DigitalOcean
Principal Product Manager, GradientAI Infrastructure
DigitalOcean, Seattle, Washington, us, 98127
Overview
DigitalOcean’s GradientAI Infrastructure Team is looking to welcome a new Staff 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 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 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 Indicators Of a Good Fit
10+ years of product management experience with a focus on AI/ML (ideally LLM) services, cloud platforms, or infrastructure products Strong technical depth - able to discuss AI/ML technologies with engineers and quickly recognize potential concerns Proven ability to build products for technical users with simple, clean UX in complex environments Track record of delivering high-impact products from concept to launch, including ownership of roadmaps and success metrics Strong sense of ownership and the drive to resolve issues that impede delivering value Customer-focused mindset with experience gathering insights and translating them into product improvements Experience researching, evaluating, and building with open source technologies Excellent communication skills, able to explain technical decisions to non-technical stakeholders Data-informed and outcomes-oriented, comfortable using metrics and analytics to inform decisions Experience with various GPU platforms and related toolsets is ideal but not required Experience with LLM hosting tools and frameworks (e.g., vLLM, llm-d) is ideal but not required Bachelor’s degree in a technical or business field; advanced degree is a plus but not required Why You’ll Like Working for DigitalOcean
We innovate with purpose. You’ll be part of a cutting-edge technology company with an upward trajectory, focused on simplifying cloud and AI so builders can create transformative software. We prioritize career development. You’ll work with smart, interesting people and have access to resources for growth, including conference reimbursement and LinkedIn Learning. We care about well-being. We offer a competitive benefits package, flexible time off, and programs designed to support you. We reward our employees. Salary range is provided with potential for bonuses and equity compensation; this is a remote role. Eligibility and specifics vary by location. We value diversity and inclusion. We are an equal-opportunity employer and do not discriminate on the basis of race, religion, color, national origin, caste, sex, sexual orientation, gender, age, disability, or military service. This is a remote role. EEO statements and related notices apply as required.
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DigitalOcean’s GradientAI Infrastructure Team is looking to welcome a new Staff 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 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 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 Indicators Of a Good Fit
10+ years of product management experience with a focus on AI/ML (ideally LLM) services, cloud platforms, or infrastructure products Strong technical depth - able to discuss AI/ML technologies with engineers and quickly recognize potential concerns Proven ability to build products for technical users with simple, clean UX in complex environments Track record of delivering high-impact products from concept to launch, including ownership of roadmaps and success metrics Strong sense of ownership and the drive to resolve issues that impede delivering value Customer-focused mindset with experience gathering insights and translating them into product improvements Experience researching, evaluating, and building with open source technologies Excellent communication skills, able to explain technical decisions to non-technical stakeholders Data-informed and outcomes-oriented, comfortable using metrics and analytics to inform decisions Experience with various GPU platforms and related toolsets is ideal but not required Experience with LLM hosting tools and frameworks (e.g., vLLM, llm-d) is ideal but not required Bachelor’s degree in a technical or business field; advanced degree is a plus but not required Why You’ll Like Working for DigitalOcean
We innovate with purpose. You’ll be part of a cutting-edge technology company with an upward trajectory, focused on simplifying cloud and AI so builders can create transformative software. We prioritize career development. You’ll work with smart, interesting people and have access to resources for growth, including conference reimbursement and LinkedIn Learning. We care about well-being. We offer a competitive benefits package, flexible time off, and programs designed to support you. We reward our employees. Salary range is provided with potential for bonuses and equity compensation; this is a remote role. Eligibility and specifics vary by location. We value diversity and inclusion. We are an equal-opportunity employer and do not discriminate on the basis of race, religion, color, national origin, caste, sex, sexual orientation, gender, age, disability, or military service. This is a remote role. EEO statements and related notices apply as required.
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