Senior Technical Program Manager (5x Openings)

Volta

• $150K — $180K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience in delivering complex data center infrastructure or large-scale GPU/AI deployments.
  • Proven experience bridging construction handover with cluster deployment processes.
  • Hands-on experience with GPU cluster deployment, preferably NVIDIA infrastructure.
  • Strong understanding of AI/GPU infrastructure including power, cooling, and networking.
  • Ability to read and operationalize highly technical specifications and documents.

Responsibilities

  • Own end-to-end delivery of GPU cluster activations and infrastructure programs.
  • Drive multi-threaded bring-up efforts across hardware, networking, and cooling systems.
  • Coordinate cross-functional teams including vendors and contractor partners.
  • Anticipate and resolve blockers arising from technical sequencing.
  • Manage vendor relationships and hold teams accountable across the deployment lifecycle.
  • Partner with engineering to enhance cluster reliability and reduce time-to-serve.
  • Support on-site deployment and physical logistics, including cabling and coordination.

Benefits

  • Equity opportunities to share in the company's long-term success.
  • Retirement/pension contributions to support future financial security.
  • Comprehensive health, wellbeing, and insurance benefits for employee care.
  • Generous vacation policy to encourage a healthy work-life balance.
Full Job Description
About The Role

As a Technical Program Manager for GPU and Data Center Deployments, you will own end-to-end program delivery for bringing data center infrastructure and AI clusters online. You will operate in a highly ambiguous environment, coordinating across construction, infrastructure, networking, systems engineering, procurement, and operations - driving execution from planning through operational handoff.

This is an ownership role. You will be expected to move programs forward with incomplete information, surface and resolve gaps before they become blockers, and hold multiple workstreams accountable across time zones and organizational boundaries. The best candidates bring deep experience at the intersection of data center construction handover and AI/GPU hardware deployment. You know how construction sequences impact infrastructure readiness, how ICT and CDU work intersect, and how to drive multi-threaded bring-up programs spanning hardware, networking, power, and cooling.

What You'll Do

Program Delivery & Execution
  • Own end-to-end delivery of GPU cluster activations and data center infrastructure programs, from initial strategic planning through operational handoff.
  • Drive multi-threaded bring-up programs spanning hardware, networking, power, and cooling - owning plans, dependencies, and critical paths.
  • Coordinate cross-functional teams responsible for construction, infrastructure, network, hardware, ICT, commissioning, and operations, including vendor and contractor partners.
  • Anticipate downstream impacts of technical sequencing decisions on capacity, schedule, and cluster performance; identify and resolve blockers before they surface.
  • Manage and hold accountable vendors, integration contractors, and third-party service providers across the full deployment lifecycle.
  • Partner with engineering to improve cluster turn-up reliability, repeatability, and automation - reducing time-to-serve for new capacity.
  • Support network operations and end-to-end physical and logical bring-up, including on-site deployment, rack cabling, and coordination with engineering teams.
  • Maintain momentum through changing requirements, tight timelines, and cross-time-zone execution.

Stakeholder & Executive Communication
  • Influence senior executive and c-suite strategic approaches.
  • Deliver crisp executive-level program status briefings covering schedule health, risks, key decisions, and escalation paths across a broad portfolio of concurrent programs.
  • Translate complex technical requirements - from highly detailed customer RFPs, integration specs, and architecture documents - into actionable plans for engineering, finance, and marketing stakeholders.
  • Serve as the primary cross-functional point of contact between engineering, operations, customers, and leadership; code-switch fluently between deeply technical and business-facing audiences.
  • Interface with chip and hardware providers to derisk onboarding to new platforms across compute, networking, and cooling stacks.
  • Facilitate alignment across stakeholders at all levels - from network engineers to C-suite - with confidence, clarity, and no ego.

Program Infrastructure & Process
  • Build and operationalize program mechanisms - roadmaps, milestones, risk registers, RACI matrices, decision logs, and deployment runbooks - that make delivery predictable at scale.
  • Establish and maintain a single source of truth for all active programs using tools such as Smartsheet, Confluence, Jira, and Notion.
  • Identify bottlenecks and systemic gaps, then drive durable fixes across tooling, process, and partner interfaces.
  • Develop scalable playbooks and governance frameworks that create accountability without creating overhead as Volta's deployment footprint grows rapidly.
  • Champion automation and digital workflows to eliminate manual effort across the program lifecycle.


