Senior Data Product Manager

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Everfi

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2008

📚 Education

☁️ SaaS

🤝 B2B

Education • SaaS • B2B

Everfi is a digital education company that delivers interactive, standards-aligned online courses and workplace training focused on financial literacy, health & wellness, workforce readiness, STEM, and compliance topics. It partners with K–12 school districts, teachers, financial institutions, and employers to provide free or sponsored and white‑labeled programs, employee-volunteering opportunities, scholarships, and scalable customer education solutions. Everfi operates a data-driven SaaS platform with robust reporting and analytics to measure reach, engagement, and outcomes across education and corporate training initiatives.

📋 Description

• Own and maintain the product roadmap and backlog for one or more data product areas — such as learner analytics, outcomes reporting, or institutional intelligence tools • Prioritize features and enhancements based on customer value, business impact, and technical feasibility, with a clear orientation toward outcomes over output • Actively manage sprint planning, release coordination, and post-launch measurement in partnership with engineering leads • Conduct ongoing customer discovery, user research, and competitive analysis to deepen understanding of the needs of institutional buyers, learning administrators, and learners • Synthesize research findings into actionable product requirements and user stories • Write clear, detailed user stories, acceptance criteria, and product requirements • Coordinate across platform engineering, data science, and UX through all phases of the product lifecycle — from discovery through delivery and post-launch iteration • Manage product releases in partnership with engineering and project management • Define and drive the development of data platform features that serve both external customers and internal operational needs • Ensure features are built on a well-governed, scalable data architecture and that data pipelines, enrichment, and access controls meet product and regulatory standards • Serve as the day-to-day connective tissue between technical data teams and commercial stakeholders, translating complex data capabilities into clear customer value propositions • Equip customer success and account management teams with the product knowledge and data insights needed to support and retain customers • Partner with product marketing to contribute to messaging, product collateral, and sales enablement materials for data products • Support the development of pricing inputs and product positioning in close coordination with marketing and sales leadership • Champion data quality, integrity, and privacy compliance (FERPA, GDPR, COPPA where applicable) within your product areas • Work closely with data engineering to ensure that data pipelines, cataloging, enrichment, and access controls meet both product requirements and regulatory standards • Identify opportunities to incorporate AI and machine learning capabilities into product features • Work collaboratively with data engineers to scope, validate, and ship AI-driven functionality. • Stay current on AI tools and EdTech market developments to inform the product roadmap.

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Business, Education Technology, or a related field required • At least 5 years of product management experience, with at least 2 years specifically in data products, analytics platforms, or data-intensive SaaS environments • Experience in B2B or B2B2C EdTech, HRTech, or enterprise SaaS environments preferred • Experience working in agile development methodologies and managing engineering backlogs • Proficiency working with data sets, data pipelines, and data visualization tools (e.g., Tableau, Looker, Power BI) • Familiarity with cloud data infrastructure (AWS, Azure, GCP), data warehousing, and API-based product architectures • Working understanding of AI/ML concepts as applied to product features • Experience with SQL or equivalent querying tools; comfort working directly with data engineers on schema design and data contracts • Ability to build product narratives, gap analyses, requirements, and use cases that connect product decisions to customer and business outcomes • Strong ability to translate complex technical information into clear language for diverse audiences including customers, sales, and senior stakeholders.

🏖️ Benefits

• 100% Remote position • Health, Dental, and Vision insurance • 401(K) with matching contribution • Generous Paid Time Off (PTO)