Are you a passionate, self-starting Program Manager interested in facilitating Alpha, Beta, and Delta testing for products designed to reduce crime in neighborhoods? Ring is looking for a Program Manager who is customer obsessed, has a bias for action, and wants to learn and be curious.

You will join the Ring Insights Team in supporting our product team in managing highly successful Alpha, Beta, and Delta tests that bring new products to market. In this role, you'll leverage AI-powered analytics tools to accelerate data processing and surface insights from user feedback at scale, while applying your strategic thinking and stakeholder relationship management skills to drive successful product launches. This is an opportunity to combine AI-enhanced efficiency with human-centered research expertise to amplify your impact.

Key job responsibilities
* Drive simultaneous Alpha and Beta testing programs by deploying AI-driven test scenario generation and anomaly detection systems to identify edge cases across hardware, firmware, software, and mobile applications, while applying human judgment to prioritize critical issues and balance risk against launch timelines
* Collaborate with Product Management to gain deep product knowledge and leverage AI-powered content analysis tools to automatically generate targeted test scenarios and adaptive user feedback surveys, while exercising strategic thinking to ensure alignment with product vision and customer needs
* Strategically recruit and manage global test participants to ensure diverse representation across target markets and user personas
* Monitor and optimize worldwide tester engagement through AI-based predictive models that forecast participant churn, automatically trigger personalized re-engagement workflows, detect device connectivity issues, and surface participation anomalies, while using human judgment to interpret behavioral patterns and craft meaningful interventions
* Leverage AI-powered analytics tools to process survey results and user feedback at scale, automatically categorize sentiment, identify emerging themes, and flag critical issues in real-time, while applying human judgment to interpret nuanced insights, validate AI-generated patterns against qualitative context, and translate findings into actionable product recommendations that balance technical feasibility with customer impact
* Synthesize AI-generated trend reports with qualitative customer insights and cross-functional stakeholder input to develop comprehensive recommendations, using machine learning models to surface non-obvious correlations and predict feature impact, while exercising critical thinking to balance data-driven insights with strategic business context, organizational constraints, and long-term vision
* Coordinate seamlessly with worldwide stakeholders and cross-functional teams across multiple time zones, navigating complex organizational dynamics and building trusted relationships
* Maintain strict compliance with Amazon's Prototype Security protocols and Trade Compliance regulations, exercising human judgment on ambiguous compliance scenarios
* Monitor and assess competitive landscape, market dynamics, and emerging industry trends to advocate on behalf of the customer
* Partner strategically with worldwide shipping teams to establish clear delivery timelines, provide early tracking information, and maintain efficient communication channels, ensuring test products reach global participants by target in-hand dates for synchronized program launch
* Exercise critical thinking to resolve conflicts between AI recommendations and real-world constraints, making judgment calls that balance competing priorities across quality, timeline, and resource considerations

About the team
The Ring Insights organization, founded in 2017, is a growing group of customer obsessed individuals. Our work and workstreams center around identifying customer needs and advocating for them through Alpha, Beta, and Delta Testing. We're actively evolving our capabilities by integrating AI-powered analytics and automation tools to drive deeper insights at scale while significantly reducing manual overhead. This transformation enables our team to process larger volumes of user feedback, identify patterns across global test populations more quickly, and generate data-driven recommendations faster than ever before. By leveraging AI to handle repetitive analytical tasks and accelerate reporting, our team members can focus their expertise on building meaningful relationships with stakeholders, applying contextual judgment to complex scenarios, and translating insights into strategic product recommendations