Senior Solutions Engineer

About the role

Join CARTO, a leading location intelligence platform, as a Senior Solutions Engineer. In this role, you will work closely with the Sales team to understand customer challenges and goals, build solutions that address business problems, and own the technical narrative on enterprise deals. You will also communicate with various audiences, build proofs of concept, and represent CARTO at conferences and industry events. The position offers a range of benefits, including access to an employee stock options plan, private medical insurance, and flexible work hours. Key missions: Collaborer avec l'équipe de vente pour comprendre les besoins des clients et proposer des solutions adaptées.. Construire une vision de la solution qui résout un problème commercial, en guidant l'équipe de compte et en organisant les ressources internes.. Posséder le récit technique sur les affaires d'entreprise de bout en bout, y compris les discussions sur l'architecture et les revues de sécurité. Profile: - Development skills: SQL and Python in your daily work, plus enough JavaScript to put a working front end in front of a customer. Familiarity with PostGIS, REST APIs, and spatial indexes such as H3 is a plus - Communication skills: You explain complex ideas clearly and listen well enough to find what a client actually needs, not just what they asked for - Geospatial experience: 5 or more years in a customer-facing technical role, presales, GIS consultancy, or spatial data science, including a track record on enterprise deals - Collaborative spirit: A collaborative style that works well with autonomy in a flexible, fast-moving environment - Optimistic and eager: Most of all, you are optimistic, curious, smart, and keen to learn - Traditional GIS context: Familiarity with Esri, ArcGIS, or similar platforms, so you can translate between how a team works today and how they would work on CARTO - Willingness to travel: You would rather be in the room than on a call, and you are happy travelling regularly across the US, plus the occasional trip to Europe - Cloud knowledge: Hands-on experience with at least one major cloud data warehouse (BigQuery, Snowflake, Databricks, AWS Redshift, Oracle), and comfort discussing how they are secured, governed, and billed - US market knowledge: Experience supporting US enterprise or public sector buyers, and how they evaluate, procure, and secure new technology - AI fluency: You use AI chat and coding agents in your own work and can speak credibly about where LLM-based agents help, where they need guardrails, and why auditability matters to an enterprise. Curiosity counts for more here than a formal background