Engineering Manager, AI

Role overview

Lead an engineering team focused on building the AI quality platform that powers trustworthy, measurable AI experiences across the organization's products. This is a senior leadership role combining people management, technical direction, and cross-functional partnership to establish AI evaluation as a foundational capability for how AI is built company-wide.

Responsibilities

- Lead, coach, and grow a high-performing team of AI and software engineers, developing them into technical leaders while fostering ownership, technical excellence, experimentation, and continuous learning. - Own the execution and delivery of the AI Platform roadmap, balancing near-term product impact with long-term platform investments. - Partner with Product, Applied AI, Data Science, and engineering leaders to define how AI quality is measured, evaluated, and continuously improved across the organization. - Direct the development of AI evaluation infrastructure, quality metrics, experimentation capabilities, observability, and developer tooling that enable product teams to confidently ship AI experiences. - Drive technical and organizational decisions that improve scalability, reliability, and adoption of the platform, empowering engineers to own architecture and technical solutions. - Build strong cross-functional partnerships and influence engineering strategy to position AI evaluation as a foundational capability that accelerates AI development.

Requirements

- Experience leading and growing high-performing software engineering teams, with a track record of hiring, coaching, and developing engineers into strong technical leaders. - Strong technical background leading teams that build AI infrastructure, AI-powered products leveraging Large Language Models and/or AI agents, distributed systems, or developer platforms, with the ability to contribute to architecture and design reviews. - Experience building enterprise SaaS AI products where quality, trust, reliability, and scalability are critical to customer success. - Proven ability to lead complex cross-functional initiatives from strategy through execution, partnering effectively with Product, Applied AI, Data Science, and Engineering to deliver business impact. - Excellent communication and stakeholder management skills, with the ability to create clarity, align teams, and influence technical direction in fast-moving, ambiguous environments. - A strong product and platform mindset, balancing customer impact, engineering velocity, operational excellence, and long-term technical investments, grounded in curiosity, humility, ownership, and continuous learning.

Nice to have

- Experience building AI evaluation frameworks, experimentation platforms, or ML infrastructure. - Knowledge of statistical experimentation, A/B model testing, offline evaluations, or model benchmarking. - Familiarity with advanced AI optimization techniques such as Direct Preference Optimization, Reinforcement Learning from Human Feedback, model fine-tuning, or preference learning. - Experience building internal platforms and services adopted across multiple engineering teams.

Benefits and work setup

- Remote-eligible position. - Estimated annual cash salary range of $187,500 – $234,500, plus eligibility for incentive stock options. - Medical, dental, and vision insurance; life, AD&D, and disability coverage; and emergency weather support. - Wellness app access and a learning and development budget. - Paid parental leave, plus paid time off that includes holidays and sick time. - 401(k) retirement plan, financial planning resources, commuter and parking accounts, in-office lunches, an internet and phone stipend, and a one-time work-from-home office set-up stipend.