Sales Engineer, Data

Resonate

2d • Remote

About The Position

Resonate is a leading provider of high-quality, AI-powered consumer data, intelligence, and technology, empowering marketers to create a more personalized world that increases customer acquisition and lifetime value. Our SaaS platform, Ignite, and our Data-as-a-Service (DaaS) offerings provide unparalleled insights into consumer motivations, values, and behaviors, enabling our clients to connect with their target audiences in more meaningful and effective ways. We are a dynamic and fast-growing company seeking passionate and innovative individuals to join our team!
The best sales engineers don't win deals by demoing a product. They win by understanding a client's problem better than the client has articulated it, then designing something credible enough that a senior stakeholder will bet budget on it.
At Resonate, we help enterprise brands understand not just who their customers are, but why they behave the way they do. This role is the technical and data authority in the room when brand, agency, and media clients are deciding whether to trust that data. You'll partner with Sales Executives to run discovery, scope and design the solution, and be the reason a skeptical stakeholder says yes.
It's an individual contributor role with a high degree of autonomy. You'll own the technical direction of your own deals, and you'll be the one carrying what you learn in front of clients back into Research and Product.

Requirements

• Around 5+ years in technical pre-sales, sales engineering, or solutions architecture, ideally with data, identity, or modeling work in the mix
• A genuinely consultative approach - you lead discovery, diagnose the underlying problem, and design around it. A feature tour isn't the job
• Working knowledge of the adtech, martech, and data ecosystems
• Expert knowledge of the privacy regulations around handling first-party data
• Deep familiarity with data append deliveries, including file matching and the match rate conversations that come with them
• Strong fluency with data concepts - data lakes, APIs, MCP (Model Context Protocol), PII handling and identity resolution, and the activation endpoints where client data ends up downstream - plus the ability to get up to speed quickly on a complex, proprietary data asset
• A track record of building credibility with senior marketing, insights, and commercial stakeholders rather than only technical buyers, which comes down to presenting and writing clearly about technical subject matter
• Comfort operating with a high degree of autonomy in a growth-stage environment

Nice To Haves

• Hands-on experience with Snowflake, AWS, and Box, and with activation platforms such as The Trade Desk, Adobe, Google, and Meta
• An 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 programmatic players like DSPs, DMPs, and data providers
• A degree in computer science, engineering, statistics, business, or a related field. Equivalent practical experience counts just as much.

Responsibilities

• Leading technical discovery with prospects - their business problem, their data environment, and how they'll measure success - before anyone proposes a solution
• Scoping and designing solutions against client requirements, pulling in internal teams to build what's actually needed to win the deal, and owning the technical response to RFPs and RFIs
• Acting as a trusted advisor to senior marketing, insights, and commercial stakeholders, translating technical requirements and trade-offs into business decisions they can make
• Building and delivering the technical presentations and demonstrations that carry the deal, from remote briefings through in-person working sessions with senior people at leading brands, agencies, and media companies - covering the platform, our data, architecture, methodology, and real case studies
• Running pilots, proof of concepts, and technical data testing, then leading the data assessment and implementation engagements that follow
• Carrying Resonate's point of view on the things marketers actually worry about - privacy, identity, attribution - into client conversations, industry events, the trade press, and our internal knowledge library
• Bringing client needs and platform enhancement requests back to our Research and Product teams, where they carry weight

Benefits

• Uncapped growth potential
• Chance to have a meaningful impact on the company
• Opportunity to work on cutting-edge, AI-powered marketing data and identity solutions
• Competitive 401(k) match
• Open PTO policy

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed