At Compass Technology, we're transforming how product and master data powers one of the largest foodservice organizations in the world. Our team is responsible for defining and delivering capabilities that enable consistent, high-quality product data across procurement, supply chain, menu planning, operations, and digital experiences.

We are seeking a Product Manager to help drive execution across our growing product portfolio. This role partners closely with Lead Product Managers and Engineering teams to translate product strategy into deliverable outcomes. The Product Manager will own backlog management, feature decomposition, story refinement, sprint planning, delivery tracking, and team coordination, ensuring strategic priorities are efficiently converted into high-quality product increments.

This role is ideal for a product professional who enjoys working at the intersection of business needs, technology delivery, and agile execution. Over time, the role will expand into greater ownership of discovery, customer insights, capability definition, and roadmap development as part of a growth path toward Senior Product Manager responsibilities.

Responsibilities:

• Product Delivery & Execution
  • Own and maintain the team backlog in Azure DevOps, ensuring stories, features, and work items are accurately prioritized, refined, and ready for development.
  • Translate strategic epics and capabilities into detailed features, user stories, and acceptance criteria.
  • Partner with engineering teams to ensure requirements are clear, actionable, and aligned to business objectives.
  • Support release planning and coordinate delivery activities across product and engineering stakeholders.
  • Identify delivery risks, dependencies, and blockers and proactively drive resolution.
• Agile Team Leadership
  • Facilitate sprint planning, daily standups, sprint reviews, retrospectives, and backlog refinement sessions.
  • Manage sprint commitments and capacity planning in partnership with Engineering Leads.
  • Maintain backlog hygiene and ensure work progresses through the delivery lifecycle efficiently.
  • Monitor sprint performance, velocity, burndown, and delivery metrics.
• Product Operations & Stakeholder Support
  • Prepare delivery updates, status reporting, and performance metrics for product leadership.
  • Support downstream partner engagement and validation activities.
  • Coordinate product documentation and operational readiness activities.
  • Ensure product work remains aligned with roadmap priorities established by Lead Product Managers.
• Continuous Improvement
  • Identify opportunities to improve team processes, planning practices, and delivery effectiveness.
  • Contribute to product discovery activities including process mapping, user feedback gathering, and solution validation.
  • Develop expertise in Compass's product data ecosystem and master data management capabilities.

Qualifications:

• 3–5+ years of Product Management experience supporting enterprise software, platform, data, or technology products.
• Experience owning and maintaining product backlogs within Azure DevOps, Jira, or similar Agile delivery platforms.
• Strong experience writing user stories, acceptance criteria, and functional requirements.
• Experience facilitating Agile ceremonies and coordinating cross-functional teams.
• Strong organizational and prioritization skills with the ability to manage multiple initiatives simultaneously.
• Demonstrated ability to work closely with Engineering, Architecture, Data, and Business stakeholders.
• Strong written and verbal communication skills.
• Analytical mindset with experience using metrics to drive decision-making and delivery improvements.

Nice to Have Qualifications:

• Experience with Master Data Management (MDM), enterprise data platforms, or data governance initiatives.
• Experience in foodservice, supply chain, procurement, retail, or manufacturing environments.
• Experience working in SAFe or large-scale Agile environments.
• Familiarity with Azure DevOps.
• Exposure to cloud-based data ecosystems and modern data platforms.