Product Manager - Paid Search
Quick Summary
Translate Paid Search priorities into a clear experiment and delivery roadmap, maintaining the experiment calendar, capacity view, hypotheses, success criteria, launch gates, dependencies,
StubHub 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 StubHub 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, 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.
The Acquisition team is responsible for helping fans around the world discover the incredible live events available across StubHub 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 at scale. Our work balances near-term commercial performance with building durable systems, knowledge, and capabilities that allow us to make faster and better decisions over time.
Responsibilities
~3 min read- →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.
- →Required: 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.
- →Required: 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. General marketing, analytics, or platform familiarity alone does not meet this requirement.
- →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.
- →Required: BS or MS in STEM, Economics, Psychology, or a closely related field, or equivalent qualification.
- →Preferred: Previous Product Management experience, Microsoft Advertising experience, experience with portfolios representing $100M+ in annual Google Ads spend, or paid-search experience at a large international marketplace.
What We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- August 21, 2026
- First seen
- August 21, 2026
- Last seen
- September 17, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 79%
- Scored at
- August 21, 2026
Signal breakdown
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