Engineering Manager, Artifacts & Registry - W&B
CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA
About this role
## Engineering Manager, Artifacts & Registry — W&B ### CoreWeave / Weights & Biases CoreWeave is building the essential cloud for AI, combining infrastructure, tools, and teams to help innovators develop and scale AI with confidence. CoreWeave acquired Weights & Biases to create an end-to-end platform for building, deploying, and iterating AI faster. ### What you’ll do - Join the **ML Workflows** organization as **Engineering Manager for Artifacts & Registry**, leading a team of **six engineers**. - Own **Registry** (source of truth for production-approved assets): access control, protected aliases, lineage, and automation hooks. - Lead **Artifacts**: content-addressable storage, deduplication, lineage, and retention for datasets, model weights, checkpoints, and evaluation outputs across **S3, GCS, Azure, and CoreWeave AI Object Storage**. - Help **close the gap between CoreWeave infrastructure and ML experimentation** in W&B—extending Registry so promotions can carry **lineage + access control** into serving on CoreWeave compute. - Drive the full lifecycle: **roadmap shaping → delivery → production reliability**, partnering with product management and maintaining a high reliability bar. ### About the role - You’ll partner across teams to deliver customer-critical capabilities where failure modes include **customer data integrity** and **customer uptime**. - You’ll be technically fluent for architecture discussions (e.g., relational data modeling/query performance at scale, object storage, permission models, and data lifecycle). - You’ll focus on growing engineers into autonomous leaders and technical decision-makers. ### Who you are - **3+ years** engineering management experience shipping platform/data/infrastructure products - **5+ years** software engineering experience (backend depth) - Technical fluency in **Go** (or comparable statically typed backend language), plus distributed backend systems and relational data modeling - Experience managing teams owning production systems where **durability/correctness of customer data** is the primary constraint - Proven ability to balance product delivery with technical health (reliability, technical debt, on-call) - Strong partnership with product managers to shape roadmaps and justify platform investment - Track record of growing engineers from mid-level through senior - Strong communication across engineering and non-engineering stakeholders - Comfortable operating in ambiguity ### Preferred - Experience with **ML infrastructure / ML platforms / model registries / developer tools** for data scientists - Background in large-scale object storage, content-addressable storage, deduplication, or garbage collection over large object graphs - Depth in query performance and schema migrations; experience with OLAP/columnar systems (e.g., **ClickHouse**) alongside transactional systems - Familiarity with multi-tenant permission models, RBAC, and enterprise access control - Experience integrating platforms post-acquisition - Founding/early-stage experience taking a product from idea to users ### Why us? We move fast, learn continuously, and care deeply about how we build and work together—guided by values like **Be Curious at Your Core**, **Act Like an Owner**, **Empower Employees**, **Deliver Best-in-Class Client Experiences**, and **Achieve More Together**. ### Compensation (base salary) Base salary range: **$165,000–$242,000** (final offer depends on knowledge, skills, experience, and mar
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