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 growing our Value Engineering team. This role is for a hands-on, technically sharp builder who moves fast, is savvy with AI tools, and uses them to work smarter across the deal cycle. You’ll work 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 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

What It Takes

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

Nice to Have

Experience with process mining, workflow mapping, or operational analytics

Familiarity with enterprise platforms

Financial 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.