Senior Product Manager, Data Monetisation

Role: Senior Product Manager, Data Monetisation
About the role
Flipkart is hiring a Senior Product Manager to own product direction for a strategic, partner-facing data product within our data organization — part of Flipkart's broader data monetisation agenda.
This is a Senior IC role with significant scope: you will shape problem definition, roadmap, and delivery for a high-visibility initiative at the intersection of data platform, product experience, data monetisation, and external stakeholders. You will work closely with engineering, data science, analytics, design, legal/privacy, commercial, and GTM partners — and operate with a high degree of autonomy in ambiguous, fast-moving spaces.
What you'll do
Product strategy & ownership
Own end-to-end product outcomes: problem framing, prioritization, roadmap, and measurable launch/scale milestones
Translate complex data capabilities into clear, trusted product experiences for external partners
Define success metrics (adoption, retention, NPS, revenue, ARR/subscription proxies) and run a tight feedback loop with users and stakeholders
Data monetisation & commercialization
Shape product packaging, tiering, and entitlements that map customer value to monetisation outcomes
Partner with commercial, category, and GTM teams on pricing hypotheses, launch motions, and upsell paths
Translate marketplace data assets into defensible, sellable product propositions — without compromising trust, privacy, or governance
Track and optimize revenue, conversion, and retention alongside product health metrics
0-to-1 → scale
Drive MVP definition, phased rollout, and iteration from early pilots to broader adoption
Balance speed-to-market with data quality, governance, and trust — especially at marketplace scale
Make explicit tradeoffs across scope, freshness, accuracy, and user experience
Cross-functional leadership
Partner deeply with engineering and data teams on requirements, SLAs, entitlements, and release planning
Align category, business, ads, and partner-facing teams on use cases, packaging, and GTM readiness
Navigate privacy, compliance, and access-control constraints as first-class product requirements (RBAC, entitlements, auditability)
Senior PM Craft
Write crisp PRDs, run effective discovery (FGDs, shadowing, analytics), and maintain stakeholder alignment without over-indexing on consensus
Mentor junior PMs or contribute to team rituals (PRD reviews, prioritization forums) as needed
Represent the product in leadership reviews with clear narratives: what we're building, why now, and what we're not doing
What we're looking for
Experience
6–8+ years in product management (or equivalent), with meaningful ownership of at least one data, analytics, BI, or platform product
Track record of shipping B2B or partner-facing products — SaaS, embedded analytics, self-serve reporting, or API/platform experiences
Demonstrated exposure to data monetisation — packaging, pricing, subscriptions, usage-based models, or revenue-linked product bets
Comfort operating in 0-to-1 and scale-up phases; not only optimizing mature products
Skills & mindset
Strong product thinking: problem decomposition, prioritization under constraint, and outcome-oriented execution
Fluency working with engineers, data scientists, and analysts — you don't need to write SQL daily, but you understand metric definitions, pipeline dependencies, and freshness tradeoffs
Experience with multi-tenant products: roles, entitlements, onboarding, and packaging
Ability to work with legal/privacy/compliance as partners, not blockers
Clear written and verbal communication; comfortable in senior forums
Strong plus (not mandatory)
Ecommerce, marketplace, retail, or ads analytics context
AI-assisted product surfaces (NL query, copilot-style UX, explainability) as part of a governed data product
Experience productizing semantic layers / KPI definitions or self-serve analytics at scale
Prior work on governed external data sharing (anonymization, aggregation, partner access models)
Experience defining commercial models for data products (freemium → paid, tiered entitlements, enterprise deals)

Work arrangement
No