Senior Customer Architect

Restaurant365 is the leading all-in-one restaurant management platform, helping thousands of restaurant operators run and grow their businesses through a single, integrated cloud solution. Purpose-built for the restaurant industry, our platform combines accounting, inventory, purchasing, workforce management, payroll, scheduling, operations, and business intelligence—empowering restaurant operators to improve profitability and operate more efficiently.

Trusted by some of North America's largest restaurant brands as well as thousands of independent operators, Restaurant365 is redefining how restaurants operate through technology.

As a Customer Architect, you'll play a critical role in helping customers realize the full value of the Restaurant365 platform. You'll design scalable solutions spanning product configuration, integrations, business processes, and operational workflows, while identifying opportunities to solve meaningful business problems with AI. You'll personally architect and build AI-powered applications, agents, automations, and workflows for both customers and internal Restaurant365 teams.

This is a highly strategic, cross-functional role for someone who enjoys solving difficult problems and building repeatable solutions that improve customer outcomes. You'll be expected to move from problem discovery and solution design to hands-on building and deployment, using modern AI development tools to turn ideas into working solutions. You'll work closely with Customer Success, Product, Engineering, Professional Services, and Support to remove technical and operational barriers while helping shape the future of Enterprise Customer Success at Restaurant365.

• 5+ years of experience in Enterprise SaaS, TAM, Solutions Architecture, or similar customer-facing technical role.

• Demonstrated experience partnering with enterprise customers on complex software deployments, integrations, or business transformation initiatives.

• Strong understanding of SaaS architecture, APIs, integrations, enterprise software ecosystems, and data flows, with the ability to diagnose complex technical and operational challenges and develop scalable solutions.

• Demonstrated experience designing and building AI-powered applications, agents, automations, or workflows, with the ability to translate ambiguous business problems into working solutions.

• Hands-on experience using AI development tools such as Claude Code, Codex, or similar platforms to build applications and solutions.

• Strong working knowledge of APIs, integrations, LLMs, agentic workflows, RAG, MCP, data flows, and modern application architecture, with enough technical depth to independently build and troubleshoot solutions.

• Understanding of how to deploy AI-powered applications responsibly, including security, authentication and permissions, customer data handling, reliability, and ongoing maintainability.

• Excellent communication and stakeholder-management skills, with the ability to explain technical concepts to executive and technical audiences and influence cross-functional teams without direct authority.

• Strong analytical thinking, systems thinking, and structured problem-solving skills, with the ability to prioritize effectively in a fast-paced environment.

• A builder mindset with the curiosity to uncover problems, propose solutions, rapidly prototype ideas, and personally turn those ideas into working capabilities.

PREFERRED QUALIFICATIONS

• Experience supporting enterprise customers in ERP, financial software, payroll, workforce management, restaurant technology, or other operational SaaS platforms.

• Experience working with multi-location or franchise businesses.

• Familiarity with enterprise integrations, APIs, middleware, and data architecture.

• Experience building reusable frameworks, playbooks, or operating models that improve scalability.

• Experience partnering closely with Product and Engineering to influence roadmap priorities and product readiness.

• Consulting experience with firms such as Deloitte, Accenture, Slalom, PwC, or EY, or equivalent enterprise transformation experience.

• Experience deploying AI-powered applications or automations into real-world business environments and driving adoption with end users.