Senior Technical Project Manager, Data Center Deployments

About this role

About Us

Gimlet is building the first multi-silicon neocloud designed for fast, efficient inference.

As AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough. The challenge is making increasingly diverse compute work together.

Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency. Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization.

We work with foundation labs, hyperscalers, and AI-native companies to power production workloads at massive scale and help define the infrastructure layer for the future of AI.

ABOUT THE ROLE

We are seeking a Senior Technical Project Manager, Data Center Deployments to lead cross-functional execution, escalation management, and deployment readiness tracking for complex infrastructure programs. This role will coordinate across engineering, supply chain, vendors, deployment teams, operations, and leadership to ensure infrastructure initiatives stay aligned, risks are surfaced early, and blockers are driven to resolution.

The ideal candidate is highly organized, technically fluent, and comfortable operating in fast-moving environments where timelines, vendor dependencies, hardware availability, operational issues, and infrastructure readiness must be tightly managed.

WHAT YOU WILL WORK ON

- Build and lead end-to-end project management for AI data center infrastructure deployment programs, from planning through execution and readiness validation.

- Own integrated deployment plans, milestone trackers, risk logs, dependency maps, and executive status reporting.

- Drive readiness tracking across hardware, networking, cabling, site readiness, staffing, logistics, vendor deliverables, and operational dependencies.

- Align engineering, supply chain, procurement, logistics, operations, deployment, finance, external vendors, and customers around execution priorities.

- Manage vendor commitments, delivery timelines, issue follow-up, dependency tracking, and performance visibility.

- Identify timeline risks, supply chain gaps, readiness blockers, and vendor slippage early; coordinate mitigation plans with accountable owners.

- Facilitate cross-functional readiness reviews to unblock issues, confirm decisions, and maintain execution momentum.

- Communicate status, risks, decisions, and escalation needs clearly to technical teams and senior leadership.

- Drive operational issue resolution by clarifying ownership, setting action plans, and following through to closure.

YOU MAY BE A GOOD FIT IF

- Experience in technical project management, program management, infrastructure operations, deployment management, or a related role.

- Proven ability to coordinate across hardware vendors, colocation partners, customers, suppliers, logistics, engineering, and deployment operations.

- Working knowledge of power budgeting, rack configuration, GPU cluster networking, and infrastructure deployment dependencies.

- Strong understanding of hardware readiness, supply chain timing, vendor commitments, and operational execution.

- Ability to manage competing priorities, ambiguous blockers, and rapidly changing timelines.

- Excellent written and verbal communication skills, including executive-level status reporting.

- Strong analytical and organizational skills, with experience using project management and reporting tools.

STRONG CANDIDATES WILL ALSO HAVE

- Experience with data center deployments, infrastructure builds, hardware rollouts, networking equipment, cabling, GPU clusters, or server environments.

- Familiarity with supply chain constraints, vendor lead times, procurement workflows, and deployment readiness gates.

- PMP, PgMP, Scrum, Agile, or similar project/program management certification.

- Experience supporting global infrastructure programs or multi-site deployments.

Why join now?

Gimlet is at the very beginning of its journey, and that's what makes this moment special. Most AI infrastructure companies are focused on deploying more compute. We are focused on making increasingly diverse compute work together, and that ambition touches every part of how we build and run this company.

As an early member of the team, you will have significant ownership over your work, partner directly with a small group of highly capable people, and help shape not just what we build, but how we scale the company.

We value people who are excited to work across domains, take ownership of meaningful problems, and help define what Gimlet becomes over the next several years.

Agency Policy: Gimlet Labs does not accept unsolicited resumes from recruitment agencies or search firms. Any unsolicited resumes submitted without a signed agreement will be considered the property of Gimlet Labs, and no fees will be paid.

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