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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.
Job Responsibility:
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
Requirements:
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