Solutions Engineer, Dealpath

• A technical seller at heart and equally comfortable in a discovery call with a Head of Acquisitions and in a working session with a Director of IT on SSO, data migration, or integrations
• Skilled at translating ambiguous business problems into clear technical narratives — and equally skilled at simplifying complex product capabilities for non-technical executives
• Experienced building demo environments, sample datasets, and POC plans that close deals, not just check a box
• Fluent with the modern SaaS technical stack: REST APIs, SSO/SAML, data import/export patterns, common integrations (Salesforce, Outlook, Excel, BI tools), and basic SQL
• A deliberate, evolving AI user — you can name the tools you use, the tasks you use them for, and your review process before anything reaches a customer. You're moving past one-shot prompting into persistent context, multi-step workflows, and AI as a thinking partner, and you share what's working with teammates
• Customer-obsessed, intellectually honest, and energized by a fast-moving environment where the right answer matters more than the loudest opinion
• 4+ years in Solutions Engineering, Sales Engineering, Solutions Consulting, or a comparable technical pre-sales role at a B2B SaaS company
• Demonstrated ability to lead technical discovery, design POCs, and run executive-level demos for enterprise buyers
• Working knowledge of REST APIs, SSO/SAML, data integration patterns, and common enterprise SaaS architectures
• Strong written and verbal communication; able to move fluidly between a CFO conversation and an engineering whiteboard session
• Comfort with SQL, spreadsheets, and structured data analysis sufficient to prepare customer-specific POC environments
• Consistent, deliberate use of AI tools (Claude, ChatGPT, Copilot, Gemini, or equivalent) across multiple recurring work tasks — account research, discovery prep, objection handling, RFP responses, or similar. Reviews output before it reaches a customer and applies sound judgment about what data belongs in AI tools

Desirable

• As a Solutions Engineer you will play a critical role in ensuring our prospects understand how Dealpath can solve their most critical business challenges
• You'll collaborate closely with Sales, Product, and Customer Success to design tailored solutions that showcase the value of Dealpath
• Partner with Account Executives as the technical trusted advisor across the full sales cycle — from discovery and demos to proof-of-concept design and executive readouts
• Lead tailored product demonstrations and technical deep-dives for sophisticated commercial real estate teams, translating their pipeline, deal management, and reporting challenges into compelling Dealpath solutions
• Design and execute proofs-of-concept that prove value against the customer's real data, real workflows, and real success criteria — not generic templates
• Serve as the technical voice of the customer back to Product and Engineering, surfacing patterns from your deal work that shape the roadmap
• Build and refine the Solutions Engineering playbook — discovery frameworks, demo environments, technical objection-handling guides — that scale how the team wins
• Use AI as a core part of how you work: Claude Projects, MCP connectors into Salesforce and Slack, and structured prompt workflows to research accounts, pressure-test solutions, and sharpen customer materials. You'll join a team that treats AI fluency as a craft and shares wins openly