Sable

Forward Deployed Engineer at Sable (San Francisco, CA)

Sable· San Francisco, CA·

Role details

Work type
Onsite
Employment
Full-Time

Job 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.

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

Why work at Sable

  • Culture: Sable is an AI company redefining the future of work, specifically focusing on products that transform Go-To-Market strategies. The team is composed of forward-deployed engineers who collaborate closely with customers.
  • Work model: Hybrid workspace—employees engage in a combination of remote and on-site work. The San Francisco office is in-person.
  • Engineering culture: Emphasis on building cutting-edge multimodal AI agents with real-time screen understanding, autonomous navigation, and deep business context learning. Engineers work directly with enterprise customers to deploy solutions.
  • Perks: Not explicitly detailed, but the company’s focus on security, privacy, and trust (SOC 2, GDPR, ISO certifications) suggests a mature, compliance-minded engineering environment.

Application questions