Product Manager, Transaction Platform

Digital products play a central role in how we create value for customers, support the teams who serve them, and shape the consumer experience. Our product organization brings together small, empowered teams that move with clarity, speed, and purpose, enabling digital to be a meaningful source of advantage across our operating unit.

Our work touches on the experiences that keep the business running, including customer journeys, service delivery, sales workflows, and the systems that connect them. We are raising our standards for product craft and rebuilding the platforms behind these experiences. Product Managers play a central role in this evolution, helping teams discover the right problems, deliver meaningful solutions, and continuously improve the experiences that power our business.

If you are energized by solving real customer problems, working closely with cross-functional partners, and shaping products that make a tangible difference, we would love to meet you.

The Product Manager for Transaction Growth Platforms owns the data, identity, and machine learning foundations that power precision selling. You will shape the systems that transform raw data into high-quality segments, predictive insights, and reliable signals that guide frontline tools.

You’ll partner with data science and engineering teams to improve model accuracy, enhance data quality, and expand the features and pipelines that support experimentation and continuous learning. Your work ensures that commercial teams operate with better visibility, sharper targeting, and more precise execution.

This role is ideal for someone who thrives at the intersection of data, modeling, and product strategy, and enjoys building the platforms that make advanced decisioning possible.

• Define the user and business problems the team will solve and set measurable outcomes for success
• Lead discovery through research, data, prototyping, and experimentation
• Translate insight into a clear, prioritized roadmap and product requirements
• Work with design and engineering to deliver solutions that are valuable, usable, feasible, and aligned to strategy
• Use data and feedback to monitor performance and guide iteration
• Communicate priorities and trade-offs with clarity and conviction
• Align with partners on goals, dependencies, and measures of success
• Strengthen a culture of learning, accountability, and continuous improvement

• 2-5+ years in product management or related fields (engineering, design, data, research)
• Education:
  
  Bachelor’s degree or equivalent practical experience
• Demonstrated success shaping and shipping digital products that meet user needs and deliver business impact
• Proficiency in modern discovery and delivery practices
• Strong analytical thinking, with comfort using data and experimentation in decision-making
• Clear, compelling communication across technical and non-technical audiences
• Ability to balance multiple priorities and make thoughtful trade-offs in complex environments

• Experience with data products, ML-powered systems, or decisioning platforms
• Familiarity with segmentation logic, identity resolution, or predictive modeling concepts
• Exposure to feature engineering, model evaluation, or data quality initiatives
• Ability to turn statistical or technical insights into clear product direction
• Comfort partnering with data scientists, ML engineers, and platform teams
• Experience improving or managing experimentation infrastructure a plus
• Advanced technical degree or analytics background preferred

• Product Thinking - Connects user needs, business context, and technology into clear direction.
• Customer Insight - Builds deep understanding of behaviors and workflows; translates insight into opportunities.
• Analytical Judgment - Defines success metrics, uses data to focus the team, and applies experimentation to validate decisions.
• Influence & Communication - Brings clarity to ambiguity and guides alignment across teams.
• Execution Excellence - Balances long-term direction with near‑term delivery; ensures quality, speed, and reliability.
• Learning Mindset - Adapts to new information; embraces iteration and continuous improvement.
• Collaborative Leadership - Builds strong partnerships with engineering, design, data, and operations; fosters inclusive teamwork.