Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Resonate

Solutions Engineer, Data

Resonate

. Lead technical discovery with prospects regarding business problems, data environments, and success measurement .

Posted 11/4/2026full-timeRemote • United StatesMid-LevelSenior💰 $120,000 - $150,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in technical pre-sales and solutions architecture, with a strong focus on data environments, privacy regulations, and consultative problem-solving. Capable of translating complex technical requirements into actionable business strategies while effectively engaging with senior stakeholders.

Highest-signal resume keywords
Technical Pre-Sales ExperienceData Privacy Regulations ExpertiseData Lakes and APIs ProficiencyConsultative Solution DesignHands-On Experience with Snowflake and AWS

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Solutions ArchitectureData Assessment and ImplementationTechnical Presentation SkillsData Enhancement TechniquesModel Context Protocol (MCP)Identity ResolutionData Append DeliveriesMarketing Analytics SoftwareData Science TechniquesTechnical Writing
Soft Skills
Consultative ApproachProblem DiagnosisCredibility BuildingAutonomous OperationClear Communication
Tools & Technologies
SnowflakeAWSBoxThe Trade DeskAdobeGoogleMeta
Industry Keywords
AdtechMartechData EcosystemsFirst-Party Data HandlingDSPsDMPsData Providers

Tech Stack

Tools & technologies
AWSSnowflake

About the role

Key responsibilities & impact
  • Lead technical discovery with prospects regarding business problems, data environments, and success measurement
  • Scope and design solutions against client requirements
  • Coordinate internal teams to build solutions needed to win deals
  • Own technical responses to RFPs and RFIs
  • Advise senior marketing, insights, and commercial stakeholders
  • Translate technical requirements and trade-offs into business decisions
  • Build and deliver technical presentations and demonstrations for brands, agencies, and media companies
  • Cover the platform, data, architecture, methodology, and case studies in client presentations
  • Run pilots, proofs of concept, and technical data testing
  • Lead data assessment and implementation engagements
  • Represent Resonate’s perspective on privacy, identity, and attribution in client conversations, industry events, trade press, and internal knowledge resources
  • Bring client needs and platform enhancement requests to Research and Product teams

Requirements

What you’ll need
  • Around 5+ years in technical pre-sales, sales engineering, or solutions architecture, ideally with data, identity, or modeling work in the mix
  • Consultative approach to discovery, problem diagnosis, and solution design
  • Working knowledge of the adtech, martech, and data ecosystems
  • Expert knowledge of privacy regulations around handling first-party data
  • Deep familiarity with data append deliveries, including file matching and match rate conversations
  • Strong fluency with data lakes, APIs, MCP (Model Context Protocol), PII handling, identity resolution, and activation endpoints
  • Ability to quickly learn a complex, proprietary data asset
  • Track record of building credibility with senior marketing, insights, and commercial stakeholders
  • Ability to present and write clearly about technical subject matter
  • Comfort operating autonomously in a growth-stage environment
  • Hands-on experience with Snowflake, AWS, and Box, and activation platforms such as The Trade Desk, Adobe, Google, and Meta
  • Understanding of data science techniques and modeling best practices
  • Software experience in marketing analytics, data enhancement, marketing automation, syndicated research, or media technology
  • Knowledge of the martech vendor ecosystem, especially DSPs, DMPs, and data providers
  • A degree in computer science, engineering, statistics, business, or a related field is a strong signal; equivalent practical experience counts just as much

Benefits

Comp & perks
  • Medical, dental, and vision coverage, including HSA
  • Company-paid disability and life insurance with a life insurance buy-up option
  • 401(k) with company match
  • Flexible PTO plus 10 paid holidays
  • Paid parental leave
  • Access to wellbeing and employee assistance programs, including free and unlimited access to 20+ health professionals and wellbeing coaches for you and your family members
  • Remote-first work with genuine flexibility
  • Travel for client and industry events