Forward Deployed Engineer (Enterprise)

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

We help companies become AI native by recording how work actually gets done and re-organizing the company as an AI first company.You are the person who makes that real inside the customer. You deploy screenpipe, learn how the team's work actually happens, and build the system that changes it.Every enterprise deployment teaches us what to build next. You are the shortest path between a customer's real problem and our product roadmap.What you'll own- Enterprise deployments end to end: installation, capture policy, privacy boundaries, security review, rollout, and adoption.- Sitting with customer teams, mapping repeated workflows, and identifying what should be automated.- Turning deployments into product: what you build twice should become something we ship to everyone.- Acting as the technical voice on sales calls - and saying no when the fit is wrong.- Producing evidence-backed outcomes: time saved, workflows automated, adoption, reliability, and expansion.You- You are a strong engineer who would rather work inside the customer's problem than inside a backlog.- You have shipped software into a real company and watched people use it - as an FDE, solutions engineer, consultant, founder, or product engineer.x- You can communicate with the founder and an operations manager on the same day.- You can move from discovery to prototype to production without waiting for a committee.- You take privacy seriously. We record work; getting the boundaries right is part of the product.- You are in San Francisco or explicitly ready to relocate before starting.Why nowEnterprise and product-led growth are the same learning loop for us. Individual users discover unusual workflows; companies show us which outcomes are valuable and repeatable.You will sit directly in that loop with a product nobody else has: local-first capture of what actually happened at work, ready to power the AI agents companies already use.screenpipe is YC S26, a team of two, and early enough that your customer work will define the product.

Skills

• React
• Rust
• TypeScript