Digital Ocean

1 month ago

Staff Product Manager

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 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: 3.8

Website LinkedIn

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Digital Ocean

1 month ago

Staff Product Manager

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

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

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: 3.8

Website LinkedIn