Senior Engineering Manager, AI (Artificial Intelligence)-FULLY REMOTE

Splunk - Boulder, CO

Full-time - Senior

Remote - Boulder, CO

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Senior Engineering Manager, AI will lead the development of core AI/ML capabilities at Splunk, focusing on enhancing the product portfolio to support customers in achieving digital resiliency. This role involves collaboration with cross-functional teams, mentoring junior members, and driving the scientific roadmap for AI initiatives.

Responsibilities

• Develop a long-term strategy and roadmap for integrating AI/ML technology across our product portfolio.
• Lead the development of core AI/ML models and algorithms that drive our product's key use cases in the cybersecurity and observability domains.
• Partner with Product Leads to build a strategic product vision coupled with a flexible science/engineering plan, supporting learning through iteration.
• Stay up to date with the latest research and developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.
• Provide technical guidance and mentorship to team members to ensure the development of their skills.
• Develop structures to hold the team accountable for progress, for learning, for communicating, and meeting business objectives.

Requirements

• In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
• In-depth knowledge and proven track record in Generative AI technology and Large Language Models (LLM).
• Experience with leading and managing machine learning teams of applied scientists and engineers.
• Experience with developing large-scale, complex models and deploying them in production systems.
• Experience with setting and executing innovation strategies at both technical and organizational levels to drive business objectives.
• Familiarity with architectural patterns of large, high-scale applications.
• Experience in the Cybersecurity and/or Observability industry is preferred.
• Experience with leading and executing complex AI products within cross-functional teams.