CentralReachHiring

Senior Sales Engineer, Data Products

  • Remote, United States
  • Senior
  • Posted 3 days ago
In one line

Technical sales role in a small data products team inside a larger software company, owning evaluations from discovery to close.

About the role

The team runs like a startup within the company, writing its own playbook as it builds. The work shapes product direction and how data deals are sold.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Advanced BI, Data Warehouse, APIs, Benchmarking, LLMs, Code copilots, Semantic search
Posted
26 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Partner with account managers and new business executives on strategy, qualification, deal planning and stakeholders
  • Run technical discovery on architecture, workflows, pain points and decision criteria, then design solutions across BI, data warehouse, APIs
  • Deliver demos tied to measurable outcomes, scope proofs of concept with success criteria set up front, and drive each to a clear yes or no
  • Build the business case with TCO and ROI comparisons, handle technical objections, and create reusable evaluation plans and ROI models
  • Feed structured input back to product and engineering, and support handoff after close

What they look for

  • A track record of evaluations that ended in closed deals
  • Comfortable discussing business outcomes with a CFO and data architecture with a head of data
  • Low tolerance for heavy process and a high sense of ownership; willing to challenge weak requirements and end poorly scoped evaluations earl
  • Uses AI tooling such as LLMs, code copilots and semantic search as part of the daily workflow

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Questions about this job

Is this job fully remote, and from where?

The posting lists it as remote for people in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a senior role. The posting asks for: a track record of evaluations that ended in closed deals; comfortable discussing business outcomes with a CFO and data architecture with a head of data; low tolerance for heavy process and a high sense of ownership; willing to challenge weak requirements and end poorly scoped evaluations earl. Skills it names include Advanced BI, Data Warehouse, APIs, Benchmarking.

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