Product Manager AI

• 9+ years of experience in product management, with at least 2+ years directly working on AI or

LLM-powered products - you have shipped something real, not just written a roadmap for it.

• Demonstrated experience in agile environments (Scrum, Kanban, or hybrid) - including the ability

to run ceremonies, manage backlogs, and drive delivery without heavy process overhead.

• Comfortable operating in environments undergoing SDLC-to-agile transition - you've done this

before and know what good looks like.

• Strong hands-on experience with Jira and Confluence for backlog management, sprint tracking,

and documentation.

• Strong analytical and problem-solving skills - able to break ambiguous, complex problems into clear,

actionable product work.

• Excellent communication skills; able to hold a technical conversation with an ML engineer and a

business conversation with a client operations lead in the same day.

• Bachelor's or master's degree in business, computer science, AI/ML, data engineering, or a related

field.

Good to Have

• Experience in fintech, banking, mortgage, payments, or regulated enterprise environments.

• Practical exposure to AI/ML concepts such as document processing, workflow automation, decision

support, or humanintheloop systems.

• Understanding of RAG architecture, vector database, and SQL.

• Exposure to LLM APIs and MCP concepts for integration design or product design context.

• AI/ML and/or PM certification from a recognized institution (Microsoft, Google, Coursera, etc.).

• Experience working with Git, CI/CD pipelines, and DevOps environments.

• Prior experience working with globally distributed teams.