Software Development Manager, Integration ML Models

Position overview

Responsibilities

• Build a learning-focused team culture that supports experimentation and fast learning from failures.
• Frame promising ideas as hypotheses and run prototypes, evaluations and real-user pilots to decide what to pursue.
• Understand AEC practitioner workflows and shape products around their needs.
• Develop a concrete view of AI's potential impact on AEC work and turn it into product bets.
• Establish effective practices and guardrails for AI-assisted development, review, testing and quality.
• Capture meaningful user feedback and work with ML teams to improve foundation models; track adoption and usability.
• Coach engineers, manage performance and career development, and foster ownership, quality and psychological safety.
• Set milestones and time-boxed experiments; manage delivery scope and dependencies.
• Coordinate with Product, ML/Research, UX, AEC product, Data, Security and Privacy partners.
• Recruit, onboard and interview candidates.

Minimum qualifications

• Experience leading teams that ship software products and coaching individual contributors.
• Understanding of architects' and engineers' work, from practice or building products for AEC users.
• Hands-on use of AI and agentic development tools, with judgment about effectiveness and quality.
• Technical fluency to review agent-generated work and discuss architecture and APIs with engineers.
• Experience setting hypotheses, running rapid experiments and making decisions based on results.
• Experience collaborating with ML/AI or research teams to create usable product experiences.
• Strong written and verbal communication and cross-functional collaboration skills.

Preferred qualifications

• AEC, architecture, engineering, BIM or computational design background, or experience with Revit, Forma, IFC or similar tools and data.
• Experience designing agent-facing tools, MCP servers, tool/function-calling interfaces or orchestration frameworks.
• Experience evaluating AI features using feedback such as ratings, edits and confirmations.
• Experience shipping stable, versioned, documented developer-facing APIs and tooling.

Salary

• For Canada-based roles, the stated starting base salary range is CAD 140,000 to CAD 205,700; offers depend on experience and location and may exceed the range.
• The compensation package may include annual cash bonuses, stock grants and benefits.

Work arrangement

• Hybrid work is supported, with work near the Toronto, Canada office.
• In-person onboarding and/or identity verification may be required.

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