About this role
The day-to-day work for the Engineering Manager, Computer Vision at Glacier involves owning the vision and execution of the company's computer vision roadmap. This role is central to defining the strategy for developing and deploying the AI models that power Glacier's custom sorting robots and business analytics tools for recyclers. The manager will lead the international Computer Vision engineering team, focusing on ensuring the team remains aligned with the highest-priority objectives for the product. A significant part of the responsibility involves providing technical guidance on complex CV problems, overseeing model performance, and establishing efficient processes for execution.
This position exists to scale Glacier's AI capabilities as the company grows and addresses the pressing issue of waste management. The manager acts as a critical bridge, collaborating across various departments—including Product Management, Software, Operations, and Manufacturing—to translate technical vision into tangible product features and operational improvements. It is ideal for an experienced leader who thrives on setting technical direction while also focusing on people development and cross-functional coordination in a fast-paced startup environment.
Candidates who excel in turning ambiguous technical challenges into clear priorities, possess strong systems thinking, and can effectively mentor a technical team will be well-suited for this role. Success hinges on the ability to provide deep technical input on computer vision systems while maintaining focus on execution and team health.
What you will do
- Own the vision, strategy, and execution of Glacier's computer vision roadmap in partnership with Product Management.
- Lead, mentor, and develop the distributed Computer Vision engineering team, focusing on hiring, performance management, and retention.
- Set project and task-level priorities to ensure engineers remain focused and unblocked.
- Break down complex technical challenges into clear plans and coordinate execution across multiple engineers and workstreams.
- Provide technical guidance regarding models, datasets, compute resources, evaluation methods, and production performance.
- Establish lightweight processes designed to improve overall execution and collaboration within the team.
- Partner with Software, Operations, Manufacturing, and Field Engineering to identify and resolve cross-functional dependencies.
- Oversee the labeling function, managing aspects such as resourcing, budget, and quality.
What you need
- Possesses at least two years of experience in engineering management.
- Requires two or more years of hands-on experience in computer vision or Machine Learning engineering.
- Must have firsthand experience training and deploying computer vision models.
- Needs a strong technical understanding of model optimization, dataset quality, compute, evaluation, and production performance.
- Should have intermediate proficiency in Python and SQL.
- Experience building technical roadmaps and coordinating complex, cross-functional projects is required.
- Success is contingent upon the ability to engage deeply with computer vision problems and guide engineers through technical challenges.
Nice to have
- Experience working in an early-stage startup environment (<50 employees)
- 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
Benefits
- $196,000 - $220,000 salary
- Competitive equity compensation
- Benefits
Skills and tech stack
Questions candidates ask
What is the remote policy for this role?
This role is hybrid and requires presence in the office on Tuesdays and Thursdays.
What is the compensation range?
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.
What is the primary tech stack?
The required technical proficiencies include intermediate Python and SQL.
What does the team structure look like?
This role reports directly to the Co-Founder and CTO and plays a key role in shaping the computer vision strategy and team execution.