Dealpath
SaaS
SolutionsEngineer
“Solutions Engineer at Dealpath. Skills: technical trusted advisor, translating their pipeline, deal management, and reporting challenges into compelling Dealpath solutions, technical voice of the customer. 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 ”
Industry & Context.
translating ambiguous business problems into clear technical narratives
What They're Looking For.
Must Have
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., 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.
Nice to Have
Experience selling into commercial real estate, real estate private equity, real estate investment, or related verticals., Prior experience building reusable demo environments, technical battlecards, or SE enablement assets that other team members adopted., Has restructured how you approach complex pre-sales work with AI — persistent context for key accounts (Claude Projects or equivalent), MCP connectors pulling live Salesforce/Slack data, and multi-step generate → pressure-test → refine loops., Shares prompts and workflows with teammates and can point to specific quality improvements, not just speed gains., Familiarity with the institutional real estate investment lifecycle (acquisitions, asset management, development, fund reporting)., Bachelor's degree in a technical, business, or quantitative field, or equivalent practical experience.
What You'll Do.
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
and reporting challenges into compelling Dealpath solutions.
Design and execute proofs-of-concept that prove value against the customer's real data
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
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.
How You'll Work.
Team & Collaboration
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.; Serve as the technical voice of the customer back to Product and Engineering, surfacing patterns from your deal work that shape the roadmap.; Join a team that treats AI fluency as a craft and shares wins openly.; Shares prompts and workflows with teammates and can point to specific quality improvements, not just speed gains.
Communication Scope
able to move fluidly between a CFO conversation and an engineering whiteboard session
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