Product Manager - Paid Search / Acquisition

StubHub•New York, NY

2d•$140,000 - $175,000•Hybrid

About The Position

StubHub is seeking a Product Manager for Paid Search / Acquisition to build and improve the systems supporting acquisition across StubHub and viagogo. The role owns the product roadmap and backlog, sets priorities, and coordinates delivery across Engineering, Data Science, Analytics, and Operations. The work focuses on automated decision systems and internal platforms, translating complex business and technical problems into clear product requirements and delivery plans. The Product Manager considers data flows, system dependencies, and technical trade-offs, and connects product decisions to revenue, profit, and operating efficiency. The Acquisition team helps fans discover live events across StubHub and viagogo. Its paid-search work brings together Product, Data Science, Analytical Engineering, Software Engineering, and Operations to build software, data, measurement, and workflows for Google and Microsoft Advertising. This includes automated bidding, campaign management, experimentation, and attribution. The position is hybrid, with three days in the New York office and two days remote. StubHub describes an accelerated growth environment with autonomy to lead experiments and tests at scale, competitive compensation including equity, and a comprehensive benefits package.

Requirements

Experience owning technical products, internal platforms, or automated decision systems, with the ability to explain product decisions, delivery contributions, and business results.
Ability to work through complex technical problems with Engineering and Data Science, trace data flows, discuss APIs and system dependencies, and assess implementation trade-offs.
Experience managing a roadmap and backlog, setting priorities, and coordinating delivery across teams while balancing business value, technical constraints, and available capacity.
Strong commercial judgment, including connecting system behavior to revenue, profit, cost, and operating efficiency and using evidence to guide product decisions.
Strong analytical judgment, including defining useful metrics, assessing experiment quality, and explaining attribution limits and what evidence supports.
Clear written and verbal communication, strong organization, and reliable follow-through; able to resolve unclear ownership, make decisions explicit, and keep teams aligned.
Ability to learn a complex business domain and translate it into clear requirements.

Nice To Haves

Experience with paid-search systems, Google Ads, Microsoft Advertising, or acquisition automation at scale.
Direct campaign management experience is useful but not required.
Relevant experience may include advertising technology, attribution or measurement products, marketplace systems, pricing, or optimization platforms, with evidence of improved business decisions and outcomes.

Responsibilities

Own the product roadmap and backlog, setting priorities based on expected business impact, technical risk, effort, and team capacity.
Coordinate delivery across Engineering, Data Science, Analytics, and Operations by agreeing on owners and milestones, managing dependencies, resolving blockers, and keeping teams informed.
Develop systems that automate bidding, campaign structure, keyword coverage, and ad assets; identify scalable product improvements from recurring operational problems.
Define product requirements, acceptance criteria, and release checks with technical partners; assess data flows, system interfaces, and failure cases when choosing an approach.
Partner on attribution, data quality, measurement, and policy constraints, tracing their effects on system decisions and agreeing on solution validation.
Translate commercial goals into product priorities and explain the expected benefit, cost, risks, and trade-offs of major investments.
Maintain clear, accessible records of product decisions, system behavior, and experiment findings.
Plan experiments and define success measures with Analytics and Data Science; assess incremental business value and recommend what to expand, change, or stop.
Improve dashboards, alerts, and operational workflows to detect problems early, assess system health, and reduce manual work.
Own daily coordination, documentation, and delivery while learning the business domain and turning that knowledge into clear requirements.