INTRODUCTION

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.

We are looking for a Lead Technical Program Manager to lead the data center build-outs for our high-density GPUs. You will be a driving force between hardware vendors, Data Center Architects, and the end to end oversight of doing a GPU Deployment. You'll join a fast-paced team dedicated to scaling our Agentic AI Cloud, making sure our physical hardware is deployed quickly and correctly to meet our customers' heavy compute needs.

What You'll Be Doing:

• Support hardware deployment projects for high-density GPU clusters, coordinating the steps from early site planning all the way through the final rack-and-stack.
• Manage hardware delivery schedules tracking vendor lead times and working closely with the supply chain team to ensure servers and equipment arrive at the data center exactly when needed.
• Coordinate physical installations by partnering with colocation providers, remote hands, and internal networking teams to make sure space, power, and cables are prepped before hardware arrives.
• Act as the central hub of communication keeping supply chain, facilities, hardware engineers, and outside vendors aligned to keep deployment schedules on track.
• Help translate customer AI needs like the difference between building for training versus inference into clear deployment plans for our hardware and facility teams.
• Build repeatable deployment processes identifying logistical roadblocks and fixing them so we can consistently get new GPUs online faster.

What We'll Expect From You:

• 10+ years of experience as a Technical Program Manager, successfully coordinating hardware, facilities, or data center infrastructure projects.
• Strong understanding of hardware deployment workflows, ideally from working at a cloud provider, colocation facility, or specialized AI company.
• Familiarity with basic data center concepts, meaning you understand the fundamentals of rack space, power limits, and cooling requirements needed for dense AI hardware.
• A solid grasp of the procurement lifecycle, including tracking orders, forecasting demand, and managing long lead times to ensure hardware shows up on time.
• Basic familiarity with the AI/ML hardware space, understanding why customers use GPUs and the high-level physical differences required for training versus inference workloads.
• Experience with external vendor coordination, effectively working with colocation facility managers or remote hands to guide physical work happening off-site.
• Strong risk management skills, with a proven ability to spot deployment risks early, whether it is a delayed hardware shipment or a facility constraint, and build plans to keep the project moving.
• Cross-functional teamwork capabilities, acting as a reliable bridge between deeply technical teams (like network and data center engineering) and operational teams (like supply chain).
• Proficiency in project management tooling, feeling comfortable using standard tracking and ticketing systems to document deployment steps, track hardware inventory, and report on progress.
• Excellent communication and organization skills, with a proven ability to bring order to fast-moving environments and keep diverse teams focused on a shared timeline.

Compensation Range:

This position will be evaluating candidates for Lead Technical Program Manager / Staff Technical Program Manager based on prior experience

• Lead Technical Program Manager role, the base salary range will be $148,800 - $186,000
• Staff Technical Program Manager role, the base salary range will be $173,000 - $217,000

This is a hybrid role

JR: 2026-7921

LI-Hybrid

Why You'll Like Working for DigitalOcean

• We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
• We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
• We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
• We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.

DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.