Staff Technical Program Manager, Deployments

Evergrid AI, Inc.; United States; Hybrid; USD 200,000 - 240,000; Full time

Benefits offered by this job

401(k) retirement plan (company match)

Paid time off

Paid holidays & leave

Equity compensation

Job summary

Evergrid is hiring a Staff Technical Program Manager for Deployments to lead end-to-end infrastructure deployment programs across new capacity launches and site expansions. You will own vendor engagement, firmware targets, and commissioning criteria, delivering first customer clusters with high conviction and measurable outcomes.

The role requires deep GPU/accelerator architecture experience, orchestration, and strong executive communication to drive cross-organizational alignment in a

Qualifications

• 7+ years as a Technical Program Manager owning infrastructure deployment programs end-to-end at a hyperscaler, GPU cloud provider, or AI infrastructure company.

Responsibilities

• Own deployment programs end-to-end for new capacity and site expansions, including hardware vendor dependencies, architecture updates, compute platform foundations, and first customer delivery.
• Define firmware targets and commissioning criteria for Deployment Phase 0, and set the DRI matrix.
• Manage cross-hardware-generation dependencies and ensure aligned engineering capacity across programs.
• Own real-time execution dashboards and deliver data-driven executive updates.
• Govern cross-organizational dependencies without escalation authority.
• Coach junior TPMs on technical depth, risk identification, and executive communication.
• Drive AI tool integration to improve program tracking, risk detection, and reporting.

Skills

GPU architecture

Firmware & BIOS

Compute orchestration

SDN & networking

Monitoring & observability

Executive updates

Cross-functional leadership

Vendor engagement

Data-driven analysis

Tools

Kubernetes

Slurm

Job description

Staff Technical Program Manager, Deployments

Location

United States

Employment Type

Full time

Location Type

Remote

Department

Cluster Operations

Staff Technical Program Manager, Deployments

Location: Remote

Employment Type: Full time

Location Type: Remote

Department: Infrastructure & Deployments

Evergrid is building the inference neocloud — frontier-level AI infrastructure powered by emerging hardware platforms for what we believe is the fourth industrial revolution. We design, deploy, and operate large-scale AI systems for research labs, hyperscalers, enterprises, and institutions, supporting training, inference, and HPC workloads at gigascale.

Our platform spans Private Clusters for customers with strict privacy and compliance requirements, a Compute Platform of managed Kubernetes, Slurm, networking, and storage, and Fleet & Infrastructure operations that keep gigascale AI factories provisioned, monitored, and healthy. With over 1GW of capacity in active development, a 12/7 engineering team held to a 12-minute response SLA, and partnerships with leading hardware manufacturers, we deliver stable capacity on schedule and at predictable cost.

We're looking for problem-solving, opportunity-finding teammates who operate with high conviction and high trust — people who see this as a chance to set the standard of excellence for the industry, not just fill a seat in it. If you want to do the most meaningful work of your career and help build the infrastructure the next generation of AI runs on, come build with us at Evergrid.

About This Role

Evergrid's TPM function is still being built, which means there is a real opportunity to shape how deployments run rather than inherit how they already work.

We are hiring a Staff TPM who will own deployment programs — standing up new capacity, expanding existing sites, and delivering infrastructure for customer clusters. Our TPMs define and drive the entire deployment engagement model, from hardware vendor engagement through first customer cluster delivery.

If you have spent your career running infrastructure deployment programs at a hyperscaler or a leading neocloud, understand GPU and accelerator architecture, and have shaped deployment frameworks rather than just operated within them, this is the role for you.

What You'll Be Working On

New Deployments

• Own the infrastructure deployment for new capacity or site expansions end-to-end: hardware vendor and OEM dependencies, architecture updates, compute platform foundations work, commissioning gate framework definition, and first customer cluster delivery as the success metric.
• Lead Deployment Phase 0 on the TPM side: define firmware version targets before kickoff, set commissioning gate criteria, and define the DRI matrix.
• Manage compounding cross-hardware-generation dependencies where active production programs run in parallel with capacity expansion projects, and prevent them from competing for the same engineering pool without a plan.

Technical Leadership

• Own real-time execution dashboards; deliver crisp, data-driven executive updates that surface decision elements without requiring follow-up.
• Govern cross-organizational dependencies without waiting for escalation authority.

Organizational Influence and TPM Function Development

• Coach more junior TPMs on technical depth, risk identification, and executive communication.
• Actively drive AI tool integration across your programs; identify where AI materially improves program tracking, risk detection, and executive communication.

What You'll Bring to the Team

Technical Foundation

• Deep, working fluency with GPU and accelerator architecture across hardware generations, firmware lifecycle (driver stacks, BIOS/BMC), compute orchestration, SDN, storage, networking (leaf-spine topology, ZTP, fabric commissioning), and monitoring/observability.
• Direct hardware partner engagement: personal ownership of GPU or OEM certification and validation timelines, not coordination feeding into someone else's relationship.
• Active daily use of AI tools to drive program-level outcomes: risk detection, dependency mapping, data analysis, and executive communication, not just personal productivity.
• 7+ years as a Technical Program Manager with a track record of owning infrastructure deployment programs end-to-end at a hyperscaler, GPU cloud provider, or AI infrastructure company, ideally with direct experience in large-scale capacity expansion projects.
• Proven ability to define deployment engagement models from scratch, not just operate within existing frameworks, and make them stick across engineering organizations that didn't ask for them.
• Track record of driving cross-organizational alignment at VP/SVP level without formal authority, including building durable alignment on programs that fall in the cracks between teams.
• Exceptional written and verbal communication for delivering clear, data-driven, decision-oriented updates to executive stakeholders.

Bonus Points

• Experience defining or substantially redesigning a commissioning gate framework for site deployments.
• Experience coaching or developing more junior TPMs in technical depth and program execution.
• Competitive compensation and equity packages
• Paid time off, paid holidays & leave of absence programs
• 401(k) Retirement plan with company match up to 4% of salary

Compensation Range

Compensation will be paid in the range of $200,000 to $240,000 + Bonus. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.

Evergrid is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Evergrid engineers monitor our infra 24/7, with a 12-minute response SLA and dedicated point of contact.

Advanced Hardware

We offer the latest emerging hardware, working with manufacturers to optimize deployments.

Capacity at Scale

With over 1GW of capacity under development, we are ready to meet enterprise requirements at scale.