AI Transformation Product Manager
Abnormal AI
Job Overview
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Job 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 Transformation Product Manager 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.
Key skills/competency
- AI Strategy
- Product Management
- Operational Efficiency
- Stakeholder Management
- Cross-functional Leadership
- AI Solution Development
- LLMs & Agents
- Software Engineering
- Business Impact Measurement
- Executive Communication
How to Get Hired at Abnormal AI
- Research Abnormal AI's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Showcase AI product expertise: Highlight experience with LLMs, agents, and AI development tools in your resume and portfolio.
- Quantify business impact: Provide concrete examples of how your solutions drove operational efficiency and measurable business results.
- Demonstrate executive communication: Prepare to discuss stakeholder management and experience presenting AI initiatives to leadership.
- Emphasize full product lifecycle management: Illustrate your ability to guide AI solutions from conception through deployment and impact measurement.
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