What You'll Bring

Required
  • 5+ years of experience delivering complex data center physical infrastructure programs or large-scale GPU/AI cluster deployments in fast-moving environments.
  • Demonstrated experience bridging construction handover and cluster deployment - candidates who are network-only or construction-only will not be a fit.
  • Hands-on GPU deployment experience, including:
  • GPU cluster deployment and activation (NVIDIA infrastructure preferred)
  • Full-stack secure AI factory deployment across compute, networking, storage, and security layers
  • Ability to read, interpret, and operationalize highly technical customer and vendor specifications
  • Strong understanding of AI/GPU infrastructure including power density, cooling (CDU/DLC), networking, and deployment sequencing.
  • Familiarity with how construction, low-voltage, and commissioning activities affect deployment readiness and sequencing.
  • Proven ability to lead through influence - you don't own the execution teams, but you are accountable for delivery outcomes.
  • Proven ability to manage vendor and contractor relationships, including understanding schedule and reputational risks.
  • Ability to develop and present executive-level program status, risk summaries, and key decisions to senior leadership and cross-functional stakeholders.
  • Excellent communication and stakeholder alignment skills - able to ensure teams at all levels understand priorities and dependencies.
  • Relentlessly resourceful: you thrive in ambiguous, fast-paced environments and drive execution beyond your defined scope without being directed to do so.
  • Startup or scale-up experience alongside enterprise pedigree is strongly preferred - candidates who have operated at both ends of that spectrum understand the range of environments this role will demand.

Preferred
  • Degree in a hard science, engineering, or a demonstrated track record of technical depth in comparable work.
  • Experience delivering programs across multiple concurrent sites or regions, including EMEA, with staggered milestones.
  • Experience managing long-lead procurement processes and hardware supply chain constraints that affect deployment timelines.
  • Background at a Fortune 100 infrastructure company (NVIDIA, Intel, Dell, Cisco, Verizon, AT&T) combined with startup or scale-up experience.
  • Experience managing BPO or contract labor pools during large-scale hardware deployment phases.
  • Automation-first mindset with experience identifying and implementing process improvements at scale.
  • DCD, PMP, CDCPM, CDCMP, CDCP, or comparable certification(s).


Who You Are
  • You have operated in highly ambiguous, fast-moving environments and know how to prioritize ruthlessly without losing sight of the long-term picture.
  • You have startup instincts - you fill gaps, take initiative, and drive execution beyond your defined scope before anyone asks you to.
  • You have enough confidence to hold the room and none of the ego that slows the work down.
  • You are not a 9-to-5 operator. Global infrastructure programs run across time zones - you know how to chase the sun.
  • You have built the business case, secured buy-in from technical stakeholders, and presented to executive decision-makers who pushed back hard.
  • You bring a strong execution mindset with the ability to balance speed, quality, and risk - and you make decisions with data, not assumptions.
  • You are interested in and thoughtful about the impact of AI infrastructure on the world.


What We Offer

At Volta, we believe people do their best work when they feel supported, trusted and able to grow. We're building a company where you can make an impact, keep a healthy balance between work and life, and build a career you're proud of.
As a global team, we do our best to provide great benefits wherever you're based. While some benefits vary by country due to local regulations, we believe looking after our people is simply the right thing to do.
  • Competitive salary based on the work you do here, not your previous salary
  • Equity in Volta, giving you the opportunity to share in the company's long-term success
  • Retirement/pension contributions
  • Comprehensive health, wellbeing and insurance benefits
  • Generous number of vacation days each year


Additional Information

Background Checks

All offers of employment at Volta are conditional on the satisfactory completion of pre-employment screening, which includes confirmation of your right to work, verification of your employment history and a criminal record check, where this is permitted by local law. Screening is carried out by Zinc, an accredited third-party provider, after an offer is made and all information is handled confidentially and in accordance with applicable data protection law.

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