experience, with the most recent 3 years spent owning a consumer-facing product surface (app, web funnel, onboarding, checkout, or equivalent B2C surface

3

Mandatory(Experience 2)- Must have a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

4

Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

5

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

6

Mandatory(Product Writing & Agile Delivery) - Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools

7

Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)

8

Mandatory (City) - Pune Based Candidates Only

9

Mandatory ( Note ) - The 1st round will be in person, so we need candidates who are available to attend the interview physically.

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 7+ years of product management experience, with the most recent 3 years spent owning a consumer-facing product surface (app, web funnel, onboarding, checkout, or equivalent B2C surface

3

Mandatory(Experience 2)- Must have a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

4

Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

5

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

6

Mandatory(Product Writing & Agile Delivery) - Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools

7

Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)

8

Mandatory (City) - Pune Based Candidates Only

9

Mandatory ( Note ) - The 1st round will be in person, so we need candidates who are available to attend the interview physically.

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 7+ years of product management experience, with the most recent 3 years spent owning a consumer-facing product surface (app, web funnel, onboarding, checkout, or equivalent B2C surface

3

Mandatory(Experience 2)- Must have a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

4

Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

5

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

6

Mandatory(Product Writing & Agile Delivery) - Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools

7

Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)

8

Mandatory (Age) - Candidate's age should be below 32 years

9

Mandatory (City) - Pune Based Candidates Only

10

Mandatory ( Note ) - The 1st round will be in person, so we need candidates who are available to attend the interview physically

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 7+ years of product management experience, with the most recent 3 years spent owning a consumer-facing product surface (app, web funnel, onboarding, checkout, or equivalent B2C surface

3

Mandatory(Experience 2)- Must have a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

4

Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

5

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

6

Mandatory(Product Writing & Agile Delivery) - Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools

7

Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)

8

Mandatory (Age) - Candidate's age should be below 32 years

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 7+ years of product management experience, with the most recent 3 years spent owning a consumer-facing product surface (app, web funnel, onboarding, checkout, or equivalent B2C surface

3

Mandatory(Experience 2)- Must have a metric-backed track record improving numbers — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene

4

Mandatory(Experience 3)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice

5

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, design teams and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders

6

Mandatory(Product Writing & Agile Delivery) - Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools

7

Mandatory(Company) - Must be from Top B2C product company (FinTech , InsuranceTech is the priority)

8

Mandatory (Age) - Candidate's age should be below 32 years

Job Summary 

Project Manager is responsible for planning, executing, monitoring, and successfully delivering technology projects within agreed scope, timeline, budget, and quality standards. The role requires close coordination with business stakeholders, technical teams and senior management to ensure projects achieve their intended business outcomes. 

Key Responsibilities 

• Define project scope, objectives, deliverables, timelines, and success criteria.  
• Develop and maintain detailed project plans, schedules, budgets, and resource requirements.  
• Lead cross-functional teams including developers, infrastructure, QA, and business analysts.  
• Coordinate release planning, sprint goals, release timelines, dependencies, and deployment activities. 
• Manage project scope, risks, issues, dependencies, and change requests.  
• Track project progress and provide regular status reports to stakeholders and management.  
• Identify potential risks and implement appropriate mitigation and contingency plans.  
• Coordinate requirements gathering and ensure alignment between business and technical teams.  
• Facilitate project meetings, reviews and steering committee meetings.  
• Ensure projects follow organizational IT governance, security, compliance, and quality standards.  
• Coordinate testing, deployment, implementation, and transition to operational teams.  
• Manage stakeholder expectations and resolve conflicts or escalated issues.  
• Manage testing, deployment, documentation, and project closure.  
• Conduct project closure activities and evaluate project performance and outcomes.  

Required Qualifications 

• Minimum 8 years of experience in IT project management or a related technology role.  
• Proven experience managing end-to-end IT projects.  
• Strong understanding of project management methodologies such as Agile, Scrum, Waterfall, or hybrid methodologies.  
• Experience with project management tools such as Jira, Azure DevOps, Microsoft Project, Smartsheet, or similar platforms.  
• Strong knowledge of software development lifecycle (SDLC), IT infrastructure, cloud technologies, or enterprise applications, depending on the project portfolio.  
• Strong communication, leadership, organizational, and problem-solving skills.  

