Reindeer- Value Engineer

Value Engineering Partner We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact. We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in. We are a well-funded, early-stage startup, building our Value Engineering function from the ground up. This role is for a hands-on, technically sharp partner who moves fast, loves building from scratch, and works closely with founders, Product, and R&D to win complex enterprise deals. You'll own the technical side of the sales cycle, from discovery through Proof of Value and close, while helping shape how our presales function scales. Your Impact Technical Discovery and Solution Design Lead technical discovery with prospects to understand workflows, requirements, and success criteriaTranslate business problems into scalable AI-driven solutionsAct as a trusted advisor throughout the sales cycle Demos and Proof of Concept Build tailored demos that reflect real customer workflowsRun end-to-end POCs to validate fit and business valueCommunicate technical architecture and expected outcomes clearly Sales Support Own RFP and RFI responsesSupport architecture, integration, and security discussionsPartner with Sales to drive deals forward and differentiate Reindeer Cross-functional Collaboration Turn customer requirements into actionable product feedbackWork with R&D for clean presales-to-implementation handoffsHelp build repeatable solution patterns and a presales playbook What It Takes 5+ years in Sales Engineering or Presales or Value EngineeringExperience with enterprise customers and complex sales cyclesStrong ability to translate customer needs into technical solutionsHands-on skills with demos, prototypes, APIs, integrations, or system architectureExcellent communication and presentation skillsSolid understanding of AI concepts and enterprise applicationsHigh adoption of modern AI tools in daily work Nice to Have Experience with process mining, workflow mapping, or operational analyticsFamiliarity with enterprise platformsFinancial services industry experience Compensation The expected salary for this role is $200,000 to $260,000 OTE. This is a good-faith estimate but does not include equity or other forms of compensation. Pay will be based on experience level, and those outside the salary band are welcome to apply.