About the Role
Abnormal AI is revolutionizing both cybersecurity and internal operations through advanced AI solutions. As we scale, we're establishing AI Transformation Pods to drive operational efficiency across our organization. These pods are critical to the company's overall AI strategy, offering unique visibility with the CEO and executive leadership
The AI-Native PM leads the development of internal AI solutions, identifying opportunities for automation and efficiency across Abnormal Security. This role requires a blend of product thinking, technical understanding of AI capabilities, and entrepreneurial drive. You'll work closely with functional executives to identify high-value opportunities and build AI solutions that drive meaningful operational change.
What you will do
- 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.
Must Haves
Technical degree (Computer Science, Engineering, Mathematics, Physics, etc.)Coursework in AI / ML, product development, or entrepreneurshipProduct management experience with demonstrable AI product expertisePrior work experience in Software EngineeringStrong understanding of LLMs, agents, and modern AI capabilitiesExperience leading cross-functional teamsExceptional stakeholder management skills at the executive levelAbility to translate complex operational problems into AI-powered solutionsTrack record of measuring and communicating business impact to stakeholdersComfort presenting to and engaging with C-suite executives and board membersProficient in at least one programming language (Python preferred)Experience with AI tools (Cursor, v0, Claude Code, etc.)GitHub profile or portfolio showing self-initiated projectsNice to Have
Prior work experience at an enterprise software company is nice to haveInternships at tech companies (especially startups)Research assistant positions in AI / ML labsHackathon participation and awardsProduct-focused roles or projectsOpen source contributions#LI-ML1
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