Product Builder

For over four decades, PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology, empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100,000 restaurants in more than 110 countries. Embracing our "Better Together" ethos, we offer Unified Customer Experience solutions, combining point-of-sale, digital ordering, loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings.

To learn more, visit  or connect with us on Linked In, X (formerly Twitter), Facebook, and Instagram.

Product Builders turn customer problems into working software. You combine engineering ability, product thinking, and design judgment, using AI throughout discovery, implementation, and delivery. You can take an ambiguous opportunity, build something useful, and stay with it through production and real-world usage.

You work with AI daily and continually push its capabilities. You improve your own harnesses, build experiments, and recognize when a new capability makes a better product possible. The work can span payments, consumer applications, enterprise products, platforms, and experiences for both people and software agents.

You work on a small team accountable for a business outcome. A Lead Builder, or a Senior or Principal Builder assigned to the team, sets the direction on what to build and why. You own how your part gets built.

Remote, United States

VP, Product Delivery

• A record of building and shipping software that real users depend on. Engineering, product, design, and founder backgrounds are welcome; evidence of delivery matters most.
• Technical fluency sufficient to implement, debug, and operate production software, with depth in at least one discipline such as engineering, product, design, or data.
• AI as a daily working method. You have used coding agents and other AI tools on shipped work, improved your own setup, and can demonstrate how they change what you accomplish.
• Regular experimentation with new AI capabilities, backed by working projects and a clear view of what those capabilities can and cannot do.
• Product sense, design judgment, and data fluency. You understand customer needs, scope useful solutions, and assess whether they worked.
• Strong verification habits and clear communication. You can identify plausible but incorrect output, explain trade-offs, and involve specialists when needed.

• Comfort working directly in customer and partner environments, including forward-deployment settings.
• Ability to balance speed, maintainability, security, privacy, and applicable compliance requirements in production work.

• Understand problems directly from customers and users. Shape a solution, define the intended outcome, and build the smallest useful version that tests your thinking.
• Write and ship production code across interfaces, APIs, integrations, data, and agent workflows. Make practical product and experience decisions as you build.
• Use AI agents throughout research, design, implementation, testing, and debugging. Develop reusable skills, tools, and context that improve how you deliver.
• Experiment regularly with new models and capabilities. Turn the ones that work into product features and share what you learn.
• Judge where a product creates lasting value, whether through domain context, integrations, execution, experience, or feedback. Choose models, code, or existing tools to fit the problem.
• Own tests, observability, failure…