Senior Staff Product Manager, Purple AI

SentinelOne

2d•$184,000 - $253,000•Remote

About The Position

SentinelOne is seeking an AI-native product manager to join its Purple AI team. This role will lead the vision and execution for next-generation agentic security features. Purple AI is designed to help modern SOC teams detect earlier, respond faster, and stay ahead of attackers. SentinelOne is embedding this technology platform-wide to automate security operations while ensuring human analysts remain in control and accountable. The product manager will own the roadmap for new agentic capabilities and drive the evolution of the conversational experience, continuously redefining AI in cybersecurity. This is a high-visibility, strategic role with direct exposure to executive leadership and close collaboration across engineering, sales, marketing, and pricing strategy.

Requirements

8+ years in enterprise product management; cybersecurity product experience preferred
5+ years building AI/ML products
3+ years launching 0-to-1 enterprise software products
Bachelor's or advanced degree in computer science, data science, or related field (or equivalent experience)
Strong technical grasp of AI/ML technologies, including generative and agentic AI, natural language processing (NLP), and retrieval-augmented generation (RAG)
Exceptional skill navigating ambiguity, framing trade-offs, and making decisions that balance technical complexity, user experience, and business value
Ownership mentality: proven accountability, persistence, and a results-driven mindset
Clear, efficient, and persuasive communication—written and verbal—across audiences from engineers to executives
Hands-on experience using AI tools to accelerate the full PM workflow, improving both the speed and quality of decision-making

Responsibilities

Define and champion the strategy and vision for Purple AI—the industry's first GenAI security analyst—along with new AI features driving SentinelOne's next phase of growth
Own the full product lifecycle, from ideation through launch and iteration, to deliver measurable customer and business impact
Synthesize quantitative and qualitative inputs—product metrics, user research, and market analysis—to shape the roadmap and build customer-centric solutions
Make robust decisions amid incomplete, conflicting, or ambiguous information, managing risk and rallying cross-functional teams around a shared path forward
Refine online and offline evaluation metrics to track with customer-perceived quality and value, and drive our data-sourcing strategy to continuously improve model and pipeline performance
Partner with marketing, sales, and documentation to craft a compelling product narrative that drives adoption of our AI products