Senior Product Manager (B2C Product )

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

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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).

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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.

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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.

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

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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).

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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.

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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.

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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.

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

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

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Mandatory (City) - Pune Based Candidates 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.

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)

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.

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!

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.
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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

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.