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CoLab Software builds AI-powered tools for mechanical engineering teams, helping them bring complex products (cars, medical devices, jet engines) to market faster. The company has raised $72M in Series C funding, was named the 57th fastest-growing company in North America by Deloitte, and partners with manufacturers like Bombardier, Bobcat, and GE Appliances.
You will lead the engineering team building AutoReview, CoLab's AI-powered suite for automating mechanical design review. This is a people leadership role requiring genuine technical depth. You won't write every solution, but you must understand software and web architecture deeply enough to pressure-test approaches, validate estimates, and ask questions that shift conversations.
Key responsibilities include:
- Lead, coach, and support engineers building AutoReview
- Partner closely with Product to define priorities, assess feasibility, scope initiatives, and build realistic timelines
- Maintain technical context across projects to surface risks, dependencies, and questionable assumptions early
- Help the team deliver major AutoReview initiatives: DFM checks, assembly analysis, bulk review workflows
- Work across Engineering, Product, and the applied ML team as AutoReview expands into new technical domains
- Create focus when priorities shift due to customer insight, technical developments, or AI/ML advances
- Build an environment where engineers have clear context, meaningful ownership, and support to do excellent work
The technical domain is substantial: DFM checks, clash detection, BOM consolidation, clearance analysis, bulk AutoReview workflows, and the intersection of 2D engineering data with machine learning.
You'll work with a smart, motivated team eager to move quickly. Your role is to provide clarity so that ambition is focused on the right problems. You'll also help establish clearer, respectful boundaries between Engineering and Product ownership, building a trusting partnership while navigating ambiguity.
QUALIFICATIONS:
- Experience managing software engineers in a technically complex product domain
- Strong technical foundation in modern web application and software architecture
- Experience with geometric processing, 3D/CAD applications, graphics, or similar technical systems (strong asset)
- Demonstrated ability to partner with Product on roadmap planning, technical feasibility, estimation, and prioritization
- Comfortable navigating evolving AI/ML technologies and understanding how they affect product and architecture decisions
- Able to move quickly through new information, make thoughtful decisions, and communicate tradeoffs clearly
