Product Manager - Paid Search

StubHub•New York, NY

1d•$140,000 - $175,000•Hybrid

About The Position

StubHub is seeking a Product Manager, Paid Search / Acquisition to drive one of our core acquisition channels across StubHub and viagogo. This role will own the operating system for the Paid Search product surface, focusing on building an experiment and delivery roadmap, driving cross-functional coordination, establishing reliable measurement, and creating knowledge for better decision-making. The position combines product thinking with practical delivery, navigating commercial goals, technical constraints, advertising platform behavior, and data to structure a complex portfolio and ensure the team moves with urgency while maintaining measurement quality and context. The role is hybrid, based in New York, NY, with 3 days in the office and 2 days remote.

Requirements

Extensive hands-on experience managing and improving Google Ads campaigns across a large, complex portfolio, including multiple markets, high campaign volume, and automated bidding.
Deep practical knowledge of campaign structure, bidding and target ROAS, keywords, search ads, and performance measurement is essential.
Evidence of Google Ads improvements you personally identified and delivered, with the ability to explain what you changed, why, how you measured results, and what you learned.
Experience translating strategy into actionable plans and driving cross-functional delivery with technical and operations teams, including aligning priorities and leading without direct authority.
Strong analytical judgment, including defining meaningful metrics, assessing experiment quality and attribution limitations, and connecting campaign performance to revenue, profit, and efficiency.
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, strong organization, and reliable follow-through, with the ability to keep teams aligned and work moving in ambiguous, fast-moving environments.
Interest in developing product management skills, including problem definition, prioritization, roadmap development, and delivery planning, with a willingness to own daily coordination and documentation.
A practical, curious mindset and an ability to apply relevant platform developments, external knowledge, and industry best practices.
BS or MS in STEM, Economics, Psychology, or a closely related field, or equivalent qualification.

Nice To Haves

Previous Product Management experience
Microsoft Advertising experience
Experience with portfolios representing $100M+ in annual Google Ads spend
Paid-search experience at a large international marketplace

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.