Technical Program Manager, Compute Qualification

1 month ago
Full-time
Senior
Project and Program Management
Together

Together

Together AI provides the fastest and most cost-efficient tools for building generative AI models, with a dedicated team of experts to support users in training their own models and advancing AI technology.

IT Services
1-10
$20M raised

Description

  • Own and improve the end-to-end qualification process for new compute capacity from intake through final go/no-go recommendation.
  • Run multiple provider evaluations in parallel, managing timelines, status tracking, and stakeholder coordination.
  • Partner with infrastructure, network, data center, and SRE teams to plan technical validation and translate findings into decisions.
  • Review provider specifications and questionnaire responses for completeness, accuracy, gaps, inconsistencies, and risk.
  • Perform first-pass analysis of provider data by comparing specifications and sanity-checking performance claims.
  • Maintain standards, templates, and documentation for qualification across compute, networking, storage, power, cooling, and operations.
  • Build an auditable record of evaluation outcomes to support sourcing decisions and scale the qualification function.
  • Deep-dive into hardware performance metrics and identify potential bottlenecks before they affect training or inference workloads.
  • Conduct diligence on technical and operational resilience with engineering partners.

Requirements

  • 5+ years in technical program management, project management, infrastructure program management, or a comparable technical operations role.
  • Experience working in hardware, data center, or large-scale compute environments is preferred.
  • Proven ability to manage multiple complex cross-functional workstreams to deadline.
  • Working technical fluency across server and GPU hardware, high-performance networking, storage, and power and cooling fundamentals.
  • Ability to read detailed technical specifications and identify what to question.
  • Hands-on comfort with data, including writing scripts or queries in Python or SQL to validate and analyze data independently.
  • Excellent written and verbal communication skills for translating technical detail into clear recommendations.
  • Willingness to travel to provider and data center sites as needed.
  • Experience qualifying, commissioning, or accepting GPU clusters or HPC infrastructure against performance and reliability standards is preferred.
  • Familiarity with AI training and inference infrastructure, including interconnect topologies, cluster bring-up, and acceptance testing is preferred.

Benefits

  • Competitive compensation.
  • US base salary range of $200K-$250K plus equity and benefits.
  • Startup equity.
  • Health insurance.
  • Flexibility in remote work.
  • Other benefits.
  • Equal employment opportunity across protected characteristics.

Interested in this position?

Apply directly on the company website

Apply Now

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