Technical Program Manager

DigitalOcean

Seattle (WA)

Hybrid

USD 149,000 - 186,000

Full time

2 days ago
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Job summary

DigitalOcean in Seattle, WA is seeking a Technical Program Manager to drive value delivery for major Agentic AI programs, coordinating with product, engineering, and AI research leaders to keep programs on track. You will manage risk, orchestration across multi-location teams, and governance for scalable AI capabilities, using Jira/Confluence and agentic frameworks to ship faster and reliably.

This hybrid role offers a competitive compensation package and equity, with a focus on AI tooling and

Qualifications

  • 10+ years as a Technical Program Manager delivering cross-functional programs in AI/ML or platform engineering.
  • Strong track record planning, blocking issues resolution and change management.
  • Experience coordinating external model providers and API partners.

Responsibilities

  • Drive value delivery for major AI programs across model integration and tooling.
  • Partner with Product, Engineering and AI research leaders to plan and measure success.
  • Act as a central hub aligning model teams, platform engineers and partners.
  • Coordinate steps from prototyping to production deployment with cross-organization teams.
  • Drive risk management and mitigation plans for scope changes and latency constraints.
  • Build scalable processes and governance to accelerate AI capability delivery.

Skills

Technical Program Management
AI/ML platform work
Cross-functional leadership
Risk management
Communication skills
Vendor coordination
Strategic planning
Project tooling (JiraConfluence)

Tools

Jira
Confluence
LangChain
LlamaIndex

Job description

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.

What You’ll Do
  • Drive value delivery for major Agentic AI programs — spanning model integrations, agentic framework development, AI platform capabilities, and developer tooling — including prioritization, planning, risk management, execution, and measurement of success
  • Partner with Product, Engineering, and AI research 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 model teams, platform engineers, developer experience teams, and external AI partners aligned to keep programs on track
  • Coordinate the steps from early capability planning and prototyping through production deployment, partnering with model providers, inference infrastructure teams, and internal platform 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 model capability gap, a latency constraint, or a shifting API dependency — and form mitigation plans as required
  • Build repeatable, scalable processes — and the visibility and operational infrastructure behind them — that get AI capabilities to market 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 AI/ML, platform engineering, or developer tooling
  • Proven track record planning and delivering complex programs, leading the resolution of blocking issues, and driving effective change management
  • Solid understanding of AI/ML fundamentals — model training vs. inference, agentic architectures, LLM APIs, and the emerging landscape of AI developer tooling — and how these translate into real product and platform decisions
  • Hands‑on familiarity with agentic AI concepts, including multi‑step reasoning, tool use, retrieval‑augmented generation (RAG), and the orchestration frameworks (e.g., LangChain, LlamaIndex, or similar) builders use to create intelligent applications
  • Experience coordinating external model providers, API partners, and open‑source communities to deliver AI‑powered product capabilities
  • Strong risk management skills, with a proven ability to spot risks early — a model capability gap, an inference latency constraint, or a shifting vendor dependency — 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 AI teams and product and operational teams
  • Ability to distill complex or technical concepts — including nuanced AI/ML tradeoffs — 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 — actively using AI tools and agentic workflows 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
  • $148,800 - $186,000
  • This is a hybrid role

JR: 2026-8073

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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