HOME Customer Success & Technical Account Management Principal/Senior Forward Deployed Engineer
  • Fal Ai
  • San Francisco, CA
  • Full-Time
  • 23 days ago
  • $180,000–$250,000
Fal Ai VERIFIED EMPLOYER

Principal/Senior Forward Deployed Engineer.

Customer Success & Technical Account Management Full-Time

Principal/Senior Forward Deployed Engineer: our view in 3 lines...

  • The Role:This role is for a senior technical customer-facing engineer helping enterprise customers deploy and run AI workloads on fal.
  • The Person:The person will join enterprise onboarding calls, unblock customer deployments, debug issues across frontend, backend and infra, translate feedback into product specs, and build proofs of concept or integrations to speed adoption.
  • Requirements:The ideal candidate has 5+ years of engineering background with proficiency in TypeScript, Python, Postgres, and Next.js, plus experience with APIs, infrastructure, cloud environments, serverless platforms, and Kubernetes.

About the role

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role:

As a Forward Deployed Engineer on Serverless, you will work directly with enterprise customers to help them deploy, scale, and operationalize their AI workloads on fal. This is a highly technical, customer-facing role where you’ll act as the bridge between Sales, Product and Infrastructure teams.

You’ll join customer calls, deeply understand their architecture and needs, and translate those into actionable implementation plans and product requirements. You will be responsible for unblocking customer deployments, accelerating onboarding, and ensuring enterprise accounts successfully reach production fast.

This is a role for someone who loves solving real-world engineering problems and wants direct ownership over outcomes that drive revenue and product growth.

What you’ll do:

  • 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/Nice-to-haves:

  • 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

What we offer at fal:

  • Interesting and challenging work

  • A lot of learning and growth opportunities

  • Health, dental, and vision insurance (US)

  • Regular team events and offsites

 

U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION:

fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Published October 9, 2026
Location San Francisco, CA
Job Type Full-Time