Senior Project Manager, Streaming Intelligence & Data Platform

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.

AI/ML Program Management

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.

Cross-Team Coordination & Governance

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.

Operational Excellence & AI-Forward Delivery

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.