about 4 hours ago
Base Salary
$207k - $275k/yr
Responsibilities
- Own the commercial and technical strategy for acquiring new customers in AI runtime infrastructure.
- Drive new business opportunities by addressing barriers to scaling AI on CoreWeave.
- Develop expertise in AI runtime landscape using CoreWeave's Inference and Sandboxes products.
- Translate customer requirements into product feedback for the AI Runtime Services roadmap.
- Create deal structures and technical playbooks to accelerate sales opportunities.
- Engage with enterprise and research buyers on runtime performance and architectural decisions.
- Design commercial frameworks for large-scale runtime deployment deals.
- Collaborate with product and infrastructure teams to maintain competitive advantages.
Requirements
- 10+ years of experience in distributed systems, ML infrastructure, or production AI engineering.
- 5+ years working with AI runtime systems in a customer-facing role.
- Deep knowledge of AI workload execution, including serving frameworks and batching strategies.
- Experience with sandboxed execution environments and their impact on platform selection.
- Strong understanding of GPU memory hierarchies and model parallelism strategies.
- Familiarity with Kubernetes-native runtime orchestration and its operational implications.
- Ability to benchmark and position runtime performance across deployment patterns.
Benefits
- 100% paid medical, dental, and vision insurance.
- Company-paid life insurance and voluntary supplemental life insurance.
- Short and long-term disability insurance.
- Flexible Spending Account and Health Savings Account.
- Tuition reimbursement and participation in Employee Stock Purchase Program.
- Mental wellness benefits and family-forming support.
- Paid parental leave and flexible childcare support.
- 401(k) with a generous employer match and flexible PTO.
- Catered lunch each day and a casual work environment.
Tech Stack
Categories
AI & MLData Engineering