---
title: 'Senior/Staff Software Engineer, Forward Deployed at fal'
canonical: 'https://feeny.ai/job/senior-staff-software-engineer-forward-deployed-fal-san-francisco-0jw2vrfsjj4j'
type: 'job'
last_seen: '2026-10-15'
---

# Senior/Staff Software Engineer, Forward Deployed at fal

- **Company:** fal
- **Location:** San Francisco, CA
- **Compensation:** $180k–$250k
- **Employment:** full-time
- **Posted:** 2026-10-09
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/fal-ai/f8208e5c-d6ea-4fec-b270-71c0bf0fd3ba

## Job description

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.

## About fal

## Company Overview
- **One-liner**: fal provides a serverless generative media platform for developers, enabling lightning-fast inference for image, video, audio, and 3D AI models.
- **Entity Type**: Private (Series D)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2021
- **Founders**: Burkay Gur, Gorkem Yurtseven

## Core Business
- **Industry**: Technology, Information, and Internet (Generative AI Infrastructure)
- **Target Customers**: B2B — developers, enterprises, and research labs building generative AI applications.
- **Mission**: Build the world’s first generative media platform for developers, enabling real-time AI content creation at scale.

## Products & Services
- **fal Inference Engine™**: A globally distributed serverless runtime optimized for large ML models on thousands of GPUs (H100, H200, B200). Up to 10x faster than alternatives, with 99.99% uptime and no cold starts.
- **Model Gallery**: A library of 1,000+ production-ready generative media models (image, video, audio, 3D) accessible via a unified API and SDKs.
- **Dedicated Compute Clusters**: On-demand or reserved GPU clusters for fine-tuning, training, or running custom models, with access to 1000s of Blackwell GPUs.
- **fal Compute**: Hourly GPU pricing for dedicated VMs, starting at $1.89/hr for high-end hardware.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (most recent round: $140M Series D)
- **Key Metric**: $140M Series D raised
- **Total Funding**: At least $163M across rounds (Pre-Seed $9M, Series A $14M, Series D $140M)
- **Notable Investors/Partners**: Sequoia Capital, Andreessen Horowitz (a16z), Bessemer Venture Partners, Kleiner Perkins, NVIDIA
- **Growth Signals**:
    - Headcount grew 246% year-over-year to ~84 employees
    - Trusted by 1.5M+ developers and leading enterprises
    - Powers AI features for public companies and hypergrowth startups
    - SOC 2 compliant and enterprise-ready

## Competitive Advantages
- **Serverless, globally distributed inference engine** purpose-built for generative media, eliminating GPU configuration and cold starts.
- **Massive scale**: Capable of handling 100M+ daily inference calls with enterprise-grade reliability.
- **Proprietary distributed data-feeding engine** and deep optimization for diffusion models.
- **Deep ecosystem**: 1,000+ pre-integrated models and strong partnerships with NVIDIA and top-tier VCs.
- **Developer-first experience**: Unified API, SDKs, and per-output pricing model reduce barriers to deployment.

## Strategic Focus
- **Global infrastructure scaling**: Expanding GPU fleet across regions to meet accelerating demand for generative media.
- **Enterprise adoption**: Strengthening compliance (SOC 2, SSO), private endpoints, and dedicated support for large customers.
- **Generative Media Fund**: Investing in the next generation of companies building in the space.
- **Talent acquisition**: Aggressively hiring across engineering, go-to-market, and operations to keep pace with growth.

## Why Work Here
- **Engineering culture**: Fast-paced, high-agency environment focused on infrastructure and ML performance. Teams own critical systems from day one.
- **Work model**: Primarily in-person at downtown San Francisco office. Remote opportunities available for exceptional candidates.
- **Visa sponsorship**: Offered with relocation support to San Francisco.
- **Benefits**: Competitive salary and equity, health/dental/vision insurance, regular team events and offsites.
- **Growth trajectory**: Company is scaling rapidly (headcount +246% YoY) with ambitious goals to 1000x usage, offering significant career growth opportunities.
- **Impact**: Work on the foundational platform powering generative AI for millions of users and leading enterprises.

## Sources
1. [fal.ai](https://fal.ai/)
2. [fal Careers](https://fal.ai/careers)
3. [fal Blog - Series D Announcement](https://blog.fal.ai/our-series-d-scaling-fal/)
4. [LinkedIn - fal](https://www.linkedin.com/company/features-and-labels)
5. [Greenhouse Jobs Board](http://job-boards.greenhouse.io/fal)

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