Senior Program Manager, Data Center Delivery
United States · Remote · Full-time
- Posted 1mo ago
- From Together AI’s careers page
- Location
- United States
- Work mode
- Remote
- Type
- Full-time
- Level
- Senior
- Experience
- 7+ years
- Department
- Project and Program Management
Opens the listing on job-boards.greenhouse.io
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About the role
About The Role
Together AI is scaling its own data center infrastructure to power the next generation of AI workloads. We are looking for a Program Manager, Data Center Delivery to serve as our representative across our physical infrastructure builds. In this role, you will manage critical data center builds, coordinate infrastructure deployment, and drive projects from contract negotiation through commissioning and data center fit out with vendors and strategic partners. You will own the full deployment lifecycle, ensuring builds are delivered on time, on budget, and to the quality standards required for high-density AI compute environments.
Responsibilities
- Serve as Together’s representative on data center construction and expansion projects, managing data center providers, sub-contractors, compute integration partners, and strategic infrastructure alliances with cloud providers and technology partners from inception through deployment.
- Oversee full-stack deployment, from MEP installation, white space commissioning, facility readiness, white space fit out, and turnover to operations teams.
- Manage the performance of integration partners (VARs/CI’s) regarding staging and validation.
- Manage partner contracts and collaborative technical partners, service level agreements (SLAs), schedules, and change orders; track progress against milestones and hold partners accountable to performance, cost, and timeline commitments.
- Conduct diligence on vendor and partner operational readiness.
- Coordinate with external partners, including data center providers, owner’s reps, GCs, design consultants, and commissioning agents, to resolve field issues and keep builds on track.
- Track equipment deliveries from vendors, coordinating delivery schedules with construction milestones to ensure materials arrive on time.
- Provide regular project status reporting to leadership, including schedule updates, risk registers, budget forecasts, and key decision points.
- Drive process improvements across the data center build-out and infrastructure deployment program, establishing scalable workflows for tracking, documentation, and vendor management as the portfolio of builds grows.
- Ensure all deployment activities comply with codes, security policies, and safety standards.
Requirements
- 7+ years of experience in technical project or program management or construction management, with at least 5 years focused on data center, mission-critical, or high-density infrastructure builds.
- Direct experience managing data center providers or general contractors on behalf of an owner or developer, including contract administration, schedule oversight, and scope amendment.
- Experience managing high-density compute deployments, including cluster-level cabling, rack-level power distribution, and OEM/ODM staging workflows.
- Strong understanding of data center MEP systems, data hall fit out, structured cabling, and white space delivery.
- Experience managing multi-million infrastructure budgets and tracking costs and timelines across multiple concurrent projects.
- Excellent communication skills with the ability to translate technical construction and delivery details for non-technical stakeholders and senior leadership.
- Familiarity with high-density GPU compute environments, liquid cooling systems, or AI infrastructure requirements.
- Bachelor’s degree in Construction Management, Engineering, Architecture, Business or a related field.
- PMP certification or equivalent project management credential.
Nice to Have
- Experience with fast-track or modular delivery methods for data center or mission-critical facilities.
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About Together AI
Cloud infrastructure for open-source AITogether AI provides cloud infrastructure, models, inference, and tools for developing and running AI applications.
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