Product Manager - Paid Search

Stub Hub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want Stub Hub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.

To enable millions of users to explore, interact with, and participate in live events worldwide, Stub Hub is seeking a Product Manager, Paid Search / Acquisition to help drive one of our core acquisition channels across Stub Hub and viagogo. You will own the operating system that keeps our Paid Search product surface moving, building a clear experiment and delivery roadmap, driving strong cross-functional coordination, establishing reliable measurement, and creating durable knowledge that teams can use to make better decisions.

This role combines product thinking with practical delivery. You’ll work across commercial goals, technical constraints, advertising platform behavior, and imperfect data to bring structure to a complex portfolio and help the team move with urgency without sacrificing measurement quality or context.

Location:

Hybrid (3 days in office/2 days remote) – New York, NY

About the Team:

The Acquisition team is responsible for helping fans around the world discover the incredible live events available across Stub Hub and viagogo. Paid Search is a core acquisition channel within that ecosystem, requiring close coordination across Product, Data Science, Analytical Engineering, Software Engineering, and Operations.

We work across Google and Bing to continuously improve campaign performance, measurement, experimentation, and the underlying tools and workflows that enable the channel to operate effectively  work balances near-term commercial performance with building durable systems, knowledge, and capabilities that allow us to make faster and better decisions over time.

What You’ll Do:

• Translate Paid Search priorities into a clear experiment and delivery roadmap, maintaining the experiment calendar, capacity view, hypotheses, success criteria, launch gates, dependencies, and readouts.
• Coordinate delivery across Data Science, Analytics, Engineering, and Operations, surfacing risks early, resolving dependencies, sharing context, and keeping decisions moving.
• Help protect and improve our Google and Bing portfolio through campaign structure, bidding and tROAS optimization, sitelinks, ad copy, and other performance levers.
• Own the operating tools that make performance visible and execution faster, including dashboards, alerts, workflows, documentation, experiment readouts, and AI-enabled analysis and automation.
• Partner on attribution, policy, and measurement challenges, ensuring important problems have a clear owner, decision path, and method for validating whether solutions are working.
• Translate financial and commercial goals into clear prioritization and execution decisions while preserving the context and rationale behind those decisions.
• Build durable knowledge across Google and Bing so experiments, platform behavior, attribution rules, policy constraints, and historical learnings are easy for the team to find and reuse.
• Define useful metrics, assess experiment quality, and connect performance data and channel behavior to commercial decisions.
• Champion a culture of thoughtful experimentation and rapid execution, helping the team move quickly while maintaining high standards for measurement and learning.

What You’ve Done:

• Experience in Product Management, Program Management, Growth, Performance Marketing, Ad Tech, marketplace products, or another data-driven commercial environment.
• A track record of translating strategy into an executable roadmap and leading cross-functional delivery without direct authority.
• Strong analytical judgment, with the ability to define meaningful metrics, assess experiment quality, understand attribution limitations, and connect performance data to…