Value Engineer

Reposted Yesterday
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New York, NY, USA
Hybrid
220K-280K Annually
Senior level
Artificial Intelligence • Information Technology • Logistics • Software • Automation
The Role
This role involves leading technical discovery, designing solutions, building demos, and collaborating across teams to support sales cycles and customer needs.
Summary Generated by Built In

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.

Skills Required

  • 5+ years in Sales Engineering or Presales
  • 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
Am I A Good Fit?
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The Company
HQ: New York, New York
13 Employees
Year Founded: 2024

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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