Startups · AI

Forward Deployed Engineer (Enterprise)

screenpipe · San Francisco, CA, US · On-site

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About screenpipe

Turn your company's computer work into AI agents. Backed by Y Combinator.

About 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.

What they're looking for

  • 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 are a strong engineer who would rather work inside the customer's problem than inside a backlog
More about this 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,...

Read the full posting on screenpipe's site ↗

Engineering

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