Description JOB DESCRIPTION – Product Solution Engineer, Product Solution Engineering About Intelex At Intelex, we’re not just building software; we’re empowering organizations worldwide to create safer, more sustainable, and higher-performing workplaces. As a global leader in Environment, Health, Safety (EHS), Quality, and Sustainability Management Software, Intelex is dedicated to transforming the way companies manage workplace safety, compliance, and operational excellence. Our technology enables companies to proactively manage risk to keep people and the planet safe. About the role The Product Solution Engineering Team sits at the intersection of customer pain and product strategy. We've evolved from traditional scrum teams to cross-functional squads building features that solve real customer problems at scale. We also partner with our ecosystem to extend capabilities beyond our core platform, ensuring a cohesive experience for customers. As a Product Solution Engineer (PSE), you'll build scalable configuration solutions using low-code platforms (primarily the Intelex platform) and experiment with AI-assisted development to validate product hypotheses faster. You'll work embedded in product squads, translating customer requirements into technical solutions that influence our roadmap. For this senior role, you'll also bring deep platform expertise to guide build-versus-partner decisions and ensure our partner ecosystem aligns with product strategy. How you’ll make a difference: Solution Validation & Building (50%) Design and build advanced configuration solutions on the Intelex platform for complex customer use cases Progress solutions through Build 1 (5 customers) → Build 2 (50 customers) → Build 3 (500&43; customers) maturity stages Identify patterns across customer requirements to build generalizable solutions rather than one-offs Partner with Engineering teams from day one to ensure smooth productization handoff Translate customer pain points into technical requirements for product squads Participate in Voice of Customer (VOC) sessions and occasional customer site visits Platform & Partner Strategy (30%) Contribute to "build versus partner" decisions for applications and integrations, leveraging your deep understanding of Intelex platform capabilities and partner ecosystem Review design of partner-developed applications to ensure platform integrity, scalability, and alignment with product strategy Provide technical guidance on partner integration feasibility and architecture Educate internal teams (Services, Support, Sales) on Intelex platform capabilities and partner offerings Collaborate with Partnership Org to establish partner development guidelines Innovation & Team Leadership (20%) Experiment with AI-assisted development tools (Cursor, Claude Code, etc.) to build rapid prototypes for validation Mentor PSE team members on Intelex platform best practices, scalable configuration patterns, and common pitfalls Contribute to our evolving Rapid Validation Playbook based on what works in practice Share insights that inform partner development frameworks and integration standards What you bring to the table: Required Experience & Skills 4-6 years building solutions on low-code/no-code platforms (e.g., Salesforce, ServiceNow, OutSystems, Mendix, PowerApps, Intelex) 2&43; years Intelex platform experience strongly preferred - we need deep platform expertise to guide partner decisions and mentor the team Proven ability to scale solutions from prototype to production—you've seen what happens when one-off solutions need to serve hundreds of customers Strong systems thinking: you naturally identify patterns across use cases and design for generalization, not just the immediate request Experience working in product-focused environments where iteration speed matters more than architectural purity Partner ecosystem familiarity: you've implemented partner integrations or applications and understand how they extend platform capabilities Comfortable with ambiguity and rapid change—our processes are defined but evolving, and you'll help shape them Preferred Skills Understanding of low-code platforms beyond Intelex (Salesforce, ServiceNow, etc.) - helpful for bringing external best practices EHSQ domain knowledge (understanding of compliance, auditing, incident management, etc.) Familiarity with AI-assisted development tools (GitHub Copilot, Goose, Cursor, Claude Code, Replit, Lovable, etc.) Basic understanding of web technologies (HTML, CSS, JavaScript) for customization work Experience with remote collaboration across time zones Work Traits We Value Pragmatic builder: You'd rather ship a working solution today than a perfectly architected solution next quarter Customer-obsessed: You care deeply about solving real problems, not just checking technical boxes Intellectually curious: You experiment with new tools and approaches, then share what you learn Collaborative: You work well embedded in product squads and don't need to be the hero Resilient: You're comfortable being uncomfortable – rapid iteration means things change, and that excites rather than drains you Education Bachelor's degree in Computer Science, Information Systems, or related technical field. Equivalent practical experience building platform-based solutions will also be considered. Who This Role Is NOT For Be honest with yourself before applying. This role isn't a fit if you: Want to write production code in Java/Python/C# all day (that's Engineering's role) Need highly structured processes and clear 12-month roadmaps (we're iterating rapidly) Prefer deep technical architecture over pragmatic solutions (we optimize for speed of learning) View this as pure partner management (you'll contribute to partner strategy, but 70% of your time is building and validating product solutions) How to Apply Send your resume and a brief note (3-4 paragraphs) answering these questions: 1. What low-code/no-code platform(s) have you built solutions on, and what's the most complex use case you've scaled from prototype to production? 2. Describe a time when you had to generalize a customer-specific requirement into a solution that could serve many customers. What was your approach? 3. Have you experimented with AI-assisted development tools? If yes, what did you build and what did you learn? Bonus question for Intelex platform experts: 4. What's the most complex Intelex configuration you've built, and what did you learn about scaling it from one customer to many? We value thoughtful, specific answers over generic cover letters. Show us how you think, not just what you've done.