Types of AI Product Manager Jobs
AI Product Manager - Platform
This role focuses on building and managing AI platforms that support multiple products or teams. The AI Product Manager - Platform works closely with engineering and data science to create scalable infrastructure and reusable AI components. They ensure the platform meets the needs of internal stakeholders and external customers. Their responsibilities include defining platform strategy, prioritizing features, and driving adoption. This role is ideal for those who enjoy technical challenges and cross-functional collaboration.
AI Product Manager - Applied AI
An Applied AI Product Manager is responsible for integrating AI technologies into specific products or solutions. They work with business stakeholders to identify opportunities for AI, define product requirements, and oversee the development and deployment of AI features. Their focus is on delivering tangible business value through AI-driven enhancements. They must balance technical feasibility with user needs and business goals. This role requires strong communication skills and a deep understanding of both AI and the target market.
AI Product Manager - NLP (Natural Language Processing)
This type of AI Product Manager specializes in products that leverage NLP technologies, such as chatbots, virtual assistants, or language translation tools. They work with data scientists and linguists to develop and refine NLP models. Their responsibilities include understanding user needs, defining product roadmaps, and ensuring high-quality language experiences. They must stay updated on the latest NLP research and trends. This role is suited for those passionate about language and AI.
AI Product Manager - Computer Vision
An AI Product Manager in Computer Vision focuses on products that use image and video analysis, such as facial recognition, object detection, or augmented reality. They collaborate with computer vision engineers to define product features and ensure robust model performance. Their work involves understanding customer use cases, managing data pipelines, and addressing ethical considerations. They must also keep up with advancements in computer vision technology. This role is ideal for those interested in visual AI applications.
AI Product Manager - Responsible AI
A Responsible AI Product Manager ensures that AI products are developed and deployed ethically and responsibly. They focus on fairness, transparency, privacy, and compliance with regulations. Their work involves setting guidelines for ethical AI use, conducting impact assessments, and collaborating with legal and policy teams. They also educate stakeholders on responsible AI practices. This role is critical as organizations increasingly prioritize ethical considerations in AI development.
Entry Level Job Titles
Associate AI Product Manager
An Associate AI Product Manager is an entry-level role designed for individuals starting their career in AI product management. They support senior product managers in conducting market research, gathering requirements, and coordinating with engineering teams. Their responsibilities may include writing user stories, tracking project progress, and analyzing product metrics. This role provides exposure to the full product lifecycle and helps build foundational skills. It is ideal for recent graduates or those transitioning from technical or business roles.
AI Product Analyst
An AI Product Analyst assists product managers by analyzing data, user feedback, and market trends to inform product decisions. They may help define product requirements, monitor AI model performance, and prepare reports for stakeholders. This role requires strong analytical skills and a basic understanding of AI concepts. It serves as a stepping stone to more senior product management positions. The position is suitable for those with backgrounds in data analysis or business intelligence.
AI Product Coordinator
An AI Product Coordinator supports the product management team by handling administrative tasks, scheduling meetings, and ensuring smooth communication between teams. They may assist in preparing product documentation and tracking project timelines. This role is ideal for those looking to gain experience in product management processes. It offers opportunities to learn about AI projects and develop organizational skills. The position can lead to more advanced product management roles.
Junior AI Product Manager
A Junior AI Product Manager works under the guidance of more experienced product managers to help define and deliver AI features. They participate in user research, assist in writing product specifications, and help manage the product backlog. This role provides hands-on experience in product development and stakeholder management. It is suitable for those with some experience in product or project management. The position helps build the skills needed for advancement to mid-level roles.
AI Product Management Intern
An AI Product Management Intern is a temporary, entry-level position for students or recent graduates interested in AI product management. Interns work on specific projects, conduct research, and support the product team in various tasks. They gain exposure to the product development process and learn about AI technologies. This role is a great way to gain practical experience and network within the industry. Successful interns may be offered full-time positions upon graduation.
Mid Level Job Titles
AI Product Manager
An AI Product Manager at the mid-level is responsible for owning the end-to-end lifecycle of AI products or features. They work closely with cross-functional teams to define product vision, prioritize features, and ensure successful delivery. Their responsibilities include market analysis, user research, and performance tracking. They must balance technical and business considerations to drive product success. This role requires several years of experience in product management or related fields.
Technical AI Product Manager
A Technical AI Product Manager has a strong technical background and works on complex AI products that require deep technical understanding. They bridge the gap between engineering, data science, and business teams. Their responsibilities include defining technical requirements, managing data pipelines, and ensuring model scalability. They often work on platform or infrastructure projects. This role is ideal for those with experience in software engineering or data science.
AI Solutions Product Manager
An AI Solutions Product Manager focuses on delivering AI-powered solutions tailored to specific customer needs or industries. They work with sales and customer success teams to understand client requirements and translate them into product features. Their role involves customizing AI models, managing deployments, and ensuring customer satisfaction. They must have strong problem-solving skills and industry knowledge. This position is suited for those who enjoy working directly with customers.
