Senior Engineering Manager, AI

The application window is expected to close on: 07/31/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received .

Splunk, a Cisco company, is building a safer, more resilient digital world with an end-to-end, full-stack platform designed for hybrid, multi- cloud environments. Join the AI Models team at Splunk, where we advance the state of AI for high-volume, real-time, multi-modal machine-generated data - including logs, time series, traces, and events.

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience - designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale.

You'll be part of a culture that values technical excellence, impact-driven innovation, and cross-functional collaboration - all within a flexible, growth-oriented environment.

As a Senior Engineering Manager, AI , you will lead a high-performing team building advanced AI capabilities for code generation and developer productivity. You will help define the technical strategy, guide execution from research to production, and partner closely with product, platform, and engineering leaders to deliver scalable, reliable AI-powered experiences.

This role is ideal for a leader with strong engineering management experience and deep technical fluency in machine learning systems, large language models, and production AI platforms as you will:

- Lead and develop a team of engineers and AI practitioners building intelligent code generation systems and related platform capabilities.

- Define and execute the technical roadmap for AI initiatives focused on code generation, agentic workflows, and developer tooling.

- Partner with cross-functional teams across engineering, product, and platform to bring AI innovations into production.

- Drive the design, development, evaluation, deployment, and operation of production-grade AI/ML systems.

- Establish best practices for experimentation, benchmarking, model evaluation, observability, reliability, and continuous improvement.

- Guide architectural decisions for distributed training, inference, tool integration, and scalable model-serving systems.

- Balance innovation with operational excellence, ensuring solutions meet high standards for performance, quality, cost efficiency, and maintainability.

- Hire, mentor, and grow technical talent while fostering an inclusive, high-accountability engineering culture.

- Influence long-term AI strategy and investment decisions across the broader organization.

- 8+ years of experience in software engineering, with at least 3 years in a leadership or management role.

- 5+ years of experience designing, developing, and deploying production-grade AI/ML systems.

- 3+ years of experience building and managing distributed training and scalable model-serving systems.

- 3+ years of experience establishing frameworks for model evaluation, benchmarking, and observability.

- 2+ years of experience leading technical teams in the development of software engineering or AI platforms.

- Proven track record of leading and mentoring high-performing engineering and AI teams.

- Deep expertise in designing, deploying, and operating production-grade AI/ML systems at scale.

- Strong background in defining technical roadmaps for complex AI initiatives, such as code generation or agentic workflows.

- Demonstrated ability to collaborate cross-functionally to drive AI innovations from concept to production.

- Exceptional strategic leadership skills with a focus on establishing best practices for model evaluation, reliability, and architectural excellence.

The starting salary range posted for this position is $234,400.00 to $296,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.