Founding Sales Engineer

ClarasightLisbon, MA

About The Position

Clarasight is hiring our first Sales Engineer to help us win the deals that will define the company and category for years to come. Your primary responsibility is to help us win complex enterprise deals. You will own the technical side of our most important opportunities, turning ambiguous customer problems into clear, compelling solutions that transform prospects into believers not just buyers. At the same time, you’ll define how we do this at scale: how we run demos, how we prove value, and how customer needs shape the product. If you’ve ever wanted to be the person who writes the playbook instead of inheriting it, and sees the direct impact on revenue and product, this is that role.

Requirements

  • You’ve been the technical lead on complex enterprise deals (Solutions Engineer, Sales Engineer, or similar) and know what it takes to get them over the line
  • You’re comfortable owning outcomes, taking responsibility for whether deals move forward, not just your part in the process
  • You can run discovery, design solutions, and deliver demos that directly influence buying decisions
  • You’re hands-on: comfortable writing code (Python, JavaScript, or similar) to prototype integrations, manipulate data, or validate workflows
  • You operate well in ambiguity and can move quickly with imperfect information
  • You think in systems - you don’t just solve one deal, you build ways to solve many
  • You communicate clearly and confidently with both technical teams and senior business stakeholders

Nice To Haves

  • You have knowledge of the tech ecosystem we typically encounter (e.g. TMC, OBT, Expense, Card)

Responsibilities

  • Partner with Sales to lead technical discovery, solution design, demo and technical deal strategy
  • Deliver high-impact demos and proof of concepts that clearly show business value
  • Act as the technical voice in complex, multi-stakeholder sales cycles
  • Define and refine our demo, proof-of-value, and technical validation approach
  • Create repeatable assets and workflows that improve win rates without slowing us down
  • Establish the foundation of a scalable presales function
  • Translate customer needs into data models, integrations, and workflows
  • Prototype lightweight solutions (scripts, integrations, AI workflows) where needed
  • Ensure what we sell is grounded in what we can deliver
  • Bring structured, high-signal feedback from deals into Product and Engineering
  • Identify patterns across customers that should be productized
  • Help refine how we position and package the product across use cases
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