Vertex
Lead Product Manager
New York, New York, USA · full-time
Sponsorship not specified$158k-$205kDetected 24 days ago
Agentic AIA/B TestingProduct StrategyResearchCommunicationMentoring
About the role
- The role contributes meaningfully to AI product strategy and roadmap execution by ensuring AI capabilities are customer-ready, continuously improving, and delivering measurable business impact.
- AI Fluency: this role requires practical, hands-on AI fluency.
- The ideal candidate will be comfortable operating directly in the AI product development lifecycle: Possess the technical acumen to experiment directly using AI tools for faster product prototyping.
Nice to have
- Possess the technical acumen to experiment directly using AI tools for faster product prototyping.
- Understand how modern AI systems and AI Agents behave, improve over time, and fail.
- Understand how to use those characteristics to influence product decisions and user experience evolution.
- Bachelor's degree in business, engineering, or a related field.
- Communicate with Clarity - Be clear, concise and actionable.
- Be relentlessly constructive.
- Seek and provide meaningful feedback.
- Act with Urgency - Adopt an agile mentality - frequent iterations, improved speed, resilience.
Compensation
- $157,900.00 - $205,400.00 Base pay offered to new hires may vary based upon factors including relevant industry and job-related skills and experience, geographic location, and business needs.* The range displayed does not encompass the full potential of the role, which allows for further growth and career progression.
- In addition, as a part of our total compensation package, this role may be eligible for the Vertex Bonus Plan (VOB), a role-specific sales commission/bonus, and/or equity grants.
- Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs. *In no case will your pay fall below applicable local minimum wage requirements.
This listing is sourced directly from Vertex's careers page and normalized into a canonical job model.