Engineering Manager, Launch & Sandboxes
Overview:
As Engineering Manager for Launch & Sandboxes, you guide the product and engineering lifecycle, shaping roadmaps and delivering reliable, scalable infrastructure that connects developer workflows to AI compute. You lead a team responsible for sandboxed, GPU-enabled environments and job submission/compute orchestration across Kubernetes, HPC nodes, and cloud VMs. You balance product delivery with technical health while mentoring engineers to become autonomous leaders. This role puts you at the heart of AI workloads, emphasizing customer-centric development and cross-team collaboration. Compensation / Benefits Medical, dental, and vision Life insurance Disability insurance Flexible Spending Account Health Savings Account Tuition reimbursement
Responsibilities:
- Guide roadmap prioritization with product management and unblock cross-team dependencies
- Ensure reliable delivery while managing technical debt and production quality
- Participate in architecture discussions around container orchestration, distributed authentication, and billing infrastructure
- Grow engineers into autonomous leaders and technical decision-makers
- Maintain strong customer focus by aligning work with ML practitioners' workflows
- Own team outcomes end-to-end from roadmap commitments to production reliability
Key requirements:
- 3+ years of engineering management experience shipping infrastructure or platform products 5+ years of software engineering experience with backend systems depth
- Technical fluency in Go, Python, and Kubernetes
- Experience managing teams with distributed systems in production
- Ability to balance product delivery with tech debt and reliability
- Experience partnering with product managers to shape roadmaps
- Track record of growing engineers across levels
- Strong communication with engineering and non-engineering stakeholders
- Comfort with ambiguity in new product areascross-functional collaborationownership mindsetclear communication
GoPythonKubernetes