Senior Engineering Manager, Data Engineering

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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The Data Engineering Team builds and operates the foundational data infrastructure powering analytics, AI, and operational decision-making across Core Weave. We design resilient data pipelines, scalable lakehouse systems, and high-quality datasets that enable teams across Finance, HR, Operations, and Engineering to move faster and make smarter decisions. Our mission is to make Core Weave’s data reliable, accessible, and actionable at scale.

We are seeking a Sr. Engineering Manager to lead Core Weave’s growing data engineering function, responsible for building and maintaining the company’s petabyte‑scale enterprise data lake. This role blends technical depth with people leadership – you’ll lead with empathy and energy, guide engineering execution, ensure operational excellence, and stay hands‑on in key parts of our data ecosystem. As a technical manager and bridge‑builder, you’ll partner closely with stakeholders across the entire business to translate strategic priorities into scalable data solutions, sustainable delivery practices, and a strong culture of ownership and growth.

• 8+ years of experience building and operating distributed software systems, including significant data engineering experience.
• 3+ years of experience managing and scaling engineering teams responsible for production systems.
• Deep, hands‑on experience with distributed data processing frameworks like Spark and Flink.
• Experience operating reliable systems with defined SLAs/SLOs and reliability targets.
• Strong understanding of failure modes in distributed systems and how to design for fault tolerance and recovery.
• Demonstrated experience setting, executing, and tracking objectives and key results (OKRs) using quantitative signals and operational metrics.
• Track record of hiring, onboarding, and performance‑managing engineers in growing organizations.

• Experience operating data platforms with fine‑grained access controls and permissions management.
• Familiarity working with regulated datasets including SOX‑governed data, GDPR‑governed data, and PII.
• Experience running data workloads on Kubernetes.
• Experience with distributed stream processing frameworks like Flink and Kafka.
• Familiarity with lakehouse architectures and table formats such as Iceberg or Delta Lake.
• Background in high‑growth, infrastructure‑centric environments.

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.

• You love building and operating distributed data systems across batch and streaming workloads.
• You’re curious about applying software engineering rigor to data pipelines at enterprise scale.
• You’re an expert at scaling teams and systems while maintaining high standards for reliability and operational excellence.

At Core Weave, 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

The base salary range for this role is $161,000 to $237,000. The starting salary will be determined based on job‑related knowledge, skills, experience, and market location. We…