Solutions Engineer, Data

The best solutions 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. What you'll be doing 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 What we're looking for 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 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…