Senior Product Manager (Consumer Growth) Top b2c product company only

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.

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

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.
•  

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)

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.

AI Product Builder | Consumer Experiences

TL;DR: ₹1 lakh/month. HSR Layout, Bengaluru. Full-time, in-person preferred, with flexibility for an exceptional fit. Use AI to build and refine consumer experiences. No CV or prior experience required. Apply by email, then an unpaid 48-hour workout assignment.

I'm Vishnu, building Aira. AI is the biggest equaliser we have, but nobody has figured out the consumer use case yet. I think Aira will be the reason everyday people start using AI daily.

I don't believe chatting is the final interface for AI. So Aira is built around a hand-drawn character that feels alive, shapes what's on your screen, and brings voice, animation and music together. The goal is the best answer, delivered in the best way for your situation, with help acting on it.

Say you're deciding what to cook. Aira helps you pick a meal, shows the ingredients, arranges the purchase with your confirmation. While you cook, it keeps the recipe and your current step on screen, speaks short instructions, and waits while your hands are busy. The same screen won't work at the gym, in meditation or while fixing a tyre. The conversation, the actions and what you see and hear should feel like one experience that adapts to what you're doing.

I'm hiring people who would have wanted to work on the first iPhone. People who obsessed over the small details that made something unfamiliar feel natural, and cared about what a person felt the first time they used it.

We've built the foundation. Your job is to take an experience, decide how it should work, build it with AI, and keep agonising until it feels right. In practice: tuning prompts and behaviour files, building or changing screen components with AI, and testing what you've made.

You may not yet be able to explain why an interaction feels incomplete. I want you to follow that feeling and build a better version. That's why we don't ask for a CV, prior experience or a coding background. We need product thinking, creativity and ownership — you question what AI gives you, make it work, and keep improving it.

We're launching in San Francisco this month. You'll work directly with me and help shape what people experience the first time they meet Aira.

The process

You'll build a workout experience from a minimal starter. We give you a stepper, a timer and the component plumbing; you decide how it behaves and build the rest. Anyone can attempt it, before any screening. You have 48 hours after receiving it. It's unpaid, for evaluation only, and your work stays yours.

AI helps me review, but I pick the shortlist myself. Shortlisted candidates get a 30-minute conversation. I aim to reply within 24 hours of submission and finish within a week.

Title: Senior Product Manager

Location: Mumbai

Job Type: Full-Time, Work From Office

About Us

Traya is an Indian direct-to-consumer hair care brand platform that provides a holistic treatment for consumers dealing with hair loss. The Company provides personalized consultations that help determine the root cause of hair fall among individuals, along with a range of hair care products that are curated from a combination of Ayurveda, Allopathy, and Nutrition. Traya's secret lies in the power of diagnosis. Our unique platform diagnoses the patient’s hair & health history, to identify the root cause behind hair fall and delivers customized hair kits to them right at their doorstep. We have a strong adherence system in place via medically trained hair coaches and proprietary tech, where we guide the customer across their hair growth journey, and help them stay on track. Traya is founded by Saloni Anand, a techie turned-marketeer and Altaf Saiyed, a Stanford Business School alumnus.

Our Vision:

Traya was created with a global vision to create awareness around hair loss, de-stigmatise it while empathizing with the customers that it has an emotional and psychological impact.

Most importantly, to combine 3 different sciences (Ayurveda, Allopathy and Nutrition) to create the perfect holistic solution for hair loss patients.

The Founders:

Founded by Saloni Anand, a techie-turned-marketeer and Altaf Saiyed, a Stanford Business School alumnus.

About Product Team:

Our Product Team works closely with the Business and Engineering teams to ensure we develop the right technology solutions for customer experience, acquisition, and retention. If you're passionate about making a difference in people's lives through cutting-edge product strategies, this role is for you.

Traya web and app are at the heart of user acquisition and retention. These platforms enable the user to get their hair loss diagnosed, purchase the hair care kit, get hair coach support, access features that help them remain consistent with their routine, and achieve great hair. The product management team at Traya is seeking a highly motivated, data driven Product Manager to drive the consumer-facing web and app products.

A successful Product Manager must have exceptional user insights and research background, data skills, strong analytical abilities, relationship-building and communication skills across cross-functional teams, an ability to work under tight deadlines, a track record of delivering results, and be an independent self-starter.

Responsibilities:

●Acquisition/ Retention Strategy: Develop and execute a comprehensive retention/acquisition strategy for our mobile app, utilizing data-driven insights to identify opportunities for improvement.

●User Experience Enhancement: Collaborate with cross-functional teams, including UX/UI designers and developers, to enhance the overall user experience within the app, ensuring use in seamless navigation and engagement.

●Feature Development: Lead the ideation, planning, and execution of new features and functionalities within the app that contribute to improved user retention. Analytics and Insights: Utilize analytics tools and customer feedback to monitor user behaviour, identify pain points, and propose data-driven solutions to increase user engagement and retention.

● A/B Testing: Implement A/B testing methodologies to evaluate the performance of different features and strategies, optimizing for user retention metrics. Communication and Collaboration: Effectively communicate product initiatives and updates to cross-functional teams, ensuring alignment with overall company objectives.

●Competitor Analysis: Stay informed about industry trends, competitor activities, and emerging technologies to inform product decisions and maintain a competitive edge.

●KPI Monitoring: Establish key performance indicators (KPIs) related to user retention and regularly monitor, report, and analyse these metrics to track the success of implemented strategies.

Qualifications:

● Bachelor's degree in Computer Science, or a related field.

● Proven experience as a Product Manager with a focus on improving user retention in a consumer company.

● Strong analytical and problem-solving skills, with the ability to interpret data and trends.

● Experience with mobile app development and a solid understanding of user experience principles.

● Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

● Familiarity with A/B testing methodologies and a data-driven

decision-making approach.

● Proactive mindset with the ability to prioritize and manage multiple projects simultaneously.

● Knowledge of agile development methodologies is a plus.

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)

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.  

-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.