Engineering Manager - CX (Event)

Job description

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.

StubHub is hiring an Engineering Manager to lead the team responsible for the ticket-shopping experience within an event across web and mobile. You’ll help millions of fans evaluate ticket options, understand seats and prices, and confidently move toward purchase. This is a technical and commercial leadership role for someone who can turn customer insight and data into measurable business results, create direction through ambiguity, and build a high-performing engineering team.

Location: Hybrid (3 days in office/2 days remote) – New York City, NY

About the Team:

The Consumer Experience (CX) team is responsible for the end-to-end product experience for fans looking to discover, buy, and sell tickets to their favorite live events through our web and mobile platforms. It sits at the forefront of fulfilling StubHub’s mission to become the global destination for accessing live event experiences by crafting the product experience that millions of fans interact with every day.

Within CX, the Event team owns the shopping experience after a fan has selected an event. The team helps fans make sense of listings, seat information, prices, and ticket options so they can choose confidently and proceed toward checkout. Its work spans desktop, mobile web, and native apps, combining customer insight, thoughtful design, resilient engineering, ticket recommendations, personalization, and rapid experimentation.

Why This Role Matters:Event shopping is one of StubHub’s highest-traffic consumer experiences, with a direct connection to conversion and Gross Merchandise Sales (GMS). You’ll shape how fans evaluate their options and decide to buy, while guiding the systems that make those experiences fast, reliable, and trustworthy. Working closely with Product, Design, and Data, you’ll identify opportunities, build a roadmap, and coordinate across teams to deliver measurable customer and business impact.

What You’ll Do:

• Drive measurable commercial impact: Identify high-leverage customer problems within event shopping, define clear success metrics, and connect engineering investments to improvements in conversion, customer experience, and GMS.

• Lead through experimentation: Partner with Product, Design, and Data to form hypotheses, deliver focused experiments, evaluate results rigorously, and use what you learn to launch, revise, or stop investments.

• Create direction and execute quickly: Build a roadmap with your team and cross-functional partners, make sound decisions with incomplete information, and turn competing priorities into clear plans. Remove blockers and deliver with urgency and quality.

• Build a high-performing team: Hire exceptional engineers, establish clear expectations, and give the context and candid feedback people need to make strong decisions independently. Coach performance, develop senior technical leaders, and make timely, principled decisions when performance does not meet the bar.

• Own technical quality: Remain deeply engaged in code reviews, system design, and architectural decisions. Guide tradeoffs across backend and data systems, scalability, reliability, performance, security, and maintainability, and step into technical problems when the team needs your expertise.

• Partner across the business: Work as a counterpart to Product, Design, Data, and User Research to uncover opportunities and shape product decisions. Coordinate with Checkout, Catalog, Venue, and other engineering teams to manage dependencies and deliver a coherent customer experience.

• Apply AI thoughtfully: Identify practical opportunities to use AI in customer experiences and engineering workflows while establishing evaluation methods, quality thresholds, and safeguards.

What Success Looks Like:

• Measurable improvements in event-shopping conversion, customer confidence, relevance, and GMS, supported by clear evidence of the team’s contribution.

• A consistent experimentation cadence that produces customer learning and clear decisions, including when results are inconclusive or an approach needs to change.

• Fast, predictable delivery of high-quality initiatives, with clear priorities and effective coordination across teams.

• Stronger system health and engineering quality, reflected in latency, availability, incident reduction, maintainability, and development velocity.

• A high-performing team with clear context, strong accountability, direct feedback, growing technical leadership, and increasi

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