Engineering Manager, Artifacts & Registry - W&B

CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.

The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform.

Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square,Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.

As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.

What You'll Do

You'll join the ML Workflows organization as the Engineering Manager for Artifacts & Registry, leading a team of six engineers.

Registry is the organization-level source of truth for what a company has approved for production. It provides access control, protected aliases, lineage, and automation hooks, and it is where a model version goes once it moves out of research. Pinterest, Capital One, Canva, Recursion, and Dropbox all run on it, and for some of them it sits inside a production serving path. Artifacts is the layer underneath it: content-addressable storage, deduplication, lineage, and retention for datasets, model weights, checkpoints, and evaluation outputs, across S3, GCS, Azure, and CoreWeave AI Object Storage. Every object logged to W&B is an artifact.

The team's mandate is also weighted heavily toward closing the gap between CoreWeave's infrastructure and the ML experimentation that happens in W&B. That includes extending the Registry beyond a record of decisions, so that promoting a model version can put it into serving on CoreWeave compute with lineage and access control carried through, and bringing compute and experimentation into a single unified experience rather than separate tools. This work is done in partnership with foundational infrastructure teams at CoreWeave and product teams across the W&B ecosystem.

The current scope is well defined and load bearing, with enterprise customers relying on it daily. What is open is what comes next, where there is significant room for new products, new roadmaps, and deeper integration between CoreWeave and W&B. The role therefore calls for a product-first mindset alongside strong operational ownership.

About the role

You'll own the full lifecycle, from roadmap shaping through delivery and production reliability. You'll partner with product management on prioritization, unblock your engineers across team boundaries, and hold the reliability bar while the team ships new capability. The failure modes here are customer data and customer uptime, so operational judgment matters as much as delivery.

You need to be technically fluent enough for the real architecture conversations: relational data modeling and query performance at scale, object storage, an analytical search index maintained alongside a transactional system of record, permission models, and the lifecycle of data customers cannot afford to lose. You're not afraid to get your hands dirty when the team needs it.

Your primary focus is growing your engineers into autonomous leaders and technical decision-makers. We're an AI-forward organization and we expect you to champion that. This team already does, both in how they build and in what they build, including the agent-facing surfaces of the product itself.

Like any role at a hyperscaler, this comes with high accountability and ownership. You'll own your team's outcomes end to end, make hard prioritization calls, and build a team that operates with autonomy and urgency.

Who You Are

3+ years of engineering management experience shipping platform, data, or infrastructure products

5+ years of software engineering experience prior to management, with backend systems depth

Technical fluency in Go (or a comparable statically typed backend language), relational data modeling, and distributed backend systems. You won't write code daily, but you need to review PRs, unblock architectural decisions, and understand production incidents

Experience managing teams that own production systems where the durability and correctness of customer data is the primary constraint

Demonstrated ability to balance product delivery with technical health, covering technical debt, reliability, and on-call

Experience partnering with product managers to shape a roadmap, including making the case for platform investment with evidence

Track record of growing engineers across levels, from mid-level through senior

Strong communication skills with both engineering and non-engineering stakeholders

Comfortable operating in ambiguity, including product areas where the right level of investment is an open question you're expected to help answer

Preferred

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, and 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 rather than only building from zero

Experience with post-acquisition platform integration

Founding experience or early-stage background where you took a product from idea to the hands of users

Wondering if you're a good fit?

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're interested in owning a system other products depend on, and in extending it rather than only keeping it running.

You think reliability is part of the product, and you can make that case to product partners and leadership with data.

You care about developer experience and understand that infrastructure teams succeed when their users actually love the tools.

You've managed through organizational complexity before and you're comfortable navigating cross-team dependencies and shifting priorities.

Why Us?

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

We support and encourage an en