paycor
Senior Product Manager, Data, CDP & Analytics
DriveCentric, Inc.
St. Louis, USA
Full-time
Senior Level
Onsite
Discovered 1 weeks ago
Free
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- The CDP. DriveCentric's customer data platform — ingestion, unification, audience modeling, and activation — productized for dealer operators and consumed by every internal product team. One platform, one roadmap, one owner.
- Identity and consent. The identity graph that resolves dealer customers across DMS, CRM, web, and engagement signals — deterministic and probabilistic matching, individual and household, with a clean consent and privacy management model. Every product and every AI agent at DC depends on it.
- Modern analytics. The dealer-facing analytics surface. Embedded reporting, dashboards, and self-serve exploration that dealers use to run their business — not the legacy reporting story we are retiring.
- Outcomes that matter. Data activation rate, identity match precision and recall, dashboard MAU and stickiness, and agent personalization lift attributable to identity signal. You define the metric stack, instrument it, and report against it.
- The customer relationship for data. You are the product face of DriveCentric to the people in dealerships who consume data — GMs, BDC managers, marketing directors, and the operators downstream. You will run a dealer data council and be the most trusted voice in the company on what dealers actually need from their data.
- AI-native by default. You partner with our AI Labs team and our engineering org to ship identity-aware, data-driven agentic capabilities. You own the data layer as a product. Engineering builds the infrastructure. AI Labs builds the agents. You define what we are building and why.
- Customer-zero culture. PMs at DriveCentric spend time with the people who use our products. For data, that means dealer GMs, BDC managers, marketing operators, and the internal vertical PMs who depend on you. If you only want to build for engineers, this is not the role.
- Lean and dense. Small team, high talent density, AI augmentation everywhere. We do not hire to fill org charts. We hire to multiply the leverage of the people already here.
- Direct exposure. You report to the VP of Product and have weekly skip-level access to the CPBO. You will work directly with the VP of Engineering and the AI Labs lead. No political layers.
- 5+ years of product management. With at least 3 years building productized CDP, identity, embedded analytics, or comparable data platform products at a B2B SaaS company. Pure data engineering or analytics engineering tracks without shipping product to a non-developer buyer will not clear the bar.
- Demonstrated AI shipping history. You have shipped LLM-, agent-, or AI-powered features in production. You can walk us through the architecture, the data and identity signal it depended on, the evals, the observability story, the failures, and what you would do differently. We will ask.
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