Senior Product Manager

Packback’s mission is to empower every student to be fearlessly curious and find their unique voice. These few words shape everything we do at Packback from the smallest decision to the largest. Over the last decade since our company’s founding, our team has seen first-hand the power of giving students intentionally designed spaces in their learning experience to be autonomous and curious. We have also seen the incredible benefits of using AI technology to shorten feedback loops and help students revise their work before they submit. Packback is a pedagogy partner that uses technology as a “means to an end” to shorten feedback loops for students and instructors, improve writing and critical thinking skills, and cultivate student-centered, trust-based educational learning environments.

About the Role Packback sits at the intersection of AI and education, and we are hiring a Senior Product Manager to help decide what we build next. You will lead discovery and delivery across several product opportunities at once and bring AI-assisted prototyping and disciplined experimentation into how our product team works. AI has made building fast. The harder question is whether we are building the right thing. You will help us test ideas quickly, read results honestly, and change course when users tell us something is not working. You will join a small, empowered product and design team who work side by side with engineers to shape problems and own solutions together. You will have real ownership of what gets built, from first prototype to user adoption. Current work spans AI-integrated assignments, writing, discussions, and data insights, where real instructor and student feedback shapes what we build. Everything we ship exists to help students think critically, write with purpose, and learn more deeply.

What you will do Discovery and delivery Lead discovery and delivery for multiple opportunities at once, from early research through release and user adoption Shape what we work on next: bring a clear business case for where time should go, and prioritize and de-prioritize to keep projects on track. Define the problem, success criteria and constraints clearly, then sequence work into releasable phases, and plan releases and timelines User and market research Talk with instructors and students regularly, and tell real demand from polite interest Track customer and market shifts, including competitors, and bring concise cases for adding or changing roadmap projects AI prototyping and evaluation Build working prototypes with AI tools to test ideas before committing engineering time Evaluate our AI features: spot output that is inconsistent, generic, or wrong for the learning context, and explain how to fix it Experimentation and outcomes Design experiments with a clear hypothesis, success and stop criteria agreed before work starts, and a plan for how you will read the results. Define outcome metrics up front, and check impact after release Share what works so the whole team gets better at testing ideas and measuring results Collaboration Own what we build and why, and work with engineers who own more of the final call on how. Align stakeholders across engineering, design, and the business around product goals, and make sure everyone working on a project understands the "why" Partner with sales, customer success, and marketing so they can tell a compelling story about what we ship, and track adoption after launch

What success looks like You continually explore and shape new opportunities with real input from users and signals from the market, so we decide what to build next based on current evidence You ship small, finished slices of work that bring users value, on a predictable timeline You can measure and report on how our work influenced user behavior and business outcomes Every project ends with an honest readout, including when the evidence says to stop or change course Sales, customer success, and marketing are ready to tell a compelling story about what you ship You help teammates adopt prototyping and experimentation habits