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.
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 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.
- 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.
- BS or MS in STEM, Economics, Psychology or close equivalent required.
What We Offer:
- Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
- Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
- Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
- Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.
The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits.
StubHub New York, New York, USA Office
New York, NY, United States
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