Owns the vision, roadmap and delivery of AI-powered products.

Entry

Senior

Coding

Medium

Key skills

AI product strategyStakeholder managementCommunicationRoadmapping

Career overview

The AI Product Manager owns AI-powered products: defining the problem, the value, the roadmap, the metrics and the responsible-AI guardrails, while coordinating data science, engineering and business teams. They translate AI capabilities into user value. The role leads to Senior Product Manager, Head of Product or AI Solutions Architect positions.

Main responsibilities

  • Define and drive AI product strategy
  • Define and drive product strategy and roadmap
  • Own, refine and prioritise the product backlog
  • Arbitrate scope based on user and business value
  • Keep technical documentation up to date
  • Prepare and execute change requests in production
  • Analyse application logs to identify root causes
  • Coordinate the technical work of the team
  • Mentor junior team members and review their work

Technical skills

AI product strategy88%
Roadmapping85%
AI/ML literacy80%
Metrics & experimentation82%
Stakeholder management88%
Responsible AI80%
User research78%
Communication88%

Technologies

JiraConfluenceProductboardAmplitudeMixpanelLookerPower BIOpenAI APIPython basicsSQLFigmaMiroA/B testingNotionSlackTableauGoogle AnalyticsSegmentdbt

Education level

Education requirements vary depending on the company, country and experience. Professional experience, certifications and technical skills can sometimes compensate for formal education.

High School / Bac

Less common

Bac+2 (2-year degree)

Less common

Bac+3 (Bachelor)

Less common

Bac+5 (Master / Engineering)

Common entry point

Experience & coding level

Experience level

Entry LevelJuniorIntermediateSeniorExpert

Coding level

No codingLowMediumHighVery High
Technical difficulty65%

Useful certifications

Certifications are never mandatory. They are one way among others to prove a skill.

  • Google Product Analytics
  • Product Management Certificate (Pragmatic Institute)
  • Microsoft AI Fundamentals (AI-900)

Where can this career take you?

Multiple paths are possible. Click a role to open its profile.

Where can you go next?

Realistic next career moves, with compatibility and a transition roadmap for each.

Where can you go from here?

A typical progression built from real career relationships. Click any role to open its profile.

Soft skills
  • Leadership
  • Clear communication
  • Strategic thinking
  • Stakeholder management
  • Technical curiosity
  • Sense of ownership
Common previous careers

Roles that frequently lead into this career.

Overlap: 12% · Difficulty: Medium

Skills to learn: AI product strategy, Roadmapping, AI/ML literacy

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