UATX

UATX

Director of Innovation

Austin, Texas · Director

Sponsorship not specifiedDetected 5 days ago
RoboticsLeadershipMentoring

About the role

  • The role spans the full range of Innovation Labs' efforts: the on-campus AI/Robotics/Prototyping Lab, work at the Applied Engineering Lab in Bastrop, Polaris, academic programs, major projects, partnerships, fundraising, and future labs and facilities.
  • The Innovation Director is also the hands-on technical leader for student inventors and founders.
  • the on-campus AI/Robotics/Prototyping Lab, work at the Applied Engineering Lab in Bastrop, Polaris, academic programs, major projects, partnerships, fundraising, and future labs and facilities.

Responsibilities

  • Help develop, carry out plans, and expand the Innovation Lab's capabilities for new programs, partnerships, facilities, courses, and major projects.
  • Maintain a clear view of work across Innovation Labs, including the on-campus AI/Robotics/Prototyping Lab, the Applied Engineering Lab in Bastrop, future sites, Polaris and our other academic innovation programs, UATX's Capital Factory partnership, fundraising, AI-related projects, and external collaborations.
  • Serve as a technical liaison to student builders across disciplines. Meet and build with students, writing code, vibe coding with AI, designing systems, prototyping hardware, and iterating toward working systems
  • Lead workshops, build sessions (robotics, prototyping methods, rapid software/hardware iteration, "vibe coding," etc.), and occasionally classes
  • Collaborate with the Executive Director to expand the lab's capability over time (tools, processes, partnerships, project pathways)
  • thrives in early-stage institution-building

Requirements

  • Strong systems thinking + ability to get into details when needed
  • Startup experience required
  • Demonstrated execution leadership in complex environments (education + tech/hardware ecosystems is a plus)

This listing is sourced directly from UATX's careers page and normalized into a canonical job model.