Lead the Launch & Sandboxes team at CoreWeave, focusing on AI infrastructure and empowering engineers to become autonomous leaders.
Posted by employer 6 months ago
First seen on Joblaze 2 days ago
Last verified on the company career page 5 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
Role intensity
10% coding — mostly leadership/strategy
AI in the day-to-day
We embrace LLM-based coding tools and agentic workflows to accelerate development.
Requirements
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Engineering Manager for Launch & Sandboxes at CoreWeave, the individual will oversee the development of cloud execution environments and job submission services, ensuring smooth integration with AI workloads. Key skills include expertise in Go, Python, and Kubernetes, along with a strong background in managing distributed systems. This position is ideal for someone with over three years of engineering management experience who can foster team autonomy while navigating complex product landscapes. CoreWeave's focus on AI infrastructure and a culture of innovation further enhances the role's significance.
Joblaze insights
Quick facts
From the original posting
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.
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. 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.
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
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
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.
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 $165,000.00 - $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 experience. This position includes a discretionary bonus, equity, and a comprehensive benefits package.
Standard company text repeated across Coreweave's postings is omitted here.