• own the product vision and strategy for your portfolio • identify, size, and prioritize high-impact opportunities • develop product requirements documentation • lead cross-functional teams through the full product lifecycle • work closely with Engineering, Data Science, and Design teams • support critical customer escalations with urgency

Role Description The Product Manager leads one of Watermark's products or modules, defining a clear product strategy tied to the portfolio vision and driving sustained product growth and success. They serve as the go-to expert for their product and its market and take an ownership posture over delivery: unblocking the team, ensuring quality, and driving outcomes. Working with other product managers, designers, engineers, and subject matter experts, they apply user-centered design and iterative delivery principles to maximize value delivered. Key Responsibilities - Research competitive and alternative offerings, market trends, and domain developments; maintain a thorough understanding of product strengths and weaknesses across functional, technical, competitive, and customer dimensions. - Develop and communicate a product strategy and prioritized roadmap that aligns with business goals, portfolio vision, and resource constraints, balancing business, user, and technical needs including the business impact of technical debt. - Shape product requirements through close iteration with designers, engineers, and AI tools, refining fuzzy product ideas into well-structured briefs that the team can execute against with speed and clarity. - Develop business cases for new opportunities as directed by leadership. - Partner with cross-functional leaders to solve complex customer and business problems with high-quality solutions. - Ensure development teams account for legal, security, privacy, and compliance requirements in planning, design, and acceptance. - Own delivery outcomes for the product, serving in the backlog ownership role as needed; proactively unblock the team, review AI-assisted and human outputs for quality, and mitigate risks. - Evaluate and recommend AI-driven capabilities and workflows within the product, ensuring the team considers where AI can improve user outcomes and operational efficiency. - Collaborate on go-to-market planning and execution; ensure client-facing teams have the information, documentation, training, and resources they need. - Make recommendations on build-vs-partner decisions; manage partner integrations. - Maintain strong client relationships to inform decision-making and feedback cycles. - Track and report on key product metrics that inform success; drive decisions with data. - Mentor and develop junior team members, supporting onboarding and growth. Qualifications - 4+ years in SaaS product management or a closely related role (EdTech experience a plus). - Bachelor's degree in business, computer science, or related field, or equivalent work experience. - Strong understanding of software development life cycles, iterative delivery frameworks, and the overall product life cycle. - Proficiency in business analysis, use case documentation, and requirements gathering. - Demonstrated ability to elicit cooperation across functions, including leadership, clients, and peer teams. - Working knowledge of AI/ML concepts and the ability to evaluate AI-powered product opportunities and operational efficiencies. - Basic technical literacy, including comfort reviewing code, technical designs, and AI-generated outputs. - Strong analytical, problem-solving, conflict-resolution, and presentation skills. - Ability to manage a heavy workload with multiple projects and frequent context switching. - Experience working with cross-functional groups across multiple geographies. Requirements - Watermark is committed to fair and equitable pay practices for all qualified candidates. The pay range for this role is $120K - $130K and varies based on several factors including geographical location, level of experience related to the role, education/licensure/certificates of the individual filling the role and other business and operational considerations. - At Watermark we are continually strengthening the rich diversity in our workplace - the primary reason we succeed. We’re committed to equal opportunity employment and work together to provide an inclusive hiring experience where all qualified applicants receive equal consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, protected military/veteran status, or any other non-merit based or other legally protected grounds.

• Build automated volume forecasting from operational datasets • Design staffing logic supporting shared associates • Enable dynamic queue balancing across workloads • Connect forecasting to full Crescendo IT stack • Implement forecasting outputs integrating with HR and finance

• Define and maintain the product backlog for the Data & AI platform, ensuring alignment with the university’s long-term strategic plan and near-term priorities. • Collaborate with faculty, researchers, administrators, and IT leaders to gather requirements and identify high-value data and AI use cases. • Create, refine, and prioritize the product backlog based on business value, compliance requirements, and technical feasibility. • Collaborate with data engineers, AI/ML specialists, developers, and architects to deliver platform features and enhancements. • Partner with institutional data governance groups to enforce data security, compliance, and stewardship and quality standards and processes. • Communicate platform benefits, features, and updates to stakeholders. • Monitor product performance, collect feedback, and adjust priorities based on evolving institutional needs.