Senior Software Engineer, Data

🕒 July 6

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PlayOn! Sports

WebsiteLinkedInAll Job Openings

201 - 500 employees

📱 Media

⚽ Sports

📚 Education

💰 $26M Series D on 2013-07

Media • Sports • Education

PlayOn! Sports is a company specializing in providing digital solutions for high school athletics and activities. They offer a comprehensive platform that integrates athletic management, digital ticketing, broadcasting and streaming, concessions, sponsorships, fundraisers, and athletic websites. Their brands include GoFan, the NFHS Network, and rSchoolToday, which collectively serve thousands of schools with over 500,000 events annually. PlayOn! Sports aims to enhance community engagement and ease administrative tasks for schools by offering tools like digital payment options, event streaming, and activity management. They play a significant role in connecting fans and communities through digital engagement with local school events.

📋 Description

• Ship AI-powered, data-driven features and experiences grounded in PlayOn’s data • Build, maintain, and improve APIs and backend services • Design and evolve data schemas and APIs that make our sports data accessible to both application code and LLM-driven features • Drive technical decisions for the features you ship, and contribute to performance and operational health across the application • Establish eval and observability practices for AI features so regressions are caught in CI rather than by users

🎯 Requirements

• 5+ years of professional software engineering experience, including backend web application development • Experience building production features backed by LLMs, such as RAG, semantic/vector search, or tool use / function calling • Hands-on experience with cloud data warehouses (Snowflake or similar) • Strong expertise in C# .NET, Python, SQL, REST API design, and data modeling • Working knowledge of AWS for deploying and operating backend services • Experience building eval frameworks for AI systems, including golden sets, LLM-as-judge, and regression detection, applied to production AI features and/or agentic dev workflows • Solid PostgreSQL experience, including schema design, query tuning, and modeling data for both transactional and analytical/AI access patterns • Experience with CI/CD pipelines, automated testing, and Git/GitHub workflows • Ability to work effectively in a collaborative, agile, team-oriented environment • Bachelor’s in Computer Science or equivalent experience preferred • **You Might Also Have** • Frontend development experience • Proficiency with load testing, observability, and reliability engineering practices • Experience working on high-traffic public-facing websites • Experience with vector databases or vector search • Experience exposing data and tools to LLMs via function calling, MCP, or agent frameworks • Knowledge of or interest in sports, sports management, and statistics

🏖️ Benefits

• Multiple medical insurance plans to choose from • Dental, vision life and disability insurance • Employee Emergency Fund • Company equity (stock options) • Open PTO policy • 401K plan with company match • Hybrid/flexible work environment