AI Product Builder - Abnormal Security

About the Role

Abnormal Security 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 Product Builder owns the development of internal GTM solutions, identifying opportunities for automation and efficiency within a dedicated go-to-market function. This role requires a unique blend of product thinking, user empathy, technical AI understanding, and hands-on execution capability.

You'll translate AI Transformation vision and internal stakeholder feedback into a concrete roadmap, define requirements for AI-native solutions, leverage AI developer tools to rapidly iterate on solutions, and scope horizontal capabilities that can accelerate the development or quality of future AI projects.

What You Will Do

• Own the AI transformation strategy for a specific GTM function, defining a roadmap that delivers measurable operational impact.
• Build and ship AI-powered solutions using LLMs, agent frameworks, and AI coding tools (e.g., Cursor, Claude Code).
• Lead technical design and architecture decisions, creating reusable components that accelerate future AI development.
  Deliver production-grade automations that fundamentally reshape how sales, marketing, or customer success teams operate.
• Communicate progress, business impact, and demos directly to executive leadership.

Ideal Candidate Profile

• Strong product intuition paired with technical depth in modern AI capabilities, LLMs, and agentic workflows.
• Ability to independently go from problem definition → prototype → production deployment.
• Demonstrated success solving ambiguous operational problems in fast-moving environments.
• Experience collaborating with cross-functional teams and translating operational needs into scalable AI solutions.
• Portfolio or GitHub showcasing self-directed AI projects or tooling.

Minimum Qualifications

• Technical degree (Computer Science, Engineering, Mathematics, Physics, or similar).
• Coursework or practical experience in AI/ML, product development, or entrepreneurship.
• Prior experience in product management or software engineering, ideally with exposure to AI-enabled products.
• Strong understanding of LLMs, AI agents, and contemporary AI tooling.
• Proficiency in at least one programming language (Python preferred) and comfort using AI-assisted development tools.
• Clear communicator capable of influencing senior and executive stakeholders.

Nice to Have

• Experience in enterprise software environments collaborating with cross-functional teams and translating operational needs into scalable AI solutions.
• Internships or research roles in AI/ML labs.
• Hackathon participation, open-source contributions, or product-focused side projects.
• Portfolio or GitHub showcasing self-directed AI projects or tooling.
  
  

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