Software Engineer I - Direct Issuance

We’re seeking a Software Engineer – AI Enablement to help shape how StubHub adopts and scales AI across the company. This role is about making AI practical, safe, and valuable by empowering teams to experiment confidently, automate intelligently, and deliver better outcomes faster.

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You’ll work across technical and business domains to design tools, frameworks, and patterns that make AI accessible to everyone, not just machine learning experts. 

Why We Need You We’re looking for experienced AI Engineers to lead the development and implementation of AI-driven capabilities across our organization. This role is critical in introducing cutting-edge AI tooling, defining and scaling best practices, and building custom models that solve real business problems. You’ll partner closely with cross-functional teams to identify high-impact use cases, architect and deploy robust AI solutions, and help shape the company’s broader AI strategy. The ideal candidate blends deep technical expertise in machine learning, LLMs, and MLOps with the ability to think strategically, influence stakeholders, and deliver scalable, production-ready systems that create measurable value for the business. 

Location: Hybrid (3 days in office/2 days remote) – Aliso Viejo, CA or Santa Monica, CA

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What You'll Do:

AI Tooling & Infrastructure 

• Design and implement internal AI platforms and tools that make it easy for teams to build with generative and agentic AI. 
• Develop reusable components for prompt orchestration, model evaluation, and workflow automation. 
• Partner with engineers, data scientists, and product teams to embed AI into StubHub’s core products and internal processes. 
• Define patterns and frameworks for safe, scalable, and effective AI usage. 

Enablement & Best Practices 

• Lead by example in applying AI to real business challenges from customer support to pricing insights to developer productivity. 
• Navigate ambiguity with curiosity and creativity by shaping direction even when problems aren’t fully defined. 
• Engage deeply with business teams to understand their requirements, challenges, and workflows: translating those insights into innovative, AI-driven solutions. 
• Create playbooks, workshops, and documentation to help teams become confident AI practitioners. 
• Establish principles for prompt engineering, data quality, and human-in-the-loop feedback. 
• Foster a culture of responsible experimentation and continuous improvement. 

Agentic & Generative AI Development 

• Build and optimize AI agents that enhance workflows, automate tasks, and provide insights. 
• Prototype and refine LLM-powered solutions using modern frameworks and APIs. 
• Track performance, measure impact, and evolve solutions over time based on real-world usage. 

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What You've Done:

• 1-2 years of hands-on experience in software engineering, AI development, or technical solution delivery 
• Delivered real impact through AI, automation, or data-driven solutions — whether as an engineer, analyst, or product builder. 
• Collaborated across teams to identify use cases, define success, and deploy working systems that improved outcomes. 
• Adapted and learned fast, experimenting with new AI tools and frameworks to find practical, scalable solutions. 
• Balanced hands-on building with strategic thinking — understanding when to ship, when to experiment, and when to scale. 
• Experience integrating or deploying AI systems (e.g., chatbots, assistants, RAG pipelines, or workflow agents). 
• Comfortable working with modern software environments (cloud platforms, APIs, version control, CI/CD). 
• Excellent communication and storytelling skills — able to translate technical work into clear business value. 

It would be nice if you have: 

• Experience enabling organizational AI adoption or building internal AI platforms or tools. 
• Familiarity with LLM frameworks (LangChain, OpenAI, Anthropic, HuggingFace, etc.). 
• Understanding of data privacy, compliance, and ethical AI practices (GDPR, CCPA). 
• Background in change management, developer enablement, or digital transformation. 
• Degree in Computer Science, Data Science, or a related technical field (or equivalent hands-on experience).