Software Engineer I, Open Distribution
StubHub
Job Overview
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Job Description
Software Engineer I, Open Distribution
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.
Open Distribution is a brand-new area within StubHub’s product and tech organization, where we are building the future of partner inventory synchronization. As a Software Engineer I, Open Distribution on the Open Distribution team, you will contribute to the development and evolution of 0-to-1 systems that power millions of ticket transactions. You’ll leverage AI-driven tooling, agents, and automation to accelerate and simplify integrations, enabling our platform to scale rapidly using LLMs and tools such as OpenAI and Claude models.
This role is designed for early-career engineers and new graduates who want hands-on production experience, strong mentorship, and exposure to modern engineering practices, including AI-assisted development and GenAI tools such as Claude, in a collaborative team environment. You’ll work closely with Staff Engineers, Senior Engineers, and SDE II peers, contributing meaningful code while growing your technical skills.
Location: Hybrid (3 days in office/2 days remote) – Century City, CA
What You'll Do
- Use AI-assisted development tools (including Claude and other GenAI technologies) to support debugging, learning, documentation, and developer productivity
- Implement features, enhancements, and bug fixes in backend services that support partner inventory ingestion, synchronization, and marketplace publishing
- Learn and apply distributed systems concepts, including event-driven architectures, APIs, and data processing pipelines
- Participate in code reviews, design discussions, pairing sessions, and team collaboration
- Contribute to improving partner-facing APIs, error handling, and internal tooling
- Learn how to diagnose production issues using logging, monitoring, and observability tools
Why You’ll Love This Team
- Gain hands-on experience using GenAI tools like Claude as part of real-world engineering workflows
- Contribute to high-impact systems used by millions of customers and partners
- Take ownership of production code early in your career, with guidance and support
- Grow on a team that values collaboration, curiosity, feedback, and continuous learning
What You've Done
- Recent graduate or software engineer with up to ~2 years of experience (including internships, co-ops, or substantial academic projects)
- Strong understanding of computer science fundamentals, including data structures and algorithms
- Familiarity with at least one backend programming language like Java, Python, or Golang
- Basic experience building or consuming APIs and experience working with LLM frameworks and AI Platforms such as Anthropic or ChatGPT either in school or on side projects
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent hands-on experience
What We Offer
- Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
- Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
- Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
- Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.
The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. 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.
Salary Range
$120,000—$150,000 USD
About Us
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. 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. Come join our team for a front-row seat to the action.
For California Residents: California Job Applicant Privacy Notice found here
We are an equal opportunity employer and value diversity on our team. 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.
Key skills/competency
- Backend Development
- Distributed Systems
- API Integration
- AI-Assisted Development
- Generative AI (GenAI)
- LLM Frameworks
- Data Structures & Algorithms
- Java/Python/Golang
- Code Review
- Production Support
How to Get Hired at StubHub
- Research StubHub's innovation: Study their mission, values, recent news, and focus on Open Distribution’s AI-driven platform.
- Tailor your resume: Highlight experience with backend languages, APIs, LLMs, and distributed systems for this Software Engineer I role.
- Showcase AI/GenAI skills: Emphasize any academic projects or internships involving OpenAI, Claude, or Anthropic models.
- Prepare for technical interviews: Brush up on computer science fundamentals, data structures, algorithms, and system design concepts.
- Demonstrate collaboration: Be ready to discuss teamwork, code reviews, and contributions in a collaborative engineering environment.
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