AI Product Owner
An AI Product Owner is responsible for managing the product backlog and ensuring that development teams deliver value in each sprint. They work closely with stakeholders to define user stories and prioritize tasks. Their focus is on maximizing the impact of AI features and ensuring alignment with business goals. This role requires strong organizational and communication skills. It is often found in agile development environments.
AI Product Lead
An AI Product Lead oversees a team of product managers working on multiple AI products or features. They set product strategy, mentor junior team members, and coordinate cross-team initiatives. Their responsibilities include aligning product roadmaps with company objectives and ensuring high-quality delivery. This role requires leadership experience and a deep understanding of AI technologies. It is a stepping stone to senior or director-level positions.
Senior Level Job Titles
Senior AI Product Manager
A Senior AI Product Manager leads the development of complex AI products and features, often overseeing multiple teams or projects. They are responsible for setting product vision, defining long-term strategy, and ensuring alignment with business objectives. Their role involves mentoring junior product managers and representing the product to executive leadership. They must have deep expertise in AI and product management. This position requires strong leadership, communication, and strategic thinking skills.
Principal AI Product Manager
A Principal AI Product Manager is a highly experienced professional who drives the strategy and execution of key AI initiatives. They work on high-impact projects, often with significant business or technical complexity. Their responsibilities include identifying new opportunities, shaping product direction, and influencing company-wide AI strategy. They serve as subject matter experts and thought leaders within the organization. This role is ideal for those with a track record of delivering successful AI products.
Lead AI Product Manager
A Lead AI Product Manager oversees a team of product managers and is responsible for the success of a portfolio of AI products. They set strategic priorities, allocate resources, and ensure cross-functional alignment. Their role involves stakeholder management, risk assessment, and performance evaluation. They must balance short-term delivery with long-term vision. This position is suited for those with strong leadership and organizational skills.
AI Product Strategy Manager
An AI Product Strategy Manager focuses on defining and executing the strategic direction for AI products. They conduct market analysis, identify growth opportunities, and develop go-to-market plans. Their responsibilities include competitive analysis, pricing strategy, and partnership development. They work closely with executive leadership to align product strategy with business goals. This role requires strong analytical and strategic thinking abilities.
AI Product Portfolio Manager
An AI Product Portfolio Manager oversees a suite of AI products, ensuring they align with the company's overall strategy and deliver business value. They manage resource allocation, product roadmaps, and performance metrics across multiple teams. Their role involves balancing competing priorities and optimizing the product portfolio for growth and profitability. They must have experience managing large, complex projects. This position is ideal for those with a broad understanding of AI and business strategy.
Director Level Job Titles
Director of AI Product Management
The Director of AI Product Management leads the AI product management function within an organization. They are responsible for setting the vision, strategy, and goals for all AI products. Their role involves managing a team of product managers, overseeing product roadmaps, and ensuring successful delivery of AI initiatives. They work closely with executive leadership to align AI strategy with business objectives. This position requires extensive experience in both AI and product management.
Director of AI Solutions
A Director of AI Solutions oversees the development and delivery of AI-powered solutions for clients or internal stakeholders. They manage cross-functional teams, drive solution strategy, and ensure customer satisfaction. Their responsibilities include identifying new business opportunities, managing key accounts, and ensuring high-quality delivery. They must have strong leadership and client management skills. This role is ideal for those with experience in consulting or enterprise solutions.
Director of AI Platforms
The Director of AI Platforms is responsible for building and scaling AI infrastructure and platforms that support multiple products or business units. They set platform strategy, manage technical teams, and ensure the platform meets organizational needs. Their role involves driving innovation, ensuring scalability, and managing budgets. They must have deep technical expertise and experience in platform development. This position is suited for those with a background in engineering or data science.
Director of Responsible AI
A Director of Responsible AI leads efforts to ensure ethical and responsible development and deployment of AI products. They set policies, conduct impact assessments, and collaborate with legal, compliance, and policy teams. Their responsibilities include educating stakeholders, managing risk, and ensuring compliance with regulations. They play a key role in building trust with customers and regulators. This role is critical as organizations face increasing scrutiny over AI ethics.
Director of AI Product Strategy
The Director of AI Product Strategy defines and drives the strategic direction for AI products across the organization. They conduct market analysis, identify growth opportunities, and develop long-term plans. Their role involves working with executive leadership, managing strategic partnerships, and ensuring alignment with business goals. They must have strong analytical, leadership, and communication skills. This position is ideal for those with experience in strategy and product management.
VP Level Job Titles
Vice President of AI Product Management
The Vice President of AI Product Management is responsible for the overall leadership and direction of the AI product management organization. They set the vision, strategy, and goals for all AI products and ensure alignment with company objectives. Their role involves managing directors and senior product leaders, overseeing large-scale initiatives, and representing AI products to the executive team and board. They must have extensive experience in AI, product management, and leadership. This position is critical for driving innovation and business growth.
VP of AI Solutions
The VP of AI Solutions leads the development and delivery of AI-powered solutions for clients or business units. They are responsible for solution strategy, client relationships, and business development. Their role involves managing large teams, driving revenue growth, and ensuring customer satisfaction. They must have a strong track record in consulting, enterprise solutions, or technology leadership. This position is ideal for those with experience in scaling AI solutions.
