Glacier

Own and execute Glacier's Computer Vision strategy, lead and develop the engineering team, and serve as the technical lead for AI projects. | Requires 2+ years in engineering management and Computer Vision experience, with a track record in training models and defining long-term roadmaps. | This role is hybrid and required in office on Tuesdays and Thursdays. Hey, we're Glacier! A 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 a strong technical leader to own Glacier's Computer Vision strategy and lead our Computer Vision engineering team. This is a hands-on leadership role managing a distributed team across the US and internationally. Computer Vision is the foundation of our products and plays a pivotal role in the company's success. This role reports directly to the co-founder and CTO. What you’ll do: Own the vision, strategy, and execution of Glacier's Computer Vision roadmap Lead and develop our distributed Computer Vision engineering team (hiring, onboarding, performance management across time zones) Collaborate cross-functionally with Sales, Operations, and founders to align the Computer Vision roadmap with company strategy and customer needs Serve as the technical lead for critical, AI-centric customer projects Your First 90 Days: Own and communicate the Computer Vision roadmap (next 6 months of priorities and technical risks) Develop deep system knowledge across our entire ML stack (which models run where and why) Understand team strengths, career goals, and performance dynamics Assess team capabilities and capacity (what's in our wheelhouse vs. what requires hiring) Requirements 2+ years of engineering management experience 2+ years of Computer Vision experience Demonstrated track record defining and implementing roadmaps 1+ years out that incorporate experimental R&D Firsthand experience training Computer Vision models Experience at early-stage startups (<50 employees) Ability to work from our San Francisco office (Dogpatch) at least two days/week Why Join Us? Mission-Driven Work – Be part of a company dedicated to sustainability and ending waste, with technology recognized as one of TIME's Best Inventions AI Leadership – Own the vision and execution of AI that powers real-world robots diverting tons of recyclables from landfills daily. Global Team – Lead a talented, distributed ML team across the US and internationally. Fast-Paced Growth – Join at a pivotal moment as we scale deployments nationwide. Backed to Succeed – Our founders bring experience from Facebook and Bain, supported by top-tier investors. Compensation: The total cash compensation range for this role is $175,000 - $250,000. In addition to cash compensation, Glacier also offers competitive equity compensation and benefits. The final compensation for this role will depend on many individualized factors, including job-related skills and knowledge, experience level, interview performance, and other factors.

Lead and execute the computer vision strategy and manage a distributed computer vision engineering team. | 2+ years engineering management and computer vision experience, early-stage startup experience, and ability to work in San Francisco office twice weekly. | This role is hybrid and required in office on Tuesdays and Thursdays. Hey, we're Glacier! A 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 a strong technical leader to own Glacier's Computer Vision strategy and lead our Computer Vision engineering team. This is a hands-on leadership role managing a distributed team across the US and internationally. Computer Vision is the foundation of our products and plays a pivotal role in the company's success. This role reports directly to the co-founder and CTO. What you’ll do: • Own the vision, strategy, and execution of Glacier's Computer Vision roadmap • Lead and develop our distributed Computer Vision engineering team (hiring, onboarding, performance management across time zones) • Collaborate cross-functionally with Sales, Operations, and founders to align the Computer Vision roadmap with company strategy and customer needs • Serve as the technical lead for critical, AI-centric customer projects Your First 90 Days: • Own and communicate the Computer Vision roadmap (next 6 months of priorities and technical risks) • Develop deep system knowledge across our entire ML stack (which models run where and why) • Understand team strengths, career goals, and performance dynamics • Assess team capabilities and capacity (what's in our wheelhouse vs. what requires hiring) Requirements • 2+ years of engineering management experience • 2+ years of Computer Vision experience • Demonstrated track record defining and implementing roadmaps 1+ years out that incorporate experimental R&D • Firsthand experience training Computer Vision models • Experience at early-stage startups (<50 employees) • Ability to work from our San Francisco office (Dogpatch) at least two days/week Why Join Us? • Mission-Driven Work – Be part of a company dedicated to sustainability and ending waste, with technology recognized as one of TIME's Best Inventions • AI Leadership – Own the vision and execution of AI that powers real-world robots diverting tons of recyclables from landfills daily. • Global Team – Lead a talented, distributed ML team across the US and internationally. • Fast-Paced Growth – Join at a pivotal moment as we scale deployments nationwide. • Backed to Succeed – Our founders bring experience from Facebook and Bain, supported by top-tier investors. Compensation: The total cash compensation range for this role is $175,000 - $250,000. In addition to cash compensation, Glacier also offers competitive equity compensation and benefits. The final compensation for this role will depend on many individualized factors, including job-related skills and knowledge, experience level, interview performance, and other factors.

