Founding Sales Engineer

ClarasightBoston, MA

About The Position

Clarasight is hiring its first Sales Engineer to help the company win deals that will define the company and category for years to come. The primary responsibility is to help win complex enterprise deals by owning the technical side of important opportunities, turning ambiguous customer problems into clear, compelling solutions. Additionally, the role involves defining how to run demos, prove value, and how customer needs shape the product, with the opportunity to write the playbook instead of inheriting it and see the direct impact on revenue and product.

Requirements

  • Have 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
  • Are comfortable owning outcomes — taking responsibility for whether deals move forward, not just your part in the process
  • Can run discovery, design solutions, and deliver demos that directly influence buying decisions
  • Are hands-on: comfortable writing code (Python, JavaScript, or similar) to prototype integrations, manipulate data, or validate workflows
  • Operate well in ambiguity and can move quickly with imperfect information
  • Think in systems — you don't just solve one deal, you build ways to solve many
  • Communicate clearly and confidently with both technical teams and senior business stakeholders

Nice To Haves

  • Knowledge of the tech ecosystem we typically encounter (e.g. TMC, OBT, Expense, Card)
  • Experience working alongside AI systems and applying human judgment to automated outputs

Responsibilities

  • Win enterprise deals (increase win rates and shorten sales cycles)
  • Partner with Sales to lead technical discovery, solution design, demo, and technical deal strategy
  • Deliver high-impact demos and proofs of concept 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
  • Design real solutions
  • 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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