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Polk Audience Product Manager

Job in Livonia, Wayne County, Michigan, 48153, USA
Listing for: automotiveMastermind Inc.
Full Time position
Listed on 2026-09-11
Job specializations:
  • IT/Tech
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Polk Audience Applications Product Manager Skip to main content
** You may choose to display a cookie banner on the external site. You must specify the message in the cookie banner and may add a link to a relevant policy. If you are unfamiliar with these requirements, please seek the advice of legal counsel.**#Polk Audience Applications Product Manager page is loaded## Polk Audience Applications Product Manager Apply locations:
Michigan, UStime type:
Full time posted on:
Posted Todayjob requisition :
243

We’re hiring a product lead for our
** Polk Audience application products
** focused on
** automotive dealership and retail marketing experiences**. This role owns how automotive retailers and their partners
** discover, understand, package, and activate
** audiences—turning complex automotive data signals into clear strategies and ready-to-use audience packages.

A core component of this role is developing
** Generative AI-powered capabilities
** that help users quickly identify
** addressable markets
** and uncover
** high-value marketing opportunities
** within an evolving
** audience taxonomy
**** Key Responsibilities
**** Product Strategy & Roadmap (Audience Applications)
*** 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).
* Collaborate with data science to ensure audiences are
** performant, explainable, and measurable**, and that packaging choices map to real-world dealer objectives and budgets.
* 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.
* Coordinate releases, stakeholder updates, and roadmap communication; manage tradeoffs across speed, quality, and compliance.
** 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…
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