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.
- 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.
- $148,000 - $186,000
*This is a hybrid role
JR: 2026-7922
#LI-Hybrid
- 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.
Skills Required
- 10+ years of experience as a Technical Program Manager coordinating hardware, facilities, or data center infrastructure projects
- Strong understanding of hardware deployment workflows (cloud provider, colocation, or AI company experience preferred)
- Familiarity with basic data center concepts (rack space, power limits, cooling requirements)
- Solid grasp of the procurement lifecycle including order tracking, demand forecasting, and managing long lead times
- Basic familiarity with AI/ML hardware space and differences between training and inference deployments
- Experience coordinating with external vendors, colocation facility managers, or remote hands
- Strong risk management skills with ability to identify and mitigate deployment risks
- Cross-functional teamwork capability bridging technical and operational teams
- Proficiency in project management tooling and ticketing systems to track deployments and inventory
- Excellent communication and organization skills in fast-moving environments
DigitalOcean Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes medical, dental, vision, and mental-health support plus employer-paid life/AD&D/disability, with multiple plan options and above-average employer contributions. Offerings are described as market-leading and in some cases fully paid to keep premiums low.
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Equity Value & Accessibility — Equity awards (new-hire and performance RSUs) are paired with an Employee Stock Purchase Plan offered at a discount. This ownership component augments cash compensation and broadens participation in company growth.
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Parental & Family Support — Paid parental leave is provided for a defined period and includes a structured, part-time transition-back program. The approach emphasizes a smoother return-to-work experience for new parents.
DigitalOcean Insights
What We Do
DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.
Why Work With Us
At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.
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Employees work remotely.
We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.
