Engineering Manager - CX (Event)

StubHub • New York, NY

5h • $300,000 - $400,000 • Hybrid

About The Position

StubHub is hiring an Engineering Manager to lead the team responsible for performer landing and event selection experiences across web and mobile. The role combines technical and commercial leadership, with ownership of highly visible consumer experiences used by millions of fans. The manager will turn customer insight and data into measurable business results, lead a high-performing engineering team, and raise standards in product thinking, experimentation, technical judgment, and talent development.

The Consumer Experience team builds the end-to-end experience for fans discovering, buying, and selling tickets. Within it, the Events team guides fans from exploring performers, teams, and tournaments to selecting an event. The manager will lead this commercially important entry point for paid search, organic discovery, and other high-intent traffic. Product and technical decisions affect conversion, engagement, retention, and Gross Merchandise Sales.

The role partners closely with Product, Design, Data, Marketing, and other engineering teams. It includes defining success metrics, running experiments, turning ambiguous problems into focused plans, making technical tradeoffs, and applying AI thoughtfully. The position is hybrid, with three days in the New York City office and two days remote.

Requirements

• At least 7 years of software engineering experience, including technical ownership of production systems and business-critical customer experiences.
• At least 3 years of direct people leadership experience, with meaningful ownership of hiring, coaching, performance reviews, promotions, performance improvement, and difficult talent decisions.
• Experience leading engineering for consumer-facing web or mobile products measured by commercial or customer outcomes such as conversion, revenue, retention, or engagement.
• Strong technical judgment and recent participation in code reviews, system-design reviews, and architectural decisions; regular coding is not required.
• Demonstrated success using experimentation, customer evidence, and data to guide product and engineering investment decisions.
• Ability to work from first principles, create direction without a complete playbook, prioritize rigorously, and deliver under tight timelines.
• Experience applying AI to customer products or engineering workflows, with understanding of quality evaluation, guardrails, and measurable impact.
• Track record of building high-performing teams, delivering candid feedback, developing senior engineers, and maintaining a high performance bar.

Responsibilities

• Identify high-leverage customer problems, define success metrics, and connect engineering investments to improvements in conversion, engagement, retention, and Gross Merchandise Sales.
• Partner with Product, Design, and Data to form hypotheses, run focused experiments, evaluate results, and decide whether to launch, revise, or stop investments.
• Turn ambiguous customer and business problems into focused plans, make decisions with incomplete information, remove blockers, and deliver commitments with urgency and quality.
• Hire engineers, set clear expectations, coach performance, develop senior technical leaders, and make timely, principled talent decisions.
• Stay engaged in system-design and code-review discussions, challenge architectural decisions, and guide tradeoffs involving scalability, reliability, performance, security, and maintainability.
• Identify practical uses of AI in customer experiences and engineering workflows, and establish evaluation methods, quality thresholds, and safeguards.
• Partner with Product, Design, Data, Marketing, and other engineering teams on roadmap decisions, contributing customer, commercial, and technical judgment.
• Improve customer and commercial outcomes, experimentation cadence, delivery predictability, system health, engineering quality, and team performance.

Benefits

• Equity and compensation upside tied to impact.
• Unlimited Flex Time Off.
• 401(k).
• Health insurance.
• Vision insurance.
• Dental insurance.
• Paid parental leave.
• Comprehensive benefits package.
• Accelerated growth environment with autonomy to lead experiments and tests at scale.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed