Engineering Manager, Applied AI

Team: IT

Location: Canada

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Manage engineers through senior level, providing direct, actionable feedback, coaching their execution, and supporting their progression toward technical leadership.
• Review architecture, agent designs, prompt strategies, and evaluation approaches across client engagements, challenging assumptions and maintaining strong technical standards.
• Step into complex technical and client situations, including production regressions and unclear requirements, and make timely decisions to keep engagements moving.
• Build strong engagement-level relationships with clients and stakeholders in partnership with product and client teams, ensuring projects are delivered successfully.
• Manage staffing and team transitions across engagements, anticipate capacity and delivery risks, and escalate cross-engagement conflicts when necessary.
• Support engineering hiring by interviewing candidates, calibrating against the required technical bar, closing candidates, and onboarding new team members.
• Contribute to engineering practices by identifying recurring patterns, sharing lessons across the wider team, and helping turn effective approaches into established practices.
• Remain close to hands-on engineering work and provide technical guidance where teams become blocked or require additional expertise.

Requirements:

• 3+ years of experience managing software engineers, including demonstrated experience providing feedback, coaching, and developing people.
• 5+ years of software engineering experience with sufficient technical depth to review designs, challenge implementation approaches, and guide engineering decisions.
• Strong hands-on Python experience.
• Experience delivering production software in real client environments, ideally where requirements and constraints are complex or evolving.
• Strong interest in applied AI, including agents, evaluations, and multi-agent systems, with an understanding of where these approaches are reliable and where human oversight remains necessary.
• Familiarity with AI coding tools and modern AI-assisted engineering workflows.
• Strong technical judgment combined with the ability to communicate clearly with engineers, clients, and other stakeholders.
• High-trust, high-agency approach to leadership, with a willingness to challenge assumptions, surface problems early, and share learnings openly.
• Experience in consulting, professional services, or forward-deployed engineering environments is a plus.
• Experience building a team or engineering practice from the early stages is also beneficial.

Benefits:

• Base salary of $285,000 USD plus competitive equity.
• 401(k) with a 4.5% employer match.
• Fully covered medical, dental, and vision premiums.
• Monthly wellness stipend.
• Citi Bike and pre-tax commuter benefits.
• 12 weeks of parental leave, with an optional four-week ramp-up period at 50% capacity.
• Hybrid work in New York City, with fully remote opportunities available to candidates in the US or Canada.
• Loft office in Soho with lunch and snacks.
• Opportunity to work on production AI systems across diverse enterprise industries and problem spaces.