Staff Product Manager

digitalocean98; United States; Hybrid; USD 186,000 - 233,000; Full time

Benefits offered by this job

Flexible time off

Education support

Local meetups

Job summary

digitalocean98 is seeking a senior Product Manager to own the data and AI platform roadmap, spanning analytics infrastructure and production-grade services. You will align customer needs with technical delivery, market positioning, and go-to-market plans to ensure data products are practical and dependable.

The role requires deep experience in cloud data platforms, experience guiding AI-enabled product lifecycles, and the ability to articulate strategy to executives and diverse stakeholders.

Qualifications

• 7+ years in product management for cloud data platforms or analytics infrastructure.
• Experience owning data/AI product lifecycle from concept to deployment.
• Fluent with vector embeddings, knowledge bases, SQL analytics, Iceberg data lakes, and MCP.

Responsibilities

• Set and drive a multi-year roadmap across data and AI products.
• Guide capabilities like vector databases and MCP integrations.
• Research demand and inform pricing, positioning, and launches.
• Collaborate with engineering, infra, and capacity teams to deliver scalable services.
• Gather feedback and prioritize improvements across the lifecycle.
• Define measures like utilization, reliability, and deployment speed.

Skills

Product management

Cloud data platforms

AI product lifecycle

Strategic thinking

Education

CS/Engineering degree

Tools

Iceberg

Vector databases

Job description

Role overview

Own product strategy for a data and AI platform spanning analytics infrastructure and systems used by modern AI applications. This high-ownership role connects customer needs, technical delivery, market positioning, and go-to-market planning, with a focus on making data products practical and dependable for production use.

Responsibilities

• Set and drive a multi-year roadmap across data and AI products, from analytics through AI infrastructure.
• Guide development of capabilities such as vector databases, knowledge bases, MCP integrations, and open table formats to support retrieval and agent memory workflows.
• Research customer demand and competing offerings to inform product positioning, pricing, and launch plans.
• Partner with engineering, infrastructure, and capacity planning teams to deliver scalable, reliable services.
• Gather customer feedback and prioritize improvements across the data product lifecycle.
• Define and monitor measures such as utilization, reliability, and deployment speed to guide product decisions.

Requirements

• At least 7 years of product management experience focused on cloud data platforms, managed databases, or large-scale analytics infrastructure.
• Experience owning the lifecycle of data or AI products, from concept and pricing through large-scale deployment.
• Technical fluency in vector embeddings, knowledge bases, SQL analytics, data lake architectures such as Iceberg, and the AI agent ecosystem including MCP.
• Ability to explain strategy and technical choices to executives and varied technical and business audiences.
• Analytical skills in capacity planning, scaling economics, or cloud service pricing.
• Strong ownership and a record of delivering customer value through complex technical constraints.
• A degree in computer science, engineering, or a related field, or equivalent practical experience.

Benefits and work setup

• The role is hybrid. The listed US base salary range is $186,400–$233,000; bonus or equity may also be available.
• The source mentions flexible time off, employee assistance, local meetups, and support for relevant training and education; specific benefits may vary by location.