
Forward Deployed Engineer at Sable (San Francisco, CA)
Sable· San Francisco, CA·
Role details
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.