Senior Manager, Platform Software Engineering, AI Acceleration, Developer Tools

Ll Oefentherapie; Nashville (TN); On-site; USD 150,000 - 190,000; Full time

Job summary

Ll Oefentherapie in Nashville seeks a Senior Manager to lead Developer Tools engineering in a rapidly evolving AI/LLM landscape. You will drive strategy, roadmaps, and broad adoption across engineering and OCI service groups.

Join to build a high-performing team, align with product, data science, and AI/ML functions, and guide ideas from exploration to production while maintaining security and reliability standards.

Responsibilities

• Lead in highly ambiguous environments and turn opportunities into strategy and roadmap.
• Build and develop a high-performing engineering team and set clear priorities.
• Collaborate with senior engineers, PMs, data scientists, AI/ML teams, and OCI groups to drive adoption from exploration to production.
• Balance experimentation with disciplined execution, ensuring security, reliability and operational excellence.

Job description

The Developer Tools space is evolving rapidly as advances in large language models (LLMs), AI agents, and intelligent automation create new possibilities for how software is designed, built, tested, deployed, and operated. Many of the most valuable problems in this space do not yet have established solutions, architectures, or even clearly defined requirements. Success in this role therefore requires a leader who is comfortable operating in highly ambiguous environments, can identify the right problems to solve, and can turn emerging technologies and loosely defined opportunities into a clear engineering strategy and executable roadmap.

As a Senior Manager, you will provide both organizational and technical leadership. You will build and develop a high-performing engineering team, establish priorities and operating mechanisms, and create clarity where requirements and technical approaches are still evolving. You will work closely with senior engineers, product managers, data scientists, AI/ML teams, and OCI service organizations to identify high-impact opportunities and take them from early exploration through architecture, production deployment, and broad adoption.

You will be expected to balance experimentation with disciplined execution—enabling teams to move quickly in a rapidly changing AI landscape while maintaining the engineering rigor, security, reliability, and operational excellence expected of OCI services.