Senior Engineering Manager (AI)

TL;DR

Senior Engineering Manager (AI): Lead the W&B Inference engineering team to productize and operate a reliable, developer-friendly AI inference service integrated with CoreWeave's platform with an accent on service reliability, operational excellence, and developer experience. Focus on driving roadmap execution, managing distributed systems, and ensuring high standards of reliability and performance in a complex, cross-functional environment.

Location: Must be based in the United States (Livingston, NJ; New York, NY; San Francisco, CA; Sunnyvale, CA; Bellevue, WA) with hybrid work and remote considered only if located more than 30 miles from an office

Salary: $188,000–$275,000 per year

Company

hirify.global, part of CoreWeave, is a leading AI platform company focused on experiment tracking, model optimization, and scalable AI infrastructure.

What you will do

• Lead and grow the engineering team responsible for the W&B Inference product focusing on reliability, orchestration, and developer experience.
• Drive execution of roadmap initiatives in partnership with Product and CoreWeave engineering teams.
• Own engineering processes including incident response, release management, and observability.
• Collaborate with infrastructure teams to integrate inference platform capabilities into a cohesive product.
• Guide design and delivery of application-layer enhancements like tracing and tool call handling.
• Build a culture of ownership, technical excellence, and continuous improvement.

Requirements

• Must be based in the United States (locations listed above) with hybrid work and limited remote options.
• 7+ years software engineering experience with 3+ years managing engineering teams for distributed systems or large-scale services.
• Strong knowledge of distributed compute services, observability, autoscaling, reliability engineering, and API design.
• Ability to manage competing priorities and make trade-offs among latency, reliability, cost, and velocity.
• Excellent communication skills to lead multi-stakeholder projects.
• Empathy for ML practitioners and platform developers to improve reliability and developer experience.

Nice to have

• Experience with high-scale systems, real-time APIs, cloud infrastructure, or model-serving/inference domains.
• Background in platform domains such as IAM, billing/metering, observability, or deployment tooling.

Culture & Benefits

• Medical, dental, and vision insurance fully paid by employer.
• Company-paid life insurance and disability coverage.
• Flexible spending and health savings accounts.
• Tuition reimbursement and employee stock purchase program.
• Paid parental leave and family-forming support.
• 401(k) with generous employer match and flexible PTO.
• Casual work environment with catered lunch and quarterly team gatherings.