You are accountable for outcomes across your modules, not just delivery. You own their roadmap, make the scope and trade-off calls, frame ambiguous problems, and decide when a release is ready. You are the product voice for your modules with customers; you set workflow direction with design, and you coordinate with other PODs whenever your work affects theirs. Decisions that cut across PODs go to the principal product manager.
Responsibilities:
- Own the roadmap and priorities for assigned modules across new features, enhancements, redesigns, and defects, using customer impact, adoption data, product health, and prioritisation frameworks such as RICE.
- Evaluate customer requests and determine whether they should become core product capabilities, configuration options, or institution-specific settings, while maintaining product consistency.
- Understand dependencies across modules and the broader platform, and collaborate with other product managers to align cross-functional changes.
- Make scope, priority, and trade-off decisions for assigned modules, escalating decisions with wider POD impact to the senior product manager.
- Lead discovery with institutional stakeholders, including administrators, department heads, faculty, and students, to understand workflows, pain points, and the underlying problem before defining solutions.
- Translate ambiguous problems into clear problem statements by identifying the root cause, impacted users, and desired outcomes or success measures.
- Convert institutional policies, processes, and business rules into clear, scalable, and testable product behaviour.
- Own PRDs for assigned modules, covering problem statement, requirements, workflows, roles and permissions, configurations, defaults, validations, edge cases, and impact on existing data.
- Set workflow direction in partnership with design and ensure the overall experience addresses the underlying user and business needs.
- Review specifications and acceptance criteria created by associate product managers and product associates before they move to engineering.
- Partner with Engineering to define the right approach, scope, and trade-offs, ensuring system and data fixes are addressed through appropriate engineering solutions.
- Set the quality bar for assigned modules by ensuring QA has clear business rules, configuration variations, acceptance criteria, and regression risks before testing begins.
- Personally verify critical issues and ensure lower-severity bugs are appropriately prioritized, resolved, and validated by the team.
- Own release readiness for assigned modules and manage controlled rollouts using feature flags and appropriate release practices.
- Track adoption, product health, and customer feedback after launch, and use these insights to determine follow-up actions, improvements, and priorities.
- Act as the product voice for assigned modules across customers, customer success, and business, ensuring product behaviour and decisions are clearly understood.
- Mentor and guide associate product managers and product associates, review their work, and progressively increase their ownership and accountability.
- Build towards independently leading a full POD and taking end-to-end ownership as a senior product manager.
Requirements:
- 3+ years of product management experience, ideally in B2B or enterprise SaaS, owning multiple modules or major features from discovery through release and adoption.
- A track record of roadmap ownership: you have made prioritisation and trade-off decisions and can explain the reasoning behind them.
- Strong requirements writing for complex, rule-heavy products. You specify permissions, configuration, validation, and edge cases instead of leaving those gaps for engineering.
- Structured problem-solving: you separate symptoms from root causes and trace the upstream and downstream effects of a change.
- Enough technical fluency to discuss APIs, data relationships, and feature flags with engineers and to investigate system behaviour alongside them.
- Confidence representing the product with customers and guiding junior team members.
Good to Have:
- Experience with ERP, student information systems, LMS, or other workflow-heavy enterprise products, or with higher education.
- Experience building configurable products used by many customers with different rules.
- Comfort with data, such as SQL or product analytics tools like Mixpanel or Amplitude.
- Working knowledge of ClickUp or Jira and Figma.
- Experience mentoring junior product managers or product associates.
- You use AI tools to speed up analysis and documentation, and you check their output against how the product actually behaves.
- A genuine interest in education.