Product Manager

Role Description

Over the past few years, the capabilities of frontier models have moved at a staggering pace. But building AI products that institutions trust in production isn’t about model quality alone; it’s about the data foundation, infrastructure, tooling, and workflows that let universities configure, monitor, and improve their agents at scale. That’s the hard part, and it’s the part we own.

As a Product Manager, you’ll own a major product area end-to-end; from discovery and scoping through launch and adoption. Depending on your strengths, that might mean the platform surfaces that power every agent (think the data foundation, agent-building and testing tooling, integrations, and governance), or the end-user product experiences that staff and students actually touch across enrollment, admissions, student success, and advancement. Either way, you’ll shape the product for some of the most influential institutions in higher education.

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.
• Build products people love to use.
• Sweat the details and bring a strong taste for what makes an experience feel effortless.
• Turn institutional complexity into clarity.
• Design the abstractions and flows that make complexity disappear for users.
• Partner deeply with engineering, design, and forward-deployed engineers (FDEs).
• Translate ambiguous problems into crisp specs, make sharp trade-offs, and ship.
• Stay close to customers and understand real workflows.
• Run tight feedback loops back into the roadmap.
• Define what good looks like and set success metrics for your area.
• Hold the bar on quality, reliability, and outcomes.

Qualifications

• 8+ years of product experience shipping software, ideally including senior PM scope.
• Exceptional communication—written above all.
• Strong product taste and design sensibility.
• Technical fluency—comfortable discussing APIs, data models, and architecture.
• A track record of owning ambiguous problems end-to-end and shipping impactful work.
• A degree in a technical, design, or related field or equivalent experience.
• Experience building with or for LLMs and AI agents.
• Background in enterprise or platform products—SDKs, APIs, integrations.
• Some hands-on coding ability.
• Design fluency or a design background; familiarity with tools like Figma.
• Prior startup or high-growth experience.

Company Description

CollegeVine partners with 200+ universities, deploying agentic AI to power campus operations. We have raised venture funding from dedicated investors such as Menlo Ventures, Silversmith Capital Partners, Morningside Technology Ventures, and more. In 2020, after years of being a remote-friendly company, CollegeVine became a fully remote company (with a NYC office) with a diverse cast of team members based predominantly in the United States, but also around the world.