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.

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.

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

Engineering Manager, Product Engineering

Key skills