Role Overview

As a Engineering Manager, Product at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration product experiences for law firms.

You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move between deep platform thinking and hands-on product iteration.

This role is based in Toronto, Canada. We use a hybrid, 3+ days-per week in-person work model and offer relocation assistance to new employees.

What You'll Do

• Own end-to-end delivery of core product initiatives, from technical design through execution and iteration, while directly managing a high-performing fullstack engineering team.

• Set technical direction for large-scale, AI-powered systems, including:

  • Retrieval over petabyte-scale document collections.

  • Product interfaces that enable organizations to collaborate with AI.

  • Long-horizon (1000+ step) planning agents for mission-critical workflows.

  • Government-grade security for highly sensitive data.

  • Evaluation of LLMs across a 10k+ leaf taxonomy of tasks.

  • Internet-scale data collection across 50+ jurisdictions.

• Translate product vision into architecture, making pragmatic tradeoffs that balance speed, quality, and long-term scalability in a fast-moving environment.

• Lead hands-on when it matters: contribute to design, code, and architecture reviews, and dive into implementation to unblock the team or tackle the hardest problems.

• Build and grow your team by hiring exceptional engineers, setting clear technical and behavioral standards, and investing in mentorship and career development.

• Partner deeply with Product, Design, and AI to identify high-leverage opportunities and ship highly intuitive, detail-oriented user experiences.

• Establish a strong engineering culture centered on simplicity, ownership, craftsmanship, and continuous improvement.

• Align execution with company goals, ensuring technical investments directly support product strategy and long-term impact.

What You Have

• 6+ years of experience as a product-focused fullstack or backend software engineer (post BS/MS), with a history of shipping real products to real users.

• 2+ years of experience leading engineers, with clear ownership over both delivery and team health. Past management experience is a plus.

• A proven ability to design and operate backend platforms that support multiple product lines at scale.

• Strong experience with modern frontend frameworks (e.g. React) or backend systems (e.g. Python, Node, Go).

• Excellent technical judgment: you know when to move fast, when to invest, and when to simplify.

• A strong product instinct and attention to detail, with a track record of building intuitive, high-quality user experiences.

• Demonstrated success building, motivating, and retaining high-performing teams in high-growth environments.

• Solid computer science fundamentals and strong programming skills.

• Grit and ownership mindset — you’re comfortable operating in ambiguity and taking responsibility for outcomes.

• Bonus: experience with AI-powered applications, large-scale data systems, LLM evaluation, or complex internal platforms.

What We Offer

• Be part of building something special as a founding member of our Toronto team

• Structured hybrid working arrangement: 3 days in our Toronto office, 2 days working from home

Compensation

CAD $196,800 - $270,600

We are an AI company and we use AI to improve all of our processes, including in the recruitment process. Whilst we do use AI to help improve efficiency in our recruitment process, we do not rely on AI to make any automated decisions and ensure that a human reviews AI output.

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