Data and Robotics Operations Analyst - 100% remote - Latin America based

**This is a 100% remote position for candidates based in Latin America.** **To support our physical fleet in the field, this role requires working a 40-hour week on Pacific Time (PT) across Monday, Tuesday, Wednesday, Friday, and Saturday (Thursdays and Sundays are OFF). Candidates must be comfortable with weekend morning coverage (Saturdays starting at 4:00 AM PT).** 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_](https://www.packworld.com/sustainable-packaging/recycling/article/22953724/colgatepalmolive-amazon-glacier) 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_](https://time.com/collections/best-inventions-2025/7318523/glacier-recycling-robots/) and _featured in a TIME documentary_,[ _TechCrunch_](https://techcrunch.com/podcast/glacier-is-training-ai-powered-recycling-robots/),[ _Fortune_](https://fortune.com/2024/06/12/these-ai-enabled-recycling-robots-are-helping-businesses-be-more-sustainable/), and[ _CBS_](https://www.cbsnews.com/sanfrancisco/news/glacier-recycling-robotics-ai-artificlal-intelligence-trash-waste/). **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** **Work Schedule (Pacific Time):** - Monday, Tuesday & Friday: 8:00 AM – 4:00 PM PT (8 hrs) - Wednesday: 9:00 AM – 4:00 PM PT (7 hrs) - Saturday: 4:00 AM – 1:00 PM PT (9 hrs) - Thursday & Sunday: OFF - *Total: 40 hours / week*