Country
Sector
Search a job
ARTIFICIAL INTELLIGENCE (AI)

Artificial Intelligence Product Manager

Leads AI product strategy by translating business needs into machine learning specifications for data science teams.

70 000 – 180 000 NZD ($)
Average salary / year
Master's degree or higher in Computer Science, Data Science, Business Administration or related fields.
Education level
00
Automation level
Low
Difficulty
Positive
Employability
12-24 months
Market tension
Moderate to high
Intl. mobility
Possible
Automation level
Low
Difficulty
Positive
Employability
12-24 months
Market tension
Moderate to high
Intl. mobility
Possible
Sponsor this career pagePARTNER SPACESponsorthis career pageBecome a sponsor

About

The Artificial Intelligence Product Manager is responsible for defining the AI product roadmap and ensuring alignment between business objectives and technical implementation. This role involves collaborating closely with data science teams to translate business requirements into clear machine learning specifications, managing project timelines, and overseeing the development and deployment of AI solutions that meet organizational goals.

Entering the profession — New Zealand

L'accès à ce métier se fait généralement après un diplôme de niveau master et une expérience préalable en gestion de produit ou en développement technologique. Les stages et les premières expériences dans des équipes produit facilitent l'entrée.

Training — New Zealand

La formation repose sur un cursus professionnel orienté vers l'informatique, la gestion de produit et l'intelligence artificielle, souvent complété par un master spécialisé. Des formations continues et certifications spécifiques sont également valorisées.

The job market — New Zealand

Le marché de l'emploi est dynamique avec une forte demande dans les secteurs technologiques et financiers, où l'innovation en intelligence artificielle est un levier stratégique. Le télétravail est possible selon les entreprises.

Skills

Technical skills

  • Understanding of machine learning concepts and workflows
  • Ability to write clear technical specifications for ML models
  • Familiarity with AI product lifecycle management
  • Data analysis and interpretation skills
  • Proficiency in project management methodologies
  • Knowledge of AI ethics and compliance standards

Interpersonal skills

  • Strong communication and interpersonal skills
  • Analytical and strategic thinking abilities
  • Collaboration and team coordination
  • Problem-solving and decision-making expertise
  • Adaptability to evolving technologies
  • Effective stakeholder management

Tasks

  • Define the AI product roadmap in alignment with business strategy
  • Translate business needs into detailed machine learning specifications
  • Collaborate with data science teams to guide model development
  • Coordinate cross-functional teams, including engineering and marketing
  • Monitor AI project progress and adjust plans as necessary
  • Ensure AI solutions meet quality and compliance standards
  • Communicate AI product vision and updates to stakeholders
  • Analyze market trends and competitor AI products
  • Identify opportunities for AI innovation within the company
  • Manage risks associated with AI product development
  • Facilitate user feedback integration into AI product improvements
  • Support deployment and scaling of AI solutions

Work environments

Work environments for professionals in this sector may vary:

Technology companies focusing on advanced AI solutions
Startups specializing in AI innovation and development
Large enterprises with AI initiatives driving transformation
Consulting firms offering AI expertise to clients
Research institutions pioneering AI technologies

Career paths

  • Progress to Senior AI Product Manager overseeing larger projects
  • Advance to Head of AI Product leading strategic initiatives
  • Become Director of AI Strategy shaping company direction
  • Evolve into Chief Product Officer with executive responsibilities
  • Transition to AI Program Manager managing comprehensive programs

Profile sought

Technical proficiency in AI and machine learning
Business oriented mindset
Effective communicator with diverse audiences
Organized and detail oriented approach
Proactive and innovative thinker

FAQ

How to become a Artificial Intelligence Product Manager?

Jobs in the same sector

AI Ethicist
00
AI Ethicist
Artificial Intelligence (AI)

Evaluate algorithmic bias and assess social impact to ensure ethical integration of AI technologies within interdisciplinary teams.

60k–150k
AI Personality Designer
00
AI Personality Designer
Artificial Intelligence (AI)

Design intuitive AI personalities by applying human-computer interaction principles and emotional intelligence to enhance user engagement and experience.

50k–120k
AI and Data Science Product Manager
00
AI and Data Science Product Manager
Artificial Intelligence (AI)

Drive the development of data-driven products by collaborating with cross-functional teams and managing the product lifecycle from ideation to launch.

70k–160k
Prompt Engineer
00
Prompt Engineer
Artificial Intelligence (AI)

Craft and optimize prompts for AI models to enhance their precision and align with specific business objectives.

55k–130k
Sustainability Data and AI Analyst
00
Sustainability Data and AI Analyst
Artificial Intelligence (AI)

Analyze large datasets to uncover insights that drive evidence-based decisions for enhancing sustainability practices and resource optimization.

55k–120k
Chatbot Project Manager
10
Chatbot Project Manager
Artificial Intelligence (AI)

Lead the development of AI-driven chatbots by managing projects from conception through to successful deployment and user engagement.

55k–120k
Data and AI Project Manager
00
Data and AI Project Manager
Artificial Intelligence (AI)

Lead projects integrating AI and data analytics to align strategies with business objectives and drive informed decision-making.

70k–160k
Artificial Intelligence Trainer
10
Artificial Intelligence Trainer
Artificial Intelligence (AI)

Train advanced AI models using NLP frameworks and machine learning algorithms to enhance their accuracy and usability.

50k–110k