About the role
About
The Role Together AI is growing its compute footprint, and making sure new capacity meets our technical standards is an important priority for the company. Every new cluster has to clear a technical bar before it carries customer workloads, and this role owns that bar. 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.
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
