Senior Engineering Manager leading OLO’s guest ordering, experimentation, and menu - quality systems. Owner’s AI platform helps local restaurants grow revenue and operate digitally.
About the role
- Engineering Manager responsible for leading AI and software engineers at Lattice. Delivering AI Platform roadmap and ensuring quality in AI experiences across products.
Responsibilities
- Lead, coach, and grow a high-performing team of AI and software engineers, developing them into strong technical leaders while fostering a culture of 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 closely with Product, Applied AI, Data Science, and engineering leaders to define how AI quality is measured, evaluated, and continuously improved across Lattice.
- Lead the development of AI evaluation infrastructure, quality metrics, experimentation capabilities, observability, and developer tooling that enable every AI product team to confidently build, evaluate, and ship AI experiences.
- Drive technical and organizational decisions that improve the scalability, reliability, and adoption of the AI Platform, empowering engineers to own architecture and technical solutions.
- Build strong cross-functional partnerships and influence engineering strategy to establish AI evaluations as a foundational capability that accelerates AI development across Lattice.
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 (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.
- 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.
- 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.
- 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 (DPO), Reinforcement Learning from Human Feedback (RLHF), model fine-tuning, or preference learning. Experience building internal platforms and services adopted across multiple engineering teams.
Benefits
- Medical insurance
- Dental insurance
- Life, AD&D, and Disability Insurance
- Natural Disaster Support Program
- Wellness Apps
- Paid Parental Leave
- Paid Time off inclusive of holidays and sick time
- Working Remotely Stipend
- One time WFH Office Set-Up Stipend
- Retirement Plan
- Financial Planning
- Learning & Development Budget
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Software Development Manager leading 5 - 6 developers at MaintainX, a mobile - first industrial work execution platform. Delivering reliable reporting, identity, access, or search products.
Engineering Manager leading Platform IAM engineers at Akamai, which powers secure cloud and edge services. Driving architecture, delivery, mentorship, and high - performing team development.
Engineering Manager leading Slice’s DevEx platform, Kubernetes infrastructure, GitOps, and CI/CD. Improving developer productivity and reliability for technology powering independent pizzerias.
Engineering Manager leading backend services, APIs, and distributed systems for Slice’s technology platform supporting local pizzerias. Building high - performing teams and improving customer and engineering outcomes.
Engineering Manager leading Slice’s DevEx platform for restaurant technology. Improving Kubernetes infrastructure, CI/CD, reliability, and developer productivity across distributed engineering teams.
Engineering Manager leading Warner Music Group’s Forward Deployed Engineering team. Driving secure AI automation, reusable tooling, and business - unit delivery across the music company.
Engineering Manager leading a small team building Spellbook’s AI copilot for transactional lawyers. Driving technical direction, product delivery, and effective use of coding agents.
Engineering Manager leading backend services teams at Slice, whose technology supports tens of thousands of local pizzerias. Driving technical direction, team performance, and customer outcomes.
Engineering Manager leading CoLab’s AI - powered AutoReview team. Guiding engineers building AI tools for complex mechanical design reviews.