Product Manager - Paid Search

StubHub•New York, NY

3h•$140,000 - $175,000•Hybrid

About The Position

StubHub is seeking a Product Manager, Paid Search / Acquisition to help drive one of our core acquisition channels across StubHub 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.

Requirements

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 commercial outcomes.
Experience with Google Ads and Microsoft Advertising, or demonstrated ability to quickly learn and operate within complex advertising platforms.
Technical fluency with dashboards, data workflows, APIs, or automation, and the ability to work effectively with Data Science and Engineering partners.
Clear written and verbal communication skills, strong organization, and the ability to create momentum in ambiguous, fast-moving environments.
A practical and curious mindset with the ability to bring useful external knowledge, platform developments, and industry best practices into the team.
BS or MS in STEM, Economics, Psychology or close equivalent required.

Nice To Haves

Experience with paid-search campaign structure, bidding, tROAS, elasticity, search ads, sitelinks, or international market performance at a large marketplace is a plus.
Experience with experiment design, measurement, attribution, or revenue and profit-efficiency analysis is a plus.

Responsibilities

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.