Skip to content

Principal/Senior Forward Deployed Engineer

$180,000–$250,000 + equitySan Francisco, CAFull-time

Principal/Senior Forward Deployed Engineer responsible for helping enterprise customers deploy, scale, and operationalize AI workloads on fal Serverless.

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

Ask your AI about this job

At a glance

Posted base pay

$180K–$250KAbove the median

Midpoint $215K · median $190K

The work

Builds what the customer runs

Balance Mostly building

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
External customers
Level
Senior
Role
Individual contributor

What they ask for

Experience

  • 5+ yearsengineering background

Background

  • Software engineering

Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in San Francisco, CA. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

What postings ask for, by background →

Conditions

Location
San Francisco, CA
Employment type
Full-time
Pay
Pay details

$180K – $250K • Offers Equity

More like this

The job description from Fal

Posted by Fal on

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 pointsQualifications/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.

View posting at Fal

Ask your AI about this job

I am a…

About Fal

Fal runs an optimized GPU inference platform for generative media (image/video/audio) models, charging developers per-API-call usage.

Series C

Similar jobs

Hiring at Fal and want this page changed or removed? Email info@nextmove.md and we take it down.