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FalFalSan Francisco, CA

Staff Software Engineer, Forward Deployed

Forward Deployed Engineer bridging Sales, Product, and Infrastructure to help enterprise customers deploy, scale, and operationalize AI workloads on fal Serverless. Requires strong engineering skills (TypeScript/Python/Next.js), customer-facing technical experience, and high ownership to debug issues, translate feedback into product priorities, and drive production success.

150k – 230k/yr
On-site7+ YOESolutions Architecture

About the role

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.

Requirements

  • Strong engineering background with proficiency in 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: take responsibility for customer success end-to-end.
  • Comfort operating in a fast-moving, low-process environment.

Nice-to-Haves

  • Experience with serverless platforms, infra products, or developer platforms.
  • Familiarity with observability tooling (logs, metrics, tracing).
  • Background in distributed systems, Kubernetes, or cloud-native deployments.
  • Experience with AI/ML workloads in production.
  • Experience writing documentation, onboarding guides, or customer playbooks.

Compensation

  • $150,000 - $230,000 + equity + comprehensive benefits package.

Skills

TypeScriptPythonPostgresNext.jsKubernetesAPIsInfrastructureCloud EnvironmentsObservabilityServerlessAI/ML
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