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Principal/Senior Forward Deployed Engineer

fal.ai· Engineering
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San Francisco$180k - $250kFull-timePosted 2w ago

About the role

Forward Deployed Engineer on Serverless responsible for deploying, scaling, and operationalizing AI workloads for enterprise customers on fal Serverless. Acts as technical owner, bridges Sales, Product, and Infra, and guides customers from onboarding to production with measurable impact on revenue and product growth.

Responsibilities

  • Join enterprise onboarding calls and act as the technical owner for deployments
  • Help customers integrate their models into fal Serverless (APIs, scaling, observability, deployment workflows)
  • Debug customer issues end-to-end across frontend, backend, and infra layers
  • Translate customer feedback into clear product specs, tasks, and engineering priorities
  • Work closely with Product + Infra to ensure enterprise needs are shipped into the platform
  • Build custom proofs-of-concept or lightweight integrations to unblock adoption
  • Identify repeatable patterns across customers and turn them into reusable product features
  • Improve internal tooling, onboarding flows, and docs based on real customer pain points

Qualifications

  • 5+ years of engineering background (Proficiency with TypeScript, Python, Postgres, and Next.js)
  • Experience working with customers in a technical capacity (Solutions Engineer, Forward Deployed Engineer, DevRel Engineer, or similar)
  • Comfortable jumping into ambiguous customer problems and finding solutions fast
  • Ability to understand complex systems and communicate clearly with both technical and non-technical stakeholders
  • Strong written communication skills (turning customer conversations into actionable specs/tasks)
  • Experience working across APIs, infrastructure, and cloud environments
  • High ownership mentality: you take responsibility for customer success end-to-end, comfort operating in a fast-moving, low-process environment
  • Experience with serverless platforms, infra products, or developer platforms
  • Familiarity with observability tooling (logs, metrics, tracing)
  • Background in distributed systems, Kubernetes, or cloud-native deployment
  • Experience with AI/ML workloads in production
  • Experience in generative AI inference, training and compute space strongly preferred
  • Experience writing documentation, onboarding guides, or customer playbooks

Skills

Required:TypeScriptPythonPostgreSQLNext.jsCustomer-facing engineeringServerless / cloud platforms
Nice to have:Observability tooling

Benefits

  • Interesting and challenging work
  • A lot of learning and growth opportunities
  • Health, dental, and vision insurance (US)
  • Regular team events and offsites
Last updated Oct 17, 2026. Interested? Apply on the company site.

About fal.ai

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