Senior Value Engineer - Real-Time Data & ROI (Pre-Sales)

SingleStore-LinkedIn

United States

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

SingleStore is seeking a Lead Value Engineer in the United States to partner with sales and solutions engineers. You will identify customer pain points and articulate value through demonstrations, ROI models, and proof of concepts.

You will interact with executives, understand data challenges, and help position SingleStore as the real-time data platform. Requires 7+ years in value engineering or pre-sales and strong SQL/Python skills.

Qualifications

  • Masters or MBA preferred with 7+ years in technical pre-sales or value engineering.
  • Ability to explain complex concepts to non-technical audiences.
  • Experience negotiating complex, value-based deals with executives.
  • Proven track record in large-scale data warehousing or distributed DB environments.

Responsibilities

  • Engage with current and prospective clients to understand technical and business challenges.
  • Present and demonstrate SingleStore solutions to Fortune 50 companies.
  • Provide feedback to product teams from client interactions.
  • Develop and validate TCO/ROI models showing business impact.
  • Stay current on database tech and SingleStore offerings.
  • Collaborate with sales, SEs, and product management to close deals.

Skills

Technical pre-sales
Value engineering
C-suite communication
ROI/TOC modeling
Presentations
Deals negotiation
Distributed DB/warehousing
SQL proficiency
Python/Excel analytics

Education

Masters in related field
MBA or advanced degree

Tools

ANSI SQL
Excel
Python

Job description

SingleStore is seeking a Lead Value Engineer in the United States to partner with sales and solutions engineers. You will identify customer pain points and articulate value through demonstrations, ROI models, and proof of concepts.

You will interact with executives, understand data challenges, and help position SingleStore as the real-time data platform. Requires 7+ years in value engineering or pre-sales and strong SQL/Python skills.

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