TLM, Embedded Experiences
Core
Leading a team of engineers to build AI-native embedded experiences and operations-forward systems using large language models for devices and edge operations.
Role type
Technical Lead Manager (Engineering)
Builds
Production systems leveraging large language models and AI technologies for embedded devices and edge operations.
Domain
Artificial Intelligence / Embedded Systems / Edge Computing
Deliverable
production ML models | product features | infrastructure
Required skills
Systems design, software engineering fundamentals, technical architecture, team leadership, stakeholder management, AI/LLM application, cross-functional project delivery
Preferred skills
Experience leading engineering projects involving consumer devices and/or embedded systems, ability to move between architecture discussions and coding, comfort with ambiguous fast-moving environments
Technologies
Large language models, AI technologies
Responsibilities
Lead technical direction, architecture, and execution of critical Cooperative Systems initiatives; Manage and mentor a team of engineers while maintaining meaningful hands-on technical involvement; Partner with stakeholders across Support, Operations, Finance, IT, Sales, Legal to identify opportunities for AI-driven improvements; Design and build production systems that leverage large language models and other AI technologies; Drive engineering excellence through strong technical decision-making, code quality, operational rigor, and thoughtful system design; Balance rapid experimentation with long-term platform investments; Establish technical roadmaps and execution plans for projects spanning multiple teams; Coach engineers through technical challenges, career growth, and project execution; Help shape the culture, processes, and engineering practices of a growing organization.
Seniority
Manager, hands-on technical leadership with team management
