Join an early-stage AI customer success software team as its founding Forward Deployed Engineer. You will work directly with enterprise customers to put AI agents into production, demonstrate value, and turn what you learn into improvements to the core platform.
Work with customers to understand their onboarding, adoption, and renewal workflows, then identify where AI agents can help.
Configure and deploy agents using customer data sources, business systems, identity tools, and integrations.
Build and refine evaluations using real customer data to validate agent quality before launch.
Partner with go-to-market teams on technical discovery, customer activation, and account growth.
Bring field learnings back to the product and improve platform capabilities where needed.
Debug production deployments, investigate root causes, and expand solutions after proving initial value.
Three to seven years of experience in customer-facing software engineering, forward deployed engineering, or solutions engineering.
Experience owning technical customer deployments and rollouts, ideally in an early-stage or high-growth startup.
Hands-on experience building and deploying LLM agents with customers, including prompts, evaluations, and complex, long-running workflows.
Strong Python and FastAPI backend skills, React frontend experience, and familiarity with PostgreSQL, RAG, CI/CD, and agent frameworks.
Strong computer science fundamentals and evidence of career growth and progression.
Experience working in a hybrid, customer-facing environment is valuable.
Annual salary range: $180,000 to $230,000 USD. Visa sponsorship is not available.
Hybrid in San Francisco, California, United States.
Job details are sourced from the employer's original posting.
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A talent solutions partner that helps companies build and scale their teams.