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Sable

Forward Deployed Engineer

  • Office

Salary

Not stated

Similar roles pay $160K - 230K a year · our estimate

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Description

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.

Responsibilities

  • 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.
  • 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

Requirements

  • 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

Where you’d work

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The office

About the company

Sable

  • Industry: AI

Office in San Francisco, United States

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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Details10 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • LLMs
Type
Full-time
Industry
AI
Specialty
Forward Deployed
Region
United States
Pay period
Annual
Show 4 more factsShow less

Role

Category
Solutions & Support
Specialty
Forward Deployed
Tech stack
  • LLMs

Location

Work model
Office
Region
United States
Office
  • San Francisco, United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
AI

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