Applied AI Product Manager

📋 Description

• Engage directly with customers to analyze tickets, workflows, and DD sessions in order to pinpoint operational challenges.

• Recognize high-impact opportunities where AI enhances customer experiences, focusing on substantial benefits rather than trends.

• Deliver functional prototypes rather than presentations; our pace is measured in days, not quarters.

• Establish success metrics that are connected to customer value and hold yourself accountable to these standards.

• Collaborate directly with LLMs, APIs, and product code. While engineering expertise isn't mandatory, comfort with a codebase is essential.

• Rapidly create and test prototypes utilizing AI tools, product code, APIs, and internal processes.

• Make difficult decisions regarding project scope, rejecting 80% of ideas to ensure the remaining 20% is successfully implemented.

• Validate outcomes and continuously enhance workflows to ensure that solutions are sustainable.

⛳️ Requirements

• You have successfully deployed AI-driven features for actual users, beyond just internal tools or demonstrations.

• You approach decisions with a mindset of trade-offs rather than adhering strictly to best practices.

• You work swiftly—uncomfortably so. You would prefer to release something that’s not perfect on Tuesday rather than a polished version next month.

• You can comprehend code, query databases, and effectively prompt an LLM with accuracy, using these skills as everyday tools rather than mere party tricks.

• You possess a strong inclination towards taking action and do not allow issues to remain unresolved for extended periods.

• You value firsthand experience, diving deep into customer interactions, tickets, and workflows instead of depending solely on consensus.

• You validate and deliver value promptly.

🏝️ Benefits

• Competitive salary

• Remote work options