PlayOn! Sports

Customer Support

• Answer phones and provide excellent support for any troubleshooting with customers.
• Reply to customer service tickets via email for timely resolution.
• Enter high school sports rosters, schedules, and scores with a high level of accuracy and efficiency.
• Import data through our in-house software.
• Utilize MaxPreps live-scoring tools to cover football games on Fridays and Saturdays.

Customer Support Representative

Customer Success Manager

• Function as the customer advocate and provide internal feedback on how we can better serve our schools
• Manage all post-sale activity for clients through strong relationship-building, product knowledge, planning and execution
• Maintain a deep understanding of the product and speak with customers about the most relevant features/functionality for their specific business needs
• Increase customer retention through strategic and proactive engagement by ensuring our schools consistently realize value from the GoFan platform
• Track accounts to identify churn risk and work actively to eliminate that risk
• Simultaneously manage multiple customers who are at different points on the account lifecycle

Account Executive

• Achieve quarterly and yearly national advertising and brand partnership sales goals across MaxPreps and broader PlayOn portfolio
• Build impactful relationships within assigned market-specific holding cos, strategic agencies, and direct clients
• Operate alongside key internal departments to create unique and meaningful marketplace pitches that can help PlayOn stand out and win
• Establish strategies and roadmaps for supporting effective “hunting” (new business) and “farming” (renewals) opportunities

• Own and drive a full sales cycle from outbound prospecting and discovery to demo, proposal, and close, with high school coaches as your primary customer.
• Conduct outbound prospecting to identify and engage new coaching prospects within your territory, leveraging phone, email, video, and in-person outreach.
• Schedule and lead compelling product demonstrations tailored to the specific needs and goals of individual coaches and athletic programs.
• Sell consultatively, asking the right questions to deeply understand a coach’s challenges and positioning PlayOn’s Coaching Analytics as a solution to their real-world problems.
• Build and maintain strong relationships with both coaches and athletic directors, navigating multi-stakeholder decisions with clarity and confidence.
• Partner with internal sales, customer experience, and customer success teams to ensure a seamless customer journey and unified experience across PlayOn.
• Maintain a healthy pipeline and accurate forecasting in CRM (Salesforce), tracking all activity, opportunities, and outcomes with discipline.
• Become a deep product expert in PlayOn’s Coaching Analytics platform, staying current on product updates, competitive landscape, and trends in high school athletics.
• Provide structured feedback to product and marketing teams based on conversations with coaches, advocating for enhancements that meet real market needs.
• Represent PlayOn at relevant coaching events, conferences, and tradeshows to build brand presence and generate pipeline.

Sales Representative

Support Engineer

• Take initiative to identify potential issues before they escalate, reaching out to clients with tailored solutions that enhance their experience.
• Leverage your strong analytical skills to diagnose and resolve technical problems efficiently, ensuring clients receive timely and effective support.
• Make proactive calls to clients to check in, assess their needs, and provide updates, fostering strong relationships and a sense of partnership.
• Work closely with the support team to share insights and strategies that drive rapid resolution of client issues while maintaining high customer satisfaction.
• Identify opportunities for process enhancements and share feedback to improve our support operations, tools, and customer interactions.
• Stay informed about the latest product updates and industry trends, equipping yourself with the knowledge to provide outstanding support and guidance to clients.

Support Analyst

Analytics Engineer

• Build experiences our customers love. Embed in the Video product org alongside PMs, designers, and engineers, using data to help shape and ship features athletes and their families actually use. You are a builder on the product team, not a reporting function next to it.
• Strengthen and grow the data foundation. Make the models and pipelines we already have cleaner, more reliable, and more reusable, bring in new product, customer, and third-party signal we don't have today, and apply software discipline (version control, review, testing) throughout, so the team can trust the data and answer questions it currently can't.
• Build experimentation into a system that scales. Stand up the data and analysis layer behind A/B tests so the team can design, run, and read experiments quickly and consistently, rather than rebuilding the plumbing each time.
• Get instrumentation right at the source. Partner with product and engineering on event tracking and data contracts so the behavior we care about is captured accurately and completely from the start, then build the tests and monitoring that keep it that way.
• Power product with live data APIs. Build and own data endpoints that feed real product experiences, from spec through production.
• Surface insights and drive decisions. Turn the metrics that matter into clear, reliable insights and recommendations that move the business - building the dashboards and surfaces people trust to make decisions along the way.
• Develop predictive and causal models. Develop predictive and causal models that move the business, from a pLTV model for revenue forecasting to a propensity model that targets discounts without cannibalizing revenue to causal-inference work that pinpoints which behaviors actually drive retention.

