Value Engineer

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.

• 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

• 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

• Own RFP and RFI responses

• Support architecture, integration, and security discussions

• Partner with Sales to drive deals forward and differentiate Reindeer

• 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