Key Skills 

• Project planning and execution  
• Stakeholder management  
• Risk and issue management  
• Budget and resource management  
• Agile/Scrum methodology  
• Change management  
• Team leadership  
• Negotiation and conflict resolution  
• Reporting and documentation  
• Strategic thinking and problem solving 

Require Experience : Minimum 8 years

Location : Indore -Onsite

Interview mode : Virtual

Strong AI Product Owner / Product Manager Profile with ML/AI product experience

2

Mandatory (Experience 1): Must have 7+ years of product management / product ownership experience, including shipping software products end-to-end.

3

Mandatory (Experience 2): Must have AI/ML product experience — managing products built on machine learning, data, or LLM/GenAI capabilities.

4

Mandatory (Experience 3): Must have owned product vision, strategy, and roadmap, translating customer and business needs into clear user stories, acceptance criteria, and a well-groomed backlog

5

Mandatory (Experience 4): Must have owned Agile/Scrum delivery end-to-end — sprint planning, backlog grooming, and stand-ups

6

Mandatory (Skill 1): Must have a strong command of Scrum/Agile, backlog management, and prioritisation frameworks

7

Mandatory (Skill 2): Must have data fluency — comfortable defining metrics, reading analytics, and reasoning about model behaviour and limitations

8

Mandatory (Skill 3): Must have a discovery mindset — user research, problem framing, competitive analysis, and turning ambiguity into a clear plan

9

Mandatory (Skill 4): Must be hands-on with JIRA, Confluence, and product/roadmapping tools

10

Mandatory (Communication): Must have excellent stakeholder management — able to align business, engineering, and clients, and communicate roadmap, trade-offs, and progress to leadership.

11

Preferred (Domain): Insurance or fintech domain exposure

12

Preferred (Tech): Understanding of APIs and cloud (AWS

13

Preferred (Certification): CSPO / PSPO or similar.

Skill: The Expertise Required

Must-Haves for this Role

5-8 years of Product Management experience in health-tech, wellness, or science-backed products.

Strong consumer product experience with a proven track record of solving user problems.

Ability to simplify complex scientific/clinical logic into clear, intuitive, and actionable user experiences.

Top-tier college mandatory.

Run delivery for 15–25 backend, frontend, and AI engineers building construction- tech and CAD drawing-automation software — with structural engineers on one side of you and the codebase on the other. Must have Hands-on familiarity with AutoCAD, Revit or experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space

Role overview-

We are hiring one Technical Product Manager to own delivery across our engineering teams in Bengaluru. You will run 15–25 engineers across backend, frontend, and AI workstreams, and you will be the person who turns requirements originating with our structural and detailing engineers into scoped, sequenced, shipped software.

This is a technical role. You will not be handed a groomed backlog and asked to move cards across it. You will sit in the design discussion and have a view on how and when — you will push back on an approach that will not scale, ask why a trade-off was made, and know the

difference between a two-day change and a two-sprint one. You are not expected to write production code. You are expected to read it, understand the system, and never be the least- informed person in a technical conversation you are chairing

What you’ll own- Delivery ownership

• Own the end-to-end delivery plan for every active workstream — scope, sequence,dependencies, capacity, and dates that actually hold.
• Break large, ambiguous product intent into engineering-sized increments with explicit acceptance criteria, agreed with the people who will build them.
• Run the operating cadence: planning, standups, refinement, demos, and retrospectives that change something the following week.
• Maintain one honest view of status — on track, at risk, slipped, and why — visible to the founders and to the team at the same time.
• Manage cross-team dependencies between backend, frontend, AI, and drawing-automation workstreams so no team idles waiting on another.
• Surface risk early, quantify it, and arrive with options — never an escalation without a proposal.
• Protect the team from thrash: absorb changing priorities, re-plan properly, and say no or not now when a plan cannot take more.
• Drive releases to genuinely done — QA, UAT with domain experts, documentation, and post- release verification included.
• Own and improve the delivery metrics that matter: cycle time, predictability of committed scope, defect escape rate, and rework.
• Run the release calendar across two products so neither becomes the permanent second priority.

The floor & the team.

Our requirements do not come from a product spec written in a vacuum. They come from structural and detailing engineers sitting on the floor with decades of practice behind them. Converting that into software is the defining skill of this job.