Senior Analytics Engineer, Product

Data Entry

• Same-Day, Accurate Event Entry: Every event request received through Customer Success and Support is entered in GoFan HQ or processed via CSV import the same business day, fully reflecting each school’s specifications without error.
• High-Quality Data Standards: Event records are consistently complete, correctly formatted, and self-reviewed before submission, minimizing downstream errors that affect ticketing availability, school revenue, or a school’s standing in their community.
• Organized Request Management: Incoming event requests are tracked and processed systematically so no request is missed, duplicated, or left unresolved.
• Proactive Issue Resolution: Unclear or incomplete request details are flagged immediately to the appropriate Customer Success or Support team member so issues are resolved without delaying entry.

District Data Entry Specialist – Part-Time

• Drive significant new revenue growth by closing high-value deals with club and youth sports organizations
• Build a repeatable sales motion and outbound playbook for the youth sports vertical
• Help shape product and operational strategy by sharing market feedback and customer insights

Account Executive, Club & Youth Sports

Video Editor

• Produce AI-assisted video content for digital, social, editorial, studio, and podcast platforms
• Use AI video, audio, editing, scripting, motion, design, transcription, captioning, and voiceover tools to improve production efficiency and output
• Support studio programming by creating repeatable podcast-to-video workflows, including full episodes, cutdowns, topic segments, vertical clips, audiograms, highlight packages, and social promotional assets
• Build templates and production systems for recurring content formats such as rankings, player spotlights, team features, historical trends, recruiting stories, records, milestones, previews, recaps, and breaking news
• Partner with editorial teams to turn sports data, rankings, statistics, and story ideas into clear, engaging video narratives
• Collaborate with studio, social, and video teams to improve how podcasts and long-form programming are packaged, distributed, clipped, and extended across platforms
• Experiment with AI-generated visuals, synthetic or AI-assisted voiceover, automated editing, motion graphics, captions, archival footage, highlight-style storytelling, and platform-specific creative formats
• Evaluate new AI tools and recommend practical ways to integrate them into existing production workflows
• Document repeatable workflows so other producers, editors, social leads, and editorial team members can use them
• Maintain quality control around factual accuracy, sports context, rights usage, visual standards, tone, brand voice, and editorial integrity

AI Video Producer, Sports Data & Storytelling

• Interact with customers via email, phone and chat to proficiently and consistently handle any requests and troubleshoot issues
• Quickly identify and clearly communicate escalated customer needs to technical support staff and communicate case details to customers and/or management
• Maintain a high customer satisfaction with primary focus on providing the best customer experience to fans and partner schools
• Author, edit and publish quality Knowledge base content to improve customer self-service resources

Support Specialist

Product Manager

• Own engagement and retention as measurable disciplines - define the bar, instrument it, and connect the work to retention impact
• Lead the roadmap for engagement features across NFHS Network web and apps, balancing quick wins against durable bets
• Explore and ship new ways to use our video that create value for athletes and their families, from concept and prototype through launch and iteration
• Run a steady cadence of experiments, using device and browser segmentation to learn fast and decide with data
• Build and defend business cases for new investments, grounded in subscriber economics
• Partner with growth and marketing on go-to-market for every major launch - adoption metrics are part of the plan from day one, not an afterthought
• Prototype and pressure-test ideas before committing engineering cycles - you ship rough working versions, not just specs
• Represent the engagement product in leadership conversations with fluency in both the customer and financial dimensions

Senior Product Manager, Engagement

Data Engineer

• 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.