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Added 16 mins ago
Solutions Delivery Manager
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…innovation through connected construction data. As Solution Delivery Manager for AME, you’ll lead the regional team helping customers successfully implement and adopt Manager and…
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Nurse 2 - PACU
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Added 1 hour ago
Engineering Manager, Software
General Dynamics Missions System International
Ottawa, ON
$122,000 to $155,000 CAD / year
Full-time
We're looking for an Engineering Manager, Software in Ottawa or Halifax who is passionate about developing people and building high-performing engineering teams. If you enjoy collaborating…
Added 1 hour ago
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Ottawa, ON
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Added 2 hours ago
operations manager - administrative services
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Added 2 hours ago
Project Manager, Capture and Optimization of Research Data (CORD) Platform
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
Full-time
The Research Institute of the MUHC is seeking an interim Project Manager to join the Capture and Optimization of Research Data (CORD) platform of the Centre for Outcomes Research and…
Added 2 hours ago
Research Data Manager
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
Full-time
…University Health Centre (RI-MUHC). The team specializes in the development of methods and tools supporting the documentation, harmonization and integration of data across epidemiological…

Lattice

Engineering Manager, AI

Canada

Job type: Full-time
Posting language: English
Posted: Sep 15, 2026

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Original job description

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.

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.

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More about this job

Responsibilities

Lead and develop a high-performing team of AI and software engineers while owning delivery of the AI Platform roadmap. Build evaluation infrastructure, quality metrics, experimentation, observability, and developer tools, partnering across teams to make AI quality a foundational capability.

Requirements

Candidates should have experience leading and growing engineering teams and a strong technical background in AI infrastructure, LLM-powered products or agents, distributed systems, or developer platforms. They should be able to lead complex cross-functional initiatives, contribute to technical decisions and implementation, and balance product impact, reliability, engineering velocity, and long-term platform investments.

Skills

Engineering Team Leadership
Hiring and Coaching
AI Infrastructure
Large Language Models
AI Agents
Distributed Systems
Developer Platforms
AI Evaluation
Quality Metrics
Experimentation
Observability
Developer Tooling
Enterprise SaaS
Cross-Functional Leadership
Statistical Experimentation
Model Benchmarking

Benefits

Medical Insurance
Dental Insurance
Life Insurance
Accidental Death and Dismemberment Insurance
Disability Insurance
Natural Disaster Support Program
Wellness Apps
Paid Parental Leave
Paid Time Off
Remote Working Stipend
Work-From-Home Office Setup Stipend
Retirement Plan
Financial Planning
Learning and Development Budget
Stock Options

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
AI Infrastructure
Large Language Models
AI Agents
Distributed Systems
Developer Platforms
AI Evaluation Frameworks
Quality Metrics
Experimentation Platforms
Observability
Developer Tooling
Enterprise SaaS
Statistical Experimentation
A/B Model Testing
Offline Evaluations
Model Benchmarking
Direct Preference Optimization
Reinforcement Learning from Human Feedback
Model Fine-Tuning
Preference Learning
Applied AI
Data Science
Platform Roadmap
Reliability
Scalability
Technical Leadership

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