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Artificial Intelligence Product Manager Jobs (NOW HIRING)

Randstad Digital

Senior Product Manager - AI

Chicago, IL · On-site

$148K - $211K/yr

This role blends expertise in artificial intelligence, product management, and leadership to ensure the successful execution of AI initiatives aligned with business goals. The Senior Product Manager ...

Agentic Academy Labs

AI Product Manager

Manhattan, NY · On-site

About the Role We are seeking an innovative AI Product Manager to lead the development and strategic direction of our artificial intelligence products. In this role, you will work cross-functionally ...

Agentic Academy Labs

About the Role We are seeking an innovative AI Product Manager to lead the development and strategic direction of our artificial intelligence products. In this role, you will work cross-functionally ...

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Artificial Intelligence Product Manager information

See salary details

$51.5K

$159.4K

$197K

How much do artificial intelligence product manager jobs pay per year?

As of Sep 11, 2026, the average yearly pay for artificial intelligence product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What does an artificial intelligence product manager do?

An Artificial Intelligence (AI) Product Manager is responsible for guiding the development and launch of products that use AI technologies. They work closely with engineering, data science, and design teams to define product vision, requirements, and strategy, ensuring that AI solutions align with user needs and business goals. Their role includes market research, prioritizing features, managing project timelines, and communicating progress to stakeholders. They also oversee the ethical and responsible use of AI in products, balancing innovation with compliance and user trust.

How does an artificial intelligence product manager typically collaborate with data science and engineering teams during product development?

As an Artificial Intelligence Product Manager, close collaboration with data science and engineering teams is essential throughout the product lifecycle. You will work with data scientists to define project goals, validate data requirements, and ensure model outputs align with user needs. With engineers, you'll prioritize technical tasks, coordinate model integration into production systems, and resolve technical challenges. Regular cross-functional meetings, clear documentation, and shared roadmaps are common practices to keep all teams aligned and moving toward shared objectives.

What are the key skills and qualifications needed to thrive as an artificial intelligence product manager, and why are they important?

To thrive as an Artificial Intelligence Product Manager, you need a solid understanding of AI/ML concepts, product management experience, and often a degree in computer science, engineering, or a related field. Familiarity with data analytics tools, agile project management systems, and AI development platforms like TensorFlow or PyTorch is typically expected. Strong communication, stakeholder management, and critical thinking skills help bridge technical teams and business goals. These competencies are crucial for aligning AI solutions with user needs and driving successful product outcomes in a rapidly evolving industry.

What is the difference between Artificial Intelligence Product Manager vs Data Scientist?

AspectArtificial Intelligence Product ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Business, or related; experience in AI product developmentBachelor's/Master's/PhD in Data Science, Statistics, or related; strong programming skills
Work EnvironmentCross-functional teams, product-focused, collaboration with engineers and stakeholdersData analysis, modeling, research, often in research or analytics teams
Industry UsageTech companies, startups, AI-driven product firmsResearch institutions, tech companies, analytics firms
Common Search/ComparisonYesYes

The main difference is that an Artificial Intelligence Product Manager focuses on guiding AI product development, aligning business goals with AI capabilities, while a Data Scientist primarily analyzes data, builds models, and derives insights. Both roles require technical skills, but the Product Manager emphasizes product strategy and stakeholder communication, whereas the Data Scientist emphasizes data analysis and modeling.

What is an artificial intelligence product manager?

An artificial intelligence product manager oversees the development and deployment of AI-powered products and solutions. They coordinate cross-functional teams, define product requirements, and ensure AI models meet business goals, often requiring knowledge of machine learning, data analysis, and product lifecycle management.

What cities are hiring for Artificial Intelligence Product Manager jobs?

Cities with the most Artificial Intelligence Product Manager job openings:

What states have the most Artificial Intelligence Product Manager jobs?

States with the most job openings for Artificial Intelligence Product Manager jobs include:

What are popular job titles related to Artificial Intelligence Product Manager jobs?

