Engineering Manager, AI

Lattice·Remote(Remote - Canada)

Software Development

Excel

WFA Digital Insight

As demand for AI specialists continues to soar, with a 25% increase in job postings over the past year, Lattice stands out for its commitment to building trustworthy and measurable AI systems. With a strong focus on technical excellence and continuous learning, this role is ideal for engineers who thrive in fast-paced environments. Candidates should be prepared to showcase their technical expertise and ability to lead high-performing teams. Before applying, it's essential to understand the current landscape of AI development and the importance of quality and reliability in AI products.

Job Description

About the Role

The Engineering Manager, AI position at Lattice is a unique opportunity to lead a team of talented engineers in building AI solutions that empower people and organizations. As a key member of the AI Intelligence Quality (IQ) team, you will be responsible for developing and executing the AI Platform roadmap, ensuring that every AI experience delivered by Lattice is of the highest quality. Your team's work will have a direct impact on the company's ability to build trustworthy and measurable AI systems.

The AI IQ team owns the challenge of building the AI Platform that enables every AI team at Lattice to measure quality, detect regressions, run experiments, and continuously improve AI performance with confidence. As the leader of this team, you will be responsible for fostering a culture of ownership, technical excellence, experimentation, and continuous learning.

What You Will Do

Lead, coach, and grow a high-performing team of AI and software engineers, developing them into strong technical leaders.
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.
Drive technical and organizational decisions that improve the scalability, reliability, and adoption of the AI Platform.
Build strong cross-functional partnerships and influence engineering strategy to establish AI evaluations as a foundational capability.
Collaborate with stakeholders to identify and prioritize AI platform requirements.
Develop and manage the AI platform budget, ensuring alignment with business objectives.
Stay up-to-date with industry trends and advancements in AI, applying this knowledge to continuously improve the AI platform.

What We Are Looking For

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, distributed systems, or developer platforms.
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.
Excellent communication and stakeholder management skills, with the ability to create clarity, align teams, and influence technical direction.
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.
Proficiency in Excel and other data analysis tools.
Experience with Agile development methodologies.

Nice to Have

Experience building AI evaluation frameworks, experimentation platforms, or ML infrastructure.
Knowledge of statistical analysis and data modeling.
Familiarity with cloud-based AI platforms and services.
Experience with containerization and orchestration tools.

Benefits and Perks

Competitive salary and benefits package.
Opportunity to work on cutting-edge AI projects with a talented team of engineers.
Flexible working hours and remote work options.
Professional development opportunities, including training and conference sponsorships.
Access to the latest tools and technologies.
Collaborative and dynamic work environment.
Recognition and reward for outstanding performance.
Comprehensive health and wellness benefits.
Generous paid time off and holiday policy.

How to Stand Out

Develop a strong understanding of AI engineering principles and practices, including machine learning, deep learning, and natural language processing.
Showcase your experience in leading high-performing teams and developing strong technical leaders.
Highlight your ability to communicate complex technical concepts to non-technical stakeholders.
Be prepared to discuss your experience with AI platform development, including evaluation infrastructure, quality metrics, and experimentation capabilities.
Emphasize your passion for building trustworthy and measurable AI systems, and your commitment to continuous learning and improvement.
Prepare examples of your experience with cross-functional partnerships and influencing engineering strategy.
Research Lattice's company culture and values, and be prepared to discuss how your own values and leadership style align with theirs.

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