Staff Technical Program Manager - Product Management

Posted Yesterday
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Seattle, WA, USA
Hybrid
175K-217K Annually
Expert/Leader
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
Leads complex technical infrastructure programs spanning data center build-outs, hardware deployment, capacity planning, and AI cloud infrastructure. Partners with Product, Engineering, supply chain, facilities, vendors, and networking teams to manage delivery, risks, dependencies, scope changes, and stakeholder communication. Builds scalable processes, coordinates off-site physical work, drives consensus, and improves program execution across global locations.
Summary Generated by Built In

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 want people who are passionate about enabling the teams they work with to effectively and efficiently deliver value in line with the DO vision.

As a Staff Technical Program Manager on the Product Management team, you will drive value delivery for a set of technical programs that bring our cloud and AI infrastructure to life — spanning data center build-outs, hardware deployment, and capacity across our global fleet. This individual will be an experienced cross-functional leader who champions continuous improvement and thrives in a fast-paced environment, applying technical literacy along with program management experience to navigate delivering on commitments as a leader on their team.

In this role, you will partner with Product, Engineering, and infrastructure leaders to drive the delivery of valuable, often complex, technical programs that scale our Agentic AI Cloud and meet our customers’ heavy compute needs. You will be the connective tissue across supply chain, facilities, hardware engineering, and outside vendors — embodying servant leadership to ensure efficient, effective value delivery. You will be a proactive collaborator while driving consensus where needed and influencing decisions when teams are stuck.

What You’ll Do:
  • Drive value delivery for major infrastructure programs — spanning data center build-outs, hardware deployment, and capacity — including prioritization, planning, risk management, execution, and measurement of success
  • Partner with Product, Engineering, and infrastructure leaders, including senior leaders, throughout the life of the program on value delivery and process/practice improvements
  • Act as the central hub of communication, keeping supply chain, facilities, hardware engineers, and outside vendors aligned to keep schedules on track
  • Coordinate the steps from early site and capacity planning through final deployment, partnering with colocation providers, remote hands, and internal networking teams
  • Drive decision-making across multiple teams, orgs, and stakeholders spanning multiple locations, including with senior leaders
  • Proactively manage changes in scope and priority shifts; recognize risk early — whether a delayed hardware shipment or a facility constraint — and form mitigation plans as required
  • Build repeatable, scalable processes — and the visibility and operational infrastructure behind them — that get infrastructure online faster, improve reliability, and ensure effective, sustainable operations across teams and orgs
  • Evangelize technical project & program management best practices within their team and across partner teams and orgs
What You’ll Add to DigitalOcean:
  • 10+ years of experience as a Technical Program Manager delivering cross-functional programs in a fast-paced environment, with a preference for experience in infrastructure, hardware, facilities, or data center projects
  • Proven track record planning and delivering complex programs, leading the resolution of blocking issues, and driving effective change management
  • Familiarity with data center and hardware fundamentals — rack space, power, cooling, and deployment workflows — and the procurement lifecycle, including forecasting demand and managing long lead times
  • Basic familiarity with the AI/ML hardware space, including why customers use GPUs and the high-level differences between training and inference workloads
  • Experience coordinating external vendors, colocation facilities, and remote hands to guide physical work happening off-site
  • Strong risk management skills, with a proven ability to spot risks early — a delayed shipment or a facility constraint — and build plans to keep programs moving
  • Ability to influence and work through others where direct reporting relationships do not exist, acting as a reliable bridge between deeply technical teams and operational teams
  • Ability to distill complex or technical concepts into clear, structured communications and action plans
  • Ability to balance a detail- and process-oriented mindset with a focus on outcomes
  • Experience with project management tooling (e.g., the Atlassian suite — Jira and Confluence) for managing the flow of value and delivering curated information to appropriate stakeholders
  • Embraces AI as a force multiplier — using AI tools to work faster and smarter, with a continuous eye for where AI can improve how programs get delivered and how the team operates
  • A growth mindset that prioritizes learning and improvement for yourself and the teams you work with
Compensation Range: 
  • $175,000 - $217,000

*This is a hybrid role

JR: 2026-8241

#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.

Skills Required

  • 10+ years of experience as a Technical Program Manager delivering cross-functional programs
  • Experience planning and delivering complex programs, resolving blocking issues, and driving change management
  • Experience in infrastructure, hardware, facilities, or data center projects
  • Familiarity with data center and hardware fundamentals, including rack space, power, cooling, and deployment workflows
  • Familiarity with the procurement lifecycle, demand forecasting, and long lead-time management
  • Basic familiarity with AI/ML hardware, GPUs, and training versus inference workloads
  • Experience coordinating external vendors, colocation facilities, and remote hands
  • Strong risk management skills, including identifying risks and developing mitigation plans
  • Ability to influence stakeholders without direct reporting relationships
  • Ability to translate technical concepts into clear communications and action plans
  • Ability to balance process orientation with outcome focus
  • Experience using project management tools such as Jira and Confluence
  • Ability and willingness to use AI tools to improve program delivery and team operations
  • Growth mindset focused on continuous learning and improvement

What the Team is Saying

DigitalOcean Compensation & Benefits Highlights

  • Healthcare Strength Health coverage is described as market‑leading across medical, dental, vision, and mental health, with above‑average employer contributions and 100% employer‑paid life, AD&D, and disability insurance. Some materials note fully paid health benefits for employees in certain locations, though details vary by region.
  • Equity Value & Accessibility Employees are offered company equity alongside an Employee Stock Purchase Plan (ESPP) that enables discounted share purchases, with references to performance equity grants as part of total rewards. This ownership component complements competitive cash pay and bonuses highlighted in company materials.
  • Parental & Family Support Parental benefits are positioned as above‑average, with references to fully paid parental leave (e.g., 10 weeks in newer listings) and a part‑time transition‑back program. Fertility and parenthood support such as Carrot is also called out.

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The Company
HQ: Broomfield, CO
1,400 Employees
Year Founded: 2012

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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DigitalOcean Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

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.

Typical time on-site: Not Specified
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HQBroomfield, CO
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Seattle, WA
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Hyderabad, Telangana
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