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Resonate

Sales Engineer, Data

United StatesmidAdded today

About this role

Resonate seeks a Sales Engineer to serve as the technical and data authority for enterprise clients evaluating AI-powered consumer data solutions. You'll lead discovery, design custom solutions, and deliver technical presentations that build credibility with senior marketing and commercial stakeholders.

What you'll do

  • Conduct technical discovery with prospects to understand business problems, data environments, and success metrics
  • Scope and design solutions, own RFP/RFI responses, and coordinate internal teams to deliver what's needed to win deals
  • Act as trusted advisor to senior marketing and commercial stakeholders, translating technical requirements into business decisions
  • Build and deliver technical presentations, demos, and case studies to brands, agencies, and media companies
  • Run pilots, POCs, and technical data testing, then lead implementation engagements
  • Bring client feedback and platform enhancement requests back to Research and Product teams

What they're looking for

  • Technical pre-sales and solutions architecture (5+ years)
  • Data concepts: data lakes, APIs, PII handling, identity resolution
  • AdTech, martech, and data ecosystem knowledge
  • Privacy regulations and first-party data compliance
  • Data append deliveries and match rate analysis
  • Snowflake, AWS, Box platforms
  • Activation platforms: The Trade Desk, Adobe, Google, Meta
  • Clear technical writing and presentation to non-technical stakeholders
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Resonate

Resonate builds microservices and data pipelines for consumer data processing. The company is hiring Full Stack Software Developers to create and enhance these backend services and support agile engineering teams.

View all jobs at Resonate

Likely interview questions

  • Walk us through a discovery you led that revealed a client's actual problem was different from what they initially stated—how did that change your solution design?
  • How do you approach explaining complex data concepts like match rates and identity resolution to senior marketing executives without technical backgrounds?
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