Senior Manager, Technical Program Management, Data Center Build and Design

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

The Senior Manager, Technical Program Management, Data Center Build and Design is the program leadership seat for how TensorWave builds data centers.

You will lead the Technical Program Management team responsible for data center design and build delivery across our largest campuses, the 100 MW and above deployments that carry the majority of our committed capacity. You own the delivery framework that governs every site: a thirteen gate structure that runs from site qualification through basis of design, design freeze, permitting and long lead commitment, construction mobilization, substantial completion, energization, commissioning, turnover to operations, and into revenue service.

The engineering belongs to Construction Engineering and Design, MEP Engineering, and Operations. The general contractors, colocation partners, and vendor bench execute the work. You own the program: the integrated schedule, the cross-organizational dependencies, the gate packages, the risk register, and the honest status. This is a maximum leverage, minimum direct authority role. Your influence comes from cadence, written discipline, and being the person in the room whose read on the schedule everyone trusts.

You will also build the team. This seat manages a group of TPMs, with a target model of a dedicated program manager anchored to each campus delivering 100 MW or more, and you are accountable for hiring them, leveling them, and developing them into a bench that scales as the portfolio does.

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• 8 to 12 years in technical program management or delivery leadership, with at least 2 to 3 years managing people.

• Direct ownership of data center design and construction delivery at scale. Multiple concurrent sites, or a large multi-phase campus, taken from design through commissioning and into service.

• Demonstrated command of stage gate delivery governance. You have run a gate framework, and ideally built or materially rebuilt one, with written entry criteria and decision records rather than status meetings.

• Personal fluency in schedule logic at Primavera P6 grade or equivalent, critical path analysis, risk register discipline, and decision logs. You do not delegate the truth of the schedule to a coordinator.

• Working depth across data center infrastructure: power architecture (utility feeds, generators, UPS, switchgear, PDU, busway), cooling including liquid cooling for high density deployments, structured cabling and fiber plant, and commissioning level structures from factory acceptance through integrated systems testing.

• Track record of moving engineering organizations, general contractors, and vendors you do not control. Influence without authority is the core mechanic of this role.

• Proven ability to build, develop, and retain a team of program managers.

• Executive communication that leads with the conclusion. You escalate early, in writing, with a recommendation attached.

• Expect regular travel to your assigned construction site, at minimum monthly, with extended on-site presence during energization and commissioning windows. Estimated travel is 30 to 40 percent, weighted toward critical delivery milestones.

• CDCDP, CDCP, or equivalent formal data center certification.

• Experience delivering AI density whitespace: high kW per rack halls, direct liquid cooling integration, and pod to power granularity trade-offs.

• Hyperscale, GPU cloud, or AI infrastructure background, particularly inside an organization scaling through hypergrowth.

• Experience with both greenfield builds and colocation tenant deployments, including landlord interface management.

• Experience standing up a program management function rather than inheriting a mature one.

• Familiarity with GPU cluster deployment: rack integration, network fabric bring-up, node burn-in, and validation testing.

• Candidates based near our Las Vegas or Richmond hubs are preferred.

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.

All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

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