Director of Engineering, SaaS

At Xplor, we believe that helping people make the most of each day is the most rewarding way to spend ours. We give small and medium-sized businesses cloud-based, intuitive technology solutions that enable them to manage all the hassles of running and growing a business, so business owners can get back to doing what they love. With Xplor Pay, we help businesses get paid quickly and securely – without hidden fees. We built the tech ourselves, and our platform delivers secure, transparent, fast, and accurate payments. We are unified by our purpose of helping people to succeed. So, when you become part of our team, you also become part of the personal connection that strengthens the relationship people have with Xplor products. As the Director of Engineering for Xplor’s Laundry SaaS business unit, you will be responsible for the delivery, quality and scalability of the software platforms serving the North American laundry and dry-cleaning market. In this role, you will lead engineering teams focused on new product development, platform reliability and technical debt reduction. You will also be responsible for the release and support engineering function with the goal of continual improvement in the customer experience. Location:  Salt Lake City or Mountain Time Zone Key Areas of Responsibility Delivery & Technical Performance Deliver the product roadmap on schedule by improving existing development processes and building new ones that increase throughput and predictability Raise platform reliability and performance through disciplined engineering practices — uptime, latency, incident reduction and faster mean time to recovery In addition to supporting SaaS product delivery, build and maintain the integrated payments capabilities, ensuring secure, compliant and highly available transaction processing Own release management, QA and support engineering for Laundry SaaS solutions, reducing defect escape rates and improving customer satisfaction Partner with Product to shape roadmap priorities and technical trade-offs necessary to deliver commercial targets while maximizing customer satisfaction Continuously improve engineering efficiency by driving higher developer productivity through AI-assisted development practices, optimizing cloud infrastructure cost per customer, and accelerating software delivery. Report on engineering performance with clear KPIs, velocity, release frequency, uptime, defect rates and cloud spend, to hold the plan accountable to targets Strategy & Vision Shape the technical vision, AI strategy and architecture roadmap for Laundry SaaS in North America, collaborating closely with Product and Security leaders to identify platform investments, AI opportunities, technical differentiation and the modernization roadmap that supports them. Own the engineering plan and budget for Laundry SaaS (working collectively with Finance). This includes annual headcount and vendor planning, cloud cost management and in-year quarterly reforecasting of delivery commitments. • Define and execute the AI engineering strategy, identifying opportunities to leverage Generative AI and intelligent automation to improve customer experience, engineering productivity, and product innovation. Collaboration & Leadership Build strong working relationships across Product, Support and Customer Success so the engineering plan is aligned to and accountable for in-year commercial targets Act as the technical voice for Laundry SaaS — rally internal stakeholders and outsourced development partners around delivery priorities and deliver against plans Coach engineering managers and senior engineers, building upon each one's strengths and providing support to address their development areas — lead by example Have a bias to action (“Move with Purpose” Principle) — being data driven but also knowing when to move Be a culture champion, intentionally bring our “Create Lasting Communities” value to life, both in how we build for customers and in making Xplor a fun place to work in a hybrid environment • Build an AI-first engineering culture by driving adoption of AI-assisted development practices, coaching teams on emerging AI capabilities, and establishing repeatable engineering standards. Ability to work in a hybrid model and willing to spend time in the Draper, Utah office to build a strong SaaS engineering culture 5+ years of experience leading engineering teams at a B2B SaaS technology company, including managers Experience building multi-tenant SaaS products in laundry, field services or an adjacent SMB vertical Proven record of accomplishment in shipping SaaS releases predictably at a sustained cadence Proven record of improving platform uptime, performance and defect rates in a production SaaS environment Proven record of improving engineering efficiency — higher developer productivity, lower cloud cost and reduced technical debt Experience running SaaS software development, QA and DevOps functions end to end Experience scaling SaaS architecture and the agile operating cadence behind it Strong track-record of hiring and developing engineering talent and managing outsourced or vendor partners Demonstrated experience in building customer centric software grounded in SaaS user feedback and telemetry Hands-on technical leader and a strong strategic thinker, comfortable in a modern cloud SaaS stack Experience implementing AI-assisted software development practices using modern AI coding assistants and Generative AI technologies to improve engineering productivity, software quality, and delivery predictability. Knowledge of Large Language Models (LLMs), AI agents, prompt engineering, and AI-enabled software development workflows, with the ability to identify practical business applications. Values and Life at Xplor Our five core values guide us from how we hire and recognise our team members to how we interact with our customers day to day: Find a better way Do the right t