Engineering Manager (A.I.)

Join Lattice, a company dedicated to empowering people and organizations to thrive. As an Engineering Manager for the AI Intelligence Quality (IQ) team, you will lead the development of the AI Platform that enables every AI team at Lattice to measure quality, detect regressions, run experiments, and continuously improve AI performance. You will coach and grow a high-performing team of AI and software engineers, own the execution and delivery of the AI Platform roadmap, and partner closely with Product, Applied AI, Data Science, and engineering leaders. This role requires a strong technical background, experience building enterprise SaaS AI products, and a passion for building exceptional engineering teams.

• Lead and manage a high-performing team of AI and software engineers, fostering a culture of ownership, technical excellence, and continuous learning.
• Own the execution and delivery of the AI Platform roadmap, balancing near-term product impact with long-term platform investments.
• Drive technical and organizational decisions that improve the scalability, reliability, and adoption of the AI Platform, empowering engineers to own architecture and technical solutions.
• Strong technical background leading teams that build AI infrastructure, AI-powered products leveraging Large Language Models (LLMs) and/or AI agents, distributed systems, or developer platforms. You are a highly technical engineering leader who leads by example—contributing to architecture, design reviews, and code reviews, diving into implementation details when needed, and raising the technical bar across the team
• A strong product and platform mindset, balancing customer impact, engineering velocity, operational excellence, and long-term technical investments
• 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
• Experience building enterprise SaaS AI products where quality, trust, reliability, and scalability are critical to customer success
• Experience leading and growing high-performing software engineering teams, with a track record of hiring, coaching, and developing engineers into strong technical leaders
• A leadership style grounded in curiosity, humility, ownership, and continuous learning, with a passion for building exceptional engineering teams and delivering high-quality AI products
• Excellent communication and stakeholder management skills, with the ability to create clarity, align teams, and influence technical direction in fast-moving, ambiguous environments
• 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 (DPO), Reinforcement Learning from Human Feedback (RLHF), model fine-tuning, or preference learning
• Experience building internal platforms and services adopted across multiple engineering teams