Engineering Manager, Computer Vision

Glacier

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

Posted 10/1/2026full-timeSan Francisco • California • United StatesJuniorMid-Level💰 $196,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in computer vision strategy, engineering management, and cross-functional collaboration, with a strong focus on model optimization and team development. Proven ability to lead technical direction and execute complex projects in a fast-paced environment.

Highest-signal resume keywords

Engineering Management ExperienceComputer Vision / ML EngineeringModel OptimizationPython ProficiencyCross-Functional Project Coordination

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computer VisionMachine LearningModel TrainingModel DeploymentDataset QualityProduction PerformanceTechnical Roadmap DevelopmentSQL ProficiencyEdge MLData Labeling Management

Soft Skills

MentoringLeadershipCollaborationProblem-SolvingCommunication

Industry Keywords

Industrial AutomationRoboticsEarly-Stage StartupCross-Functional DependenciesTechnical Guidance

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own the vision, strategy, and execution of Glacier's computer vision roadmap in partnership with Product Management
Lead, mentor, and develop the 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
Shape computer vision strategy, team execution, and cross-functional collaboration as Glacier scales
Lead technical direction without serving as a day-to-day developer

Requirements

What you’ll need

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
Experience in an early-stage startup environment (<50 employees) is a bonus
Industrial automation, robotics, or other real-world physical systems experience is a bonus
ML systems deployed at customer sites is a bonus
Experience managing or working closely with data labeling teams is a bonus
Edge ML or production computer vision experience is a bonus
Legally authorized to work in the United States
Comfortable commuting to the job location

Benefits

Comp & perks

Competitive equity compensation
Benefits