• Partner with structural and detailing engineers to turn drawing standards, project practice, and domain expectation into unambiguous, implementable requirements
• Run requirement sessions whose output is a written spec — sample data, expected output,edge cases, and explicit non-goals — not a shared verbal understanding.
• Arbitrate the constant gap between “how it has always been done on site” and “what can be deterministically automated.”
• Set up validation loops so domain experts review generated output early and repeatedly, rather than at the end of a sprint.
• Maintain a decision log for domain rules so the same question is not re-litigated three sprints later by different people.
• Manage internal stakeholder expectations and, where relevant, commitments made to customers.
• Spot when a “small clarification” is actually a scope change, and handle it as one.
• Make sure engineers get access to the domain expert directly — your job is to structure that contact, not to become a relay in the middle of it.

Challenges you’ll solve.

We prefer to be candid. These are the problems that make this role genuinely difficult — and genuinely interesting.

Domain knowledge that arrives as tribal knowledge

Our structural and detailing engineers know what a correct drawing looks like, but much of that knowledge is tacit. Your job is to extract it into deterministic, testable rules before an engineer starts building. Getting this wrong is the single most expensive failure mode we have

— it produces work that looks finished and is not.

Three disciplines, one release

Backend (AWS serverless), frontend (Angular / React), and AI engineers ship into the same

product. They have different failure modes, different testing regimes, and different natural cadences. Sequencing them so nobody idles and nothing integrates late is the core scheduling problem here.

Correctness is not negotiable

This is construction software. A wrong drawing, a wrong quantity, a wrong permission, or a wrong payroll figure has consequences outside the screen. “Ship it and iterate” has limits here, and you will need judgement about exactly where those limits sit for each workstream.

AI workstreams do not estimate like CRUD

Drawing generation and extraction work is research-shaped: some weeks produce a breakthrough, some produce a negative result. You will plan around that uncertainty honestly— with timeboxes, decision points, and fallbacks — instead of pretending an unknown is a two-

week ticket.

Live customers, finite engineers

Companies run their operations on this platform daily. Production incidents, customer escalations, and enterprise integrations (Asite, Autodesk Construction Cloud) compete with roadmap work for exactly the same people. You will make that trade-off explicitly, every week,

and be able to defend it.

Two products, one organisation

The operations platform and the drawing-automation platform have different customers, different rhythms, and partly shared people. Keeping both moving — without either becoming the perpetual second priority — is a standing constraint on every plan you make.

Founder-adjacent, fast-changing priorities

Direction can change on new customer information, and sometimes it should. You are the shock absorber: re-plan quickly, communicate the change clearly and once, and make sure the team experiences it as a decision rather than as chaos.

Qualifications.

• 6–7 years minimum in software delivery, including at least 4 years directly managing engineering teams as a project, delivery, or engineering program manager.
• Proven experience running teams of 10+ engineers across more than one discipline —backend, frontend, mobile, data, or AI.
• Fluency in modern delivery practice — Agile / Scrum or Kanban applied with judgement rather than ceremony — plus genuine facility with Jira or Linear, Git workflows, CI/CD, and release management.

Strongly preferred

• Experience at a product company in the CAD / AutoCAD / BIM / PLM / EDA /simulation space — Autodesk, Bentley, Dassault, Siemens, PTC, Trimble, Hexagon, Ansys or similar.
• Exposure to AEC, construction tech, manufacturing, or industrial software where domain correctness matters more than interface polish.
• Experience managing teams that included AI / ML engineers alongside conventional product engineers.
• Hands-on familiarity with AutoCAD, Revit, Civil 3D, Tekla, or DXF / drawing-export workflows.

The bar, the process, the offer.

The manager we’re looking for

Technical enough to be trusted

Engineers respect the questions you ask, not just the dates you set.

Owns outcomes, not activity

Measures the job by what shipped and worked, not by how busy the board looked.

Direct and specific

Says the uncomfortable thing early, in plain language, to the person who needs to hear it.

Reduces chaos

Leaves every process, plan, and handoff simpler than they found it.

Holds opinions loosely

Strong views on how to run delivery, updated when the evidence changes.

Raises the standard around them

The team becomes more predictable and more capable because you are in it.

Strong Product Development Profile from established Beauty / Personal Care / Skincare / Cosmetics brands

2

Mandatory (Experience 1): Must have 4+ years of total experience in product development, with at least 2+ years in the beauty / personal care / skincare / cosmetics industry (brand or manufacturing unit).

3

Mandatory (Experience 2): Must have end-to-end experience across product ideation, formulation, development, testing, vendor coordination, commercialisation, and launch.

4

Mandatory (Experience 3): Must have experience collaborating with formulation partners and third-party manufacturers to develop, test, and refine product samples.

