Engineering Manager, Weave - W&B
CoreWeave · San Francisco, CA
About this role
**CoreWeave — Weights & Biases (W&B) | Engineering Manager** ## About CoreWeave CoreWeave is *The Essential Cloud for AI™*, built for pioneers by pioneers. We deliver a platform of technology, tools, and teams that helps innovators build and scale AI with confidence. Founded in 2017, CoreWeave became publicly traded (Nasdaq: CRWV) in March 2025. CoreWeave acquired **Weights & Biases** to create an end-to-end platform to develop, deploy, and iterate AI faster—combining CoreWeave’s cloud infrastructure with W&B’s best-in-class AI tools. ## What You’ll Do You’ll join the **AI Development Platform** organization, where the **Weave** team builds high-scale AI observability capabilities—agent tracing, offline evaluation APIs, and online monitoring—to detect and annotate agent failures. Within Weave, you’ll lead an **Enterprise team** focused on optimizing the product for large enterprise customers with requirements around **scalability, governance, and compliance**. In this role, you will: - Lead a team making Weave the best AI observability platform for enterprise customers - Optimize Weave for very large ingest volumes and data processing across major cloud platforms - Partner with Sales to enable new deals and support existing ones - Monitor and optimize single-tenant deployments, including customer-managed deployments - Establish and enforce **SLAs/SLOs** for service availability and data readiness - Lead optimization of underlying infrastructure and data storage for performance and cost - Drive roadmap, execution, hiring, and foster a culture of excellence - Hire, coach, mentor, and develop team members - Report on system health and participate in overall roadmap design - Participate in on-call rotations and incident responses ## Who You Are - 1–3 years as an engineering manager with people-leading responsibilities - 6+ years of professional software engineering experience - Experience working with external-facing customers for platform/product use - Experience leading enterprise software delivery at scale (including single-tenant and/or on-prem), with compliance/security/performance constraints - Strong grasp of service availability & performance metrics, SLAs/SLOs, and incident response protocols - Understanding of AI observability primitives, workflows, and requirements - Ability to collaborate with Sales and join customer calls - Strong ownership of end-to-end delivery for production services (planning, execution, quality, operational health) - Strong written and verbal communication skills; able to align engineering, product, finance, and compliance stakeholders - Bachelor’s degree in Computer Science or related field - Located in the San Francisco Bay Area; able to come into the SF office a few days a week ## Preferred Experience - Single-tenant architecture tradeoffs in a SaaS environment - Data stack familiarity (e.g., ClickHouse, Kafka, Kubernetes) - Experience in MLOps / AI observability, especially supporting LLM application development workflows - Experience in fast-paced startup environments during rapid growth ## Wondering if You’re a Good Fit? We encourage candidates to apply even if you don’t meet every requirement. You may be a great fit if you: - Care deeply about enterprise adoption of cutting-edge software - Enjoy coaching engineers on system design, correctness, and enterprise rigor - Have strong opinions (lightly held) about enterprise software - Can operate amid ambiguity—balancing short-term delivery with
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