AI Product Manager - Infrastructure

Key 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.

Required Skills/Qualifications

• 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.

Pay

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.