AI Product Manager Job Description Template

Use this AI Product Manager job description template to attract professionals who can lead the development of machine learning-powered products from strategy to execution.
Hire Talent
  • Freelance contractors
  • Full-time roles
  • Global teams
job descriptions
Responsibilities & Skills

If you’re hiring a specific type of engineering roles, you can use this template as a foundation and customize  it to highlight the responsibilities, skills, and qualifications relevant to that role.

AI Product Manager Job Description Template

Job Title: AI Product Manager

Location: Remote / Hybrid / [City, State]
Job Type: Full-time
Department: Product Management / AI & ML / Technology

About the Role

We are looking for an experienced AI Product Manager to lead the strategy, development, and delivery of AI-powered products and features. You’ll bridge the gap between technical capabilities and customer needs—working with cross-functional teams to define product vision, prioritize roadmaps, and ship AI-driven solutions that are impactful, scalable, and aligned with business goals.

This role is ideal for someone who understands machine learning fundamentals, is user-focused, and thrives in high-ambiguity, high-impact environments.

Key Responsibilities

  • Define product vision and strategy for AI-driven features and services
  • Collaborate with data scientists, ML engineers, and designers to build and iterate on AI products
  • Translate business needs into technical requirements and product roadmaps
  • Prioritize and manage product backlogs, sprint planning, and cross-functional alignment
  • Communicate AI capabilities and limitations to non-technical stakeholders
  • Ensure responsible and ethical deployment of AI systems, including fairness, transparency, and safety
  • Track product performance using data, experimentation, and user feedback

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
  • 3+ years of product management experience, ideally with AI or data products
  • Understanding of machine learning workflows, model evaluation, and AI system limitations
  • Experience with agile development, product discovery, and stakeholder management
  • Strong analytical and communication skills
  • Ability to navigate ambiguity and drive clarity in experimental or research-driven environments

Preferred Qualifications

  • Familiarity with LLMs, generative AI, or recommendation systems
  • Experience with tools like OpenAI, Hugging Face, AWS SageMaker, or MLFlow
  • Background in UX for AI systems or human-in-the-loop workflows
  • Awareness of AI ethics, explainability, and responsible AI practices
  • Prior experience working in startups or high-growth product environments

What We Offer

  • A product-first culture focused on delivering meaningful AI impact
  • Opportunities to lead cross-functional initiatives at the intersection of AI and user experience
  • Access to cutting-edge models, data infrastructure, and cloud tools
  • Competitive salary, equity options, and comprehensive benefits
  • Flexible work arrangements and a collaborative, mission-driven environment

How to Apply

Please submit your resume and include any relevant product portfolios, case studies, or AI projects you’ve led or contributed to.

Frequently Asked Questions
What is the purpose of this AI Product Manager Job Description Template?

This template provides a standardized format for creating professional job descriptions that effectively communicate role requirements, responsibilities, and company information to potential candidates. It helps ensure consistency across your organization’s hiring materials while saving time in the recruitment process.

Replace all placeholder text with information specific to your open position. Pay special attention to sections like requirements, responsibilities, and qualifications to ensure they accurately reflect the needs of the role.

This job description template helps in recruitment by clearly defining the role and expectations, attracting qualified candidates, and streamlining the selection process. It serves as a reference during interviews and evaluations.

  • Include relevant keywords and industry-standard job titles
  • Use common terminology for skills and qualifications
  • Structure your content with clear headings
  • Avoid excessive formatting that might not translate across platforms
  • Ensure mobile-friendly content (concise paragraphs, scannable bullets)

Essential sections include:

  • Job title
  • Company overview
  • Position summary
  • Key responsibilities
  • Required qualifications/skills
  • Preferred qualifications
  • Compensation and benefits information
  • Equal opportunity statement

Strong Introduction:

  • Highlight technical challenges and impact
  • Mention key technologies and team culture

Specific Responsibilities:

  • Use concrete examples instead of vague statements
  • Clarify collaboration expectations and decision authority

Clear Requirements:

  • Separate must-have from nice-to-have skills
  • Include both technical and professional qualifications

Showcase Culture:

  • Describe engineering practices (code reviews, pair programming)
  • Highlight growth opportunities and unique developer benefits
Explore More