Lead the product vision and strategy for a new AI/ML offering, collaborating with engineering, engaging customers, and driving product success in the LLM space.
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.
DigitalOcean’s GradientAI Infrastructure Team is looking to welcome a new Principal Product Manager to define a compelling new product in the AI/ML infrastructure space and partner deeply with an engineering team to make it a reality for our customers.
Upon selection, you will be responsible for providing a product vision and strategy for and guiding the development of a net new AI/ML offering. You will work closely with a highly skilled engineering team, facilitating communications, providing clarity of vision and priority, and empowering the team to build creative solutions for our partners and customers, bringing our famed DigitalOcean Simplicity to the world of Large Language Model (LLM) hosting, serving, and optimization. If you are someone who shares our passions for technology and AI solutions, deep market research and analysis to build a product customers delight in using, and being loving service providers, team members, and leaders, we want to meet you!
What You’ll Be Doing:- Define and own the product vision, roadmap, and success metrics for our net new LLM inference product
- Collaborate closely with engineering and design to bring new features and experiences to market, focusing on developer simplicity, performance, and scalability.
- Engage with customers directly to gather feedback, and validate solutions and use these insights to guide product decisions and prioritize the roadmap.
- Analyze usage data, market trends, and competitive dynamics to identify opportunities and shape a product strategy that balances innovation with reliability.
- Write clear product requirements and specifications, ensuring alignment across teams and driving execution from concept through launch.
- Represent the product internally and externally, sharing the roadmap with stakeholders, supporting customer-facing teams, and enabling go-to-market success.
- Drive cross-functional alignment by communicating product goals, timelines, and rationale clearly and consistently across the company.
- Continuously iterate and improve existing features based on feedback, performance metrics, and strategic shifts.
- 10+ years of product management experience with a focus on AI/ML (ideally LLM) services, cloud platforms, or infrastructure products.
- Strong technical depth - you understand modern AI/ML technologies (particularly those related to LLM hosting and inference). You can talk in depth with software engineers about their areas of expertise, or read technical documentation, and quickly recognize what is and is not of concern.
- Proven ability to build products for technical users, with a strong intuition for simple and clean user experience in complex environments.
- Track record of delivering high-impact products from concept to launch, including ownership of roadmaps, prioritization, and success metrics.
- A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers
- Customer-focused mindset, with direct experience gathering insights and translating them into valuable product improvements.
- Experience researching, evaluating, and building with open source technologies
- Excellent communication skills, with the ability to explain technical decisions to non-technical stakeholders and align diverse teams around a shared vision.
- Data-informed and outcomes-oriented, comfortable using metrics and analytics to inform decisions and measure success.
- Experience with various GPU platforms from AMD and NVIDIA and associated toolsets
for tuning, configuring, and accelerating AI/ML workloads on them would be ideal, but not required - Experience with LLM hosting tools and frameworks (e.g., vLLM, llm-d) would be ideal, but not required
- Bachelor’s degree in a technical or business field (e.g., Computer Science, Engineering, Economics); advanced degree is a plus but not required.
- $239,600 - $299,500
*This is a remote role
#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.
Top Skills
AI
Cloud Platforms
Gpu Platforms
Llm
Ml
Open Source Technologies
Software Engineering
DigitalOcean Broomfield, Colorado, USA Office
Easy to access for employees both in and outside of NYC, our HQ is located in the heart of trendy SoHo.
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