CoLab Software Logo

CoLab Software

Engineering Manager - AutoReview

Posted Yesterday
Remote
Hiring Remotely in USA
Entry level
Remote
Hiring Remotely in USA
Entry level
Lead and coach the engineering team building AutoReview, an AI-powered mechanical design review product. Partner with Product on roadmap planning, feasibility, estimation, prioritization, and timelines. Maintain technical context to identify risks and dependencies, guide initiatives involving DFM checks, assembly analysis, and bulk workflows, and collaborate with applied ML teams. Establish clear ownership, support engineer autonomy, and help the team navigate evolving customer needs and AI technologies.
The summary above was generated by AI
About CoLab

At CoLab, we help mechanical engineering teams bring life-changing products to market years sooner.

We build AI for engineers designing cars, medical devices, and jet engines. Products this complex aren't sketched and sent to production. Teams spend months on iterations, reviews, and tests, predicting how every part performs before anything is built. CoLab is where those reviews happen, and we capture the rationale behind every change. Other tools show what changed between versions. Only CoLab knows why. That's how our AI helps manufacturers like Bobcat, Triumph Motorcycles, and GE Appliances make better decisions, eliminate rework cycles, and get to market faster.

Proudly based in St. John’s, Newfoundland, CoLab started with one customer in 2018. Since then we’ve raised a $72M Series C, been named the 57th fastest growing company in North America by Deloitte (Fast 500™), signed multi-year AI partnerships with companies like Bombardier, and grown to a team of 250+.

About the Role

We’re hiring an Engineering Manager to lead the team building AutoReview—CoLab’s AI-powered capabilities for automating mechanical design review.

This is a people leadership role that requires real technical depth. You won’t need to be the engineer writing every solution, but you should understand software and web architecture well enough to pressure-test an approach, spot when an estimate doesn’t add up, and ask the question that changes the conversation.

You’ll work closely with Product to turn broad ideas into a roadmap the team can confidently execute. That includes making early calls on feasibility and scope, then giving engineers the context and autonomy to work through the details.

The technical problems are substantial: DFM checks, clash detection, BOM consolidation, clearance analysis, bulk AutoReview workflows, and increasingly, the intersection of 2D engineering data and machine learning.

Our Ideal Candidate
  • You’ve managed engineers working on technically complex web applications—ideally involving geometry, 3D data, geometric processing, CAD, graphics, or adjacent domains.
  • You care deeply about people and understand the technology they’re building. You stay connected enough to the work to identify risks early without becoming the person everyone depends on for every decision.
  • This team is smart, motivated, and eager to move. Your job isn’t to manufacture ambition; it’s 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. If you enjoy building that kind of trusting partnership while navigating ambiguity, you’ll do well here.
Job Responsibilities
  • Lead, coach, and support the engineers responsible for Build AutoReview.
  • Partner closely with Product to define priorities, assess feasibility, roughly scope initiatives, and build realistic timelines.
  • Maintain enough technical context across projects to surface risks, dependencies, and questionable assumptions early.
  • Help the team deliver major AutoReview initiatives, including DFM checks, assembly analysis, and bulk review workflows.
  • Work across Engineering, Product, and the applied ML Team as AutoReview expands into areas where ownership and technical approaches are still evolving.
  • Create focus when priorities change quickly because of new customer insight, technical developments, or advances in AI and ML.
  • Build an environment where engineers have clear context, meaningful ownership, and the support to do excellent work.
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 is a 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.
Extra Details

This is a full-time, permanent position with a competitive compensation package that includes stock options. We offer comprehensive benefits and flexible vacation. This is a remote position open in Canada and the US. 

Equity Note

Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic and apply even if you don’t meet every single qualification—your potential is what matters most to us.

Similar Jobs

Yesterday
Easy Apply
Remote or Hybrid
Easy Apply
143K-185K Annually
Senior level
143K-185K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Leads Samsara’s globally distributed Core Infrastructure team, owning strategy and roadmaps across compute, networking, storage, cloud systems, reliability, and operational efficiency. Responsibilities include developing engineers, improving capacity management and observability, strengthening incident response and disaster recovery, building automation and self-service infrastructure, and applying AI-enabled tools to reduce toil. The role requires significant software engineering and people-management experience, strong technical judgment, and expertise in large-scale cloud or distributed platforms.
Top Skills: Ai-Enabled Engineering ToolsCloud PlatformsContainer OrchestrationDeclarative InfrastructureDistributed SystemsObservability
Yesterday
Remote
80K-84K Annually
Entry level
80K-84K Annually
Entry level
Artificial Intelligence • Software
Own the full sales cycle for net-new SMB accounts in Canada, from prospecting through negotiation and close. Build relationships with CPA, audit, advisory, and assurance firms; conduct discovery; present Fieldguide’s AI audit platform; develop territory and account plans; apply MEDDICC; maintain CRM accuracy and forecasts; collaborate cross-functionally; and attend networking events. The role requires achieving sales targets and involves up to 30% regional and national travel.
Top Skills: AICRM
Yesterday
Remote
United States
158K-238K Annually
Senior level
158K-238K Annually
Senior level
Artificial Intelligence • Productivity • Software • Automation
Own marketing FP&A, including headcount planning, budgeting, actuals tracking, channel allocation, ROI reporting, purchase orders, and vendor commitments. Partner with marketing, sales, RevOps, data, and corporate finance to connect marketing spend with pipeline and revenue outcomes. Lead pipeline forecasting, reporting definitions, risk identification, and AI-enabled automation of finance processes and forecasting cycles.
Top Skills: Ai ToolsDatabricksGoogle SheetsHubspotNetSuiteSnowflakeZip

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account