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.

We are seeking an Engineering Manager to lead our Core Platform — Storage & Streaming team. In this role you will lead and grow the team, and own the platform and roadmap for the data infrastructure that P0 workflows across all of StubHub depend on.

The team owns three business critical domains:

Streaming — StubHub's event streaming and messaging platform, processing 10–30 billion events per day for ~100 service teams. The team is at the beginning of a major program to bring streaming home to AWS, consolidating from Azure (EventHub, ServiceBus) onto a modern, Kafka-compatible platform with schema enforcement, self-service SDKs, and direct streaming and querying of event data from S3.
NoSQL / Nonrlational Storage — the platform products for S3, DynamoDB, Redis, MemoryDB, and ElasticSearch, offered as self-service "paved paths" to engineering teams across the company.
Relational Data — the company's relational data estate: SQL Server and PostgreSQL, plus the associated tooling and operations — DB CI/CD, AI-enabled database access, SOX access controls, and database performance support for all of engineering.

You will lead a team of talented engineers across three critical infrastructure domains, building core platform products used by hundreds of engineers on a daily basis. You will set and execute a multi-year roadmap, own P0 compliance obligations (SOX, GDPR/CCPA), and partner with ~100 consuming teams plus stakeholders across Legal, Compliance, Security & Data Governance, and Finance.

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

What You’ll Do:

Lead, grow, and retain a high-performing team of database and platform engineers — hiring, onboarding, mentoring, performance management, and career development.
Own the multi-year roadmap across all three domains: the Azure→AWS streaming migration, the NoSQL paved paths, and relational modernization (PostgreSQL adoption off SQL Server, DB CI/CD, AI-enabled database access, and workload separation).
Set technical direction and drive key architecture and vendor decisions in partnership with your Staff/tech leads, balancing delivery speed against the reliability of P0 infrastructure.
Own operational accountability: governance of 300+ database change requests per month, database performance support for engineering, and incident escalation for P0 systems.
Ensure compliance is designed into the platform — SOX controls, GDPR/CCPA data privacy, data classification, and access governance.
Drive execution excellence: capacity planning, sequencing, and delivery across a 40+ item roadmap; establish clear SLAs and observability for shared platforms.
Partner broadly across ~100 consuming teams, Legal/Compliance, Security & Data Governance, Finance, and engineering leadership.
Shape StubHub's operational data strategy and represent the team in cross-org planning.

What We’re Looking For:

Experience managing engineering teams, including platform or infrastructure teams.
A strong technical foundation in distributed systems or data infrastructure — you can hold your own in architecture and vendor discussions.
Experience owning and delivering multi-quarter, cross-team programs or migrations end-to-end.
A track record of hiring, growing, and retaining senior engineers; comfortable managing Staff-level ICs.
Experience with compliance obligations (SOX, GDPR/CCPA) or a demonstrated ability to operate in a regulated environment.
Familiarity with cloud data platforms — streaming/messaging (Kafka or Kafka-compatible), relational (SQL Server, PostgreSQL), NoSQL (DynamoDB, Redis, S3, ElasticSearch), AWS/Azure, Kubernetes/EKS, and Terraform.