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AB

Abnormal

via Greenhouse

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AI Transformation Product Manager

Anywhere
full-time
Posted 9/19/2025
Direct Apply
Key Skills:
AI product management
Cross-functional team leadership
Stakeholder management
Python programming
AI tools (Cursor, Claude Code)
LLMs and AI capabilities understanding
Executive communication

Compensation

Salary Range

$128K - 150K a year

Responsibilities

Lead AI transformation pods to develop internal AI solutions, collaborate with executives and business leaders, define product roadmaps, manage full product lifecycle, and measure impact.

Requirements

Requires a technical degree in STEM, AI/ML coursework, software engineering experience, strong AI product expertise, programming proficiency, and executive stakeholder management.

Full Description

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 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 Nice to Have 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 #LI-ML1 #LI-ML1 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. Base salary range: $127,500—$150,000 USD 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.

This job posting was last updated on 9/24/2025

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