Senior Product Manager

About screenpipe

Turn your company's computer work into AI agents.

Tech

We run a desktop app that captures continuously and reliably on people's machines, all day, without getting in the way. That one constraint makes almost everything hard and interesting. The stack: A Rust core for high-throughput screen and audio capture, accessibility-tree parsing, and local indexing for fast search. A Tauri desktop app in TypeScript and React, shipping on macOS and Windows. On-device AI. We train and run our own models locally, including PII redaction, so sensitive data never has to leave the machine. Local-first storage and a local API that agents and pipes build on top of. Hard problems we live in: capturing everything without slowing the machine down, running ML on-device across wildly different hardware, turning messy accessibility trees into clean structure, and staying stable enough that people trust us with their entire digital life. We build in the open. We are training our own privacy model and foundation model to understand human work activity in a modality frontier companies will never risk, which is long term screen recording.

The role

San Francisco, CA · Full-time · In person[Screenpipe](https://screenpipe.com) gives AI agents memory of your work. It keeps raw computer history local by default and makes that context available to the AI tools you choose.We're looking for a senior PM who can make a powerful technical product simple and useful in everyday work.You'll work directly with the founder and engineers, owning the path from understanding a customer's problem to shipping a change and seeing whether it helped.## What you'll own- Customer discovery. Talk to users regularly, watch them use the product, and understand what they are trying to get done.- The customer journey. Help people move from installing Screenpipe to getting a useful result and making it part of their routine.- Product priorities. Combine interviews, support feedback and product data to decide what matters next and what can wait.- Delivery. Turn problems into clear flows, prototypes and scoped work. Stay involved through implementation, release and follow-up.- Product outcomes. Define meaningful activation and retention measures, run focused experiments, and check whether changes improve real usage.- Trust. Treat privacy, permissions and clear explanations as part of the user experience.## What we're looking for- You've owned a software product end to end and can explain what you personally shipped, why you chose it and what happened afterward.- You have strong UX judgment and know how to test your assumptions with customers.- You're comfortable with product analytics, funnels and cohorts, including questioning how a metric is defined.- You can use AI tools to investigate problems and build prototypes, and work closely with engineers on technical tradeoffs.- You take ownership, communicate clearly and can make decisions with incomplete information.- You're based in San Francisco and want to work together in person.Experience with early-stage products, desktop software, developer tools or AI agents is useful.## Why ScreenpipeThis is a chance to shape how people use AI with the context of their actual work. You'll have direct access to users, a public codebase to learn from, and room to carry an idea from discovery through to a working product.## CompensationBase salary: $160,000 to $220,000 per year. Equity range: 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 is full-time and in person in San Francisco. We are not offering visa sponsorship for this role.## ApplySend us a product you helped build and a short explanation of your contribution. Include one example of a customer insight that changed what you shipped. Please use public examples or anonymize confidential details.Explore [Screenpipe](https://screenpipe.com) and the [codebase](https://github.com/screenpipe/screenpipe), then apply through YC.