Software Engineer I - Open Distribution (New Grad)

Position Overview

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. 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 an SDE-I 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.

Location: Hybrid (3 days in office/2 days remote) – Century City, CA

Key Responsibilities

• 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.
• Apply distributed systems concepts including event-driven architectures, APIs, and data processing pipelines.
• Participate in code reviews, design discussions, pairing sessions, and team collaborations.
• Contribute to improving partner-facing APIs, error handling, and internal tooling.
• Diagnose production issues using logging, monitoring, and observability tools.

Required Qualifications

• 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 familiarity with LLM frameworks and AI platforms such as Anthropic or ChatGPT.
• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent hands-on experience.

Benefits & Perks

• 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.
• Salary: $120,000—$150,000 USD
• Compensation: Top Tier Compensation Package with 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 recharge as needed.
• Benefits: Comprehensive Benefits Package featuring 401k, premium Health, Vision, and Dental Insurance options.