Senior Staff Product Manager - Splunk Ai Foundations

Cisco UK

Base: $176,100.00 to $250,400.00 (varies by locati...
Not specified (assumed hybrid based on industry norms)
Ai/ml platform product management experience
Deep understanding of llms and deep learning architectures
Experience with vector dbs and agentic workflows
Cisco is seeking a Senior Staff Product Manager for its Splunk AI Foundations team to lead the development of AI-driven solutions that enhance Cisco and Splunk's product offerings. The role involves defining the roadmap for AI foundational models and tools that facilitate autonomous operations while ensuring responsible AI practices. The position requires significant experience in product management, particularly with AI/ML technologies

Job Summary

  • This role serves as the architect of the 'AI Engine Room' powering Splunk and Cisco's joint vision for AI-native digital resilience.
  • The successful candidate will lead the roadmap for AI foundational elements including tools, frameworks, APIs, and SDKs used by internal teams and external customers.
  • Employees are eligible for competitive compensation including base salary, incentive compensation, equity grants, and comprehensive benefits like paid parental leave and flexible vacation time.

Matching Summary

Match Score: 85

Cisco is seeking a Senior Staff Product Manager for its Splunk AI Foundations team to lead the development of AI-driven solutions that enhance Cisco and Splunk's product offerings. The role involves defining the roadmap for AI foundational models and tools that facilitate autonomous operations while ensuring responsible AI practices. The position requires significant experience in product management, particularly with AI/ML technologies.

Salary

Base: $176,100.00 to $250,400.00 (varies by location); Bonus/Equity: Incentive compensation and restricted stock units available; Benefits: Medical, dental, vision, 401(k) matching, paid time off, and volunteer days

Skills & Requirements

Must-have

  • AI/ML platform product management experience
  • Deep understanding of LLMs and Deep Learning architectures
  • Experience with Vector DBs and Agentic Workflows
  • Proficiency in SQL and Python for data analysis
  • Knowledge of MLOps principles in networking or cybersecurity

Nice-to-have

  • Hands-on experience with end-to-end model development lifecycle
  • Experience building AI ecosystems with hyperscalers
  • Advanced degree in quantitative field or MBA
  • Proven ability to drive adoption for developer-centric products

Key Requirements

  • Bachelor's degree plus 12 years of related experience
  • Masters degree plus 8 years of related experience
  • PhD plus 5 years of related experience
  • Equivalent related work experience in Product Management

Work Rights

Not specified

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