Senior Engineering Manager, Express AI Foundations

What you'll do

• Own end-to-end delivery of AI infrastructure workstreams including LLM orchestration, inference services, and data pipelines.
• Participate in system design reviews and provide technical guidance to unblock engineers on complex problems.
• Establish and maintain engineering quality standards for observability, fault tolerance, latency, and responsible AI practices.
• Decompose high-level product requirements into concrete technical requirements with clear dependencies and effort estimates.
• Drive prioritization across competing demands to balance new features, infrastructure investment, and reliability improvements.
• Manage and coach a team of 6–10 engineers, providing regular feedback and career development support.
• Own the full recruiting lifecycle to hire and grow a high-performing, inclusive engineering team.
• Communicate technical progress, risks, and trade-offs to both technical and non-technical senior stakeholders.

What we're looking for

• 3–5 years of engineering management experience delivering complex infrastructure or platform projects.
• Strong technical foundation in distributed systems, AI/ML infrastructure, or large-scale service development.
• Working fluency in modern AI/ML concepts including LLM orchestration, inference infrastructure, and data pipelines.
• Demonstrated ability to coach, provide feedback, and support career progression for engineers across multiple seniority levels.
• Experience owning end-to-end team execution including structured prioritization, dependency management, and agile delivery.
• Clear communication skills to translate technical trade-offs into business terms for non-technical stakeholders.
• Masters degree or equivalent experience in Computer Science, Machine Learning, or a related field (preferred).
• Background as a hands-on engineer in data infrastructure, ML platform, or large-scale backend systems (preferred).