Tech Stack

Description

You will own a dedicated AI transformation pod, partnering with a go-to-market function to identify and build AI-powered solutions that drive operational efficiency. You'll manage the full product lifecycle, collaborate with executive stakeholders, and leverage AI tools to rapidly develop and iterate on solutions.

Requirements

• 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

Responsibilities

• 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