AI-Native Product Manager

USD 179,400-247,200 per year
SENIOR
✅ Remote

Tech Stack

AI @ 4 Agentic AI @ 4 Communication @ 6 Data Science @ 7 GenAI Generative AI @ 7 Machine Learning Marketing NLP @ 7 Product Management @ 7 RAG @ 7 Security

Details

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

This is a high-visibility, strategic role involving 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 growth.
  • Own the full product lifecycle from ideation through launch and iteration.
  • Deliver measurable customer and business impact.
  • Synthesize product metrics, user research, and market analysis to shape the roadmap and build customer-centric solutions.
  • Make decisions amid incomplete, conflicting, or ambiguous information, managing risk and aligning cross-functional teams.
  • 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 create a compelling product narrative and drive 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 understanding of AI/ML technologies, including generative AI, agentic AI, natural language processing (NLP), and retrieval-augmented generation (RAG).
  • Ability to navigate ambiguity, frame trade-offs, and balance 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 product management workflow and improve decision-making speed and quality.

Benefits

  • Restricted Stock Units (RSUs)
  • Employee Stock Purchase Plan (ESPP)
  • Flexible time off, paid company holidays, and 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 prepaid legal services
  • Nationwide pet insurance
  • Cancer Care program
  • Global business travel medical insurance
  • Home office allowance
  • Mobile phone reimbursement
  • Wellness coach and wellness/gym reimbursement
  • Fertility coverage
  • Adoption and surrogacy reimbursement

Compensation

The U.S. base salary range is $179,400–$247,250 USD. The pay range may vary based on the candidate's location, and a different range may apply in some locations.

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