Technical Product Manager - Voice AI (US) - Remote Eligible

Technical Product Manager

We are seeking a Technical Product Manager to lead the development of our next-generation Voice AI products for the restaurant industry, leveraging cutting-edge LLM and speech technologies to transform how guests place orders and interact with brands. Our products power conversational AI experiences for restaurants across the drive-thru and phone channels (e.g. take-out)—delivering fast, accurate, and natural conversations that help improve service speed, boost order accuracy, and free staff to focus on hospitality.

In this role, you'll combine product strategy, rapid prototyping, light engineering skills, and UX research to bring innovative ideas from concept to market. You'll work closely with engineers and data scientists to design conversational experiences that are delightful, impactful, and optimized for real-world restaurant environments. You'll identify and develop new features that improve accuracy, coverage, and operational performance, as well as define the KPIs and metrics that guide product success. Through experimentation with AI models and continuous iteration, you'll ensure our solutions deliver seamless, real-time ordering experiences for both customers and restaurant staff.

This role is 100% remote, full-time.

Essential Job Functions

• Translate product vision into clear, actionable roadmaps and delivery plans for Voice AI solutions in the restaurant industry.
• Gather and prioritize requirements from customers, internal stakeholders, and market research.
• Use data insights, user feedback, and industry trends to identify opportunities and define impactful product features.
• Define, scope, and launch features that improve AI accuracy, expand coverage, and enhance operational performance.
• Set KPIs and success metrics, monitor performance, and adjust priorities based on data insights.
• Rapidly prototype and build proof-of-concepts to validate ideas before full-scale development.
• Work with engineering and data science to test and iterate on conversational AI capabilities.
• Conduct competitive analysis and stay ahead of trends in LLMs, speech recognition, and conversational AI.
• Manage timelines, dependencies, and trade-offs to ensure successful product launches.
• Continuously refine the product based on performance metrics and customer feedback.