Senior Product Manager

Yext•Washington, DC

21d•$165,600 - $303,500

About The Position

The Senior Product Manager will join one of Yext's core anchors: Competitive Intelligence, Data Syndication, or Consumer Experience. This role is responsible for bringing to life a vision of autonomous marketing built for the world of AI Search. The role emphasizes rapid prototyping using modern tools like Claude and Cursor to build functional proofs-of-concept and data pipelines, validating ideas with real users. It also involves refining the product domain by analyzing industry trends, experimenting with AI interfaces, and engaging in feedback loops with power users. The position requires outcome-driven delivery, balancing speed with operational discipline, and using analytics to measure performance and prioritize efforts that drive business outcomes. Collaboration with engineering is key to hardening prototypes into scalable, secure, and instrumented global features.

Requirements

A builder mindset, potentially a technical marketer, an engineer shifted to user psychology, or a PM eager for a high-velocity, high-ambition environment.
Customer Empathy: Genuine interest in marketing, seeking to connect with customers to understand their goals and objectives.
Foresight: Ability to anticipate trends and maintain persistent curiosity about the future of technology.
Technical Literacy: Comfortable with the basics of LLMs, RAG, and structured data, understanding the shift toward conversational interfaces.
Operational Rigor: Discipline to benchmark success and maintain a high standard for production-grade software.
A track record of shipping things people use.
Intense customer empathy and the ability to translate enterprise needs into clear product solutions.
Accountability and high agency.

Responsibilities

Rapid Prototyping: Use modern tools (Claude, Cursor, etc.) to build functional proofs-of-concept and data pipelines, validating ideas with real users.
Domain Refinement: Cultivate deep product taste by analyzing industry trends, experimenting with AI interfaces, and engaging in feedback loops with power users.
Outcome-Driven Delivery: Balance speed with operational discipline, using analytics to measure performance and prioritizing the 20% of effort that drives 80% of business outcomes.
Collaborative Scaling: Partner with engineering to harden high-conviction prototypes into scalable, secure, and instrumented global features.