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

Senior Manager Developer Tools

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.

Build, lead, and develop a high-performing engineering organization, hiring and growing engineers and technical leaders while establishing a culture of ownership, technical excellence, collaboration, and customer focus.

Create clarity from ambiguity by identifying high-value problems, defining engineering priorities, making informed tradeoffs with incomplete information, and translating broad opportunities in AI and developer productivity into actionable strategies and roadmaps.

Define and drive the engineering strategy for AI-powered developer tools, platforms, and intelligent software development workflows, balancing near-term delivery with longer-term platform investments.

Partner across product management, AI/ML, data science, platform engineering, and OCI service teams to establish shared priorities, influence technical direction, and drive complex initiatives across organizational boundaries.

Provide strong technical leadership across distributed systems, cloud-native architectures, AI/LLM integration, developer platforms, data and evaluation systems, ensuring architectural decisions support scale, extensibility, security, and operational excellence.

Establish mechanisms for rapid experimentation and learning, enabling teams to evaluate emerging AI technologies, validate hypotheses with developers, and make data-driven decisions about where to invest.

Drive predictable execution across multiple concurrent initiatives, proactively identifying dependencies and risks, removing organizational and technical blockers, and holding teams accountable for measurable outcomes.

Define success metrics for AI-powered developer experiences, including developer adoption, quality, productivity impact, reliability, latency, and cost efficiency, and use those signals to continuously refine strategy and priorities.

Develop senior engineers and emerging leaders through coaching, delegation, technical sponsorship, and clear expectations, increasing the organization's ability to operate independently and at scale.

Represent the organization in architecture reviews, planning discussions, and leadership forums, communicating complex technical and organizational topics clearly and influencing decisions beyond the immediate team.

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