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84.51°

Director, Product Management – Audience & Measurement (P4127)

Sorry, this job was removed at 02:13 p.m. (CST) on Monday, Feb 23, 2026
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In-Office
Chicago, IL, USA
157K-274K Annually
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In-Office
Chicago, IL, USA
157K-274K Annually

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84.51° Overview:

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.

Join us at 84.51°!

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The Director, Product Management – Audience & Measurement owns the end‑to‑end product vision, strategy, and delivery for KPM’s scaled audience creation pipelines and activation measurement pipelines, along with the data science methodologies that underpin them. This leader ensures the accuracy, reliability, and scalability of the capabilities that power all audience targeting and performance measurement across KPM.

You will partner deeply with Commercial Strategy & Activation, Data Science, Engineering, Media Operations, and other product domains to understand customer and market needs, then translate them into scalable, science‑backed capabilities that can be seamlessly deployed across KPM products. You will lead a team of Product Managers, coaching them to deliver measurable business and customer impact while advancing the maturity of 84.51°'s audience and measurement capabilities.

This role is ideal for a strategic, technically fluent product leader experienced with data science–heavy capabilities, AdTech/MarTech ecosystems, and scaling mission‑critical pipelines.

RESPONSIBILITIES

Product Strategy & Vision

  • Own the long‑term strategy for audience creation and activation measurement capabilities across KPM.
  • Define a cohesive roadmap that unifies data science methodologies and scalable platform capabilities into a repeatable and efficient deployment model.
  • Monitor industry trends (audience science, attribution, incrementality, retail media) to inform future product direction.

Scaled Science Pipeline Ownership

  • Oversee the scaled science pipelines that generate audiences, model scores, and campaign measurement outputs.
  • Ensure pipelines are reliable, efficient, and operate with rigorous governance and data quality standards.
  • Drive continuous pipeline innovation with Data Science and Engineering to improve accuracy, performance, and automation.

Methodology Leadership

  • Own and advance measurement methodologies (e.g., lift, incrementality approaches, attribution science).
  • Drive methodology innovation, ensuring alignment with evolving market standards and KPM’s commercial strategy.
  • Champion transparency, scientific rigor, and repeatability across all measurement outputs.

Cross‑Functional Leadership

  • Collaborate with Commercial Strategy & Activation to deeply understand customer needs and ensure our capabilities address market gaps.
  • Partner with Engineering to define scalable, extensible APIs and supporting technical architecture.
  • Align with cross‑domain product peers so audience & measurement capabilities integrate seamlessly across KPM products.

Execution & Delivery

  • Guide your team to deliver against roadmap commitments with clarity, focus, and disciplined prioritization.
  • Ensure your products meet high standards for scalability, performance, and technical architecture suitability.
  • Maintain accountability for outcomes, not just output, by measuring and communicating the value delivered to customers and the business.

People Leadership

  • Lead, mentor, and develop a team of Product Managers.
  • Provide coaching on product management, stakeholder influence, strategic thinking, and technical fluency.
  • Build a strong, empowered team culture centered on collaboration, accountability, and continuous learning.

BASIC QUALIFICATIONS

  • 8+ years of product management experience, including significant experience owning complex, technical, data or ML‑driven products.
  • Proven success leading and developing Product Managers or other direct reports.
  • Demonstrated ability to define product strategy, influence cross‑functional partners, and drive measurable business outcomes.
  • Strong technical fluency, including understanding of machine learning concepts, API‑based architectures, and data pipelines.
  • Experience operating in ambiguous environments and providing clarity, direction, and prioritization.
  • Excellent communication, storytelling, and stakeholder‑management skills.

PREFERRED QUALIFICATIONS

  • Experience in AdTech/MarTech, retail media, or related data‑driven marketing ecosystems.
  • Hands‑on experience collaborating with Data Science teams on model development, measurement frameworks, or experimentation design.
  • Familiarity with identity resolution, privacy‑preserving data practices, and cross‑channel measurement.
  • Proven ability to define and scale capabilities that power multiple downstream product experiences (vs. owning front‑end or UI).

WHO WILL LOVE THIS ROLE

  • Leaders with a capabilities mindset who enjoy building foundational components used across multiple products.
  • Product thinkers energized by data science, measurement science, and scaled technical systems.
  • People‑first leaders who develop high‑trust teams and coach PMs to excel in complex technical domains.
  • Strategic doers who can both set bold vision and drive high‑quality execution.

#LI-EB1

Pay Transparency and Benefits

  • The stated salary range represents the entire span applicable across all geographic markets from lowest to highest.  Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
  • Below is a list of some of the benefits we offer our associates:
    • Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
    • Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
    • Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Pay Range
$157,000$273,750 USD

84.51° Chicago, Illinois, USA Office

433 W Van Buren St, Suite 610, Chicago, IL, United States, 60606

84.51° Deerfield, Illinois, USA Office

540 Lake Cook Road, Suite 100, Deerfield, IL, United States, 60015

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

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