Senior Program Manager, Data Center Delivery
Together AI · Remote
CHECKED 2H AGO
Infrastructureremotesenior$190k–$240k
At a glance
Highlights
- Lead ground-up data center builds powering next-generation AI workloads.
- Own full deployment lifecycle from contract negotiation to commissioning.
- Serve as owner's rep driving builds on time, on budget, and to quality.
What they offer
- competitive compensation
- startup equity
- health insurance
- other benefits
- flexibility in terms of remote work
Ideal candidate
Seasoned mission-critical builder who thrives owning complex data center deliveries end-to-end and holding partners accountable. You communicate clearly with executives and care about delivering high-quality AI infrastructure on time and budget.
Requirements
- 7+ years in technical project/program or construction management, with at least 5 years on data center or mission-critical builds
- Direct experience managing data center providers or GCs as owner/developer rep, including contracts, schedules, and scope changes
- Experience managing high-density compute deployments including cluster cabling, rack power, and OEM/ODM staging
- Strong understanding of data center MEP systems, data hall fit-out, structured cabling, and white space delivery
- Experience managing multi-million-dollar infrastructure budgets across multiple concurrent projects
- Excellent communication skills translating technical delivery details for non-technical and senior stakeholders
- Familiarity with high-density GPU, liquid cooling, or AI infrastructure requirements
- Bachelor's degree in Construction Management, Engineering, Architecture, Business or related field
- PMP certification or equivalent project management credential
- remote policy
- flexibility in terms of remote work
Lab profile
About Together AI
AI-native cloud for training and inference on large-scale GPU infrastructure for AI apps and agents.
What they build
- AI-native cloud platform
- GPU clusters for training and inference
- Platform for AI applications and agents
Known for
- Operating large-scale GPU fleets
- Automated infrastructure at massive scale
- Multi-site data center deployment
Key facts
- Over 1M developers
- Operates one of the world's largest GPU fleets
- Infrastructure managing tens of thousands of GPUs