Marketing Knowledge Engineer

You may also know this role as: Taxonomist, Information Architect, Ontology Architect, Knowledge Architect, or Semantic Lead — we landed on \"Marketing Knowledge Engineer\" because it's the only one of these that captures what the job actually is. The Mission Marketing has a language problem. Every enterprise we work with has a dozen teams, three martech stacks, and a hundred definitions of \"customer,\" \"campaign,\" and \"conversion\" that all quietly disagree with each other. That's not a data quality issue — it's a meaning issue, and it's the reason AI systems trained on that mess produce confident nonsense. We're building a product to fix that: a context platform that gives people, AI, and every connected system a shared, governed understanding of how marketing actually works. But a platform is only as good as the knowledge model underneath it, and that's where you come in. What You'll Do Partner directly with enterprise clients — multinational, matrixed, plenty of legacy baggage — to audit, clean up, harden, and govern their semantic layer. Design governed concepts, taxonomies, ontologies, rules, and hierarchies that translate messy real-world business language into structures people, our company, AI, and connected systems can all interpret the same way. Build usable knowledge models, not just classification schemes — this is about engineering operational meaning, not maintaining a glossary. Connect business language to technical structure and governance, and hold the line when a shortcut today would create chaos in eighteen months. Operate as an embedded specialist within our Forward Deployed Marketing Engineering team — you're in the client's world, not reviewing their world from a deck. Feed what you learn in the field back into how we represent and govern marketing context as the product evolves. What You Bring Must-haves: Senior-level experience working inside large, multi-national enterprise organizations. You know how messy, political, and matrixed enterprise data and marketing operations get, because you've lived it — not because you've read about it. Real, hands-on experience designing taxonomies, ontologies, knowledge graphs, or comparable governed information models. Maintaining someone else's classification system doesn't count; building one does. The ability to translate ambiguous business language into precise, structured, technically usable definitions — and the backbone to defend those calls to stakeholders who each think their team's definition is the correct one. Genuine comfort working directly with clients. This is forward-deployed work — you're in the room, not behind the scenes. Based in, or willing to relocate to, Atlanta, GA. Nice-to-haves: Background in MarTech, marketing operations, or a marketing/data ecosystem specifically. Familiarity with semantic web or knowledge representation approaches (e.g., RDF, OWL, SKOS) or formal enterprise data governance frameworks. Experience designing knowledge structures for how AI/LLM systems consume them, not just how a human reads a glossary page. The Fine Print No visa sponsorship available for this role. This is new headcount for growth, not a backfill — you'd be defining a lot of what 'good' looks like in this seat. Why Work Here? We are what happens when a MarTech consultancy that’s spent over a decade in the trenches with Fortune-scale marketing and data teams decides to build the platform it always wished existed. We’re still a small, fast-moving team backed by Block+Tackle’s \"Special Ops for Marketing Ops\" culture — confident, hands-on, allergic to theory that doesn’t survive contact with a real client environment. If you want to shape the knowledge model at the foundation of a category-defining product instead of inheriting someone else’s spreadsheet of \"official\" definitions, this is that seat. #J-18808-Ljbffr