Product Manager - Artificial Intelligence

Impact: AI and machine learning innovation

Manages AI and machine learning products. Focuses on AI innovation, machine learning applications, and AI-powered solutions.

From people doing the work

It's a constant balancing act between new AI research and real-world business value. You're the bridge between data scientists, engineers, and the market, translating complex algorithms into tangible product features that users love and that drive impact. Expect a lot of stakeholder management and a need to stay updated on the latest AI trends.

Drawn from Product School, AI Product Managers LinkedIn Group, Towards Data Science

Attribution: Composite

Composite · Synthesised from Product School, AI Product Managers LinkedIn Group, Towards Data Science

A day in the life of a Product Manager - Artificial Intelligence

People interaction
Moderate
Team vs solo
60% Team / 40% Solo
Client facing
Sometimes
Impact visibility
Very High
Travel
Moderate
Schedule flexibility
Flexible
Remote work
Hybrid
Typical work hours
45-55 hours/week
Stress level
High

Product Manager - Artificial Intelligence salary, education and outlook at a glance

Median salary
$200,000
Entry-level
$125,000 - $160,000
Senior
$300,000
Growth by 2033
31% (much faster than average)
Demand
Growing Fast
Freelance potential
Low
Salary growth potential
High (140% from entry to senior)
Typical student debt
Moderate

Skills you need as a Product Manager - Artificial Intelligence

Hard skills

  • AI/ML Algorithms
  • Machine Learning
  • Neural Networks

Soft skills

  • Technical Thinking
  • Innovation
  • Communication

Technical complexity: Very High

Tools of the trade

Core tools

  • Jira (Software): Manages product backlogs, sprints, and issues for AI/ML product development.
  • Confluence (Software): Documents product requirements, technical specifications, and AI model designs.
  • Python (Language): Used for prototyping AI/ML models and understanding data science workflows.

Commonly used

  • TensorFlow (Framework): Familiarity with this framework helps in understanding AI model development and deployment.
  • AWS SageMaker (Platform): Manages the lifecycle of machine learning models from development to deployment.
  • SQL (Language): Queries data for analysis, feature engineering, and understanding model performance.

Specialist tools

  • Tableau (Software): Visualizes AI product performance metrics and user insights.

How to become a Product Manager - Artificial Intelligence

Minimum education
Bachelor's Degree in Computer Science or related field
Licensing
No
Years to mid-career
5-7 years
Years to senior
12-16 years
Career switching
Very Hard

Where this career leads

How people arrive here

  • Data Scientist: Transitions from focusing on data analysis and model building to product strategy and market needs for AI solutions.
  • Software Engineer (Machine Learning): Moves from implementing AI models to defining the product vision and roadmap for AI-powered features.
  • Product Owner: Expands from managing a product backlog to leading the strategic direction of AI products.

Where you can go from here

  • Head of AI Product: Advances to a leadership role overseeing multiple AI product lines and strategy.
  • AI/ML Consultant: Applies expertise in AI product development to advise various clients on their AI strategies.
  • Chief Product Officer: Progresses to a senior executive role, responsible for the overall product vision and strategy of a company.

Typical progression

  1. AI PM
  2. Senior PM
  3. AI Lead
  4. Product Manager

Product Manager - Artificial Intelligence job outlook and future demand

Automation probability
4%, very low risk
AI disruption risk
Very Low
Demand trend
Growing Fast

Job satisfaction as a Product Manager - Artificial Intelligence

Overall satisfaction
8.1/10
Meaning
8.3/10
Work-life balance
6.8/10
Prestige
7.8/10
Social perception
High

Where practitioners gather

Podcasts and media

Online communities

  • Product School: Offers courses and a community for product managers, including those in AI.
  • AI Product Managers: A LinkedIn group for professionals focused on AI product management.
  • Kaggle: A community for data scientists and machine learning engineers to compete and collaborate.

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