[Hiring] Senior Staff Product Manager - Splunk AI Foundations @Cisco

Role Description

Splunk is looking for a Principal Product Manager to join our AI Foundations Team! We are building the core models and tools that power our entire product portfolio for global customers. In this role, you will help define the roadmap for high-scale AI, focusing on domain-specific models, agentic protocols, and orchestration platforms.

Meet the Team:

The Splunk AI Foundations team is a high-impact group dedicated to delivering Gen AI and ML-based solutions that enhance Cisco and Splunk products. We function as the core engine for AI innovation, enabling builders to deploy AI at scale while maintaining rigorous security, governance, and observability. Our team is a diverse group of experts and engineers who thrive in a fast-paced, collaborative, and innovation-driven environment. We are excited to be at the forefront of AI-native digital resilience, solving complex challenges that bridge the gap between raw data and intelligent, agentic workflows. Our work is essential to the larger vision of powering the future of secure, automated infrastructure.

Your Impact:

• Serve as the architect of the "AI Development Factory," a unified platform that empowers builders to ingest data, curate training sets, and deploy enterprise-grade AI models.
• Define the strategic roadmap for end-to-end AI/ML lifecycles, ensuring our tools provide seamless, secure, and performant model development.
• Drive the integration of robust governance and guardrails to control model behavior and ensure compliance with security policies.
• Build and scale platform observability layers to allow users to trace performance and debug complex multi-step workflows.
• Measure success by bridging the gap between raw data lakes and production-grade AI, ultimately shipping a world-class platform to our global customers.

Qualifications

• Bachelor’s degree plus 12 years of related experience, or Master’s degree plus 8 years, or PhD plus 5 years in Product Management with a focus on AI/ML platform products.
• Demonstrated experience in the AI/ML lifecycle, including model fine-tuning (SFT/RLHF), orchestration architectures, and data ingestion pipelines (ETL/ELT).
• Experience implementing security protocols, compliance frameworks, and guardrails within AI or software development platforms.
• Proven experience in building or managing observability tools, tracing, or monitoring systems for distributed systems or ML models.
• Proficiency in SQL and Python for data analysis and managing large-scale data flows into AI-ready formats.

Requirements

• Advanced degree (Master's or Ph.D.) in a quantitative field or an MBA.
• Hands-on experience with the model and agent development lifecycle (e.g., PyTorch, Hugging Face, LangChain, LlamaIndex).
• Knowledge of MLOps and LLMOps principles within networking or cybersecurity.
• Experience building ecosystems, APIs, or SDKs for enterprise-grade AI platforms.
• Proven ability to drive adoption for builder-centric products and scale AI solutions from concept to market.

Benefits

• Medical, dental and vision insurance.
• 401(k) plan with a Cisco matching contribution.
• Paid parental leave.
• Short and long-term disability coverage.
• Basic life insurance.
• 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees.
• 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco.
• 16 days of paid vacation time per full calendar year for non-exempt employees.
• Flexible vacation time off program for exempt employees.
• 80 hours of sick time off provided on hire date and each January 1st thereafter.
• Optional 10 paid days per full calendar year to volunteer.