Product Manager, Predictive Solutions Suite

Encoura is looking for a Product Manager to help drive our Predictive Solutions Suite and the enrollment data ingestion pipelines that power our marketing, analytics, and predictive modeling products. This role sits at the intersection of data, product strategy, and customer outcomes — you’ll work closely with engineering, data science, and go-to-market teams to ensure the data flowing into our predictive products is accurate, timely, and actionable for the colleges and universities we serve. This is a great opportunity for a product manager early in their career who wants to grow their craft inside a mission-driven, data-rich business at the center of the higher education ecosystem.

A Day in the Life

• Support the roadmap and backlog for the Predictive Solutions Suite, working with engineering and data science to prioritize features that improve model accuracy and usability
• Partner with data engineering to define requirements for enrollment data ingestion — sourcing, validation, transformation, and delivery into downstream marketing, analytics, and predictive modeling systems
• Write clear user stories, acceptance criteria, and specs that translate customer and internal stakeholder needs into buildable work
• Collaborate with customer-facing teams (sales, marketing, client success) to understand how institutions use predictive insights and data products, and translate that feedback into product improvements
• Monitor data quality and pipeline health metrics, flagging issues and working with engineering to resolve them
• Support user research, competitive analysis, and market scans to inform product decisions
• Help prepare product documentation, release notes, and internal/external communications about new features and data capabilities
• Participate in agile ceremonies (standups, sprint planning, retros) and help keep initiatives on track

Role Progression

• Within 1 month, you’ll: Get onboarded into the Predictive Solutions Suite and enrollment data ingestion architecture, meet key stakeholders across engineering, data science, marketing, and analytics, and begin shadowing sprint ceremonies and backlog grooming.
• Within 3 months, you’ll: Own a defined slice of the roadmap, independently write specs and user stories, and be the go-to person for a specific data ingestion workflow or predictive feature area.
• Within 6 months, you’ll: Be trusted to lead a feature initiative end-to-end — from problem definition through launch — and contribute meaningfully to prioritization discussions across the Predictive Solutions Suite.

About You

• A Bachelor’s degree in a related field (Business, Data/Analytics, Computer Science, or similar), or equivalent practical experience
• 1–2 years of experience in product management, business analysis, data analytics, or a related role; higher education, EdTech, or SaaS experience is a plus
• Comfort working with data — you can read a data model, ask good questions about data quality, and translate technical detail into plain language for non-technical stakeholders
• Strong written and verbal communication skills; able to write clear specs and collaborate across technical and non-technical teams
• A curious, detail-oriented mindset — you enjoy digging into “why” a metric moved or “how” a pipeline works
• Experience working in Agile/Scrum environments, or eagerness to learn
• Familiarity with tools like JIRA, Confluence, SQL, or BI/analytics platforms is a plus, but not required
• A collaborative, low-ego approach — you’re comfortable asking questions, taking feedback, and iterating quickly
• Genuine interest in higher education, student success, or data-driven decision-making