AI Data Engineer, Ring/Blink Customer Service Engineering and Insights

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About this role

AI Data Engineer, Ring/Blink Customer Service Engineering and Insights Hawthorne, California, USA We're hiring an AI Data Engineer to build and scale AI-powered analytics tools for Ring & Blink Customer Service. You'll turn AI prototypes into production systems that business users rely on daily - conversational analytics agents, AI teammates, self-service data tools, and intelligent automation. The team has a clear AI vision, active prototypes, and an engineering culture where everyone already uses AI in their daily work. Your job is to take ideas to production, keep them reliable, expand to new use cases, and own what you ship. You'll build fast, ship often, and iterate based on real user feedback. The team uses a mix of AI tools - some running locally for individual productivity, others deployed in the cloud for scalability and broader user access. You'll work across both: building AI agents and tools that range from developer-facing automation to user-facing analytics products. You'll work alongside data engineers, platform engineers, and BI engineers who own the underlying data infrastructure and dashboards. You own the AI-powered layer on top - the part that makes data accessible, answers trustworthy, and users self-sufficient. Key job responsibilities Build AI-Powered Data Products (45%) Business users shouldn't need to file a ticket to get answers. You build the tools that make them independent. * Build and deploy conversational analytics agents that let users query CS data in natural language * Productionize AI teammates and agents for specific use cases - transcript analysis, metrics Q&A,

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