Product Manager (on-site)

Responsibilities

• 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.
• 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 firsthand, using data driven insights to validate and refine product assumptions.
• Conduct market research using both 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.
• Collaborate with restaurant owners, managers, and staff to understand workflow challenges and guest experience pain points.
• Translate those insights into actionable, AI enhanced product requirements that streamline operations and unlock meaningful automation.
• Develop and maintain an AI informed product roadmap, prioritizing features and enhancements based on customer feedback, market signals, predictive KPIs, and opportunities where AI or machine learning can create measurable business value.
• 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.
• 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.
• 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.
• Partner closely with engineering, data science, and platform teams to translate business needs into scalable technical specs that incorporate AI models, APIs, and data pipelines.
• Ensure responsible AI practices, model governance, and clear system architecture to support long-term scalability.

Qualifications

• Minimum of 5 years of experience as a Product Manager or similar, with demonstrated experience designing software through the full product life cycle from idea through release.
• Proven track record of launching products or features involving POS integrations, loyalty programs, and handling customer data.
• Familiarity and hands-on experience with AI tools, methodologies, and frameworks used for product discovery, analytics, automation, or personalization (e.g., ML driven insights, predictive models, LLM powered workflows, or AI assisted research and prototyping tools).
• Ability to collaborate with data science and engineering teams to translate business needs into AI enabled solutions.
• Deep understanding of restaurant operations, workflows, and customer service standards preferred.
• Proficiency in agile development methodologies and familiarity with software development processes.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders.
• Strong analytical and problem-solving abilities, with a keen eye for detail and a passion for innovation- including the ability to leverage AI to uncover patterns, validate hypotheses, and generate data driven decisions.
• Ability to work independently and as part of a team, managing multiple projects simultaneously.
• Experience with technologies used in hospitality environments, such as POS systems, ordering platforms, and proprietary mobile devices.
• Comfortable operating in fast-moving environments with evolving requirements, technical constraints, AI driven innovations, and multiple external partners.