Product Manager
Role Overview
The Product Manager leads planner enablement strategy and execution for Cvent's Attendee Hub.
The role owns outcomes and roadmap for AI-powered experiences anchored in Cvent Assistant, helping event planners work faster and with greater confidence.
The manager leads a dedicated sprint team and partners with engineering, design, and data science to determine product scope, value, and performance.
Key Skills for This Role
Full Job Posting
About Cvent
Cvent provides meetings, events, and hospitality technology, including an event marketing and management platform and software for hotels, venues, and destinations.
The company describes a culture of entrepreneurship, collaboration, continuous learning, and thoughtful use of AI.
Role overview
The Product Manager leads planner enablement strategy and execution for Cvent's Attendee Hub.
The role owns outcomes and roadmap for AI-powered experiences anchored in Cvent Assistant, helping event planners work faster and with greater confidence.
The manager leads a dedicated sprint team and partners with engineering, design, and data science to determine product scope, value, and performance.
What you will do
- Own roadmap and delivery for planner-facing AI experiences across Attendee Hub configuration, designer, and core workflow surfaces.
- Use AI during discovery and define feature quality using evaluation datasets, LLM-as-judge prompts, and production monitoring.
- Conduct weekly customer conversations, test assumptions, and use prototypes for continuous discovery.
- Use AI for research, synthesis, prototyping, and analysis; make data-informed prioritization decisions with Mixpanel, Sigma, and ProductBoard.
- Lead sprint planning and backlog prioritization; prepare specifications, prototypes, evaluations, and acceptance criteria before sprint start.
- Partner with Marketing, Sales, and Customer Success on launches and post-release adoption.
What you need
- Bachelor's degree required.
- 5+ years of product management experience; B2B SaaS experience is ideal.
- Experience designing and shipping AI-powered features, including hands-on prompt engineering and evaluations.
- Fluency with AI prototyping tools such as Lovable, v0, Claude, or Cursor.
- Proficiency with Mixpanel, Sigma, Pendo, or similar analytics platforms; ability to define KPIs and make evidence-based decisions without analyst support.
- Ability to conduct customer interviews and synthesize feedback into product direction.
- Experience with engineering teams in Agile, Scrum, or Kanban and understanding of software development and system design.
- Clear, reasoned communication and ability to progress ambiguous problems independently.
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