Polk Audience Applications Product Manager

Key Responsibilities

• Own the vision, roadmap, and day-to-day execution for audience application products serving dealerships, dealer groups, OEM retail teams, and automotive retail marketers.
• Define end-to-end workflows for users to explore audiences, size opportunities, build/choose packages, and take action.
• Partner with stakeholders across sales, customer success, data science, and engineering to align priorities and deliver measurable outcomes.

Automotive Audience Strategy & Packaging

• Build and evolve automotive audience strategies and packages tailored to dealership/retail use cases, available through an ecommerce platform.
• Define and maintain a scalable audience taxonomy and packaging framework (naming conventions, inclusion logic, guardrails, tiering, refresh cadence).
• Create enablement artifacts (internal and customer-facing) that clarify what each package is for, when to use it, and what “good” performance looks like.
• Establish guardrails for responsible AI and privacy-safe output in partnership with legal/privacy and security teams.
• Run user research with dealerships/retail marketers and translate insights into product improvements.
• Lead cross-functional delivery across engineering, data science, design, privacy/legal, product marketing, and customer-facing teams.
• Capture and communicate progress against key metrics and milestones.

Required Qualifications

• 2+ years of product management experience in martech/adtech, data products, analytics platforms, or audience/segmentation tools.
• Strong understanding of automotive retail/dealership marketing use cases (in-market targeting, conquest, retention/service, lifecycle marketing).
• Proven ability to translate complex data into simple, decision-oriented user experiences and product packaging.
• Experience delivering AI/ML-powered product features (recommendations, insights, natural-language interfaces, decision-support tools).
• Strong communication skills—able to align diverse stakeholders and influence outcomes without direct authority.

Preferred Qualifications

• Experience building self-service planning tools (audience builders, campaign planners, market sizing, opportunity scoring).
• Familiarity with responsible AI practices (evaluation, hallucination mitigation, policy controls, human-in-the-loop design).
• Exposure to dealer advertising workflows and platforms (agency processes, co-op constraints, local market planning, CRM/marketing automation integrations).