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.
As a Technical Program Manager on the Agentic AI team, you will drive value delivery for a set of technical programs that bring our AI-powered products and platform capabilities to life — spanning agentic systems, LLM-powered features, AI infrastructure, and the developer tooling that enables builders to ship intelligent applications. 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 AI research leaders to drive the delivery of valuable, often complex, technical programs that advance our Agentic AI Cloud and meet our customers’ rapidly evolving AI needs. You will be the connective tissue across model teams, platform engineering, developer experience, and outside partners — 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 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
- 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
- $148,800 - $186,000
*This is a hybrid role
JR: 2026-8073
#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 delivering cross-functional programs in fast-paced environments
- Experience planning and delivering complex programs, resolving blocking issues, and driving change management
- Understanding of AI/ML fundamentals, including model training, inference, agentic architectures, LLM APIs, and AI developer tooling
- Hands-on familiarity with agentic AI concepts, multi-step reasoning, tool use, retrieval-augmented generation, and orchestration frameworks such as LangChain or LlamaIndex
- Experience coordinating external model providers, API partners, and open-source communities
- Strong risk management skills and ability to develop mitigation plans
- Ability to influence cross-functional stakeholders without direct reporting authority
- Ability to communicate complex technical concepts and AI/ML tradeoffs clearly
- Detail- and process-oriented approach balanced with an outcomes focus
- Experience using project management tools such as Jira and Confluence
- Experience with AI tools and agentic workflows
- Growth mindset focused on learning and continuous improvement
- Experience in AI/ML, platform engineering, or developer tooling
DigitalOcean Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, and mental-health insurance. Feedback suggests this area stands out as a core strength of the package.
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Equity Value & Accessibility — Equity participation is emphasized through performance grants and an Employee Stock Purchase Plan. Feedback suggests these programs add meaningful value alongside base pay.
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Leave & Time Off Breadth — Time off is positioned as flexible or unlimited, with above-average parental leave highlighted across sources. Feedback suggests this flexibility supports work-life balance.
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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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.
