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 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.