
Data and Robotics Operations Analyst - 100% remote - Latin America based
Job Description
This is a fully remote opportunity for candidates based in Latin America.
Shift: 3:00 PM - 11:00 PM Pacific Time
Glacier is a Series A startup based in San Francisco that builds in-house computer vision models to power two core products:
a robot that identifies and sorts materials inside recycling facilities
an analytics system that tracks recyclables and reports metrics to key stakeholders in the industry.
These technologies are already helping to divert tons of recyclables (literally!) from landfills every day.
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 thrilled to expand our incredible team with a dedicated Data and Robotics Operations Analysts based in Latin America.
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 several machines in production and a robust pipeline of upcoming deployments.
Here's where your expertise comes into play:
We’re looking for a detail-oriented individual to help keep our growing fleet of robots operational and ensure their success in the field. You will play a crucial role in monitoring our systems and reporting key insights to enable swift issue resolution and support new deployments.
Your responsibilities:
Answer inbound customer calls, conduct first-round troubleshooting, and communicate findings clearly and professionally using defined scripts and guidelines
Produce accurate and error-free internal and external reports in English for both technical and non-technical audiences, including documentation to support customer acceptance testing procedures
Monitor the Scanner and Robotic fleet by running a set of queries and following defined processes.
Routing anomalies in robot behavior or other data sources to the correct internal escalation teams to support customer issue resolution.
Support the success of new robot installations and scanner deployments through meticulous monitoring of robot behavior and data evaluations.
Requirements:
2+ years of experience in a role focused on data analysis, operations analysis, or product support, specifically involving data monitoring and reporting.
Proven ability to meticulously monitor data, identify anomalies, and follow defined processes with exceptional attention to detail.
Comfort and experience working with software, computer, or electromechanical systems in a diagnostic or support capacity.
English Fluency (B2 or higher), as you will be working with a US-based team.
Experience working with US companies or clients is a plus.
Why Join Us?
Mission-Driven Work – Be part of a company dedicated to sustainability and ending waste.
Cross-Functional Impact – Work closely with engineering and field operations to solve complex problems with meaningful outcomes.
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.
Role Specifics:
Contract position for 6-12 months with a monthly fixed rate
Fully remote shift: 3 pm - 11 pm PT
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Job Details
- Category
- Operations
- Employment Type
- Contract
- Location
- Buenos Aires, Argentina (Remote)
- Posted
About Glacier
Glacier's mission is to end waste. Sound ambitious? We agree. But the UN estimates that we only have until 2030 to change our consumption patterns before we do irreversible damage to the environment, so we’re of the opinion that now is the time for big bets. We’re starting in the world of recycling, which has a huge opportunity for impact. Americans send 1.4 million tons of waste to recycling facilities every week (that’s about 4 Empire State Buildings, or 1.5 Golden Gate Bridges). We’re also really bad at it: 25% of what we put in our recycling bins isn’t even recyclable. These recycling facilities make a living by sorting our jumbled-up waste and they need to do it cheaply and accurately. Otherwise they go out of business and our recycling goes straight to the landfill. Even so, recycling facilities today use processes that are highly manual, expensive, and error prone. We plan to revolutionize the way these facilities use technology, to make them more streamlined, accurate, and profitable - which means more recyclables avoid the landfill, and more of our natural resources are protected. Our growing team draws from the brightest and most passionate professionals across robotics, manufacturing, software, AI, and market strategy. We’re united by our deep-rooted passion to make a big environmental impact, and we’re looking for other mission-driven, creative thinkers to help us right the ship on this truly global issue.
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