Technical Program Manager
About The Position
As a Technical Program Manager on DigitalOcean’s Agentic AI team, you will drive value delivery for technical programs that bring AI-powered products and platform capabilities to life, including agentic systems, LLM-powered features, AI infrastructure, and developer tooling. You will use technical literacy and program management experience to lead cross-functional delivery, champion continuous improvement, and help teams deliver on commitments in a fast-paced environment. You will partner with Product, Engineering, and AI research leaders to deliver complex programs that advance DigitalOcean’s Agentic AI Cloud and address customers’ evolving AI needs. Serving as a connective link across model teams, platform engineering, developer experience, and external partners, you will foster alignment, support effective decision-making, and help teams deliver value efficiently. This is a hybrid role. The compensation range is $148,800–$186,000. A bonus may also be available, and eligible employees may receive equity compensation.
Requirements
- 10+ years of experience as a Technical Program Manager delivering cross-functional programs in a fast-paced environment.
- Proven track record planning and delivering complex programs, resolving blockers, and driving effective change management.
- Solid understanding of AI/ML fundamentals, including model training versus inference, agentic architectures, LLM APIs, and AI developer tooling, and how they inform product and platform decisions.
- Hands-on familiarity with agentic AI concepts, including multi-step reasoning, tool use, retrieval-augmented generation (RAG), and orchestration frameworks.
- Experience coordinating external model providers, API partners, and open-source communities to deliver AI-powered product capabilities.
- Strong risk management skills, including identifying risks early and developing plans to keep programs moving.
- Ability to influence and work through others without direct reporting relationships, bridging technical AI teams with product and operational teams.
- Ability to communicate complex technical concepts and AI/ML tradeoffs through clear, structured communications and action plans.
- Ability to balance attention to detail and process with an outcomes focus.
- Experience with project management tools such as Jira and Confluence to manage value delivery and provide curated information to stakeholders.
- Actively uses AI tools and agentic workflows to work more effectively and continually considers how AI can improve program delivery and team operations.
- Growth mindset that prioritizes learning and improvement for oneself and the teams one works with.
Nice To Haves
- Experience in AI/ML, platform engineering, or developer tooling.
Responsibilities
- Drive value delivery for major Agentic AI programs, including model integrations, agentic framework development, AI platform capabilities, and developer tooling; manage prioritization, planning, risks, execution, and success measurement.
- Partner with Product, Engineering, AI research leaders, and senior leaders throughout programs to deliver value and improve processes and practices.
- Coordinate communication among model teams, platform engineers, developer experience teams, and external AI partners to keep programs aligned and on track.
- Coordinate work from early capability planning and prototyping through production deployment, partnering with model providers, inference infrastructure teams, and internal platform teams.
- Drive decision-making across teams, organizations, stakeholders, locations, and senior leaders.
- Manage scope changes and shifting priorities; identify risks early and develop mitigation plans.
- Build repeatable, scalable processes and operational infrastructure that accelerate delivery of AI capabilities, improve reliability, and support sustainable operations.
- Promote technical project and program management best practices within the team and across partner teams and organizations.
Benefits
- Reimbursement for relevant conferences, training, and education.
- Access to LinkedIn Learning courses.
- Employee Assistance Program.
- Local Employee Meetups.
- Flexible time off policy.
- Potential performance-based bonus.
- Equity compensation for eligible employees, including equity grants upon hire.
- Option for eligible employees to participate in the Employee Stock Purchase Program.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
