Senior Product Manager, Data

Overview

Core Weave is The Essential Cloud for AI™. Built for pioneers by pioneers, Core Weave 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, Core Weave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, Core Weave became a publicly traded company (Nasdaq: CRWV) in March 2025.

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This role sits within the CIO organization and supports the development of Core Weave’s Enterprise Data Platform, integrating data from key sources across Operations, Engineering, Sales, Finance, and other IT partners.

We are seeking a Data Product Manager to support the development of Core Weave’s Enterprise Data Platform within the CIO organization. This role will contribute to building a scalable, high-performance data lake and data architecture, integrating data from key sources across Operations, Engineering, Sales, Finance, and other IT partners.

• As a Data Product Manager for Data Infrastructure and Analytics, you will help drive data ingestion, transformation, governance, and analytics enablement. You will collaborate with engineering, analytics, finance, and business teams to help deliver data lake and pipeline orchestration solutions, ensuring accessible data for business insights.
• Own and evangelize Data Platform and Business Analytics roadmap and strategy across Core Weave
• Assist with the execution of Core Weave’s enterprise data architecture, helping enable the data lake and domain-driven data layer.
• Support the development and enhancement of data ingestion, transformation, and orchestration pipelines for scalability, efficiency, and reliability.
• Work with the Engineering and Data teams to maintain and enhance data pipelines for both structured and unstructured data, enabling efficient data movement across the organization.
• Collaborate with Finance, GTM, Infrastructure, Data Center, and Supply Chain teams to help unify and model data from core systems (ERP, CRM, Asset Mgmt, Supply Chain systems, etc.).
• Contribute to data governance and quality initiatives, focusing on data consistency, lineage tracking, and compliance with security standards.
• Support the BI and analytics layer by partnering with stakeholders to enable data products, dashboards, and reporting capabilities.
• Help prioritize data-driven initiatives, ensuring alignment with business goals and operational needs in coordination with leadership.
• Remain informed of emerging data technologies and recommend tools and frameworks for improved data management as appropriate.

• 5+ years of experience in data product management, data architecture, or enterprise data engineering roles.
• Familiarity with data lakes, data warehouses, ETL/ELT and streaming pipelines, and data governance frameworks.
• Hands-on experience with modern data stack technologies (such as Snowflake, Big Query, Databricks, Apache Spark, Airflow, DBT, Kafka).
• Understanding of data modeling, domain-driven design, and creating scalable data platforms.
• Experience supporting the end-to-end data product lifecycle, including requirements gathering and implementation.
• Strong collaboration skills with engineering, analytics, and business teams to help deliver data initiatives.
• Awareness of data security, compliance, and governance best practices.
• Understanding of BI and analytics platforms (such as Tableau, Looker, Power BI) and supporting self-service analytics.

We believe in investing in our people and value candidates who can bring their diverse 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.

• You’re curious about AI developer tooling and infrastructure.
• You have strong problem-solving skills with a proactive and analytical mindset.
• You have excellent communication skills and a demonstrated ability to work collaboratively in a fast-paced environment.