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.
- 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
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At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Top Skills
What We Do
The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow.
Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.
