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Engineering Manager, Launch & Sandboxes

coreweaveLivingston, NJ / New York, NY / San Francisco, CA / Sunnyvale, CA / Bellevue, WA / Remote, USPosted 15 Oct 2026

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About this role

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

Learn more at www.coreweave.com . What You’ll Do You’ll join CoreWeave’s IaaS organization as the Engineering Manager for the Launch & Sandboxes team. The team owns two connected areas: Sandboxes, cloud execution environments that let practitioners run code in isolated, GPU-enabled containers, and Launch, the services and integrations that support job submission, compute orchestration, and HPC schedulers. You’ll lead the engineering work that connects developer workflows to the compute where AI workloads run.

The systems span Kubernetes clusters, HPC nodes, and cloud virtual machines, and are designed to make it easier for customers to launch, manage, and scale workloads across CoreWeave’s infrastructure. About the role As the Engineering Manager for Launch & Sandboxes, you'll be involved in the full product lifecycle, from ideation and roadmap shaping through delivery and being available for customers. Your day-to-day will involve partnering with product management to prioritize across competing initiatives, unblocking your engineers on cross-team dependencies, and ensuring the team ships reliably while managing technical debt.

You'll need to be technically fluent enough to participate in architecture discussions around container orchestration, distributed authentication, and billing infrastructure, and you're not afraid to get your hands dirty when the team needs it. At the same time, your primary focus is growing your engineers into autonomous leaders and technical decision-makers. We're an AI-forward organization that embraces LLM-based coding tools and agentic workflows to accelerate development, and we'd expect you to champion that culture within your team.

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This role carries a heavy customer and user focus: you'll stay close to how ML practitioners use the product and make sure that perspective drives your team's priorities. Like any role at a hyperscaler, this comes with high accountability and ownership. You'll own your team's outcomes end-to-end, from roadmap commitments through production reliability. We expect engineering managers to make hard prioritization calls, hold the bar on engineering quality, and build teams that operate with autonomy and urgency.

Who You Are 3+ years of engineering management experience, with a track record of shipping infrastructure or platform products 5+ years of software engineering experience prior to management, with backend systems depth Technical fluency in Go, Python, and Kubernetes (you won't write code daily, but you need to review PRs, 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 (managing tech debt, reliability, on-call) Experience partnering with product managers to shape and prioritize a roadmap Track record of growing engineers across levels Strong communication skills with both engineering and non-engineering stakeholders Comfortable operating in ambiguity, especially in newer product areas where scope is still being defined Preferred 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 (e.g., early-stage to 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 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 energized by building a team around a product area that is still finding its shape, not just maintaining something mature. 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 entrepreneurial outlook and independent thinking.

We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base pay and target total cash for this position range from USD 165,000.00 - USD 242,000.00 , accordingly.

Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experienc

Source listing: greenhouse_coreweave

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