Senior Project Manager, Streaming Intelligence & Data Platform

🕒 Maio 29

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PlayOn! Sports

SiteLinkedInTodas as Vagas

201 - 500 funcionários

📱 Mídia

⚽ Esportes

📚 Educação

💰 $26.000.000 Series D em 2013-07

Media • Sports • Education

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

• Serve as the primary delivery partner for the Streaming Intelligence product line and DPT, converting roadmap priorities into actionable project plans with clear milestones, owners, and dependencies. • Co-own quarterly and annual planning with the Principal PM—from ideation through go-to-market—ensuring engineering capacity, vendor timelines, and business priorities are aligned. • Track and report on product line KPIs defined by the Principal PM (accuracy benchmarks, processing latency, content coverage, downstream adoption) and surface risks or deviations early. • Partner with the data team on agentic AI enablement—coordinating efforts to surface data models and semantic views to the broader business through AI-powered interfaces, including usage tracking and accuracy assurance. • Manage delivery cadence for platform infrastructure initiatives including data governance rollouts, real-time streaming capabilities, and pipeline migration efforts—tracking phased delivery across multiple months with clear metrics of success. • Lead end-to-end program management for AI pipeline initiatives, including the game film analysis benchmarking program that evaluates vision models (e.g., Gemini Flash, Gemini Pro) against human-tagged ground truth across 28+ annotated fields per play. • Manage the cadence of model evaluation cycles: coordinating game imports, prompt engineering iterations, accuracy scoring, and cost analysis across multiple AI models. • Drive vendor integration workstreams—tracking deliverables, SLAs, and roadmap alignment with external computer vision and AI partners alongside the Principal PM. • Build and maintain project documentation for hybrid human-AI workflows, including escalation paths for ambiguous plays, quality review processes, and fallback handling. • Facilitate cross-team visibility across product, engineering, data, design, and QA to ensure aligned execution mapping back to PlayOn’s unified product objectives: Engaged Communities, Resilient Services, and New Customer Markets. • Own dependency mapping, risk management, and blocker resolution for strategic AI initiatives spanning multiple engineering teams. • Develop and maintain project dashboards, status reports, and executive-level communications that increase transparency of engineering progress to the broader business. • Provide governance and optimization for Atlassian tools (Jira, Confluence) to ensure standardized workflows, consistent estimation practices, and clear traceability from strategy to execution. • Champion operational improvements to planning cycles, stakeholder coordination, cross-org meetings, and feedback loops—creating transparency through standardized tooling and repeatable frameworks. • Actively incorporate AI tools (e.g., Claude, automation platforms) into your own delivery workflows: automating status reports, synthesizing meeting notes, generating risk analyses, and accelerating documentation. • Contribute to PlayOn’s broader AI maturity journey by demonstrating AI-augmented delivery practices that can be adopted across the PMO and engineering organization.

🎯 Requisitos

• 6–8+ years of experience in project or program management within software engineering environments, with a strong grasp of both the product development lifecycle (PDLC) and software development lifecycle (SDLC). • Demonstrated experience managing technical programs involving AI/ML, data platforms, or similarly complex technical domains—you understand model evaluation, data pipeline architecture, medallion/layered data modeling concepts, and iterative development cycles. • Working fluency with AI/ML concepts and modern data platforms: you can follow discussions about model accuracy, prompt engineering, token economics, semantic layers, data governance, and human-in-the-loop workflows without needing everything translated. • Proven ability to partner closely with senior product leaders, translating strategic vision into structured delivery plans and holding cross-functional teams accountable to commitments. • Strong communication and influencing skills with the ability to engage engineers, ML vendors, and non-technical stakeholders with equal effectiveness. • Deep familiarity with agile methodologies and experience managing initiatives with multiple teams, external partners, and moving parts. • Proficiency with Jira, Confluence, and modern project management tooling. Experience establishing governance standards and optimizing workflows across teams. • An AI-forward personal practice—you already use AI tools to accelerate your own work and can demonstrate how automation improves delivery outcomes. • Preferred • Experience with computer vision, video processing, or media pipeline programs (encoding, segmentation, metadata extraction). • Familiarity with vendor management for AI/ML services, including evaluating model performance, negotiating SLAs, and managing integration timelines. • Background in sports media, sports data, or adjacent domains (prep sports, broadcast, sports tech). • Exposure to modern data stacks (Snowflake, dbt, Hightouch, Kafka) and event-driven architectures, including familiarity with medallion architecture patterns (Bronze/Silver/Gold). • Experience with OKRs, KPIs, or strategic planning frameworks in a product-led organization. • Familiarity with AI coding assistants, agentic workflows, or process automation tools beyond basic prompt usage.

🏖️ 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