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Product Manager Adtech Jobs in Michigan (NOW HIRING)

... Management, Product, and Engineering, to understand retailers' and ad channel partners' business ... Prior AdTech, retail media, e-commerce, marketplace, or performance marketing experience, including ...

Product Manager Adtech information

What does a product manager in adtech do?

A Product Manager in Adtech is responsible for guiding the development and strategy of advertising technology products, such as platforms for buying, selling, and optimizing digital ads. They work closely with engineering, sales, and marketing teams to identify market needs, define product features, and ensure a seamless user experience. Their goal is to create innovative solutions that help advertisers and publishers maximize performance and revenue while navigating the complexities of digital advertising ecosystems.

What skills and qualifications are needed to thrive as a product manager in adtech?

To thrive as a Product Manager in Adtech, you need expertise in product lifecycle management, digital advertising concepts, data analysis, and a relevant degree such as in business, marketing, or computer science. Familiarity with ad serving platforms, programmatic advertising systems, analytics tools (like Google Analytics), and certifications such as IAB Digital Media Buying and Planning can be highly beneficial. Strong communication, stakeholder management, and strategic thinking are critical soft skills for success in this fast-evolving sector. These skills ensure effective product development, seamless collaboration, and the ability to drive innovation in the competitive adtech landscape.

How does a product manager in adtech typically collaborate with engineering and sales teams to launch new features?

As a Product Manager in Adtech, you will regularly work cross-functionally with both engineering and sales teams. You’ll translate market and client requirements into clear product specifications for engineers, ensuring technical feasibility and timely delivery. Collaboration with sales is also crucial, as they provide direct feedback from clients and help prioritize features that drive revenue. Frequent meetings, joint planning sessions, and clear documentation are key to keeping everyone aligned and ensuring successful product launches.

What is the difference between Product Manager Adtech vs Data Analyst?

AspectProduct Manager AdtechData Analyst
Required CredentialsBachelor's in Marketing, Business, or related field; experience in AdtechBachelor's in Statistics, Data Science, or related field; analytical skills
Work EnvironmentCross-functional teams, product development, marketingData analysis, reporting, data visualization
Employer & Industry UsageAdvertising agencies, tech companies, media firmsMarketing firms, tech companies, research organizations

Product Managers in Adtech focus on developing and managing advertising products, coordinating between teams to optimize ad campaigns. Data Analysts interpret data to inform business decisions. While both roles require analytical skills, Product Managers are more involved in product strategy and development, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Product Manager Adtech jobs in Michigan?

For Product Manager Adtech jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Product Manager Adtech jobs in Michigan look for?

The top searched job categories for Product Manager Adtech jobs in Michigan are:

What cities in Michigan are hiring for Product Manager Adtech jobs?

Cities in Michigan with the most Product Manager Adtech job openings:

Polk Audience Applications Product Manager

R. L. Polk Mobility LLC

Southfield, MI • On-site

$80 - $100/hr

Other

Posted 3 days ago

New


Job description

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 e-commerce 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 AIML-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).

It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.

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