Lead Product Owner

Rocket Companies•Detroit, MI

About The Position

The Lead Product Owner on Rocket’s Marketing Technology team leads product ownership across multiple business areas, including transactional and promotional marketing initiatives and enterprise-wide capabilities. The role combines strategic product ownership with hands-on backlog management and the design and deployment of AI-enabled workflows to improve efficiency, clarity, collaboration, and innovation across the organization. The position owns and prioritizes backlogs in Azure DevOps, translates business needs into actionable work with clear acceptance criteria, partners with engineering and cross-functional stakeholders to deliver solutions, and drives improvements to intake processes and team operations. It also champions AI adoption, mentors peers, applies emerging AI technologies and integration approaches, and brings structure to ambiguous enterprise challenges.

Requirements

  • At least 5 years of experience analyzing, designing, and changing business processes with measurable impact.
  • At least 4 years of experience in product ownership or similar roles defining and prioritizing technical requirements.
  • Bachelor's degree or equivalent expertise in information technology, business management, marketing, or a related field.
  • Hands-on experience building and deploying AI agents using modern LLM platforms such as Claude, Microsoft Copilot, or ChatGPT for team or organizational workflow improvement.
  • Proven ability to deliver results and drive workflow efficiency at enterprise scale while managing complex stakeholder ecosystems.
  • Expertise writing quality work items with testable acceptance criteria and clear value propositions.
  • Strong background in backlog management, prioritization frameworks, and Agile methodologies.
  • Ability to navigate competing stakeholder priorities, facilitate trade-off discussions, and build consensus across business, technical, and leadership teams.
  • Experience using data and analytics to drive prioritization decisions and measure outcomes.
  • Experience supporting software products and confidently discussing underlying technologies.
  • Deep familiarity with current and emerging AI technologies, automation tools, and workflow optimization strategies.
  • Proficiency with Azure DevOps, Monday.com, Slack, and other collaborative tools.
  • Ability to thrive in a fast-paced environment, adapt quickly to change, and embrace ambiguity.

Nice To Haves

  • At least 7 years of product ownership or product management experience in complex enterprise environments.
  • Certification in Agile practices, such as Certified Scrum Product Owner, SAFe Product Owner/Product Manager, or similar.
  • Experience working with Model Context Protocol (MCP) servers and AI integration architectures.
  • Experience managing products or initiatives across multi-brand organizations.
  • Track record of mentoring Product Owners or team members in AI adoption and best practices.
  • Experience leading process transformation initiatives such as intake redesign or workflow optimization.
  • Understanding of omnichannel customer journeys or marketing automation workflows and marketing technology tools such as Salesforce Marketing Cloud.
  • Demonstrated experience implementing enterprise-wide efficiency improvements that scale across teams.
  • Passion for using AI to reimagine work, asking “Can this workflow disappear?” rather than “How do we automate this task?”
  • Track record of building cross-organizational relationships and driving consistency across teams.
  • Background in Financial Services or other large, highly regulated industries.

Responsibilities

  • Lead product ownership for a portfolio of business areas across Rocket, including transactional and promotional marketing initiatives and enterprise-wide capabilities.
  • Own, prioritize, and maintain a healthy backlog in Azure DevOps, translating business needs into actionable work items with clear acceptance criteria.
  • Design, build, and deploy AI agents using modern LLM platforms to improve workflow efficiency.
  • Transform internal workflows, including intake processes, communication channels, and collaboration patterns, to eliminate friction and improve clarity.
  • Use experience with Model Context Protocol (MCP) and AI integration protocols to identify opportunities for intelligent automation and agentic workflows.
  • Partner with engineering teams, stakeholders, and cross-functional leaders to define requirements, manage dependencies, and deliver solutions.
  • Build trusted relationships across a complex, multi-brand stakeholder ecosystem and navigate competing priorities.
  • Champion AI adoption and mentor Product Owners and team members in workflow optimization, stakeholder engagement, and emerging AI capabilities.
  • Evaluate and implement improvements to team operations, including work intake flows.
  • Stay informed about the evolving AI landscape and bring innovative solutions to enterprise challenges.
  • Facilitate Agile ceremonies, refine backlogs collaboratively with engineering teams, and support continuous delivery of business value.
  • Bring structure and clarity to undefined problems while adapting to fast-paced change.

Benefits

  • Eligible team members are offered perks and health benefits.
  • The company offers support intended to promote the health and well-being of team members and their families.
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