GPU Infrastructure Vendor & Capacity Manager

Fal.ai Inc.; San Francisco (CA); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Visa sponsorship and relocation to San

Health, dental, and vision insurance (

Regular team events and offsites

Learning and growth opportunities

Job summary

fal.ai Inc. is building the foundation for AI-native products, offering a unified platform for high-performance inference, orchestration, and observability at scale.

This role focuses on vendor performance, SLAs, and governance to ensure reliable GPU partner outcomes across hyperscalers and neocloud providers. You will own multi-vendor relationships, run QBRs, forecast capacity, and secure committed GPU capacity as shortages arise.

Qualifications

• 5+ years in vendor management or related field.
• Direct experience with neocloud or hyperscaler GPU providers.
• Excellent organization, contract records, invoice reconciliation.

Responsibilities

• Own vendor performance across GPU hyperscalers and neocloud providers by defining and tracking SLAs, managing escalations, remedies, and service credits.
• 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.

Skills

Vendor management

Cloud partnerships

Strategic sourcing

Infrastructure procurement

Executive communication

Attention to detail

Multi-vendor allocation

Job description

fal.ai Inc. is building the foundation for AI-native products, offering a unified platform for high-performance inference, orchestration, and observability at scale.

This role focuses on vendor performance, SLAs, and governance to ensure reliable GPU partner outcomes across hyperscalers and neocloud providers. You will own multi-vendor relationships, run QBRs, forecast capacity, and secure committed GPU capacity as shortages arise.