AI Product Manager - Infrastructure

Millennium•New York, NY

4d•$175,000 - $250,000

About The Position

The AI Product Manager role within Infrastructure at Millennium will lead AI-focused product enablement and adoption initiatives across our global organization. The ideal candidate will have a mix of technical experience in AI/ML/LLM products and APIs, process automation, and proficiency in survey design and data analytics. They will play a key role in identifying pain points in the organization, understand the landscape of existing AI solutions in the market (or what can be built internally), match solutions to those problems, and onboard teams with new and existing AI tools to foster a culture of AI awareness and innovation across Millennium. The ideal candidate will also demonstrate a strong spirit of ownership, initiative, curiosity, and professional communication skills. They will lead many efforts to develop and deliver the dynamic world of technical AI products to all types of users across our global offices.

Requirements

Bachelor’s degree or higher in Computer Science, Data Science, Engineering, or a related technical field. Must have technical knowledge and experience.
5-7+ years of experience in a combination of AI/ML/LLM engineering, startup, technical education, consulting, data science, product analytics, or product management roles. Some technical / engineering / building experience is a hard requirement, e.g. you must be able to use the CLI and analyze data.
Strong knowledge of AI/ML concepts, especially Large Language Models (LLMs). Understanding of their capabilities and failings as a technology.
Proficiency in SQL and Python for data analysis and visualization.
Proficiency in survey software and analytics tools (e.g. Qualtrics).
Strong familiarity with effective SDLC and CI/CD principles.
Proven ability to use clear judgment and organizational skills to manage complex, cross-functional products involving technical and non-technical teams.
Intellectual curiosity and strong aptitude for prioritization.

Responsibilities

Awareness of AI Ecosystem and Trends
Use Claude Code / Codex / Cursor / etc. as well as Skills in these tools.
Follow developments among major players in the commercial and open-source AI/LLM space, including Anthropic, OpenAI, Google, xAI, and others.
Communication
Communicate clearly and effectively with internal and external vendors and stakeholders about requirements, feature requests, scope, expectations, priorities, product releases, and timelines.
Generate clear, consistent, and accurate documentation about products, tradeoffs, decisions, and value proposition of various efforts.
AI Product Enablement and Adoption
Conduct consulting-style engagements with technical and non-technical teams to onboard them with AI tools and products available within Millennium.
Collaborate with users to understand pain points, needs, feature requests, and requirements to design and execute product development with usability and scalability in mind.
Feedback Collection and Data Analytics
Analyze usage and feedback data with accuracy and quality using SQL and Python to identify trends, gaps, and opportunities for product improvements.
Use insights from your analysis to refine product roadmaps and enablement initiatives to maximize impact across the firm.