Sr. Product Manager

Sr. Product Manager – AI & Intelligent Ordering Platforms

About Tillster
Headquartered in the USA, Tillster is the global leader in digital ordering and customer engagement solutions. For over a decade we have developed revolutionary self-service, ordering and payments solutions – for mobile, tablet, online, kiosk, call center, and more – creating personalized interactions based on consumer preferences, language, and currency. Our platform is compatible with 15+ unique POS systems, representing over 90% coverage in multi-unit restaurants. We offer one platform: one scalable, enterprise class solution – to create world-class digital engagement solutions. Our mission and passion are one in the same: Empower restaurants and consumers to engage and transact anywhere, anytime, and from any device - one consumer at a time, one order at a time, billions of times over. In doing so, together we are transforming e-commerce in restaurants and making the till grow for Tillster and our customers.

The Role: Product Leader for AI-Driven Experiences

We are seeking a Sr. Product Manager to lead the evolution of our platform into an AI-enabled, intelligent ordering ecosystem. This role will drive the integration of machine learning, large language models, and Agentic AI systems into our core products—unlocking new levels of personalization, automation, and operational efficiency.

You will operate at the intersection of product strategy, data, and engineering, owning high-impact initiatives that directly influence customer experience and business outcomes across global restaurant brands.

What You’ll Do

Product Strategy & Execution

• Define and execute product strategy for AI-powered ordering, engagement, and operational tools

• Own the product lifecycle from discovery through delivery, launch, and continuous optimization- Hands On

• Partner with Engineering, Data Science, UX, and business stakeholders to deliver scalable, high-impact solutions

• Translate complex business problems into clear product requirements, roadmaps, and measurable outcomes

AI / Agentic AI Product Development

• Identify and deliver AI-driven product opportunities, including:

• Personalization and recommendation engines

• Predictive ordering and dynamic upsell

• Intelligent customer engagement (chat, voice, and digital assistants)

• Design and implement Agentic AI workflows (autonomous systems that can make decisions and take actions across the platform)

• Leverage LLMs (Large Language Models) to enhance customer interactions and internal tools

• Partner with Data/AI teams to define model requirements, evaluation frameworks, and performance metrics

• Drive adoption of automation and orchestration to reduce manual processes and improve operational efficiency

Customer & Business Impact

• Deliver measurable outcomes, including conversion rate lift, average order value (AOV), and customer retention

• Define and track AI product KPIs (model accuracy, latency, engagement, automation rates, etc.)

• Act as the voice of the customer while balancing technical feasibility and business priorities

Cross-Functional Leadership

• Lead prioritization across stakeholders and align teams on roadmap and execution

• Communicate product vision, progress, and outcomes to executive leadership

• Foster a culture of innovation, experimentation, and continuous improvement

About You

Core Product Experience

• 5+ years of experience as a Product Manager/Product Owner in a fast-paced SaaS or technology environment

• Proven track record of delivering end-to-end products from concept to launch

• Strong experience with eCommerce, transactional systems, or high-scale consumer platforms, Restaurant Platforms

• Deep understanding of Agile/Scrum methodologies and product development best practices

AI & Technical Acumen

• Experience building or working with AI/ML-powered products (recommendation systems, NLP, predictive analytics, etc.)

• Familiarity with Agentic AI concepts and autonomous workflow design

• Understanding of LLMs (e.g., OpenAI, Anthropic) and their application in real-world products

• Ability to collaborate effectively with Engineering and Data Science teams on technical solutions

• Strong grasp of APIs, data flows, system integrations, and cloud-based architectures