# Engineering Manager, Artifacts & Registry - W&B **Company**: CoreWeave **Location**: Livingston, NJ **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $165,000 to $242,000 **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/coreweave/jobs/4704218006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/job/engineering-manager-artifacts-and-registry-w-and-b-b06c7c8a-e68/ ## Description ### Job Description You will 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. ### Responsibilities - Own the full lifecycle, from roadmap shaping through delivery and production reliability - Partner with product management on prioritization, unblock engineers across team boundaries, and hold the reliability bar while the team ships new capability - Grow engineers into autonomous leaders and technical decision-makers - Make hard prioritization calls, and build a team that operates with autonomy and urgency ### Requirements - 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 - 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 Qualifications - 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 ### Benefits - Medical, dental, and vision insurance - 100% paid for by CoreWeave - 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 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 a generous employer match - Flexible PTO - Catered lunch each day in our office and data center locations - A casual work environment - A work culture focused on innovative disruption For more fresh new jobs, check out [yubhub.co](https://yubhub.co/). ## Skills ### Required - Go - relational data modeling - distributed backend systems - software engineering ### Nice to have - ML infrastructure - ML platforms - model registries - developer tools for data scientists - large-scale object storage - content-addressable storage - deduplication - garbage collection over large object graphs --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/coreweave/jobs/4704218006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)