Senior Staff Product Manager, Splunk AI Foundations

What you'll do

• Own the roadmap for the model substrate, including model families, tokenization for machine data, and fine-tuning APIs.
• Oversee the shipping of foundation models optimized for machine data tasks like forecasting and anomaly detection.
• Define and manage model quality through golden datasets, offline benchmarks, and human review processes.
• Standardize AI skills across products using common agentic protocols and universal connectors.
• Create frameworks for planning loops, tool schemas, and guardrails to enable autonomous agentic workflows.
• Manage Responsible AI governance, including red-teaming, data provenance, and inference unit economics.
• Partner with marketing and sales to package foundational capabilities for external customers and developer ecosystems.
• Engage with customers to uncover unarticulated needs and ensure success during early model checkpoints.

What we're looking for

• Bachelor’s degree plus 12 years of related experience in Product Management with a focus on AI/ML platform products.
• Master’s degree plus 8 years of related experience in Product Management with a focus on AI/ML platform products.
• PhD plus 5 years of related experience in Product Management with a focus on AI/ML platform products.
• 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.
• Experience 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.
• Advanced degree (Master's or Ph.D.) in a quantitative field or an MBA (preferred).