Sr. 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.

Responsibilities:

• 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, personalization, 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.

Requirements:

• 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.