Solution Engineer

Solution Engineer

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.

Education

Required: Education in Geographic Information Systems, Geomatics, Geospatial Science, Environmental Engineering, or a similar technical/scientific field.

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.

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

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.