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Technical Program Manager (Compute Qualification)

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Onsite

Technical Program Manager (Compute Qualification)

Together AI

Technical Program Manager (Compute Qualification)

Skills

SQL QueriesPythonAI

2 months ago

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Important information


Contract type:

Permanent

Salary:

$200,000 – $250,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

17 August 2026

What they need


  • As Technical Program Manager, Compute Qualification, you will run the process that screens and qualifies prospective compute providers, taking each prospective deployment through a structured evaluation across compute, networking, storage, power, cooling, and operations
  • You will coordinate various engineering partners through validation, review provider specifications and test results, and produce clear go/no-go recommendations on whether new capacity meets our standards
  • It is a high-impact, process-driven role for someone technical enough to know when a spec sheet does not add up, and additional diligence needs to be completed, and organized enough to drive many evaluations to closure in parallel
  • You will deep-dive into critical hardware performance metrics, proactively identifying potential bottlenecks in cluster architecture before they impact our end customers training or inference workloads.
  • Conduct diligence and work with engineering teams to make assessments regarding technical and operational resilience
  • Own and continuously improve the end-to-end qualification process for new compute capacity, from initial provider intake through final go/no-go recommendation
  • Run multiple provider evaluations in parallel, setting timelines, tracking status, and keeping every stakeholder aligned on what is needed and by when
  • Partner with infrastructure engineering, network engineering, data center engineering, and SRE teams to plan and coordinate technical validation, then translate their findings into clear decisions for leadership
  • Review provider technical specifications and questionnaire responses for completeness and accuracy, flagging gaps, inconsistencies, and risks that warrant follow-up
  • Conduct first-pass analysis of provider data yourself: compare specifications across suppliers , sanity-check performance claims, and surface issues before deeper engineering review
  • Maintain the standards, templates, and documentation that define what meets spec across compute, networking, storage, power, cooling, and operational support
  • Build a structured, auditable record of evaluation outcomes that informs sourcing decisions and scales the qualification function as the team grows

Benefits

  • Competitive health insurance plans
  • Dental and vision insurance
  • Pre-tax flexible spending accounts
  • Income protection & retirement
  • Mental health support and services
  • STD & LTD insurance
  • AD&D insurance
  • 401(k) plan
  • Life insurance
  • Flexible time off policy
  • Team-driven celebrations and events
  • Monthly team lunches
  • Monthly commuting stipend + pre-tax bene- Working technical fluency across data center infrastructure: server and GPU hardware, high-performance networking (InfiniBand or Ethernet fabrics), storage, and power and cooling fundamentals; enough depth to read a detailed technical specification and know what to question
  • Willingness to travel to provider and data center sites as needed
  • 5+ years in technical program or project management, infrastructure program management, or a comparable technical operations role, ideally involving hardware, data center, or large-scale compute environments
  • Excellent written and verbal communication; able to turn dense technical detail into clear recommendations for both engineers and executives
  • Hands-on comfort with data: able to write scripts or queries (for example, Python or SQL) to compare, validate, and analyze provider specifications and test results independently
  • Proven ability to run multiple complex, cross-functional workstreams to deadline, with strong organization and stakeholder management
  • Experience qualifying, commissioning, or accepting GPU clusters or HPC infrastructure against defined performance and reliability standards
  • Familiarity with AI training and inference infrastructure, including interconnect topologies, cluster bring-up, and acceptance testing
  • Experience in AI/HPC cluster design
  • Background working directly with hardware vendors, colocation providers, or cloud capacity providers

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