Software Development Manager, Integration ML Models

Position overview

Responsibilities

• Foster fast learning, experimentation, psychological safety, and continuous improvement.
• Frame testable hypotheses and favor rapid prototypes, evaluations, and real-user pilots over lengthy plans.
• Learn AEC practitioner workflows and translate them into useful product capabilities.
• Define a vision for AI agents in AEC and turn it into product opportunities for Forma, Revit, and other products.
• Guide use of coding agents and establish practices for specifications, review, testing, guardrails, and productivity measurement.
• Capture ratings, edits, confirmations, and other useful feedback and connect it to ML teams; track adoption and usability.
• Coach engineers through one-to-ones, performance conversations, and career development.
• Set milestones and time-boxed bets, manage scope and dependencies, and deliver predictably while allowing experimentation.
• Partner with Product, ML/Research, UX, Data, Security/Privacy, and Forma and Revit teams.
• Recruit and onboard team members and participate in hiring and interview calibration.

Minimum qualifications

• Track record leading teams that ship software products and coaching individual contributors.
• Understanding of architects' and engineers' work as a practitioner or through products built for AEC users.
• Hands-on experience with AI and agentic development tools and maintaining quality.
• Technical fluency to review agent-generated work and discuss architecture and APIs with engineers.
• Experience leading experimentation through hypotheses, rapid testing, and decisions based on results.
• Experience working with ML/AI or research teams to turn model capabilities into usable products.
• 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 such as MCP servers, tool/function-calling interfaces, or orchestration frameworks.
• Experience evaluating AI features and building user-feedback loops.
• Experience shipping stable, versioned, well-documented APIs and developer tooling.

Compensation

• For Canada-based roles, the expected starting base salary is CAD 140,000 to CAD 205,700 per year; compensation may include annual bonuses, stock grants, and benefits.