Senior Product Manager

Full-time. San Francisco, in person. Base salary: $160,000 to $220,000 per year. Equity: 0.25% to 1.00% on a fully diluted basis. Final compensation depends on experience and role scope. Any equity grant is subject to board approval, equity plan terms, vesting, and definitive documents. This role does not offer visa sponsorship. Make computer context useful in everyday work Screenpipe helps companies find work worth automating. It captures screen and audio activity, makes computer history searchable, and gives AI agents context from how work happens. Capture history stays on the device by default; optional cloud AI, sync, and enterprise storage have separate data paths. You’ll work directly with the founder and engineers to turn a powerful technical product into something people can understand and use repeatedly. You’ll own the path from discovering a customer problem to shipping a change and checking the result. What you’ll own Talk to users and watch them work. Use interviews, support conversations, and product data to identify where the product helps and where people get stuck. Improve the journey from installation to a useful result and repeat use. Make setup, permissions, and the product’s capabilities clear. Decide what to build next and what can wait. Turn the problem into a clear flow, prototype, and scope that engineers can implement. Stay involved through implementation, release, and customer follow‑up. Investigate when a shipped feature fails to solve the original problem. Define activation and retention measures, check the instrumentation behind them, and run focused experiments. Look for evidence that users got useful work done and came back. Treat privacy and control over captured data as part of the product experience. What we’re looking for You’ve owned a software product from discovery through delivery and can explain your contribution and what happened after launch. You have strong UX judgment and test assumptions with customers. You can work with funnels and cohorts, question how a metric is defined, and connect the numbers to what users tell you. You use AI to investigate problems and build prototypes, and can discuss technical tradeoffs with engineers. This is hands‑on product work in an early‑stage company. You’ll need to make decisions with incomplete information, communicate clearly, and take responsibility for the outcome. Experience with desktop software, developer tools, or AI agents is useful. The role is in person in San Francisco, with direct access to users and a public codebase you can explore. Benefits Health and recovery: Personal health coach or trainer, gym membership, sauna and cold plunge access, and unlimited massages. Health insurance: Top-tier health insurance. Flexibility: San Francisco is our home base, with flexibility to work remotely from time to time, including trips abroad such as Thailand. Learning: Unlimited books and audiobooks, on us. AI tools: $20,000 per month in AI tokens to build, experiment, and do your best work. Personal growth: Career and life coaching. Team travel: Team trips and work retreats, including places like Hawaii. #J-18808-Ljbffr