Senior Project Manager, Streaming Intelligence

• 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.

• 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.

• Ownership over Participation- You take responsibility for achieving holistic outcomes, prioritize key objectives, and adapt quickly when situations require a different approach. You follow through even against the toughest challenges. 

• Team over Stars- You are a bridge builder, establishing processes and relationships with teams outside your own. You work to rally around common goals, find win-win solutions, compromise when necessary, and help others succeed. 

• Growth over Comfort- You are driven by a desire to grow and actively seek opportunities to expand your comfort zone, skills, and confidence. You embrace new challenges with curiosity, accepting discomfort and failure as opportunities to learn. 

• Fairness over Popularity- You approach decisions with a scientist’s mindset, challenging your assumptions and remaining objective. You consider long-term impact rather than relying on short-term gains, proactively seek others’ perspectives, and manage emotions in decision-making.