PlayOn! Sports logo
PlayOn! Sports

The nation's leading high school media company providing live streaming and digital ticketing services.

Senior Project Manager, Streaming Intelligence & Data Platform

Data EngineerData EngineerFull TimeRemoteSeniorTeam 201-500H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

8 days ago

Salary

0

Seniority

Senior

Bachelor Degree6 yrs expEnglishFlashKafkaSDLC

Job Description

Senior Project Manager, Streaming Intelligence & Data Platform

PlayOn! Sports

• 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.

Job Requirements

  • 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.

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

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