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

Splunk

Full-time - Senior

Remote

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

About the position

The Senior Engineering Manager, AI at Splunk is responsible for leading the development of core AI/ML capabilities that enhance the entire product portfolio. This role involves collaborating with cross-functional teams, mentoring junior members, and driving the scientific roadmap to support customers in their digital resiliency journey.

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.