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.

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

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.

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.