---
title: 'Technical Program Manager, Infrastructure at fal'
canonical: 'https://feeny.ai/job/technical-program-manager-infrastructure-fal-san-francisco-8nvn041q9b9e'
type: 'job'
last_seen: '2026-10-15'
---

# Technical Program Manager, Infrastructure at fal

- **Company:** fal
- **Location:** San Francisco, CA
- **Compensation:** $160k–$200k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-03
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/fal-ai/acff53f8-68a3-4173-9449-8b12f09f0244

## 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.

You will own the operational and commercial performance of the hyperscalers, neoclouds, and GPU infrastructure providers that power fal’s compute fleet. You will translate contract commitments into measurable operating standards, resolve performance issues, recover credits and remedies, and ensure our capacity is ready when customers need it. This is a hands-on role for someone who understands both infrastructure operations and commercial vendor management. You will build the systems, reporting, and operating cadence for a vendor portfolio that is growing quickly in scale and complexity.

## What you’ll own

- Own post-signature relationships with GPU infrastructure providers, including hyperscalers, neoclouds, colocation partners, and other strategic compute vendors.
- Translate contractual commitments into measurable SLAs, scorecards, escalation procedures, and internal operating requirements.
- Track availability, provisioning timelines, capacity delivery, support responsiveness, and other vendor-performance measures.
- Lead escalations when vendors miss commitments, coordinating with Infrastructure, Capacity Planning, Finance, Legal, and executive stakeholders.
- Pursue service credits, remedies, and corrective-action plans, and ensure issues remain open until they are fully resolved.
- Run vendor governance, including regular operating reviews, executive business reviews, performance reporting, renewal readiness, and contract-compliance tracking.
- Partner with Capacity Planning and Strategic Sourcing to align committed capacity with demand forecasts and identify supply risks early.
- Reconcile invoices against contracted pricing, delivered capacity, usage, credits, and other commercial terms.
- Maintain accurate records of commitments, renewals, open claims, invoices, and vendor obligations.
- Build the vendor-management processes, dashboards, and operating cadence fal needs as its infrastructure footprint scales.

## What you bring

- 5+ years in infrastructure vendor management, cloud partnerships, strategic sourcing, procurement operations, or a related function.
- Direct experience managing commercial relationships with hyperscalers, neoclouds, GPU providers, data-center operators, or other large-scale infrastructure vendors.
- Experience operationalizing complex infrastructure agreements involving committed capacity, SLAs, service credits, provisioning requirements, renewals, and commercial remedies.
- A track record of resolving vendor-performance issues and holding strategic partners accountable without damaging long-term relationships.
- Strong analytical and operational skills, including performance reporting, invoice reconciliation, credit calculations, and contract-compliance tracking.
- Enough technical fluency to work effectively with infrastructure engineering and capacity-planning teams and understand the operational impact of vendor failures.
- Experience running QBRs, vendor scorecards, executive escalations, and corrective-action plans.
- Comfort building processes and systems from scratch in a fast-moving environment.
- Clear, direct communication and excellent attention to detail.

Bonus points

- Experience managing GPU capacity across multiple providers.
- Experience allocating constrained capacity during shortages or periods of rapid demand growth.
- Familiarity with GPU availability, provisioning, utilization, networking, and cloud infrastructure economics.
- Experience recovering material service credits or negotiating remedies following major performance failures.
- Experience establishing a vendor-management function at a hyperscaler, neocloud, AI infrastructure company, or high-growth technology company.

What success looks like Within your first six months:

- Every strategic infrastructure vendor has clear ownership, performance measures, and a regular review cadence.
- Contractual commitments, renewals, credits, and open escalations are tracked in one reliable system.
- Invoice and capacity discrepancies are identified and resolved consistently.
- Vendor risks are surfaced before they affect customers or constrain growth.
- fal has a repeatable process for holding infrastructure partners accountable.

## 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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