VP of AI Platforms
The VP of AI Platforms oversees the development and scaling of AI infrastructure and platforms across the organization. They set platform vision, manage technical and product teams, and ensure the platform supports business needs. Their responsibilities include driving innovation, managing budgets, and ensuring platform reliability and scalability. They must have deep technical and leadership experience. This role is suited for those with a background in engineering or data science leadership.
VP of Responsible AI
The VP of Responsible AI leads the organization's efforts to ensure ethical, transparent, and compliant AI development and deployment. They set company-wide policies, manage risk, and engage with regulators and external stakeholders. Their role involves building a culture of responsible AI, overseeing impact assessments, and ensuring adherence to ethical standards. They must have experience in policy, compliance, and AI ethics. This position is increasingly important as organizations face regulatory and reputational risks.
VP of AI Product Strategy
The VP of AI Product Strategy defines and drives the long-term strategic direction for AI products at the highest level. They work closely with the executive team to identify growth opportunities, manage strategic partnerships, and ensure alignment with business goals. Their responsibilities include market analysis, competitive intelligence, and investment planning. They must have strong strategic, analytical, and leadership skills. This role is ideal for those with experience in corporate strategy and product leadership.
How to Advance Your Current AI Product Manager Title
Gain Deep Technical Knowledge
To advance as an AI Product Manager, it is essential to develop a strong understanding of AI technologies, including machine learning, data science, and relevant tools. This knowledge enables you to communicate effectively with technical teams and make informed product decisions. Consider taking courses, attending workshops, or earning certifications in AI and data science. Staying updated on the latest trends and advancements in AI will also help you identify new opportunities for your products. Demonstrating technical expertise can set you apart from other product managers.
Build Cross-Functional Leadership Skills
AI Product Managers must work closely with engineering, data science, design, and business teams. Developing strong leadership and collaboration skills is crucial for driving projects forward and resolving conflicts. Seek opportunities to lead cross-functional initiatives, mentor junior team members, and facilitate effective communication. Building relationships across the organization will help you gain support for your ideas and initiatives. Strong leadership skills are often a prerequisite for promotion to senior roles.
Deliver High-Impact AI Products
Consistently delivering successful AI products that drive business value is key to advancing your career. Focus on identifying high-impact opportunities, setting clear goals, and measuring outcomes. Use data-driven decision-making to prioritize features and optimize product performance. Document your achievements and share success stories with stakeholders and leadership. A track record of delivering results will position you for advancement to more senior roles.
Develop Strategic Thinking
As you progress in your career, strategic thinking becomes increasingly important. Learn to analyze market trends, assess competitive landscapes, and identify long-term opportunities for your products. Develop skills in business strategy, go-to-market planning, and financial analysis. Seek mentorship from senior leaders and participate in strategic planning sessions. Demonstrating strategic vision will help you move into leadership positions.
Expand Your Professional Network
Networking with other AI professionals, product managers, and industry leaders can open doors to new opportunities and provide valuable insights. Attend industry conferences, join professional organizations, and participate in online communities. Building a strong network can help you stay informed about industry trends, learn from others' experiences, and gain visibility within your organization. Networking is often a key factor in career advancement.
Similar AI Product Manager Careers & Titles
Machine Learning Product Manager
A Machine Learning Product Manager focuses specifically on products and features that leverage machine learning algorithms. They work closely with data scientists and engineers to define requirements, prioritize features, and ensure successful deployment of ML models. Their responsibilities are similar to those of an AI Product Manager but with a narrower focus on machine learning. They must have a strong understanding of ML concepts and applications. This role is ideal for those interested in the technical aspects of AI.
Data Product Manager
A Data Product Manager oversees products and platforms that manage, process, and analyze data. They work with data engineering and analytics teams to define data strategies, build data pipelines, and deliver insights to users. Their role often overlaps with AI Product Managers, especially when data is used to power AI features. They must have strong analytical and technical skills. This position is suited for those interested in data-driven product development.
Technical Product Manager
A Technical Product Manager manages products that require deep technical expertise, such as APIs, platforms, or developer tools. They work closely with engineering teams to define technical requirements and ensure product scalability and reliability. Their responsibilities may include managing AI or machine learning products, depending on the organization. They must have a strong technical background and the ability to translate technical concepts for non-technical stakeholders. This role is ideal for those with experience in software engineering or technical project management.
Product Owner - AI/ML
A Product Owner in AI/ML is responsible for managing the product backlog and ensuring that development teams deliver value in each sprint. They work closely with stakeholders to define user stories and prioritize tasks related to AI and machine learning features. Their role is similar to that of an AI Product Manager but is often more focused on agile development processes. They must have strong organizational and communication skills. This position is common in organizations that use agile methodologies.
AI Solutions Architect
An AI Solutions Architect designs and oversees the implementation of AI solutions for clients or internal stakeholders. They work closely with product managers, engineers, and data scientists to ensure that AI systems meet business requirements and technical standards. Their responsibilities include solution design, technical leadership, and client engagement. They must have deep technical expertise in AI and experience with system architecture. This role is ideal for those who enjoy designing and building complex AI systems.