Engineering Manager, Artifacts & Registry - W&B

CoreWeave•Sunnyvale, NY

16h

About The Position

The Engineering Manager for Artifacts & Registry will lead a team of six engineers in the ML Workflows organization at Weights & Biases, part of CoreWeave. Registry is an organization-level source of truth for approved production 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 team’s work includes deepening the integration between CoreWeave infrastructure and W&B machine-learning experimentation. This may involve enabling model promotion into serving on CoreWeave compute while preserving lineage and access controls, and bringing compute and experimentation into a unified experience. The role works with CoreWeave infrastructure and W&B product teams, with substantial opportunity to shape new products, roadmaps, and integrations. The manager owns the full lifecycle of the team’s work, from roadmap shaping through delivery and production reliability. They partner with product management on prioritization, unblock engineers across team boundaries, maintain reliability while shipping new capabilities, and make decisions where customer data durability and uptime are critical. The role requires technical fluency in areas such as relational data modeling and query performance, object storage, analytical search indexes alongside transactional systems, permission models, and data lifecycle management. The manager is expected to grow engineers into autonomous leaders and technical decision-makers, champion AI-forward ways of working, 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 backend systems depth.
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 customer data durability and correctness are primary constraints.
Demonstrated ability to balance product delivery with technical health, including technical debt, reliability, and on-call.
Experience partnering with product managers to shape roadmaps and make evidence-based cases 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 the appropriate level of 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.
Depth in query performance and schema migrations against 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 responsible for Artifacts and Registry.
Own the full lifecycle of the team's work, from roadmap shaping through delivery and production reliability.
Partner with product management to prioritize work and shape the roadmap.
Unblock engineers across team boundaries and coordinate with CoreWeave infrastructure and W&B product teams.
Maintain a high reliability bar while delivering new capabilities for systems where customer data durability and uptime are critical.
Make technically informed decisions about relational data models, query performance, object storage, search indexes, permissions, and data lifecycles.
Review pull requests, unblock architectural decisions, and understand production incidents.
Grow engineers across levels into autonomous leaders and technical decision-makers.
Champion AI-forward approaches in how the team builds and in the product capabilities it develops.
Make prioritization decisions and own the team's outcomes end to end.

Benefits

Medical, dental, and vision insurance, 100% paid for by CoreWeave for eligible 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 provided by Carrot.
Paid parental leave.
Flexible, full-service childcare support with Kinside.
401(k) with an employer match.
Flexible PTO.
Discretionary bonus and equity awards, subject to eligibility.
Catered lunch at office and data center locations.