AI-Native Product Manager

Details

SentinelOne is seeking an AI-native product manager to join the Purple AI team and lead the vision and execution of next-generation agentic security features. Purple AI helps modern security operations center teams detect earlier, respond faster, and stay ahead of attackers. The role owns the roadmap for new agentic capabilities and the evolution of SentinelOne's conversational AI experience.

This is a high-visibility, strategic position with direct exposure to executive leadership and close collaboration across engineering, sales, marketing, and pricing strategy.

Responsibilities

• Define and champion the strategy and vision for Purple AI, described as an industry-first generative AI security analyst, along with new AI features supporting 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, including 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; manage risk; and rally cross-functional teams around a shared path forward.
• Refine online and offline evaluation metrics to track customer-perceived quality and value.
• Drive data-sourcing strategy to continuously improve model and pipeline performance.
• Partner with marketing, sales, and documentation teams to craft a compelling product narrative that drives adoption of AI products.
• Travel up to 15% to customer and SentinelOne locations worldwide.

Requirements

• 8+ years of enterprise product management experience; cybersecurity product experience is 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 a related field, or equivalent experience.
• Strong technical grasp of AI/ML technologies, including generative AI, agentic AI, natural language processing (NLP), and retrieval-augmented generation (RAG).
• Exceptional ability to navigate ambiguity, frame trade-offs, and make decisions balancing technical complexity, user experience, and business value.
• Ownership mentality with demonstrated accountability, persistence, and a results-driven mindset.
• Clear, efficient, and persuasive written and verbal communication across audiences ranging from engineers to executives.
• Hands-on experience using AI tools to accelerate the full product management workflow and improve the speed and quality of decision-making.

Benefits

• Restricted Stock Units (RSUs) and Employee Stock Purchase Plan (ESPP).
• Flexible time off, paid company holidays, paid sick time, gender-neutral parental leave, and grandparent leave.
• Medical, dental, and vision coverage.
• 401(k) retirement plan with company match.
• Life and disability insurance.
• Health and dependent care FSA.
• Voluntary hospital, accident, and critical illness benefits.
• Employee Assistance Program (EAP), ARAG pre-paid legal, nationwide pet insurance, Cancer Care program, and global business travel medical insurance.
• Home office allowance and mobile phone reimbursement.
• Wellness coach, wellness/gym reimbursement, fertility coverage, and adoption and surrogacy reimbursement.

Compensation

The U.S. base salary range is $184,000–$253,000 USD. The pay range may vary based on the candidate's location, and a different range may apply in some locations.