{"schemaVersion":"jobsearcher.job.v1","id":"e1286a263f6ad25ec55253ea","url":"https://jobsearcher.com/jobs/e1286a263f6ad25ec55253ea","canonicalUrl":"https://jobsearcher.com/jobs/e1286a263f6ad25ec55253ea","title":"Technical Program Manager, Compute Qualification","description":"About The Role\nTogether 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.\nYou 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.\nResponsibilities\nOwn and continuously improve the end-to-end qualification process for new compute capacity, from initial provider intake through final go/no-go recommendation.\nRun multiple provider evaluations in parallel, setting timelines, tracking status, and keeping every stakeholder aligned on what is needed and by when.\nPartner 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.\nReview provider technical specifications and questionnaire responses for completeness and accuracy, flagging gaps, inconsistencies, and risks that warrant follow-up.\nConduct first-pass analysis of provider data yourself: compare specifications across suppliers , sanity-check performance claims, and surface issues before deeper engineering review.\nMaintain the standards, templates, and documentation that define what meets spec across compute, networking, storage, power, cooling, and operational support.\nBuild a structured, auditable record of evaluation outcomes that informs sourcing decisions and scales the qualification function as the team grows.\nRequirements\n5+ 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.\nProven ability to run multiple complex, cross-functional workstreams to deadline, with strong organization and stakeholder management.\nWorking 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.\nHands-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.\nExcellent written and verbal communication; able to turn dense technical detail into clear recommendations for both engineers and executives.\nWillingness to travel to provider and data center sites as needed.\nNice to Have\nExperience qualifying, commissioning, or accepting GPU clusters or HPC infrastructure against defined performance and reliability standards.\nFamiliarity with AI training and inference infrastructure, including interconnect topologies, cluster bring-up, and acceptance testing.\nExperience in AI/HPC cluster design.\nBackground working directly with hardware vendors, colocation providers, or cloud capacity providers.\nAbout Together AI\nTogether AI is an AI-native cloud company building the infrastructure to make AI faster, cheaper, and more accessible. We’re rapidly scaling our GPU footprint: signing our own data center leases, building large-scale clusters, and expanding toward a global owned-infrastructure presence. Our research team has contributed to breakthroughs like FlashAttention, Hyena, and RedPajama, and we co-design across software, hardware, and algorithms to push the frontier of AI efficiency.\nCompensation\nWe offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $200-250K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\nEqual Opportunity\nTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at https://www.together.ai/privacy","company":"Together Ai","rawCompany":"together ai","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-03T22:52:53.927Z","occupations":[{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"13-1082.00","title":"Project Management Specialists","slug":"project-management-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541513","title":"Computer Facilities Management Services","slug":"computer-facilities-management-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Technical Program Manager, Compute Qualification","description":"About The Role\nTogether 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.\nYou 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.\nResponsibilities\nOwn and continuously improve the end-to-end qualification process for new compute capacity, from initial provider intake through final go/no-go recommendation.\nRun multiple provider evaluations in parallel, setting timelines, tracking status, and keeping every stakeholder aligned on what is needed and by when.\nPartner 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.\nReview provider technical specifications and questionnaire responses for completeness and accuracy, flagging gaps, inconsistencies, and risks that warrant follow-up.\nConduct first-pass analysis of provider data yourself: compare specifications across suppliers , sanity-check performance claims, and surface issues before deeper engineering review.\nMaintain the standards, templates, and documentation that define what meets spec across compute, networking, storage, power, cooling, and operational support.\nBuild a structured, auditable record of evaluation outcomes that informs sourcing decisions and scales the qualification function as the team grows.\nRequirements\n5+ 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.\nProven ability to run multiple complex, cross-functional workstreams to deadline, with strong organization and stakeholder management.\nWorking 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.\nHands-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.\nExcellent written and verbal communication; able to turn dense technical detail into clear recommendations for both engineers and executives.\nWillingness to travel to provider and data center sites as needed.\nNice to Have\nExperience qualifying, commissioning, or accepting GPU clusters or HPC infrastructure against defined performance and reliability standards.\nFamiliarity with AI training and inference infrastructure, including interconnect topologies, cluster bring-up, and acceptance testing.\nExperience in AI/HPC cluster design.\nBackground working directly with hardware vendors, colocation providers, or cloud capacity providers.\nAbout Together AI\nTogether AI is an AI-native cloud company building the infrastructure to make AI faster, cheaper, and more accessible. We’re rapidly scaling our GPU footprint: signing our own data center leases, building large-scale clusters, and expanding toward a global owned-infrastructure presence. Our research team has contributed to breakthroughs like FlashAttention, Hyena, and RedPajama, and we co-design across software, hardware, and algorithms to push the frontier of AI efficiency.\nCompensation\nWe offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $200-250K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.\nEqual Opportunity\nTogether AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at https://www.together.ai/privacy","datePosted":"2026-08-03T22:52:53.927Z","dateModified":"2026-08-03T22:52:53.927Z","hiringOrganization":{"@type":"Organization","name":"Together Ai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e1286a263f6ad25ec55253ea"},"url":"https://jobsearcher.com/jobs/e1286a263f6ad25ec55253ea"}}