Engineering Manager, Product Engineering

Harvey Harvey · AI Frontier · Toronto, ON · Engineering

Engineering Manager, Product at Harvey, responsible for shaping the product platform and building user-facing features for law firms and enterprise customers. The role involves owning the platform layer for secure, reliable experiences, including notifications, permissions, and feature flags, as well as building collaboration product experiences. The team designs and owns systems that serve as critical infrastructure and directly impact user engagement with Harvey's AI-powered legal tools. The role requires moving between deep platform thinking and hands-on product iteration.

What you'd actually do

  1. 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.
  2. Set technical direction for large-scale, AI-powered systems, including:
  3. Translate product vision into architecture, making pragmatic tradeoffs that balance speed, quality, and long-term scalability in a fast-moving environment.
  4. 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.
  5. Build and grow your team by hiring exceptional engineers, setting clear technical and behavioral standards, and investing in mentorship and career development.

Skills

Required

  • 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.
  • 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.

Nice to have

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

What the JD emphasized

  • long-horizon (1000+ step) planning agents for mission-critical workflows
  • Evaluation of LLMs across a 10k+ leaf taxonomy of tasks
  • Internet-scale data collection across 50+ jurisdictions

Other signals

  • building user-facing features for law firms
  • AI-powered legal tools
  • enterprise-grade collaboration product experiences