Engineering Manager, Launch & Sandboxes- Weights & Biases

Weights & Biases•Sunnyvale, CA

9h•$165,000 - $242,000

About The Position

The Engineering Manager for Launch & Sandboxes leads CoreWeave’s IaaS engineering team responsible for cloud execution environments and the services and integrations that support job submission, compute orchestration, and HPC schedulers. Sandboxes let practitioners run code in isolated, GPU-enabled containers. The systems connect developer workflows to compute across Kubernetes clusters, HPC nodes, and cloud virtual machines, helping customers launch, manage, and scale AI workloads across CoreWeave infrastructure. The role participates in the full product lifecycle, from ideation and roadmap shaping through delivery and customer support. The manager partners with product management to prioritize competing initiatives, resolves cross-team dependencies, and helps the team deliver reliably while managing technical debt. Technical fluency is needed to contribute to architecture discussions involving container orchestration, distributed authentication, and billing infrastructure, and to help with hands-on work when needed. A primary focus is developing engineers into autonomous leaders and technical decision-makers. The manager champions AI-forward development practices, including LLM-based coding tools and agentic workflows, and keeps ML practitioners’ needs central to team priorities. The role owns team outcomes end-to-end, from roadmap commitments to production reliability, while making prioritization decisions, maintaining engineering quality, and building a team that works with autonomy and urgency.

Requirements

At least 3 years of engineering management experience, with a track record of shipping infrastructure or platform products.
At least 5 years of software engineering experience prior to management, with backend systems depth.
Technical fluency in Go, Python, and Kubernetes, sufficient to review pull requests, unblock architectural decisions, and understand production incidents.
Experience managing teams that own distributed systems in production.
Demonstrated ability to balance product delivery with technical health, including technical debt, reliability, and on-call responsibilities.
Experience partnering with product managers to shape and prioritize a roadmap.
Track record of growing engineers across levels.
Strong communication skills with engineering and non-engineering stakeholders.
Comfort operating amid ambiguity, especially in newer product areas where scope is still being defined.
Must meet applicable U.S. export-control access requirements: be a U.S. person, eligible to access the controlled information without export authorization, or eligible and reasonably likely to obtain the required authorization.

Nice To Haves

Experience with ML infrastructure, ML platforms, or developer tools for data scientists.
Familiarity with compute orchestration, job scheduling, or container isolation technologies.
Experience managing teams through a product-area transition, such as early-stage growth or post-acquisition integration.
Background in HPC or scientific computing environments.
Experience with billing systems, metering, or usage-based pricing infrastructure.
Founding experience or an early-stage background taking a product from idea to users.

Responsibilities

Lead engineering for the Launch & Sandboxes team and its cloud execution environments, job submission services, compute orchestration, and HPC scheduler integrations.
Connect developer workflows to compute across Kubernetes clusters, HPC nodes, and cloud virtual machines.
Participate in the full product lifecycle, from ideation and roadmap shaping through delivery and customer support.
Partner with product management to prioritize competing initiatives and shape the roadmap.
Unblock engineers on cross-team dependencies and ensure reliable delivery while managing technical debt.
Contribute to architecture discussions involving container orchestration, distributed authentication, and billing infrastructure, and get hands-on when needed.
Grow engineers into autonomous leaders and technical decision-makers.
Champion LLM-based coding tools and agentic workflows within the team.
Stay close to ML practitioners’ product needs and ensure those needs inform team priorities.
Own team outcomes from roadmap commitments through production reliability; make prioritization decisions, uphold engineering quality, and build a team that operates autonomously and urgently.

Benefits

Discretionary bonus and equity.
Medical, dental, and vision insurance, 100% paid for by CoreWeave for US-based offerings.
Company-paid life insurance and voluntary supplemental life insurance.
Short- and long-term disability insurance.
Flexible Spending Account and Health Savings Account.
Tuition reimbursement.
Ability to participate in an 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 an employer match.
Flexible PTO.
Catered lunch each day at office and data center locations.
Casual work environment.