In this role, you will own a critical segment of the student journey—shaping how thousands of prospective students first engage with and navigate toward higher education. You will translate a compelling product vision into shipped features, working at the intersection of AI, data science, and human-centered design to deliver experiences that are personal, proactive, and genuinely useful.
You will be one of the primary drivers of Risepoint’s technology-enabled student journey model, building the intelligent systems that help students find the right path, at the right time, with the right support. Your work will directly influence outcomes for regional universities and, by extension, expand access to education for working adults across the country.
How You Will Bring Our Mission to Life
You will bring Risepoint’s mission to life by building the intelligent systems that make the student journey feel less like a transaction and more like a partnership. Through AI-powered personalization, proactive guidance, and data-driven decision support, you will help working adults navigate one of the most consequential decisions of their lives—returning to or continuing their education.
Your work will directly enable Risepoint’s university partners to serve more students more effectively, expanding access to high-quality, workforce-aligned education at scale.
What You Will Do
Product Delivery & Roadmap Execution
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.
Lead Product Execution
Partner with Engineering, Data Science, and Design to deliver personalization features that incorporate ML models, generative AI, and automated decision-support tools.
Manage cross-functional workstreams, dependencies, risks, and stakeholder alignment for both traditional product initiatives and AI-enhanced solutions.
Build for Scale
Establish success metrics for AI- and ML-driven features, including model performance, user experience impacts, and operational lift.
Elevate the Student Experience
What Success Looks Like
Cross-functional partners (Engineering, Data Science, Design) describe you as a clear, accountable collaborator who removes blockers and drives alignment.
How Impact Will be Measured
Funnel progression rates for students engaging with your product segment (e.g., inquiry-to-application, application-to-enrollment, enrollment-to-graduation).
What You’ll Bring to the Team
Experience That Matters Most
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 That’s Great to Have
