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Manufacturing Operations Manager
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🚨 We’re Hiring: Manufacturing Operations Manager 📍 Vaughan / North York, ON | On - site What we’re looking for: - 3+ years of operations/supervisory leadership -
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
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