Solution Engineer

This is a hands-on technical role. You’ll build and adapt solutions across cloud, data, AI, geospatial, APIs, and integrations-including taking existing reference solutions and tailoring them to new customers, geographies, and use cases without relying on Engineering for every build.

This role is revenue-focused from day one, with responsibility for pipeline contribution, technical wins, and supporting the path from initial discovery through evaluation and production.

Key Responsibilities

• Drive Revenue: Partner with Account Executives to build pipeline, advance qualified opportunities, and contribute to technical wins and closed revenue.
• Identify & Qualify Opportunities: Uncover new use cases, technical entry points, and expansion opportunities while assessing business value, technical feasibility, and path to purchase.
• Lead Technical Discovery: Engage executives, architects, data, AI, cloud, GIS, security, and engineering stakeholders to understand business needs and define solution requirements.
• Design & Build Solutions: Create and adapt technical solutions, demonstrations, evaluations, and PoCs using Xoople Earth data across customer workflows.
• Own the Technical Sales Process: Develop technical win strategies, address risks and objections, build technical champions, and establish clear success criteria and production paths.
• Build Partner Integrations: Develop reference solutions and integrations across Microsoft Azure, Fabric, Foundry, Databricks, and Esri, supporting co-sell and partner engagements.
• Apply Hands-On Technical Expertise: Work with Python, SQL, REST APIs, Git, notebooks, Spark, Delta Lake, AI/ML, RAG, vector search, and agentic workflows.
• Ensure Production Readiness: Evaluate scalability, security, data quality, reliability, and integration complexity to ensure PoCs demonstrate real production value.

Education & Experience

• 7+ years of experience in Solution Engineering, Sales Engineering, Technical Pre-Sales, Cloud/Data Architecture, Data Engineering, Geospatial Analytics, or a similar enterprise technical role.
• Strong hands-on Python and SQL skills, with experience building data pipelines and analytical solutions using geospatial data.
• Working expertise across Microsoft Azure, Microsoft Fabric, Microsoft Foundry, and Databricks.
• Experience building AI agents or agentic workflows using Microsoft or Databricks technologies and enterprise data.
• Experience with enterprise geospatial platforms, ideally including Esri ArcGIS.
• Background working within the Microsoft or Databricks ecosystem, either as a vendor or technology partner.
• Experience with structured enterprise qualification methodologies such as MEDDPICC or Command of the Message.
• Ability to demonstrate technical expertise through a hands-on interview exercise, including building and presenting a solution using the Xoople API.

Candidates complete a technical exercise as part of the interview process. Finalists may be asked to build and present a working demonstration against the live Xoople API from a customer scenario, and to explain the production path behind it

40% to 50% customer-facing travel, in the room rather than on a call, plus a minimum of six trips annually to Tres Cantos, Madrid

• 7+ years of experience in Solution Engineering, Sales Engineering, Technical Pre-Sales, Cloud/Data Architecture, Data Engineering, Geospatial Analytics, or a similar enterprise technical role.
• Strong hands-on Python and SQL skills, with experience building data pipelines and analytical solutions using geospatial data.
• Working expertise across Microsoft Azure, Microsoft Fabric, Microsoft Foundry, and Databricks.
• Experience building AI agents or agentic workflows using Microsoft or Databricks technologies and enterprise data.
• Experience with enterprise geospatial platforms, ideally including Esri ArcGIS.
• Background working within the Microsoft or Databricks ecosystem, either as a vendor or technology partner.
• Experience with structured enterprise qualification methodologies such as MEDDPICC or Command of the Message.
• Ability to demonstrate technical expertise through a hands-on interview exercise, including building and presenting a solution using the Xoople API.

Candidates complete a technical exercise as part of the interview process. Finalists may be asked to build and present a working demonstration against the live Xoople API from a customer scenario, and to explain the production path behind it

40% to 50% customer-facing travel, in the room rather than on a call, plus a minimum of six trips annually to Tres Cantos, Madrid