Senior Product Manager

🕒 June 8

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Risepoint

1001 - 5000 employees

Founded 2007

📚 Education

🤝 B2B

Education • B2B

Risepoint is an education technology company that partners with regional public and private universities to design, launch, and grow workforce-focused online degree programs. It provides marketing, student support, faculty support, technology implementations, performance monitoring, and student ROI research to help institutions expand access, increase enrollments, and deliver high-return programs for working adults.

📋 Description

• Lead execution and evolution of a defined segment of the student journey, translating established strategies into scalable experiences using UX design and advanced analytics, including AI and ML where appropriate. • Identify opportunities to use predictive models, intelligent workflows, and generative AI to unlock proactive guidance, personalization, and operational efficiency. • Translate insights, research, and data into a roadmap with clear priorities and measurable student outcomes. • Partner with Engineering, Data Science, and Design to deliver personalization features that incorporate ML models, generative AI, and automated decision-support tools. • Define hypotheses and run experiments to validate value, accuracy, and user trust in AI-powered features. • Manage cross-functional workstreams, dependencies, risks, and stakeholder alignment for both traditional product initiatives and AI-enhanced solutions. • Establish success metrics for AI- and ML-driven features, including model performance, user experience impacts, and operational lift. • Advocate for clarity, equity, and empowerment in every student interaction.

🎯 Requirements

• 5+ years of product management experience, with a track record of shipping impactful consumer or B2B SaaS products. • Experience partnering with engineering and data science to ship ML- or AI-enabled features: predictive models, ranking systems, automated workflows, or generative AI experiences. • Ability to frame AI/ML opportunities, define product requirements for intelligent systems, and guide teams through model evaluation, UX design, experiment setup, and iteration. • Strong analytical and problem-solving skills, with fluency in product analytics, A/B testing, and data-driven decision-making. • Exceptional communication skills, able to align engineering, design, operations, and leadership—especially when navigating ambiguity or explaining technical trade-offs. • A mission-driven, student-first mindset and deep interest in how AI can responsibly improve access, support, and outcomes in education. • Experience in higher education, edtech, or service-oriented journeys where AI augments expert human guidance. • Familiarity with human-in-the-loop workflows and the operational complexity of deploying AI in regulated or high-stakes contexts. • Background working with speech analytics, conversational AI, or student-facing digital products.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development

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