Product Manager

CollegeVine is a company that specializes in deploying powerful AI agents in higher education to streamline complex processes. The Product Manager will own a major product area, driving it from discovery through launch and adoption, while ensuring that the products meet the needs of universities and their stakeholders.

Responsibilities:

• Own complex projects end-to-end in a fast-moving environment
• Take ownership of a product area end-to-end. Set the roadmap for your surface and drive it from discovery through launch and adoption - whether that surface is core platform infrastructure or the experiences people use every day
• Build products people love to use
• Sweat the details and bring a strong taste for what makes an experience feel effortless - whether you’re shaping an internal-facing tool or a student-facing flow
• Turn institutional complexity into clarity
• University workflows are tangled and the data sits across many systems. You design the abstractions and flows that make that complexity disappear for the people on the other side of the screen
• Partner deeply with engineering, design, and forward-deployed engineers (FDEs)
• Translate ambiguous problems into crisp specs, make sharp trade-offs, and ship. Our FDEs work hands-on inside customer deployments; you’ll partner closely with them, but this is a product role, not a forward-deployed one. Product is a team sport here
• Stay close to customers
• Work directly with enrollment leaders, admissions teams, staff, and the students they serve to understand real workflows, then run tight feedback loops back into the roadmap
• Define what good looks like
• Set the success metrics for your area and hold the bar on quality, reliability, and outcomes - not just shipped features

Requirements:

• 8+ years of product experience shipping software, ideally including senior PM scope
• Exceptional communication—written above all. You write clearly and persuasively, and you're an equally strong verbal communicator who can make complex ideas legible to technical and non-technical audiences alike
• Strong product taste and design sensibility—a clear point of view on what makes an experience feel effortless, and the judgment to know what to build, what to cut, and what to sequence
• Technical fluency—comfortable discussing APIs, data models, and architecture with engineers, and reasoning about how AI systems behave in production
• A track record of owning ambiguous problems end-to-end and shipping impactful work in fast-moving environments
• A degree in a technical, design, or related field or equivalent experience
• Experience building with or for LLMs and AI agents (data pipelines, evals, agent tooling, retrieval, orchestration)
• Background in enterprise or platform products—SDKs, APIs, integrations, admin/governance surfaces
• Some hands-on coding ability; you don't need to ship production code, but being able to prototype and read it helps
• Design fluency or a design background; familiarity with tools like Figma, or experience owning the craft of an interface end-to-end
• Prior startup or high-growth experience