Senior Product Manager

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.

• Translate insights, research, and data into a roadmap with clear priorities and measurable student outcomes.

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.

• 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.

Build for Scale

• Establish success metrics for AI- and ML-driven features, including model performance, user experience impacts, and operational lift.

• Lead the productization of manual and high-variance workflows into consistent, scalable, and increasingly intelligent experiences.

• Introduce processes and frameworks to responsibly integrate AI—including transparency, bias mitigation, and user feedback loops.

Elevate the Student Experience

• Advocate for clarity, equity, and empowerment in every student interaction—especially in AI-led or AI-assisted experiences.

• Ensure all solutions deliver real educational value, balancing automation with human support where needed.

• Shape a POV on how AI should show up in the student journey now and in the future.

What Success Looks Like

• AI-powered features ship on schedule with clear acceptance criteria and measurable user impact.

• Students engaging with your product segment advance through the enrollment funnel at meaningfully higher rates compared to baseline.

• Model performance and feature accuracy improve iteratively based on experiment results and feedback loops.

• Cross-functional partners (Engineering, Data Science, Design) describe you as a clear, accountable collaborator who removes blockers and drives alignment.

• Responsible AI practices are embedded in how the team builds—not bolted on after the fact.

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).

• Feature delivery cadence and quality: on-time delivery, defect rates, and time-to-resolve.

• AI/ML model performance metrics: accuracy, precision, coverage, and user trust indicators.

• Experiment velocity and learning rate: number of A/B tests shipped and actionable insights generated per quarter.

• Stakeholder satisfaction and cross-functional feedback from Engineering, Data Science, and Design partners.

What You’ll Bring to the Team

Experience That Matters Most

• 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 That’s Great to Have

• 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.