Engineering Manager, Artifacts & Registry - W&B
About The Position
The Engineering Manager for Artifacts & Registry will join the ML Workflows organization and lead a team of six engineers responsible for W&B’s Registry and Artifacts products. Registry is an organization-level source of truth for production-approved assets, providing access control, protected aliases, lineage, and automation hooks. Artifacts provides content-addressable storage, deduplication, lineage, and retention for datasets, model weights, checkpoints, and evaluation outputs across S3, GCS, Azure, and CoreWeave AI Object Storage. The role will guide work that connects CoreWeave infrastructure with ML experimentation in W&B. This includes extending Registry so model promotion can put a version into serving on CoreWeave compute while preserving lineage and access control, and unifying compute and experimentation experiences. The manager will partner with CoreWeave infrastructure teams and W&B product teams. The manager owns the full lifecycle from roadmap shaping through delivery and production reliability. They partner with product management on prioritization, unblock engineers across team boundaries, and maintain reliability while delivering new capabilities. Because failures can affect customer data and uptime, sound operational judgment is important. The role requires technical fluency in relational data modeling and query performance at scale, object storage, analytical search indexes alongside transactional systems of record, permission models, and durable data lifecycle management. The manager is expected to grow engineers into autonomous leaders and technical decision-makers, champion AI-forward practices, and own team outcomes with accountability and urgency.
Requirements
- At least 3 years of engineering management experience shipping platform, data, or infrastructure products.
- At least 5 years of software engineering experience before moving into management, with depth in backend systems.
- Technical fluency in Go or a comparable statically typed backend language, relational data modeling, and distributed backend systems.
- Ability to review pull requests, unblock architectural decisions, and understand production incidents, even without writing code daily.
- Experience managing teams responsible for production systems where durability and correctness of customer data are primary constraints.
- Demonstrated ability to balance product delivery with technical health, including technical debt, reliability, and on-call responsibilities.
- Experience partnering with product managers to shape a roadmap and make an evidence-based case for platform investment.
- Track record of developing engineers across levels, from mid-level through senior.
- Strong communication skills with engineering and non-engineering stakeholders.
- Comfort operating in ambiguity and helping determine appropriate investment in product areas.
Nice To Haves
- Experience with ML infrastructure, ML platforms, model registries, or developer tools for data scientists.
- Background in large-scale object storage, content-addressable storage, deduplication, or garbage collection over large object graphs.
- Expertise in query performance and schema migrations for large production databases.
- Experience with a columnar or OLAP store such as ClickHouse alongside a transactional system of record.
- Familiarity with multi-tenant permission models, RBAC, and enterprise access-control requirements.
- Experience taking a mature, widely adopted product into a new strategic phase.
- Experience with post-acquisition platform integration.
- Founding experience or an early-stage background taking a product from idea to users.
Responsibilities
- Lead a team of six engineers in the ML Workflows organization, responsible for Artifacts and Registry.
- Own the full product and engineering lifecycle, from roadmap shaping through delivery and production reliability.
- Partner with product management to prioritize work and shape the roadmap, including advocating for platform investment with evidence.
- Unblock engineers across team boundaries and partner with CoreWeave infrastructure and W&B product teams.
- Maintain production reliability while delivering new capabilities, with particular care for customer data durability and uptime.
- Guide technical architecture and decisions involving relational data modeling, query performance, object storage, analytical search indexes, transactional systems, permissions, and data lifecycle management.
- Grow engineers across levels into autonomous leaders and technical decision-makers.
- Champion AI-forward approaches in how the team builds and in the product’s agent-facing capabilities.
- Make prioritization decisions and own the team’s outcomes end to end.
- Extend Registry and integrate CoreWeave compute with W&B experimentation, including enabling model promotion to serving with lineage and access control carried through.
Benefits
- Medical, dental, and vision insurance, 100% paid for by CoreWeave for US-based full-time employees.
- 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 the Employee Stock Purchase Program (ESPP).
- Mental wellness benefits through Spring Health.
- Family-forming support through Carrot.
- Paid parental leave.
- Flexible, full-service childcare support with Kinside.
- 401(k) with a generous employer match.
- Flexible PTO.
- Discretionary bonus and equity awards, subject to eligibility.
- Catered lunch each day at office and data center locations.
- Casual work environment.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
