Engineering Manager, AI
Lattice · Anywhere in the World · Remote
Lattice
Headquarters: Remote. Canada Location Requirement: This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces. This is Engineering at Lattice Lattice's Engineering team is dedicated to building cutting-edge solutions that empower people and organizations to thrive. As AI becomes fundamental to every product experience, ensuring those systems are trustworthy, measurable, and continuously improving is one of the company's most important engineering challenges. The AI Intelligence Quality (IQ) team owns that challenge. We build the AI Platform that enables every AI team at Lattice to measure quality, detect regressions, run experiments, and continuously improve AI performance with confidence.
Gig description
Headquarters: Remote - Canada Location Requirement: This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces. This is Engineering at Lattice Lattice's Engineering team is dedicated to building cutting-edge solutions that empower people and organizations to thrive. As AI becomes fundamental to every product experience, ensuring those systems are trustworthy, measurable, and continuously improving is one of the company's most important engineering challenges. The AI Intelligence Quality (IQ) team owns that challenge. We build the AI Platform that enables every AI team at Lattice to measure quality, detect regressions, run experiments, and continuously improve AI performance with confidence. The platform you lead won't power a single product—it will shape the quality of every AI experience we deliver, becoming a foundational capability for how AI is built at Lattice. What You Will Do 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. What You Will Bring to the Table 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. #LI-remote The estimated annual cash salary for this role is CAD $146,250 - CAD $195,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: 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; and Learning & Development Budget. Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. Lattice welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. About Lattice Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning – and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line . Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with Lattice's Job Applicant Privacy Policy . To apply: https://weworkremotely. com/remote-jobs/lattice-engineering-manager-ai-1
Requirements to meet
Disclaimer
Suggestions only — review each course yourself to judge whether it meets the role's requirements. Completing a course doesn't guarantee proficiency or that you'll qualify; hiring standards vary by employer.
Skills required
LLM Benchmarking (required)
GapFine-Tuning (required)
GapCourses that may help you meet this requirement:
Generative AI Advanced Fine-Tuning for LLMs
Coursera · intermediate · $49/mo · 9h · ★ 4.4
This course directly covers Fine-Tuning, which appears as a requirement in the AI Product Manager posting at an intermediate level and can be completed in approximately 9 hours.
Hugging Face NLP Course
Hugging Face Learn · intermediate · Free
This course directly covers Fine-Tuning, which appears as a requirement in the AI Product Manager posting at an intermediate level.
Optimize and fine-tune AI agents for production
Microsoft Learn · intermediate · Free · 1.5h
This intermediate course directly targets the Fine-Tuning skill gap by teaching how to fine-tune AI agents for production use, aligning with the AI Product Manager role's needs.
Machine Learning (required)
GapCourses that may help you meet this requirement:
Leverage AI tools and resources for your business
Microsoft Learn · beginner · Free · 42m · ★ 4.8
This course covers Machine Learning, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 1 hours.
Embrace responsible AI principles and practices
Microsoft Learn · beginner · Free · 58m · ★ 4.8
This course covers Machine Learning, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 1 hours.
Use AI for everyday tasks
Microsoft Learn · beginner · Free · 43m
This beginner course introduces practical AI usage, offering foundational exposure that can support an AI Product Manager's understanding of Machine Learning applications in everyday contexts.
Agentic Workflows (required)
GapCourses that may help you meet this requirement:
AI Agents and Agentic AI with Python & Generative AI
Coursera · beginner · $49/mo · 11h · ★ 4.6
This course directly covers Agentic Workflows, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 11 hours.
Understand features of Copilot Studio agents
Microsoft Learn · beginner · Free · 54m
This course covers Agentic Workflows, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 1 hours.
Secure AI agents and workloads on Windows
Microsoft Learn · beginner · Free · 35m
This beginner course on securing AI agents and workloads directly addresses the Agentic Workflows skill gap needed for the AI Product Manager role.
A/B Testing (required)
GapCourses that may help you meet this requirement:
Create an A/B web page marketing test with Google Optimize
Coursera · beginner · Price on site · 1.5h · ★ 4.3
This course covers A/B Testing, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 2 hours.
GTM Planning and Campaign Execution
Coursera · beginner · $49/mo · 9h
This course covers A/B Testing, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 9 hours.
