Product Manager; on-site

Overview

Product Manager (onsite) – Plano, TX

Welcome to Ziosk, where we empower restaurants to focus on what matters most: the guest experience! We pioneered the pay-at-the-table concept and are transforming the restaurant industry. Our solutions span hardware, software, cloud-based, and AI-driven products to help clients create the best guest experience and grow their bottom line. Our secret sauce? Our people who craft bold solutions and drive Ziosk as a leading pay-at-the-table provider in the industry.

We are looking for a seasoned Product Manager to join our Product team, contributing to the success of several Ziosk products with a focus on integration with online point of sale systems, loyalty programs, and handling customer data. This role supports Ziosk’s Platform & Integrations product strategy with an emphasis on applying AI-driven capabilities to enhance reliability, personalization, and automation across our ecosystem.

You will collaborate with developers, designers, QA, data scientists, and business stakeholders to ensure our products leverage AI and data to meet the evolving needs of restaurant operators and their guests. You should translate business requirements into intelligent, data-informed product experiences that drive measurable guest engagement, applying structured thinking and a strong understanding of how AI and machine learning can streamline workflows and unlock new value for customers.

Exceptional communication, organizational excellence, and proactive time management are essential in a fast-moving environment where technology and customer expectations evolve rapidly.

• Product Vision and Strategy:
  Define and communicate a forward-looking product vision that leverages AI-driven capabilities—such as predictive analytics, personalization models, and automation—to enhance integrations with payment and loyalty systems. Align AI-powered opportunities with company goals and contribute to Ziosk’s product roadmaps with other Product Managers.
• Customer & Market Insights:
  Gather and prioritize customer requirements, incorporating AI-supported research tools to identify patterns, sentiment, and unmet needs. Partner with the sales team to understand market demands, using data-driven insights to validate and refine product assumptions.
• Market Research:
  Conduct market research using traditional methods and AI-powered trend analysis to identify innovation opportunities. Use machine learning-based competitive scans, industry forecasting, and restaurant workflow modeling to shape product strategy.
• Stakeholder
  
  Collaboration:
  
  Collaborate with restaurant owners, managers, and staff to understand workflow challenges and guest experience pain points. Translate insights into actionable, AI-enhanced product requirements that streamline operations and unlock meaningful automation.
• Product
  
  Roadmap:
  
  Develop and maintain an AI-informed product roadmap, prioritizing features based on customer feedback, market signals, predictive KPIs, and opportunities where AI or machine learning can create measurable business value.
• User
  
  Experience:
  
  Advocate for exceptional user experiences by collaborating with designers to incorporate AI-powered UX patterns—such as adaptive interfaces, smart recommendations, and automated support flows—resulting in intuitive, personalized tablet and platform interactions.
• Performance Metrics:
  Define and track key performance metrics using advanced analytics, experimentation platforms, and model-level performance dashboards. Leverage AI-driven analytics to measure product success, detect anomalies, forecast usage trends, and identify optimization opportunities.
• Integration Ownership:
  Own end-to-end POS, payment, and loyalty integrations—incorporating AI where appropriate to enhance reliability, data mapping, fraud detection, and operational automation. Lead requirements definition, API coordination, partner enablement, certification flows, and release readiness across multiple platforms.
• Technical
  
  Collaboration:
  
  Partner closely with engineering, data science, and platform teams to translate business needs into scalable technical specs that incorporate AI…