Staff Product Manager

Digital Ocean
Seattle
Workplace: HybridFull timeUSD 186,400 - 233,000 annuallyFunction: Software EngineeringExperience: 7+ yearsEducation: bachelorsSkills: []

Lead product strategy and roadmap for DigitalOcean's Data and AI portfolio, defining next-generation data primitives (vector databases, knowledge bases, Iceberg-compatible formats) and pricing, while collaborating across Engineering, Infrastructure, and GTM teams to deliver production-ready data solutions at scale.

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FursaFursa
Digital Ocean
Digital Ocean
2 months ago

Staff Product Manager

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Lead product strategy and roadmap for DigitalOcean's Data and AI portfolio, defining next-generation data primitives (vector databases, knowledge bases, Iceberg-compatible formats) and pricing, while collaborating across Engineering, Infrastructure, and GTM teams to deliver production-ready data solutions at scale.
Location: Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Define and drive the multi-year product strategy and roadmap for DigitalOcean's Data and AI portfolio.
  • •Lead development of next-generation data primitives to power RAG workflows and memory.
  • •Conduct market analysis to shape pricing, positioning, and go-to-market strategies.
  • •Collaborate cross-functionally with Engineering, Infrastructure, and Capacity Planning on scalable data solutions.
  • •Define and track KPIs to evaluate product success and guide roadmap decisions.

Pay and Benefits

Salary: USD 186,400 - 233,000 annually
Equity and Bonus:Equity

Key Requirements

  • •7+ years of product management experience with a focus on cloud-native data platforms, managed databases, or large-scale analytics infrastructure.
  • •Proven expertise in the full lifecycle of data or AI products—from concept and pricing through large-scale deployment.
  • •Deep technical fluency in vector embeddings, knowledge bases, SQL-based analytics, Iceberg data lake architectures, and the emerging AI agent ecosystem (MCP).
  • •Strong communication skills with the ability to align C-level executives and diverse stakeholders on strategic decisions.
  • •Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Experience:7+ yearsCloud-nativeData platformsAI
Education:Bachelor's
Languages:English
Tech Stack:Vector embeddingsKnowledge basesSQLIcebergMCP

Company Brief

Digital Ocean
Provides cloud infrastructure and developer-focused cloud services including scalable droplets, managed databases, Kubernetes, object storage, and networking to simplify deploying and managing applications for developers and small-to-medium businesses.
Industry: Cloud Computing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 250M to 500M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2011
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn