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Capacity Manager, Programs

Baseten· G&A
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Hybrid (San Francisco)$265k - $285kFull-timePosted 1mo ago

About the role

Capacity Manager for on-premises data center builds and neo cloud delivery programs at Baseten, overseeing end-to-end delivery lifecycle of large-scale compute infrastructure across multiple sites and vendors.

Responsibilities

  • Own delivery of on-prem infrastructure builds — colocation expansions, power/cooling readiness, rack-and-stack, network fabric bring-up, and hardware acceptance testing — coordinating across colo providers and partners, network engineering, hardware ops, and vendor teams.
  • Drive neo cloud delivery programs — manage capacity delivery from GPU cloud and neo cloud partners (e.g., colocation/bare-metal/GPU cloud providers), including contract milestones, capacity ramps, SLAs, and go-live readiness.
  • Build and maintain master delivery schedules across concurrent, multi-site, multi-vendor programs, integrating power/shell timelines, hardware lead times, logistics, and software/platform readiness into a single critical path.
  • Manage cross-functional stakeholders — engineering, data center operations, procurement, finance, legal, and executive leadership — translating technical dependencies into clear program status, risks, and decisions.
  • Own vendor and partner relationships for infrastructure delivery, including neo cloud providers, colocation partners, hardware OEMs, and logistics/installation contractors; hold partners accountable to contractual delivery commitments.
  • Run risk and dependency management — identify critical path risks (power availability, hardware lead times, permitting, supply chain), drive mitigation, and escalate proactively rather than reactively.
  • Establish delivery governance — standardized program frameworks, milestone definitions, RAID logs, capacity tracking, and reporting cadences (weekly ops reviews, executive/board-level updates).
  • Drive capacity planning alignment — partner with demand/capacity planning teams to ensure delivery timelines match business commitments (customer contracts, internal growth targets).
  • Lead post-mortems and continuous improvement — after major builds or delivery milestones, drive retrospectives that improve cost, speed, and predictability of future builds.

Qualifications

  • 8+ years in technical program management, delivery management, or infrastructure program leadership, with at least 3+ years managing large-scale physical infrastructure or data center delivery programs.
  • Demonstrated experience delivering on-prem data center builds (power, cooling, network, rack-and-stack) from planning through go-live.
  • Direct experience with GPU cloud / neo cloud capacity delivery: understanding of GPU cluster architectures (e.g., InfiniBand/RoCE fabrics, rack power density, liquid cooling considerations) and the commercial/operational mechanics of capacity contracts with neo cloud or colocation providers.
  • Track record managing complex, multi-vendor, multi-workstream programs with hard external deadlines and significant financial/business exposure.
  • Strong executive communication skills. Able to distill complex technical/operational risk into clear, decision-ready updates for senior leadership.
  • Proven vendor/partner management experience, including negotiating delivery commitments and holding partners accountable.
  • Comfortable operating with ambiguity in a fast-moving, high-growth environment. Bias toward action and structured problem-solving.

Skills

Required:Technical program managementLarge-scale data center deliveryGPU cloud / neo cloud capacity delivery

Benefits

  • Competitive compensation, including meaningful equity
  • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • (U.S. only) Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Baseten

Inference is everything

Effortlessly serve optimized open source & custom models on the fastest, most reliable model delivery network.

AICloud InfrastructureDeveloper ToolsInference PlatformMachine LearningModel DeploymentModel Runtimesai-infrastructure-and-development
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