Principal Product Manager - Splunk Ai Foundations

Splunk

New York City Metro Area, US
$176,100.00 - $323,600.00; not specified; medical,...
On-site
Ai/ml platform products
Ai/ml architectures
Vector dbs and agentic workflows
Splunk is seeking a Principal Product Manager for its AI Foundations Team to lead the development and productization of AI models and orchestration tools that enhance their product portfolio. The ideal candidate will have extensive experience in product management, a solid understanding of AI/ML technologies, and strong leadership skills to drive AI solutions from concept to market

Job Summary

  • As a Principal Product Manager for the Splunk AI Foundations Team, you will be the architect of the "AI Engine Room" that powers the future of Splunk and Cisco’s joint vision for AI-native digital resilience.
  • You will lead the productization of domain-specific foundation models (such as the Cisco Time Series Model) and build agentic workflow frameworks to enable autonomous agents.
  • Partner with Product Marketing and Sales to package these foundational capabilities for external customers, including pricing, positioning, and developer documentation.

Matching Summary

Match Score: 85

Splunk is seeking a Principal Product Manager for its AI Foundations Team to lead the development and productization of AI models and orchestration tools that enhance their product portfolio. The ideal candidate will have extensive experience in product management, a solid understanding of AI/ML technologies, and strong leadership skills to drive AI solutions from concept to market.

Salary

$176,100.00 - $323,600.00; Not specified; Medical, dental and vision insurance, 401(k) plan, paid parental leave, disability coverage, life insurance, restricted stock units, paid time away

Skills & Requirements

Must-have

  • AI/ML platform products
  • AI/ML architectures
  • Vector DBs and Agentic Workflows
  • SQL and Python for data analysis
  • Large-scale data pipelines
  • Drive adoption for developer-centric products

Nice-to-have

  • MLOps principles
  • AI ecosystems or partnerships
  • End-to-end model development lifecycle

Key Requirements

  • Bachelors + 12 years experience or Masters + 8 years or PhD + 5 years
  • Product Management experience
  • Technical Depth in AI/ML
  • Data Skills in SQL and Python
  • Growth Mindset
  • Collaborative Leadership
  • Communication Skills
  • Bachelor’s degree in AI related technical field

Work Rights

Not specified

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