Solution Engineer at ZRG Careers Solution Engineer at ZRG Careers in Denver, Colorado Posted in 1 day ago.

Type:

full-time 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