Senior Engineering Manager, AI (FULLY REMOTE)

Splunk; Virginia (MN); Remote; USD 130,000 - 180,000; Full time

Job summary

A leading company is seeking a Senior Engineering Manager, AI to lead the development of core AI/ML capabilities. This fully remote role involves collaborating with cross-functional teams and mentoring junior members while driving the scientific roadmap for AI/ML technology integration across the product portfolio.

Qualifications

• Proven track record in AI/ML technology and deep learning.
• Experience managing machine learning teams and developing large-scale models.

Responsibilities

• Develop long-term strategy for AI/ML integration across products.
• Lead development of AI/ML models for cybersecurity and observability.
• Provide mentorship and technical guidance to team members.

Skills

AI/ML Technology

Deep Learning

Natural Language Processing

Time Series Modeling

Unsupervised Learning

Generative AI

Large Language Models

Job description

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Role

As the Senior Engineering Manager, AI in the Artificial Intelligence group, you will be responsible for leading the development of the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the scientific roadmap of the area.

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.

Note: The description contains some irrelevant or repetitive content, which has been omitted for clarity. The core responsibilities and requirements are preserved to meet the minimum necessary criteria for the job description.