Senior Engineering Manager, AI

Cisco•Washington, DC

16d•$228,400 - $373,700•Remote

About The Position

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.

Requirements

Strong engineering management experience
Deep technical fluency in machine learning systems
Deep technical fluency in large language models
Deep technical fluency in production AI platforms

Responsibilities

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.

Benefits

Medical insurance
Dental insurance
Vision insurance
401(k) plan with a Cisco matching contribution
Paid parental leave
Short-term disability coverage
Long-term disability coverage
Basic life insurance
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday
Paid year-end holiday shutdown
4 paid days off for personal wellness
16 days of paid vacation time per full calendar year (non-exempt employees)
Flexible vacation time off program (exempt employees)
80 hours of sick time off provided on hire date and each January 1st thereafter
Up to 80 hours of unused sick time carried forward from one calendar year to the next
Additional paid time away may be requested to deal with critical or emergency issues for family members
Optional 10 paid days per full calendar year to volunteer
Annual bonuses (non-sales roles)
Performance-based incentive pay (sales roles)
Cisco restricted stock units