Director of AI Engineering, Internal Products

Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.

As the Director of AI Engineering, Internal Products at Via, you'll lead an engineering team that builds high-impact internal products using AI-native development practices, while pioneering a platform that enables people across the company to create their own software with AI agents. We call these empowered employees “nano engineers.” This is an opportunity to shape a new engineering discipline, solve problems across the business, and multiply our capacity to innovate.

• Build products that make our business run better, from internal systems supporting Finance, HR, Ops, Sales and Marketing to tools that help field teams coordinate work, surface operational insights, resolve exceptions, manage resources, and make better decisions in real time
• Work closely with the people doing the work, understand their needs firsthand, and turn those insights into products that deliver measurable business impact
• Rethink software development in the age of AI, using coding agents, AI-assisted development, automated testing, and new engineering workflows to accelerate the journey from identifying a problem to delivering a solution
• Lead the development of our AI-powered internal development platform, building the integrations, permissions, infrastructure, testing, deployment, and governance needed to make employee-created software reliable and useful
• Recruit, develop, and lead exceptional engineers, and define the architecture, engineering standards, operating model, and culture that will allow the team to scale its impact
• Partner with leadership across the company to identify the highest-impact opportunities for software and AI, and challenge conventional assumptions about what to build versus buy

• An exceptional engineering leader with a strong technical foundation and experience building and shipping production software; you’ve led engineers, made sound architectural decisions, and delivered systems that people depend on
• An AI-native builder who actively explores and uses modern AI coding tools and agents, and is excited to rethink how an engineering team should operate
• A pragmatic systems thinker who understands security, permissions, integrations, observability, testing, and maintainability, and knows how to apply the right level of rigor to each use case
• A product thinker who cares about the problem being solved, not just the technology, and can turn ambiguous needs into useful products
• Comfortable with ambiguity; you’re happy to move between strategy, architecture, hands-on building, and working directly with business teams
• An organizational multiplier, excited about enabling other people to solve problems independently