Engineering Manager, Computer Vision

This role is hybrid and required in office on Tuesdays and Thursdays.

About Glacier

Hey, we're Glacier! Series A startup based in San Francisco tackling one of the world's most pressing problems: trash. Did you know that in the US, we send over half of our recyclables to the landfill? We're working to fix that. In doing so, we'll also be reducing carbon emissions, energy consumption, and depletion of natural resources.

Glacier builds custom sorting robots designed to sort apart recyclables as well as AI-powered business analytics that enable recyclers to superpower their plants and improve our society's circularity. From major CPG companies like Colgate and Amazon to municipal recycling facilities, our clients trust us to turn recycling data into actionable insights. Our technology has been recognized as one of TIME's Best Inventions and featured in a TIME documentary , TechCrunch, Fortune, and CBS.

The Role

We're looking for an experienced Engineering Manager, Computer Vision to lead Glacier's Computer Vision organization. You'll own the vision and execution of our CV roadmap, lead our international CV engineering team, and ensure the team is focused on the highest-priority work.

This role reports directly to our Co-Founder and CTO and will play a key role in shaping our computer vision strategy, team execution, and cross-functional collaboration as we scale.

What you'll do

Own the vision, strategy, and execution of Glacier's computer vision roadmap in partnership with Product Management

Lead, mentor, and develop our distributed CV engineering team, including hiring, performance, upskilling, and retention

Set project and task-level priorities, keeping engineers focused and unblocked

Break complex technical challenges into clear plans and coordinate execution across multiple engineers and workstreams

Provide technical guidance on models, datasets, compute, evaluation, and production performance

Establish lightweight processes that improve execution and collaboration

Partner with Software, Operations, Manufacturing, and Field Engineering to identify and resolve cross-functional dependencies

Oversee the labeling function, including resourcing, budget, and quality

This is a technical leadership role, not a day-to-day development role . You won't be expected to directly code, but you should be comfortable getting deep into technical problems and providing credible guidance on computer vision systems.

What we're looking for

2+ years of engineering management experience

2+ years of hands-on computer vision / ML engineering experience

Firsthand experience training and deploying computer vision models

Strong technical understanding of model optimization, dataset quality, compute, evaluation, and production performance

At least intermediate Python and SQL proficiency

Experience building technical roadmaps and coordinating complex, cross-functional projects

What will make you successful

Technical depth: You can engage deeply with computer vision problems and guide strong engineers through deeply technical challenges

Prioritization: You can turn ambiguous technical challenges into clear priorities and balance team interests with company needs

Systems thinking: You understand how your team decisions affect Software, Operations, Manufacturing, Field Engineering, and customers

Execution: You break large problems into actionable plans, manage dependencies, and surface risks early

Communication: You're concise, can push back thoughtfully, and adjust when new information changes the right answer

Leadership: You know how to support and challenge a highly autonomous team while keeping people accountable

Bonus points

Experience working in an early-stage startup environment ( Industrial automation, robotics, or other real-world physical systems experience

ML systems deployed at customer sites

Experience managing or working closely with data labeling teams

Edge ML or production computer vision experience

Compensation

The total cash compensation range for this role is $196,000 - $220,000. In addition to cash compensation, Glacier also offers competitive equity compensation and benefits. Final compensation will depend on job-related skills and knowledge, experience level, interview performance, and other relevant factors.