Abnormal AI is revolutionizing cybersecurity and internal operations through advanced AI solutions. The AI Transformation Product Manager will lead the development of internal AI solutions, collaborating with executives to identify opportunities for automation and drive operational efficiency across the organization.
Responsibilities:
- Own a dedicated “AI transformation pod”, partnering with a specific go-to-market function
- Identify high-impact opportunities for AI transformation
- Collaborate with go-to-market stakeholders and business leaders to validate AI Transformation ideas
- Define product requirements and roadmaps for AI-native solutions
- Leverage AI-enabled developer tools (Cursor, Claude Code, etc) to rapidly develop and iterate on solutions for users across Abnormal
- Manage the full product lifecycle from conception to deployment
- Measure and report on impact of deployed solutions
- Present pod updates to executive leadership and evangelize new initiatives directly to potential users
- Identify and scope high leverage opportunities for the AI Platform Engineering team to build reusable infrastructure that can benefit the AI Transformation pods
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
- 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