Director of AI Engineering, Internal Products
- Company
- Via
- Location
- New York, NY
- Work type
- Full Time
- Posted
- 2026-10-16
Job description
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.
About the Role:
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
About You:
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