Note: The job is a remote job and is open to candidates in USA. Together AI is an AI-native cloud company building the infrastructure to make AI faster, cheaper, and more accessible. As a Technical Program Manager, Compute Qualification, you will own the process of screening and qualifying prospective compute providers to ensure they meet technical standards before deployment.
Responsibilities
- 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
Skills
- 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; enough depth to read a detailed technical specification and know what to question
- 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
- 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
Benefits
- Startup equity
- Health insurance
- Flexibility in terms of remote work
Company Overview
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