Staff Technical Program Manager - Cloud Capacity & Engineering Ops

Posted Yesterday
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Boston, MA, USA
In-Office
174K-217K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
DigitalOcean is the Inference Cloud built for production AI.
The Role
Lead critical infrastructure scaling and capacity programs, ensuring alignment with business priorities and technical execution across teams.
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’re looking for a Staff Technical Program Manager to lead some of our most critical infrastructure scaling and capacity programs. This role sits at the heart of how DigitalOcean grows—ensuring we can meet customer demand with the right infrastructure, delivered efficiently and at scale.

You will operate at a strategic and executional level, partnering across Engineering, Product, Finance, and Data Center Operations to drive capacity planning and infrastructure investments across our global footprint. This is a high-impact role for a program leader who can connect business priorities with technical execution and influence decisions at the highest levels.

What You’ll Be Doing:
  • Own and drive large-scale programs focused on infrastructure scaling and global capacity expansion.
  • Plan and execute high-impact programs, such as the consolidation of small, expensive Data Centers into larger, more cost-effective sites.
  • Drive resource optimization initiatives, including harvesting unutilized memory and drives from deployed servers in DigitalOcean’s Data Centers for use in building new servers.
  • Translate product growth and business demand into clear, actionable capacity and infrastructure plans.
  • Partner with Finance, Product, and Engineering to align on forecasting, investment strategy, and prioritization of projects focused on scale.
  • Lead cross-functional execution across Data Center Operations, Supply Chain, and Infrastructure Engineering.
  • Proactively identify risks (supply constraints, deployment delays, forecast gaps) and drive mitigation strategies.
  • Establish and evolve frameworks for capacity planning, utilization tracking, and forecasting accuracy.
  • Drive executive-level alignment on tradeoffs between cost, performance, and availability.
  • Improve systems, tooling, and processes to enable scalable and repeatable infrastructure planning.
  • Deliver clear, data-driven insights to inform strategic decisions and long-term infrastructure investments.
What We’ll Expect From You:
  • 8+ years of experience in Technical Program Management or related roles in cloud infrastructure, data centers, or distributed systems.
  • Proven track record of leading complex, cross-functional programs with high business impact.
  • Strong understanding of infrastructure systems (compute, storage, networking) and how they scale.
  • Experience with capacity planning, forecasting, or supply/demand management in a technical environment.
  • Ability to operate at both strategic and execution levels, influencing senior stakeholders and driving alignment.
  • Strong analytical mindset with experience using data to inform decisions and drive outcomes.
  • Exceptional communication skills with the ability to simplify complex topics for diverse audiences.
  • Comfort navigating ambiguity and driving clarity in fast-moving environments.
  • Bachelor’s degree or higher in a technical or business-related field.
Nice to Have:
  • Experience with data center operations, hardware supply chain, or global infrastructure deployment.
  • Familiarity with capacity modeling, forecasting tools, or infrastructure planning systems.
  • Experience in high-growth or hyperscale cloud environments.
Compensation Range: 
  • $173,600.00 - $217,000

*This is a remote role

JR: 2026-7735

#LI-Remote

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.

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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

Remote Workspace

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.

Typical time on-site:
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HQBroomfield, CO
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Santa Clara, CA
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