Manage end-to-end robot deployment projects, from sales support to customer acceptance, ensuring seamless execution and customer satisfaction. | Bachelor's in Engineering or equivalent, 5+ years in project management, experience with hardware products, and ability to travel for onsite deployment. | This role is hybrid and required in office on Tuesdays and Thursdays. Hey, we're Glacier! A 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. We're looking for a talented Senior Project Engineer to own robot projects end-to-end, from sales support through customer acceptance, ensuring a seamless experience for our customers and maximizing environmental impact. Key Responsibilities: Drive the entire project lifecycle as Glacier's technical representative, from sales support through customer acceptance, managing a wide variety of stakeholders and timelines with many interdependencies. Specific duties include: Sales support: Partner with sales team to propose install locations that balance customer needs with Glacier’s technical capabilities Customer management: Lead customer meetings and act as the main technical liaison with the customer throughout the project process ensuring clear communication and high satisfaction. Scheduling and coordination: Develop project schedules, track milestones, and lead coordination between internal teams and external partners to ensure seamless execution. Stakeholder and customer communication: Serve as the central point of contact for project updates, ensuring clear communication of goals, responsibilities, and progress to cross-functional teams and our customers. Team project management and collaboration: Lead and support cross-functional teams, fostering collaboration and alignment across all phases of the project lifecycle from sales support through customer kickoff, manufacturing, installation, and customer acceptance testing while resolving competing priorities. Implementation: Participate in on-site installation and calibration of robot as the main customer liaison Long-term deployment process improvements: Continue to refine, optimize, and document Glacier’s robot deployment and ops project management strategies and processes to ensure an on-time deployment each time. Requirements: Bachelor’s degree in Engineering or equivalent experience preferred plus 5 years of professional experience, including at least 5 years of experience in project management and 2 years of experience working with customers as the main point of contact Experience in leading complex projects, including customer and project management, risk mitigation, timeline coordination, and project installation Hands on experience with hardware products, including evaluating technical tradeoffs; bonus points if it’s in the robotics or manufacturing spaces Ability to travel and work on-site up to 20% of the time (up to 2 weeks at a time, typically for initial deployment or sales support), including nights and weekends Experience with 3D CAD Ability to work from our San Francisco office at least two days each week Self-starter mentality; you will be responsible for defining and managing major project timelines with little guidance, and finding creative ways to resolve a variety of potential project obstacles. Compensation: The total cash compensation range for this role is $135,000 - $175,000. In addition to cash compensation, Glacier also offers competitive equity compensation and benefits. The final compensation for this role will depend on many individualized factors, including job-related skills and knowledge, experience level, interview performance, and other factors. Why Join Us? Mission-Driven Work – Be part of a company dedicated to sustainability and ending waste, with technology recognized as one of TIME's Best Inventions. Cross-Functional Impact – Lead high-stakes projects where your decisions directly shape customer success and environmental outcomes. Hands-On Robotics Deployment – Get boots on the ground at recycling facilities, managing real robot installations that divert tons of waste from landfills every day. Fast-Paced Growth – Join at a pivotal moment as we scale our fleet from production to nationwide deployments, with robust pipeline ahead. Backed to Succeed – Our founders bring experience from Facebook and Bain, and we're supported by top-tier investors with deep technical and industry expertise. If you're excited about leading complex hardware deployments, collaborating across technical and business teams, and making a tangible environmental impact through robotics, we'd love to hear from you!