For Artificial Intelligence Product Manager jobs, the most frequently searched job titles are:

Infographic showing various Artificial Intelligence Product Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Senior Product Manager - AI

Chicago, IL • On-site

Randstad Digital
See more jobs at Randstad Digitalexternal

$148K - $211K/yr

Other

Posted 6 days ago

Job description

job summary:

The Senior Product Manager is responsible for leading the planning, development and management of AI-driven products and services within the firm. This role involves overseeing the entire product lifecycle, from ideation to execution and launch, ensuring that AI products meet market demands and deliver high value to customers. This role blends expertise in artificial intelligence, product management, and leadership to ensure the successful execution of AI initiatives aligned with business goals. The Senior Product Manager will collaborate closely with internal teams, including legal stakeholders, engineering, IT, knowledge management, and marketing, to create innovative AI solutions that drive business outcomes.


Duties and Responsibilities:


Define and drive the product strategy and roadmap for AI-powered solutions in alignment with the firm's goals.


Maintain a robust roadmap for AI products, balancing near-term customer needs with long-term vision.


Stay informed of advancements in AI/ML technologies, cloud infrastructures, and software development methodologies to inform product decisions and foster innovation.


Stay abreast of AI trends, customer feedback, and the competitive landscape to identify growth opportunities and maintain a competitive edge.


Identify opportunities to integrate AI across the firm's application and product portfolio.


Manage the lifecycle of AI products, including ideation, development, launch, and iteration.


Influence leadership on issues within the professional discipline and foster cross-departmental collaboration to ensure the successful execution of AI initiatives.


Define and prioritize product features based on customer needs, market research, and technical feasibility.


Foster cross-departmental collaboration to ensure seamless delivery of AI projects.


Collaborate with key stakeholders to understand their AI workloads, pain points, and future requirements.


Collaborate with stakeholders to establish product goals, KPIs, and success metrics.


Engage with stakeholders to gather insights and feedback on AI solutions.


Ensure that AI-driven products address real-world problems and provide measurable value.


Develop creative solutions and make improvements to processes, programs, and policies to enhance the effectiveness and efficiency of AI-driven products.


Oversee the integration of AI models into various workflows, ensuring high-performing production AI and ML products.


Implement and uphold responsible AI development practices to ensure ethical, transparent, and fair usage of AI technologies.


location: Chicago, Illinois
job type: Permanent
salary: $148,000 - 211,000 per year
work hours: 9am to 4pm
education: Bachelors
responsibilities:

The Senior Product Manager is responsible for leading the planning, development and management of AI-driven products and services within the firm. This role involves overseeing the entire product lifecycle, from ideation to execution and launch, ensuring that AI products meet market demands and deliver high value to customers. This role blends expertise in artificial intelligence, product management, and leadership to ensure the successful execution of AI initiatives aligned with business goals. The Senior Product Manager will collaborate closely with internal teams, including legal stakeholders, engineering, IT, knowledge management, and marketing, to create innovative AI solutions that drive business outcomes.


Duties and Responsibilities:



  • Define and drive the product strategy and roadmap for AI-powered solutions in alignment with the firm's goals.

  • Maintain a robust roadmap for AI products, balancing near-term customer needs with long-term vision.

  • Stay informed of advancements in AI/ML technologies, cloud infrastructures, and software development methodologies to inform product decisions and foster innovation.

  • Stay abreast of AI trends, customer feedback, and the competitive landscape to identify growth opportunities and maintain a competitive edge.

  • Identify opportunities to integrate AI across the firm's application and product portfolio.

  • Manage the lifecycle of AI products, including ideation, development, launch, and iteration.

  • Influence leadership on issues within the professional discipline and foster cross-departmental collaboration to ensure the successful execution of AI initiatives.

  • Define and prioritize product features based on customer needs, market research, and technical feasibility.

  • Foster cross-departmental collaboration to ensure seamless delivery of AI projects.

  • Collaborate with key stakeholders to understand their AI workloads, pain points, and future requirements.

  • Collaborate with stakeholders to establish product goals, KPIs, and success metrics.

  • