AI Product Manager

Role overview

This role focuses on shaping and delivering AI-driven products and capabilities. You will turn business needs into practical product plans, work with technical and business teams, and help bring scalable AI solutions to market.

Key responsibilities

• Create and own product direction and release plans for AI-enabled features and products.
• Partner with Engineering, Data Science, Design, Risk, Compliance, and Business teams to build solutions that can scale effectively.
• Convert business goals into detailed product documents, user flows, user stories, and technical requirements.
• Collaborate with AI and ML specialists on LLM-based use cases, AI agents, automation products, recommendation engines, and data intelligence initiatives.
• Research the market, study competitors, and analyze user feedback to uncover new opportunities.
• Rank and prioritize product ideas based on business value, user demand, and technical effort.
• Track product outcomes, engagement trends, and operational metrics, then use insights to improve the product continuously.
• Lead product launch coordination and support execution across all involved stakeholders.

Requirements

• A bachelor’s degree in Business, Computer Science, Engineering, Data Science, or a similar discipline.
• About 2 to 3 years of product management experience, ideally in AI, SaaS, fintech, or technology-driven businesses.
• Solid grasp of AI and ML fundamentals, including LLMs, prompt engineering, and AI workflow design.
• Experience working in agile settings with cross-functional technical teams.
• Strong analytical ability and a structured approach to solving problems.
• Comfort communicating with both technical specialists and non-technical stakeholders.
• Working familiarity with product management tools such as Jira, Confluence, Figma, or comparable software.
• Strong communication skills and the ability to coordinate projects effectively.

Additional information

The hiring process may involve AI-based tools to help review applications, screen resumes, assess responses, and flag possible inconsistencies or verification signals in submitted materials. These tools are used to assist the recruitment team and do not replace human review. Final hiring decisions are made by people. If you want more details about how your information is handled, you may contact the employer directly.