Offer summary

Qualifications:

In-depth knowledge of AI/ML technology, including deep learning and natural language processing., Proven track record in Generative AI technology and Large Language Models (LLM)., Experience in leading machine learning teams and developing large-scale models., Familiarity with architectural patterns of high-scale applications, preferably in Cybersecurity or Observability..

Key responsibilities:

Develop a long-term strategy for integrating AI/ML technology across the product portfolio.

Lead the development of core AI/ML models for key use cases in cybersecurity and observability.

Collaborate with Product Leads to create a strategic product vision and flexible engineering plan.

Provide mentorship and technical guidance to team members while ensuring accountability for progress.

Job description

Description

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!

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:

The responsibilities of this role include:

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:

Knowledge, Skills, and Abilities:

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.

Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Thank you for your interest in Splunk!

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