Senior Software Engineer

🕒 Maio 6

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PlayOn! Sports

SiteLinkedInTodas as Vagas

201 - 500 funcionários

📣 Marketing

📦 Logística

💼 Consultoria

💰 $26.000.000 Series D em 2013-07

Marketing • Logistics • Consulting

A PlayOn! Sports é uma empresa especializada em fornecer soluções digitais para esportes e atividades de ensino médio. Eles oferecem uma plataforma abrangente que integra gestão atlética, ingressos digitais, transmissão e streaming, concessões, patrocínios, arrecadação de fundos e sites atléticos. Suas marcas incluem GoFan, a NFHS Network e rSchoolToday, que coletivamente atendem milhares de escolas com mais de 500. 000 eventos anualmente. A PlayOn! Sports visa melhorar o engajamento comunitário e facilitar as tarefas administrativas para as escolas, oferecendo ferramentas como opções de pagamento digital, transmissão de eventos e gestão de atividades. Eles desempenham um papel significativo ao conectar fãs e comunidades através do engajamento digital em eventos escolares locais.

Descrição

• Build and ship human-in-the-loop interfaces that enable internal operators to review, correct, and approve AI-generated sports statistics in real time across thousands of concurrent live streams. • Design and develop fan-in-the-loop experiences — interactive highlights, live stat overlays, and engagement features — across NFHS Network, GoFan, and MaxPreps. • Own features end-to-end: from data modeling and API design through frontend implementation and production deployment. You’ll ship, not just spec. • Integrate AI/ML model outputs (computer vision, LLMs) into production applications, building the service layer between models and users. • Develop reusable Python service templates and UI component patterns that establish the team’s standard for AI-forward development. • Collaborate with computer vision engineers, product managers, and data teams to translate pipeline outputs into intuitive, performant user experiences. • Contribute to system design and architecture decisions within the streaming intelligence program. Participate in code reviews, design reviews, and technical documentation. • Help evaluate and integrate third-party tools and vendor APIs (annotation platforms, model serving infrastructure) as the platform scales.

🎯 Requisitos

• 3+ years of professional software engineering experience with strong Python skills and a track record of building production web applications and APIs. • Builder mentality — you’ve shipped end-to-end features from concept to production, not just maintained existing systems. You bias toward action and iterate quickly. • Experience integrating AI/ML models into user-facing applications (LLM APIs, computer vision pipelines, or similar). You understand the practical challenges of making model outputs useful to real people. • Solid fundamentals in API design, data modeling, and service architecture. You write clean, testable code and care about the systems you leave behind. • Familiarity with cloud infrastructure (AWS EKS, S3) and modern data tooling (Snowflake, Kafka, or similar). • Strong communicator who works well across disciplines — you can talk to a product manager about user flows and a data scientist about model outputs in the same afternoon. • Bonus: frontend experience with React/TypeScript (especially interactive annotation or dashboard UIs), familiarity with sports data or video analytics, experience with annotation tooling (Roboflow, CVAT, Label Studio), or interest in developer experience and internal tooling.

🏖️ Benefícios

• 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