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Engineering Manager, Enterprise
Harvey
Toronto, CAN
Full Time
Manager
Hybrid
4 days ago
ReactPythonNodeGoAILLM
Free
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About the Role
Harvey is seeking an Engineering Manager to lead a fullstack team building AI-powered legal tools. You will own end-to-end delivery of core product initiatives, set technical direction for large-scale systems, and manage a high-performing engineering team.
Key Skills for This Role
ReactPythonNodeGoAILLM
Responsibilities
- Own end to end delivery of core product initiatives, from technical design through execution and iteration
- Set technical direction for large scale, AI powered systems
- Translate product vision into architecture, making pragmatic tradeoffs
- Lead hands on when it matters: contribute to design, code, and architecture reviews
- Build and grow your team by hiring exceptional engineers and investing in mentorship
- Partner deeply with Product, Design, and AI to identify high leverage opportunities
- Establish a strong engineering culture centered on simplicity, ownership, and craftsmanship
Requirements
- 6+ years of experience as a product focused fullstack or backend software engineer
- 2+ years of experience leading engineers
- Proven ability to design and operate backend platforms at scale
- Strong experience with modern frontend frameworks (e.g. React) or backend systems (e.g. Python, Node, Go)
- Excellent technical judgment and product instinct
- Solid computer science fundamentals and strong programming skills
Full Job Posting
Why Harvey
- Harvey is transforming how legal and professional services operate using frontier agentic AI and an enterprise grade platform.
- With 1500+ customers in 60+ countries, strong product market fit, and world class investor support, we are scaling fast.
Role Overview
- As an Engineering Manager, Product at Harvey, you will shape the foundation of our product platform and build user facing features for leading law firms and enterprise customers.
- This team owns the platform layer for secure, reliable, and flexible experiences including notifications, permissions, and feature flag infrastructure.
- This role is based in Toronto, Canada with a hybrid work model (3+ days per week in person).
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 for AI collaboration, long horizon planning agents, government grade security, LLM evaluation, and internet scale data collection.
- Translate product vision into architecture, making pragmatic tradeoffs that balance speed, quality, and long term scalability.
- Lead hands on when it matters: contribute to design, code, and architecture reviews, and dive into implementation to unblock the team.
- 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 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.
- 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 — 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.
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