Senior Product Manager

• We are looking for a Senior Product Manager who can take a messy real-world problem, break it down from first principles, and ship a clean solution on a consumer mobile app.
• You will own features end to end, from discovery to launch to iteration.
• You will work directly with the founders, so your decisions will ship fast and matter a lot.

What You Will Do:

• Own the full product cycle: Research, define, spec, build, launch and improve features on the app.
• Solve, not just document: Turn ambiguous user and business problems into sharp, practical solutions. We value thinking over templates.
• Build from zero: Take new ideas from a blank page to a live feature that users love and that moves our metrics.
• Ship AI-first features: Design product experiences powered by LLMs and ML, such as policy parsing, coverage gap analysis, personalisation and smart automation. Not just a chatbot bolted on the side.
• Lead and grow people: Guide a small pod of PMs or APMs, and run cross-functional squads of engineers, designers and QA.
• Talk to users: Sit with real customers, read support tickets, watch session recordings, and let evidence drive your roadmap.
• Own your numbers: Define success metrics, track activation, retention and engagement, and be honest when something is not working.

Must-Haves:

• 6+ years of product management experience, with clear ownership of outcomes.
• 2 to 3 years on a B2C mobile app with real scale: You understand app store cycles, push notifications, deep links, app performance and mobile-first design.
• Strong solutioning skills: You can walk us through a problem you cracked, the options you weighed, and why you picked your approach.
• 0 to 1 experience: You have built at least one product or major feature from scratch and taken it live.
• 1+ year of team leadership: You have managed or mentored PMs, or formally led a product pod.
• Real AI experience: You have shipped features using LLMs, ML models or AI pipelines in production. You understand prompts, evals, model limits, latency and cost trade-offs. A demo chatbot does not count.

Good to Have:

• Experience in fintech, insurance or another regulated space.
• Comfort with data tools like SQL, Mixpanel or CleverTap.
• You use AI tools daily in your own workflow and can prototype with them.
• Startup experience where you wore many hats and moved fast.

Experience Range: 6 - 10 years

Educational Qualifications: Any graduation/PG