Senior Product Manager, GC Events
New
G
GiveCampusEducation fundraising
This is a remote-first role based in the U.S.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of product management experience
- Required Skills
- Data AnalysisProduct ManagementSoftware ArchitectureData modeling
Requirements
- Have 5+ years of product management experience.
- Have independently managed complex, technical products from 0-to-1 through meaningful scale in a high-growth, fast-paced environment.
- Demonstrate ownership of commercial outcomes, not only product launches.
- Have concepted, prototyped, tested, and validated ideas with real users.
- Use data to make and defend decisions, conduct analyses independently, and make progress when data is limited.
- Have integrated AI into product management workflows such as research synthesis, data analysis, drafting, prototyping, and experimentation.
- Have used AI-powered tools such as Claude Code, Cursor, Lovable, v0, or Figma Make, or similar, to create working prototypes; shipped fixes, experiments, or companion apps are preferred.
- Have a point of view on where AI is suited to product problems, its place in core workflows, and human-in-the-loop design.
- Be fluent in technical discussions about software architecture, security, data modeling, and integrations.
- Have led and improved execution processes including sprint planning, standups, refinement, retrospectives, resource allocation, and roadmap execution.
- Have partnered with GTM, sales, customer success, and marketing counterparts to advance commercial outcomes.
Responsibilities
- Own the GC Events product strategy, roadmap, discovery, execution, shipping quality, launch readiness, adoption, and operations.
- Co-own the GC Events commercial key result with the GTM Lead and drive product work that moves commercial outcomes.
- Build deep knowledge of GC Events users and Partner schools through direct conversations and in-person event observation.
- Develop and refine the roadmap with input from Partners and customer-facing teams.
- Determine how AI can improve product development and create value in registration, ticketing, and auction workflows.
- Use AI-powered tools to prototype and ship small fixes, experiments, and companion apps where appropriate.
- Lead and improve sprint planning, standups, refinement, retrospectives, resource allocation, and roadmap execution.
- Partner with Engineering, Design, Data Science, Partner Operations, Partner Success, Marketing, Business Development, and Business Operations.
- Make prioritization and shipping decisions with urgency, balancing user needs, commercial outcomes, and technical considerations.
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