Staff Product Manager, Data Services

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com .

What You’ll Do:

The Data Services Team builds and operates the data platform powering CoreWeave's AI cloud, from transactional and analytical databases to streaming, metadata, and governance. We give customers and CoreWeave engineers the primitives to ingest, store, process, and serve data with the latency, throughput, and elasticity that AI training, inference, and agentic workloads demand.

If you want to shape how data powers a rapidly scaling AI cloud, and build infrastructure that AI applications depend on, this is your team.

About the role:

As a Staff Product Manager for Data Services, you'll own strategy, roadmap, and execution across CoreWeave's data services portfolio, with particular emphasis on transactional (OLTP) and analytical (OLAP) platforms, alongside streaming, data lakes, and integration.

You'll shape a multi-year vision for how our services support AI training, inference, and agentic applications, then lead delivery from 0 to 1 and beyond. You'll work directly with customers and engineering to identify opportunities, prioritize investments, differentiate our offerings, and deliver reliable, scalable data infrastructure.

The hardest challenges involve rapid provisioning, data access, throughput, and performance for GPU-intensive and agentic workloads, with meaningful influence over technical direction and customer outcomes.

In this role, you will own:

Product strategy and roadmap across transactional and analytical Data Services, balancing immediate customer needs with broader portfolio investments

Customer and partner engagement, understanding data architectures, validating opportunities, and translating requirements into differentiated services and solutions

Cross-functional collaboration with engineering, GTM, and leadership to prioritize investments, resolve tradeoffs, and accelerate delivery

Market and competitive analysis to evaluate alternatives, identify customer value, and justify product investments through measurable business outcomes

API-first platform thinking, partnering with architects on scalability, reliability, service interfaces, and performance for AI workloads

Who You Are:

8+ years of product management experience in data platforms or cloud infrastructure, including 3-4 years owning customer-facing managed databases, analytical engines, or data services

Technical fluency in:

Transactional and/or analytical databases (e.g., PostgreSQL, MySQL, Aurora, Snowflake, BigQuery), including workload requirements, performance, and scalability

Streaming and pipelines (e.g., Kafka, CDC, ETL/ELT, lakehouse architectures, data ingestion and processing)

Data security and governance (encryption, IAM/RBAC, tenant isolation, data locality, compliance)

Demonstrated ownership of external, API-first Data Services from concept through launch, adoption, and multiple release cycles

Strong product judgment, translating customer needs into differentiated capabilities, strategic priorities, and measurable business outcomes

Comfort navigating ambiguity, making technical and commercial tradeoffs, and executing quickly in evolving AI infrastructure markets

Preferred:

Staff or Principal PM experience at a database vendor, cloud provider, or high-growth infrastructure company

Direct ownership of managed transactional or analytical services on AWS, Azure, or GCP (e.g., RDS, Aurora, Cosmos DB, BigQuery)

Experience with distributed database architectures, replication, workload isolation, elastic scaling, and performance optimization

Experience supporting AI training, inference, or agentic workloads through vector search, rapid provisioning, analytical processing, or data serving

Familiarity with cloud service differentiation, consumption-based pricing, product economics, and customer adoption

Prior engineering or architecture experience with databases, query engines, or distributed systems

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

Love building data services that customers and engineers depend on for critical AI workloads

Are curious about transactional, analytical, and emerging AI data patterns, separating meaningful customer value from hype

Can define product strategy across technical domains and align engineering, customers, and business stakeholders

Enjoy working directly with customers to understand workloads, evaluate alternatives, and identify meaningful product opportunities

Balance strategic vision with rapid execution, measurable outcomes, and pragmatic decisions under uncertainty

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

Be Curious at Your Core

Act Like an Owner

Empower Employees

Deliver Best-in-Class Client Experiences

Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:

Medical, dental, and vision insurance - 100% paid for by CoreWeave

Company-paid Life Insurance

Voluntary supplemental life insurance

Short and long-term disability insurance

Flexible Spending Account

Health Savings Account

Tuition Reimbursement

Ability to Participate in Employee Stock Purchase Program (ESPP)

Mental Wellness Benefits through Spring Health

Family-Forming support provided by Carrot

Paid Parental Leave

Flexible, full-service childcare support with Kinside

401(k) with a generous employer match

Flexible PTO

Catered lunch each day in our office and data center locations

A casual work environment

A work culture focused on innovative disruption

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