We're 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.
Key ResponsibilitiesTechnical Discovery and Solution Design
Lead technical discovery with prospects to understand workflows, requirements, and success criteria
Translate business problems into scalable AI-driven solutions
Act as a trusted advisor throughout the sales cycle
Demos and Proof of Concept
Build tailored demos that reflect real customer workflows
Run end-to-end POCs to validate fit and business value
Communicate technical architecture and expected outcomes clearly
Sales Support
Own RFP and RFI responses
Support architecture, integration, and security discussions
Partner with Sales to drive deals forward and differentiate Reindeer
Cross-functional Collaboration
Turn customer requirements into actionable product feedback
Work with R&D for clean presales-to-implementation handoffs
Help build repeatable solution patterns and a presales playbook
5+ years in Sales Engineering or Presales or Value Engineering
Experience with enterprise customers and complex sales cycles
Strong ability to translate customer needs into technical solutions
Hands-on skills with demos, prototypes, APIs, integrations, or system architecture
Excellent communication and presentation skills
Solid understanding of AI concepts and enterprise applications
High adoption of modern AI tools in daily work
Experience with process mining, workflow mapping, or operational analytics
Familiarity with enterprise platforms
Financial services industry experience
The expected salary for this role is $220,000 to $280,000 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.
What We Do
Reindeer automates backoffice workflows in industries like logistics, supply chain, banking, finance and more. The work we target is manual, time-consuming, and hard to document completely. Our approach is different because we focus on process mining before and after automation. We capture the messy, realistic side of how work gets done, train AI agents with small sample sets, and continuously retrain them with human-in-the-loop processes as your business changes. This keeps AI accurate and prevents the drift and hallucinations that cause implementations to fail. The platform adapts to whatever process creates the most friction for your team. We've successfully automated workflows like payment approvals, quote management, and document processing for Fortune 500 companies like Hellmann Worldwide Logistics and Papaya.
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