AI-Native Product Manager

Summary

Join Abnormal Security's AI Transformation Pods and lead the development of internal AI solutions. As an AI-Native PM, you will identify opportunities for automation and efficiency, define product requirements and roadmaps, and collaborate with cross-functional teams. You will manage the full product lifecycle, measure the impact of deployed solutions, and present findings to leadership. This role requires a blend of product thinking, technical understanding of AI, and entrepreneurial drive, reporting directly to the CEO. You will work closely with functional executives and the CIO to build AI solutions driving meaningful operational change. The ideal candidate possesses strong AI/ML expertise and experience leading cross-functional teams.

Requirements

• Technical degree (Computer Science, Engineering, Mathematics, Physics, etc.)
• Coursework in AI/ML, product development, or entrepreneurship
• Product management experience with demonstrable AI product expertise
• Prior work experience in Software Engineering
• Strong understanding of LLMs, agents, and modern AI capabilities
• Experience leading cross-functional teams
• Exceptional stakeholder management skills at the executive level
• Ability to translate complex operational problems into AI-powered solutions
• Track record of measuring and communicating business impact to stakeholders
• Comfort presenting to and engaging with C-suite executives and board members
• Proficient in at least one programming language (Python preferred)
• Experience with AI tools (Cursor, v0, Claude Code, etc.)
• GitHub profile or portfolio showing self-initiated projects

Responsibilities

• Lead a dedicated AI transformation pod (1 AI-Native PM + 2 Engineers)
• Identify high-impact opportunities for AI transformation
• Define product requirements and roadmaps for AI solutions
• Collaborate with business analysts to validate problem statements
• Manage the full product lifecycle from conception to deployment
• Measure and report on impact of deployed solutions
• Present to leadership and potential users
• Coordinate with AI Platform team on infrastructure needs

Preferred Qualifications

• Prior work experience at an enterprise software company is nice to have
• Internships at tech companies (especially startups)
• Research assistant positions in AI/ML labs
• Hackathon participation and awards
• Product-focused roles or projects
• Open source contributions

Benefits

• Bonus
• Restricted stock units (RSUs)