1,749,574open jobs
103,051companies
264,287added this week
Browse all
Salary
$160k – $200k per year
Location
In office (San Francisco)
Seniority
Staff · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Aug 3, 2026. Fal scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Fal

Fal is a generative media AI infrastructure platform headquartered in San Francisco, California. Founded in 2021 by former Coinbase and Amazon engineers Burkay Gur and Gorkem Yurtseven, the enterprise is backed by prominent venture investors including Andreessen Horowitz (a16z), Bessemer Venture Partners, and Salesforce Ventures.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,749,574 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Recommended for you based on this role

Product
Similar stack
Same company
San Francisco
≈ $212k – $403k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Jersey City
Python
SQL
Databases
Databricks
AI/ML
Copilot
Claude
MLFlow
AI Agents
Ray
DevOps
AWS
Kubernetes
Analytics
A/B Testing
Apply
≈ $207k – $394k per year (Estimated) • Equity • In office • 10+ years exp • Atlanta
SQL
Management
Agile
Apply
≈ $236k – $448k per year (Estimated) • In office • 10+ years exp • New York
Management
Confluence
Agile
Apply
≈ $240k – $457k per year (Estimated) • In office • New York
Apply
≈ $175k – $322k per year (Estimated) • In office • 10+ years exp • Bachelor's Degree • Tampa
Apply
$180k – $220k per year • In office • Full-Time • San Francisco
Marketing
YouTube
Instagram
Apply
$210k – $240k per year • In office • Full-Time • 8+ years exp • Bachelor's Degree • San Francisco
AI/ML
AI Agents
Apply
$180k – $250k per year • In office • Full-Time • 5+ years exp • San Francisco
Python
JavaScript
TypeScript
Databases
PostgreSQL
Frontend
Next.js
React.js
DevOps
Kubernetes
Apply
$150k – $200k per year • In office • Full-Time • 3+ years exp • San Francisco
Python
DevOps
CI/CD
Apply
$170k – $230k per year • Remote (United States) • Full-Time • 5+ years exp
Python
AI/ML
Claude Code
AI Agents
Accelerate
PyTorch
OpenAI Codex
DevOps
GitHub Actions
CI/CD
Docker
Apply
≈ $127k – $267k per year (Estimated) • Equity • Remote (United States) • Los Angeles • San Francisco • Seattle
AI/ML
AI Agents
LLM
DevOps
Kubernetes
GitHub
Management
Discord
Apply
$173k – $260k per year • In office • Full-Time • 10+ years exp • PhD • San Francisco
Python
Databases
ElasticSearch
AI/ML
AI Agents
RAG
Agentforce
Multi-Agent Systems
DevOps
Splunk
Terraform
GCP
Prometheus
AWS
Kubernetes
Grafana
Service Mesh
Self-Healing
DNS
Apply
$173k – $260k per year • Remote (United States) • Full-Time • PhD • San Francisco
Python
Go
JavaScript
SQL
Ruby
Ruby
Ruby on Rails
Databases
PostgreSQL
pgvector
AI/ML
Embeddings
AI Agents
LLM
RAG
Reranking
Hybrid Search
Agentforce
Multi-Agent Systems
Apply
≈ $84k – $170k per year (Estimated) • In office • Full-Time • 3+ years exp • San Francisco
Apply
$34k – $52k per year • Remote (United States) • Part-Time • Atlanta • San Francisco • Los Angeles • Las Vegas • El Paso
Marketing
YouTube
Instagram
Apply
See all jobs
This is one of many
1,749,574 more open roles from verified company boards, updated every day.