AI Product Builder at Abnormal Security developing internal AI-powered solutions for operational efficiency. Owning AI transformation strategy and collaborating with executive leadership to drive impact.
Responsibilities
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.
Healthcare SMEs evaluating clinical accuracy, reasoning, and safety in AI - generated medical content for Volga Partners. Project - based remote assignments for physicians, nurse practitioners, and physician assistants.
Healthcare professionals evaluating AI - generated medical content for Volga Partners. Applying clinical judgment to improve the accuracy and reliability of healthcare AI models.
Healthcare SMEs evaluating AI - generated medical content for Volga Partners. Applying clinical judgment to assess accuracy, reasoning, safety, and evidence - based recommendations.
Healthcare SMEs evaluate AI - generated medical content for Volga Partners’ healthcare technology projects. Applying clinical judgment, guidelines, and evidence - based reasoning to improve AI accuracy.
Healthcare SMEs evaluating AI - generated medical content for Volga Partners’ advanced AI projects. Applying clinical judgment to identify errors, validate reasoning, and improve healthcare AI reliability.
Conseiller RH optimisant les technologies, l’automatisation et l’IA chez EXFO. Amélioration des processus, gouvernance des données et conformité à Montréal ou Québec.
Microsoft - certified affiliate contractor joining Veriday’s independent network. Supporting enterprise Azure, Fabric, AI, and analytics projects across North America.
AI Evaluation Engineer building statistical evaluation, CI/CD testing, and observability infrastructure for Scopic’s production AI agents. Designing adversarial, multi - turn, and structured - output test systems.
Senior multi - skilled designer creating AI - assisted branding, web, graphic, and illustration work for ManyPixels. Delivering varied client projects quickly while managing quality, feedback, and tight deadlines.
Director leading Huron’s healthcare AI strategy and transformation engagements. Selling advisory work, delivering measurable value, and scaling a 12 - 15 - person consulting team.