7 hours ago
Base Salary
$180k - $250k/yr
Responsibilities
- Own technical onboarding and enterprise deployments through production.
- Help customers integrate models into fal Serverless, including APIs, scaling, observability, and deployment workflows.
- Debug customer issues end-to-end across frontend, backend, and infrastructure layers.
- Translate customer feedback into product specifications, tasks, and engineering priorities.
- Collaborate with Product and Infrastructure teams to ship enterprise-focused platform improvements.
- Build proofs of concept and lightweight integrations to unblock customer adoption.
- Identify repeatable customer patterns and turn them into reusable product features.
- Improve internal tooling, onboarding flows, documentation, and customer playbooks.
Requirements
- 5+ years of engineering experience with proficiency in TypeScript, Python, Postgres, and Next.js.
- Technical customer-facing experience as a Solutions Engineer, Forward Deployed Engineer, DevRel Engineer, or similar.
- Ability to solve ambiguous customer problems, understand complex systems, and communicate with technical and non-technical stakeholders.
- Strong written communication skills for converting customer conversations into actionable specifications and tasks.
- Experience working across APIs, infrastructure, and cloud environments.
- Experience with serverless platforms, infrastructure products, or developer platforms.
- Familiarity with observability tooling such as logs, metrics, and tracing.
- Background in distributed systems, Kubernetes, or cloud-native deployment.
- Experience with AI/ML workloads in production.
- Strongly preferred experience with generative AI inference, training, and compute.
- Experience writing documentation, onboarding guides, or customer playbooks.
- Comfort operating in a fast-moving, low-process environment and taking end-to-end ownership of customer success.
Benefits
- Health, dental, and vision insurance in the US.
- Regular team events and offsites.
- Interesting and challenging work with learning and growth opportunities.
Tech Stack
Categories
Forward Deployed
About fal
Fal builds a generative media platform that gives developers a unified API to run state-of-the-art image, video, and audio models. It provides serverless GPUs, high-performance inference, and dedicated compute clusters so teams can customize, deploy, and scale models in production. The company is privately held and headquartered in San Francisco, serving both startups and enterprises through a commercial API and managed infrastructure.