5

Mandatory (Experience 4): Must have experience leading product trials, testing cycles, and quality enhancements, while managing timelines, costing, and production readiness.

6

Mandatory (Skill 1): Must have a strong understanding of product lifecycle, formulations, manufacturing processes, and beauty & personal care trends, consumer insights, ingredients, and innovations.

7

Mandatory (Skill 2): Must have experience with packaging development — evaluating materials, aesthetics, and cost efficiency, and working with packaging vendors through sampling and finalization.

8

Mandatory (Skill 3): Must have strong stakeholder management and cross-functional collaboration skills, working closely with sourcing, marketing, design, regulatory, and manufacturing teams.

9

Mandatory (Skill 4): Must have strong project management skills with the ability to manage multiple product launches simultaneously.

10

Mandatory (Industry): Must come from an established beauty, personal care, skincare, or cosmetics brand, a beauty manufacturing unit, or have experience working with third-party manufacturers and vendors in the beauty/personal care space.

11

Mandatory (Compliance): Must have experience ensuring regulatory, safety, and quality compliance, and maintaining product documentation, specifications, and certifications.

12

Preferred (Seniority): Senior-level / strong Team Lead profiles preferred.

13

Preferred (Education): Degree in Cosmetic Science, Chemistry, Pharmacy, Biotechnology, or a related field.

14

Preferred (Category): Understanding of skincare, haircare, or personal care categories, ingredient trends, regulatory standards, and product testing processes.

Example:

We are looking for an experienced Data Architect to design, develop, and manage the organization's enterprise data architecture. The candidate will be responsible for building scalable data platforms, ensuring data quality and governance, and supporting business analytics through modern data solutions.

Experience Required

Mention the minimum years of experience.

Example:

• Minimum 12 years of experience in Data Architecture, Data Engineering, or related fields.
• 5+ years of experience in the Banking/Financial Services domain is preferred.

Educational Qualification

Mention the required degree.

Example:

• BE/BTech in Computer Science, Information Technology, Software Engineering, Electronics & Communication Engineering, or equivalent.
• OR MCA/MTech/MSc in Computer Science, IT, or related disciplines.
• MBA is preferred.

Technical Skills

List the skills the candidate must have.

Example:

• AWS, Azure, or GCP
• Data Warehousing (DWH)
• ETL/ELT
• Database Management
• Data Modeling
• Data Analytics
• Data Lakes
• Data Governance

Key Responsibilities

Convert the points you received into simple action statements.

Example:

• Design and maintain enterprise data architecture.
• Develop data warehouses and data lakes.
• Define data standards and governance policies.
• Ensure data quality and security.
• Design ETL/ELT processes.
• Integrate data from multiple systems.
• Plan and execute data migration projects.
• Review existing data architecture and recommend improvements.
• Provide technical guidance to project teams.
• Evaluate new data technologies and tools.

Preferred Skills

These are not mandatory but are an advantage.

Example:

• Banking domain experience
• Strong analytical and problem-solving skills
• Good communication skills
• Leadership and stakeholder management
• Experience mentoring technical teams

Implementation Engineer – Digital Evaluation System

Industry: EdTech / Higher Education

Experience: 8–12 Years

Location: Remote / Client Location (Travel as required)

Job Summary

We are looking for an Implementation Engineer to support the deployment and successful implementation of our Digital Evaluation System across universities and colleges. The role involves client coordination, system configuration, troubleshooting, training, and ensuring smooth implementation.

Key Responsibilities

• Implement and configure the Digital Evaluation System for universities and colleges.
• Coordinate with clients to understand their requirements and ensure successful deployment.
• Support system integration, configuration, testing, and troubleshooting.
• Conduct product demonstrations and training sessions for clients and users.
• Monitor implementation progress and resolve technical issues within timelines.
• Coordinate with internal Product, Development, and Support teams for issue resolution.
• Prepare implementation documentation, reports, and user guides.
• Travel to client locations for implementation, training, and support whenever required.

Requirements

• 8–12 years of experience in Software Implementation / ERP Implementation / Technical Support / EdTech.
• Experience working with universities, colleges, or educational institutions will be preferred.
• Good understanding of software implementation and troubleshooting.
• Basic knowledge of databases/SQL and APIs will be an advantage.
• Strong communication, coordination, and client-handling skills.
• Willingness to travel as per business requirements.

Compensation

Salary will be discussed based on your previous/current salary, experience, and interview performance.

Preferred Candidates

Candidates with experience in Education ERP, Digital Evaluation/Assessment Systems, Examination Management Systems, or EdTech products will be preferred.

