StubHub

StubHub

Associate Product Manager - Marketing Operations and Automation

New York, New York, United States · Senior

Sponsorship not specified$120k-$140kDetected 23 days ago
SwiftSQLA/B TestingProduct ManagementCRMCommunication

Stay score

odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$129,2511 entry
Level II$168,3142 entries
Level III$207,3763 entries
Level IV$246,4384 entries

The bottom of this range ($120,000) is below the Level I prevailing wage of $129,251. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

DOL prevailing wage, 2026-27 wage year · Marketing Managers (11-2021) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card intent detected

STUBHUB, INC. obtained a prevailing wage determination for Data Scientists in New York, NEW YORK on 2026-06-30. No matching green-card filing appears in our data yet. The determination expires in 22 days (2026-09-27), and a green-card filing must follow before then or the employer starts over.

Files H-1B transfers

15 transfer filings in the last year, covering 15 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • 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.
  • As an Associate Product Manager, you'll operate at the intersection of Product, Marketing, Engineering, Data, and Operations.
  • The anticipated gross base pay range is below for this role.

Responsibilities

  • Own the operational workflow for high-priority email and push campaigns, coordinating campaign intake, prioritization, execution, QA, approvals, and launch
  • Partner closely with Marketing, Engineering, Product, Data, Analytics, Design, and Partnerships to ensure campaigns are delivered accurately and on time
  • Manage competing priorities across a fast-moving campaign pipeline where high-value opportunities often emerge with little notice
  • Develop a deep understanding of the end-to-end campaign lifecycle and identify recurring operational bottlenecks that limit speed or scale
  • Partner with Engineering and Product teams to improve campaign tooling, automation, data flows, and AI-enabled workflows that reduce manual effort and improve execution quality
  • Build scalable operating processes, prioritization frameworks, documentation, and reporting that improve team efficiency and visibility
  • Drive experimentation around new campaign strategies, operational workflows, and automation capabilities to continuously improve execution
  • Demonstrated ability to own complex projects involving multiple stakeholders and competing priorities
  • Ability to think like a product manager by identifying process gaps, defining requirements, and partnering with Engineering to build scalable solutions
  • Excellent written and verbal communication skills with the ability to create clarity in ambiguous environments

Requirements

  • 2-5+ years of experience in product management, marketing operations, program management, consulting, or another highly cross-functional operational role

Nice to have

  • Familiarity with SQL, dashboards, or semantic analytics tools
  • Exposure to APIs, event-driven systems, recommendation engines, or AI-enabled workflow automation
  • Experience in ecommerce, marketplaces, ticketing, travel, gaming, or live entertainment

Skills

  • StubHub is on a mission to redefine the live event experience on a global scale.
  • The same goes for our sellers.
  • Hybrid (3 days in office/2 days remote) - New York, NY

Compensation

  • $120,000 - $140,000 USD
  • The anticipated gross base pay range is below for this role.

Benefits

  • Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.
  • 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.
  • We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Company info

  • StubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere.
  • Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies.
  • Come join our team for a front-row seat to the action.
  • For California Residents:
  • We are an equal opportunity employer and value diversity on our team.
  • With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences.

This listing is sourced directly from StubHub's careers page and normalized into a canonical job model.