Bayesian Statistics: Excel to Python A/B Testing
Coursera · $49/mo · 6h · ★ 4.5
This course directly covers A/B Testing, which appears as a requirement in the AI Product Manager posting and can be completed in approximately 6 hours.
Operations (required)
GapCourses that may help you meet this requirement:
Get started with data concepts
Microsoft Learn · beginner · Free · 37m · ★ 4.8
This beginner course directly addresses the Operations skill gap for an AI Product Manager by covering foundational data operations concepts in under an hour.
Introduction to Operations Management
Coursera · beginner · $79/mo · 16h · ★ 4.5
This course directly covers Operations, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 16 hours.
Service Operations Management
Coursera · beginner · $49/mo · 11h
This course directly covers Operations, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 11 hours.
Customer Success (required)
GapCourses that may help you meet this requirement:
Mastering Customer Success
Coursera · beginner · $49 · 20h
This course directly covers Customer Success, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 20 hours.
Launch Your Customer Engagement Career
Coursera · beginner · $49/mo · 1h
This course directly covers Customer Success, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 1 hours.
AI-Powered Customer Success Specialization
Coursera · intermediate · $49/mo · 40h · ★ 4.6
This course directly covers Customer Success, which appears as a requirement in the AI Product Manager posting at an intermediate level and can be completed in approximately 40 hours.
Large Language Models (required)
GapCourses that may help you meet this requirement:
Leverage AI tools and resources for your business
Microsoft Learn · beginner · Free · 42m · ★ 4.8
This course covers Large Language Models, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 1 hours.
Explore data roles and services
Microsoft Learn · beginner · Free · 22m · ★ 4.8
This course covers Large Language Models, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 0 hours.
Use AI for everyday tasks
Microsoft Learn · beginner · Free · 43m
This beginner course introduces practical AI usage, helping build foundational familiarity relevant to the Large Language Models skill gap for an AI Product Manager role.
Reinforcement Learning (required)
GapCourses that may help you meet this requirement:
Unsupervised Learning, Recommenders, Reinforcement Learning
Coursera · beginner · $49/mo · 30h · ★ 4.9
This course directly covers Reinforcement Learning, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 30 hours.
Generative AI with Large Language Models
Coursera · intermediate · $49 · 17h · ★ 4.8
This course covers Reinforcement Learning, which appears as a requirement in the AI Product Manager posting at an intermediate level and can be completed in approximately 17 hours.
Generative AI Advanced Fine-Tuning for LLMs
Coursera · intermediate · $49/mo · 9h · ★ 4.4
This course covers Reinforcement Learning, which appears as a requirement in the AI Product Manager posting at an intermediate level and can be completed in approximately 9 hours.
Distributed Systems (required)
GapCourses that may help you meet this requirement:
Distributed Systems and Web Services
Coursera · intermediate · $49/mo · 20h
This course directly covers Distributed Systems, which appears as a requirement in the AI Product Manager posting at an intermediate level and can be completed in approximately 20 hours.
Principles of Computer Systems
MIT Learn · advanced · Free
This course directly covers Distributed Systems, which appears as a requirement in the AI Product Manager posting at an advanced level.
Stakeholder Management (required)
GapCourses that may help you meet this requirement:
Introduction to Project Management
Coursera · beginner · $49/mo · 10h · ★ 4.8
This course directly covers Stakeholder Management, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 10 hours.
Business Analysis & Process Management
Coursera · beginner · Price on site · 2h · ★ 4.5
This course directly covers Stakeholder Management, which appears as a requirement in the AI Product Manager posting at a beginner level and can be completed in approximately 2 hours.
Project Management Communication, Stakeholders & Leadership
Coursera · intermediate · $49/mo · 20h · ★ 4.6
This course directly covers Stakeholder Management, which appears as a requirement in the AI Product Manager posting at an intermediate level and can be completed in approximately 20 hours.
Partnerships (required)
GapCourses that may help you meet this requirement:
Create Win-Win Partnerships
Coursera · intermediate · $49/mo · 2h
This course directly covers Partnerships, which appears as a requirement in the AI Product Manager posting at an intermediate level and can be completed in approximately 2 hours.
Business Development To Grow Through Strategic Relationships
Coursera · $49/mo · 3h
This course directly covers Partnerships, which appears as a requirement in the AI Product Manager posting and can be completed in approximately 3 hours.