Lead technical discovery and integration planning for robotics and AI deployments, support customers through installation, and coordinate cross-team efforts to ensure successful system installs. | 3+ years in technical roles involving hardware or industrial automation, 2+ years in sales or customer-facing roles, experience with complex hardware installs and facility assessments, strong technical communication, and hands-on industrial environment familiarity. | At Glacier, we are taking on 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 hoping 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. These two products together are helping to divert tons of recyclables (literally!) from landfills every day. About us: • Our founders come from Facebook engineering and Bain consulting. • We’re backed by top-tier VCs with extensive technical and industry expertise. • We have a fleet in production and a robust pipeline of upcoming deployments. About the role: • As a Solutions Engineer at Glacier, you’ll be the technical backbone of our sales process and an essential bridge between customers, our sales team, and our hardware and software engineering teams. • You’ll lead technical discovery, design tailored integration plans, and support our customers from first conversation through installation. • Your work will shape successful installs and ensure our systems are built to deliver real value in real-world MRF environments. • You’ll report directly to our CEO (who is also our acting Head of Sales), while receiving hands-on coaching from key engineering and business leaders across the team to support your cross-functional growth. • You should be comfortable traveling up to 50% of the time—primarily within the US, with occasional international travel. Key Responsibilities: • Pre-Sales Technical Scoping: Partner closely with Sales to assess customer needs and propose viable robotics and AI deployments aligning with their facility layout and operational goals, helping our customers say ‘yes’ to even technically complex installs. You won’t just assess feasibility—you’ll help make projects work. • Facility Assessments & Integration Planning: Conduct on-site visits or remote assessments to evaluate conveyor configurations, material flows, and layout constraints. Collaborate with our customers to create tailored integration plans to ensure fit, function, and value. • Install Readiness & Cross-Team Coordination: Collaborate with internal engineering and deployment teams to ensure installations go smoothly—identifying tradeoffs, aligning on requirements, and preparing operator-ready documentation. • Product Feedback Loop: Surface insights from the field and customer interactions to inform future product iterations and deployment best practices. What you Bring: • 3+ years in technical roles such as field engineering, solutions engineering, systems integration, or industrial automation—ideally in hardware, robotics, or manufacturing environments • 2+ years of experience in sales or other customer-facing roles, with a track record of building trust, understanding stakeholder needs, and supporting technical conversations throughout the sales process • Experience scoping and supporting complex hardware installs and evaluating tradeoffs in customer-facing settings, including facility walkthroughs and layout assessments • Strong technical communication skills, with the ability to explain mechanical, electrical, or data systems clearly to both technical and non-technical stakeholders • Strong client-facing skills, with the ability to translate customer needs into deployment plans that drive deal momentum, and a “yes, if…” mindset when approaching complex sales conversations • Hands-on familiarity with industrial settings (e.g., MRFs, manufacturing lines, or automation-heavy facilities), with the confidence to navigate noisy, fast-paced environments and speak directly with operators, engineers, and leadership Nice to have • Experience with CAD tools, layout design, or facility planning • Familiarity with robotics systems, computer vision, or AI-powered automation • Background in MRF operations, recycling infrastructure, or similar industries Why Join Us? • Mission-Driven Work – Be part of a company dedicated to sustainability and ending waste. • Customer-Facing Impact – Be the technical expert guiding customers from first conversation to successful install, with a front-row seat to real-world impact. • Fast-Paced Growth – Help scale and optimize a cutting-edge robotics fleet in the recycling industry. If you're excited about designing thoughtful technical solutions, building trust with operators, and making recycling smarter, we’d love to hear from you! The OTE (on-target earnings) cash compensation range for this role is $110,000–$150,000, which includes a base salary in the range of $100,000–$130,000 and a performance-based bonus. In addition to cash compensation, Glacier also offers competitive equity and benefits. Final compensation will depend on several individualized factors, including job-related skills, experience level, and interview performance.