---
title: 'Compute Operations at fal'
canonical: 'https://feeny.ai/job/compute-operations-fal-san-francisco-fge3fjrn1xhf'
type: 'job'
last_seen: '2026-11-05'
---

# Compute Operations at fal

- **Company:** fal
- **Location:** San Francisco, CA
- **Compensation:** $200k–$270k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-09
- **Last confirmed live:** 2026-11-05
- **Apply:** https://jobs.ashbyhq.com/fal-ai/a1c80299-072e-42a7-bbfa-7d7b4d1cc9e7

## 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: We’re looking for a Vendor Management professional to own relationships and performance across GPU infrastructure providers, hyperscalers, and neocloud partners. You’ll drive vendor accountability, manage SLAs and escalations, oversee contracts and service credits, and align GPU capacity with business demand. Working cross-functionally with Capacity Planning, Finance, and leadership, you’ll strengthen vendor governance, lead business reviews, and mitigate supply constraints. The ideal candidate has direct experience managing infrastructure providers, negotiating commercial commitments, and building scalable vendor management processes in a fast-growing AI infrastructure environment.

What you'll do:

- Own vendor performance across GPU hyperscalers and neocloud providers by defining and tracking SLAs, managing escalations, remedies, and service credits, and holding partners accountable to their commitments.
- Build strategic relationships with key infrastructure partners through regular business reviews and executive engagement with Tier 1 vendors.
- Align capacity to demand by partnering with Capacity Planning to secure committed GPU capacity, forecast growth, and mitigate supply constraints.
- Own vendor governance including contract compliance, invoice reconciliation, renewals, and performance reporting.
- Run regular business reviews with vendor partners to discuss performance, open credit claims, capacity planning, and outstanding issues.

Requirements/Nice to have:

- 5+ years in vendor management, cloud partnerships, strategic sourcing, or infrastructure procurement within the AI, GPU, cloud, or hyperscale infrastructure industry.
- Must have worked directly with neocloud, hyperscaler, or GPU infrastructure providers, owning commercial relationships and vendor performance.
- Highly organized with exceptional attention to detail, able to manage contract records, reconcile invoices, calculate credits, and maintain accurate vendor documentation.
- Comfortable owning vendor escalations, running QBRs and scorecards, and communicating effectively with both executive vendor contacts and internal stakeholders.
- You've managed multi-vendor allocation by priority during shortages.
- You've stood up a vendor-management function from scratch at a neocloud or hyperscaler.

## What we offer at fal

- Interesting and challenging work
- A lot of learning and growth opportunities
- We offer visa sponsorship and will help you relocate to San Francisco.
- Health, dental, and vision insurance (US)
- Regular team events and offsites

## Compensation

- $160,000 - $200,000 + equity + comprehensive benefits package

## 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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- [Senior Software Engineer, Machine Learning Infrastructure & Automation](https://feeny.ai/job/senior-software-engineer-machine-learning-infrastructure-automation-fal-united-yn92t5ee7v00) — United States
- [Capital Markets & Compute Strategy](https://feeny.ai/job/capital-markets-compute-strategy-fal-san-francisco-2p4xnr15s126) — San Francisco, CA
- [Account Manager, Commercial (EMEA)](https://feeny.ai/job/account-manager-commercial-emea-fal-turkey-xmq66mtqt7aa) — Turkey
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