701,621open jobs
41,200companies
103,639added this week
Browse all
Salary
$59k – $143k per year (Estimated)
Location
In office (San Francisco)
Seniority
Staff
Employment
Full-Time
Overview
Company
Impact
Profile match
AI + Robotics Built for Recycling. At Glacier, we build next-generation robots that make recycling efficient, profitable, and circular. Our systems combine AI vision with robotics to recover more materials at lower cost.

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 ofTIME's Best Inventions andfeatured in a TIME documentary, TechCrunch, Fortune, and CBS.

We're looking for a Deployment Lead to own robot installs end to end, planning first, execution second. You'll build the install plans, schedules, and staffing before the team arrives, then lead that team on-site to execute the plan. When not traveling, you'll work with our Director of Deployments to improve how we install our products at customer sites.

Up to 75% travel, domestic and occasional international.

Responsibilities:

  • Own pre-install planning including schedules, staffing, task assignments, parts and equipment logistics

  • Lead installation teams at customer sites, overseeing field quality control to ensure safe, efficient, and on-schedule deployments.

  • Partner with the Director of Deployments to identify and execute continues improvement projects related to installs.

  • Serve as the main on-site contact for customers during installs, providing timeline updates, addressing challenges, and building trust.

  • Make on-the-spot decisions when issues arise in the field, balancing customer needs, team capacity, and technical requirements.

  • Maintain and update install documentation as needed

  • Support in-house manufacturing during non-travel periods

Experience requirements:

  • 3+ years leading or coordinating technical builds, installs, or field deployments

  • 2+ years of project/hardware deployment planning experience (schedules, staffing, resourcing)

  • Comfortable directing a team on-site and interfacing directly with customers

  • Familiarity with mechanical/electrical assembly, tools, and build documentation

  • Willing to travel frequently (up to 75%, domestic and occasional international), including evenings/weekends

  • Able to lift up to 50 lbs, climb, bend, stand for extended periods

  • Self-starter, adaptable, detail-oriented

What traits will make you successful in this role:

  • You can plan five moves ahead and still keep a group of people moving under pressure

  • You follow the plan, but you know exactly when to throw it out and improvise

  • You've got real hustle, you don't wait around for someone to tell you what's next

  • Nothing slips past you, details matter and you catch what others miss

  • You know how to manage up, down, and sideways, with your team, with customers, with leadership

  • You want to keep driving toward improvements and aren’t satisfied with “good enough”

Why join us:

  • Own end-to-end installs for a fast-growing robotics fleet, real ownership from day one

  • Direct, visible impact: your plans will directly lead to working robots at customer sites

  • Work closely with leadership to shape how Glacier scales deployment operations

  • Mission-driven work ending waste, backed by top-tier VCs with a fleet already in production

If you're excited about planning ahead, leading technical installs, and growing into a bigger strategic role, we'd love to hear from you!

Compensation: The base compensation range for this role is 95,000-110,000. In addition to cash compensation, Glacier also offers competitive equity compensation and benefits. Final compensation depends on individualized factors including skills, experience, and interview performance.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
701,621 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Recommended for you based on this role

Similar stack
Same company
San Francisco
Robotics Technician 1 month ago
$60k – $80k per year • Equity • In office • Full-Time • 4+ years exp • Bachelor's Degree
DevOps
Linux
Management
Confluence
Jira
Apply
$24k – $42k per year • Remote • Full-Time • 2+ years exp
Python
JavaScript
SQL
Python
FastAPI
Django
AI/ML
DVC
Computer Vision
Label Studio
CVAT
Machine Learning
Frontend
Next.js
React.js
DevOps
Amazon S3
Analytics
ETL/ELT
Apply
$59k – $126k per year (Estimated) • Remote/Hybrid • Contractor • 1+ year exp • Bachelor's Degree • San Francisco
Management
Microsoft Office
Apply
$97k – $188k per year (Estimated) • Remote/Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • New York • Boston • San Francisco • Washington • Seattle
Management
Outlook
Microsoft Office
Apply
$133k – $338k per year • Remote • Full-Time • 12+ years exp • Associate's Degree • New York • Milwaukee • Dallas • Columbus • Kirkland
Python
Databases
Neo4j
Amazon Neptune
AI/ML
Airflow
Prompt Engineering
Multimodal AI
AI Agents
NLP
TensorFlow
PyTorch
LLM
Knowledge Graph
Machine Learning
DevOps
GCP
Azure
AWS
Analytics
ETL/ELT
Apache NiFi
Apply
$123k – $317k per year • In office • Full-Time • 10+ years exp • Master's Degree • Chicago • Milwaukee • Dallas • Columbus • Kirkland
Management
Agile
Marketing
Salesforce
Apply
$99k – $205k per year (Estimated) • In office • Full-Time • 3+ years exp • High School Diploma • San Francisco
DevOps
SLI/SLO/SLA
Windows
Management
ITIL
Service Desk
Apply
See all jobs
This is one of many
701,621 more open roles from verified company boards, updated every day.