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Together AI

Technical Compute Qualification Manager

Together AI · San Francisco

Posted about 3 months ago · $200-250K

or apply directly on Together AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Together AI's roles stay open a median of 81 days
Reposted
No
Salary listed
Yes
72% of Together AI's roles list one
Ghost-job risk at Together AI
high
59 stale, 0 reposted of 61 open
Hiring momentum
77 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Together AI's own greenhouse board since 2026-08-03. Full hiring picture for Together AI.

About this role

As a Technical Compute Qualification Manager at Together AI, you will oversee the qualification process for new compute capacity, ensuring it meets technical standards before deployment. This involves coordinating evaluations across various engineering teams, analyzing provider specifications, and producing go/no-go recommendations. The role requires a blend of technical knowledge and organizational skills to manage multiple evaluations simultaneously and maintain documentation of outcomes.

Our read on this posting3.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Together AI as an employer.

What you need

  • 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
  • Proven ability to run multiple complex, cross-functional workstreams to deadline, with strong organization and stakeholder management
  • Working technical fluency across data center infrastructure: server and GPU hardware, high-performance networking (InfiniBand or Ethernet fabrics), storage, and power and cooling fundamentals
  • 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
  • Excellent written and verbal communication; able to turn dense technical detail into clear recommendations for both engineers and executives
  • Willingness to travel to provider and data center sites as needed

Nice to have

  • 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

What you get

  • competitive compensation
  • startup equity
  • health insurance
  • flexibility in terms of remote work
  • US base salary range of $200-250K + equity + benefits

Worth weighing

  • no specific mention of required travel frequency
  • the role involves a high level of technical detail which may require continuous learning
  • the position may require managing multiple evaluations simultaneously, which could be demanding

Summarised from Together AI's posting. Read the full original.

Listed by Together AI on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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