Solutions Engineer - GIS
ROLE SUMMARY The Solution Engineer is the technical bridge between Gilytics’ engineering and GIS data teams and its customer-facing functions (Sales, Business Development, Customer Success). This role turns Pathfinder’s technical capabilities into compelling, working demonstrations and trusted technical guidance for prospects and clients, covering everything from pre-sales proof-of-concepts to live technical support and customer onboarding. Tasks KEY RESPONSIBILITIES
- Become a deep expert in the Pathfinder solution and its application across customer use cases
- Communicate Pathfinder’s capabilities clearly and persuasively in the context of user needs
- Prepare and run demo projects that showcase Pathfinder’s workflows and applications
- Prepare technical documentation and contribute content for sales and marketing materials
- Prepare technical offers and responses for public tenders
- Provide technical support, including live support to customers
- Manage and triage customer technical requests to help prioritise the product roadmap
- Design and deliver customer onboarding and training activities
- Perform holistic testing of the solution ahead of releases and client deployments
AI & AUTOMATION, EXPECTED CONTRIBUTIONS At Gilytics, every role is expected to actively adopt AI and automation tools to improve quality, speed, and impact. Below are the specific AI/automation expectations for this position.
- Use AI tools to accelerate the build of demo projects, PoCs, and tender responses
- Leverage AI writing assistants to draft and translate technical documentation and proposals
- Use AI-assisted support/triage tools to manage, categorise, and prioritise incoming customer technical requests
- Incorporate AI-assisted testing tools into holistic solution QA to catch issues before they reach clients
Requirements
EXPERIENCE
- Required: 3+ years of practical experience applying GIS to land, environmental, or infrastructure management
- 2+ years in a customer-facing role
- Demonstrable experience writing technical documentation in English; conversational English proficiency.
- Desirable: Experience in teaching or technical training activities; 2+ years working with international customers in an English-speaking context; German, Spanish, or other languages are a plus.
EDUCATION Required: Education in Geographic Information Systems, Geomatics, Geospatial Science, Environmental Engineering, or a similar technical/scientific field.
Benefits
WHAT WE OFFER A real, high-impact role from day one — you’ll work directly with leadership (CEO, CTO, GIS Data Lead) on a platform already trusted by major utilities and infrastructure clients An AI-native workplace, Microsoft Copilot, GitHub Copilot, and other AI tools are built into how we work from day one, not bolted on later Remote-first, flexible-hours culture, core hours are 10:00–15:00 CET, with full flexibility outside that window; we trust people to manage their time as professionals A small, multicultural team spanning Spain, Switzerland, LATAM, and Canada, where your work is visible and your voice matters Structured onboarding with a clear 90-day plan,no sink-or-swim, no guessing what success looks like Learning & development support tied to your own competence plan, including certifications and AI tooling upskilling Company equipment provided (laptop and the tools you need to do your job well) Vacation entitlement and leave terms in line with applicable local labour law Compensation: competitive and benchmarked to role, experience, and location GILYTICS VALUES ALIGNMENT Clients: Every decision we make must create measurable value for the people using Pathfinder. We earn trust through integrity, not just delivery. Excellence: Good enough is not good enough. Every piece of work reflects our standards quality in a B2B SaaS product is not optional, it is the product. Innovation: We challenge the status quo and act without waiting. We anticipate, move ahead, and take initiative even when the path is not fully defined. Humility: We ask questions, stay open to being wrong, and learn from errors. We update our views when we encounter better evidence.