About the Role

We are seeking a Product Manager with strong expertise in AI-driven solutions to lead the development of conversational Voice AI products for the restaurant industry. In this role, you will combine product strategy, rapid prototyping, light engineering skills, and UX research to transform innovative ideas into real-world solutions. You will collaborate closely with engineers and data scientists to design seamless conversational experiences that enhance both customer interactions and restaurant operations. This is a 100% remote, full-time role.

Roles and Responsibilities

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

Qualifications Required

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
5+ years of product management experience, ideally in AI, SaaS, or conversational/voice technology products.
Hands-on technical skills with the ability to rapidly prototype and build proof-of-concepts.
Strong understanding of conversational AI, NLP, LLMs, and speech recognition technologies.
Proven ability to define KPIs, track product performance, and adjust strategies based on insights.
Excellent communication and collaboration skills, with experience working cross-functionally with engineering, data science, and UX research teams.
Strong problem-solving, analytical, and organizational skills.

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