Strong Senior Product Manager — Vertical Products (Fintech, Growth & Conversion) Profile

2

Mandatory(Experience 1)- Must have 6+ years of product management experience, with the most recent 3 years spent owning a consumer-facing product surface (app, web funnel, onboarding, checkout, or equivalent B2C surface).

3

Mandatory(Experience 2) - Must have consumer-facing product ownership as the centre of gravity. Backend, API, infra, or internal-tools PMs with no recent consumer-facing surface will not be considered. Backend exposure alongside real consumer-funnel work is fine; a backend centre not.

4

Mandatory(Experience 3)- Must have a metric-backed track record improving conversion, revenue yield, engagement, or lead quality in a consumer funnel — owned numbers, a steady experimentation cadence (A/B tests, rollouts, readouts), and comfort with analytics: funnels, cohorts, drivers, causal reasoning, measurement hygiene.

5

Mandatory(Experience 4)- Must be fluent with AI — active, habitual use of AI tools (ChatGPT, Claude, Gemini, Perplexity, or equivalent) in daily product practice.

6

Mandatory(Stakeholder Mgmt)- Must be able to act as the primary link between business leaders, tech teams, and external partners — communicating roadmap, priorities, trade-offs, and performance readouts to senior stakeholders, and working with distributed teams across time zones (Australia, India, Philippines).

7

Mandatory(Product Writing & Agile Delivery)- Must have strong product writing — problem briefs, PRD-lite/user stories, experiment plans, decision logs — and deep working command of Agile frameworks and tools.

8

Mandatory(Company) - Must be from B2C product company. FinTech is the priority . A non-fintech candidate qualifies only if currently or recently at a Series B plus company.

9

Preferred(Skill)- Exposure to LangChain, RAG, or prompt engineering in a product context; experience working directly with data science/ML teams on model-backed features; prior AI features in transactional or financial-services consumer UX.

Senior Product Manager – Growth & Consumer Products (FinTech Preferred)

We're looking for a Senior Product Manager with 6+ years of product management experience, including the last 3+ years owning consumer-facing B2C products (app, onboarding, checkout, growth, or conversion funnels).

Must Have:

- Consumer product ownership (not backend/infrastructure-focused)

- Strong track record of improving conversion, engagement, revenue, or retention through A/B testing and data-driven experimentation

- Experience with analytics, funnels, cohorts, and product metrics

- Active use of AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) in product work

- Strong stakeholder management across business, engineering, and design teams

- Experience writing PRDs, user stories, and working in Agile environments

- Current or recent experience in a B2C product company (FinTech preferred; otherwise Series B+ startup)

Good to Have:

- Experience with AI/ML products, prompt engineering, LangChain, or RAG.

Role Description: As a Senior Back-End Developer at Ease Commerce, you will design, build, and maintain scalable server-side applications that power our CRM platform. This full-time, on-site role based in Indore involves architecting APIs, optimizing database structures, and ensuring secure, high-performance integrations with front-end interfaces and third-party services. You will review code, mentor developers, and collaborate closely with product, QA, and front-end teams to deliver robust features and enhancements. Day-to-day responsibilities include writing clean, efficient code, troubleshooting production issues, improving system reliability, and contributing to technical decision-making and best practices.

Qualifications

• Develop and maintain backend services and APIs primarily using Node.js.
• Contribute to building scalable and efficient applications.
• Work with frontend teams where required to support full stack development needs.
• Code Quality & Collaboration
• Write clean, maintainable, and well-structured code following best practices.
• Participate in code reviews and collaborate with team members to improve code quality.
• Work closely with cross-functional teams to deliver features on time.
• Problem Solving & Debugging
• Troubleshoot and debug application issues.
• Optimize performance and improve reliability of backend systems.
• Security & Best Practices
• Implement authentication and authorization mechanisms to ensure secure access to applications.
• Follow security and development best practices across services.

Required Qualifications

• 7+ years of experience in Node.js development.
• Experience with any one of the Node.js frameworks: Fastify, Express, or NestJS.
• Experience with SQL and NoSQL databases.
• Familiarity with authentication and authorization mechanisms.
• Good problem-solving and debugging skills.
• Ability to work effectively in a collaborative team environment.
• Background in designing scalable architectures for SaaS or CRM products is highly beneficial.
• Ability to work on-site in Indore, collaborate in cross-functional teams, and mentor junior developers.
• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.