Pay not posted
Forward Deployed Engineer
Posted by Sable · open on Ashby as of
Pay not postedSan Francisco, CAOn-siteFull-time
Own customer accounts from scoping through live implementation
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At a glance
Posted base pay
Not posted
Median $190K
Senior FDE postings1,849 postings · middle 50% of posted pay$160K–$220KThe work
Builds what the customer runs
Balance Mostly building
Project stages
- Pre-sales
- Proof of concept (not covered)
- Implementation
- Operations
- Coding
- Writes production code
- Builds for
- External customers
- Level
- Senior
- Role
- Technical lead
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The job description from Sable
Posted by Sable on
About Sable
Sable built Aidan, the first AI employee who can lead customer calls using realtime voice, vision, and browser use. Aidan runs a live, two-way conversation inside a real product environment, clicking through the product like a human, watching the user's screen, and adapting the journey on the fly. Every conversation feeds a self-improving context graph we call the Brain, so Aidan gets smarter with each call.
The role
You own a customer end to end from the engineering side. You join calls with customers, watch where Aidan could improve inside their product, and find the technical breakthroughs: sometimes in the customer's configuration, sometimes in the tooling, and sometimes in the agent itself. You work in a pair with a Deployment Strategist who owns the customer's context and journeys; you own everything that needs code. When the fix belongs in the core agent, you bring the agent team a reproduced case and a proposed change, not a vague report.
What you'll do
- Be the engineer assigned to a set of accounts, from first scoping call to live implementation
- Build the tooling that makes deployments faster: replay, evaluation, configuration, integrations into the customer's stack
- Coordinate development with the agent team.
- Turn what you learn on each account into playbooks so the next deployment needs less of you
Who you are
- Strong software engineer, comfortable across backend, browser automation, and LLM-based systems
- You like working directly with customers and leading technical discussions when necessary
- You have shipped at a startup or as a founder, or have been in a forward deployed or solutions role
- Bonus: hands-on agent, prompt, or evaluation work; experience with voice or realtime systems
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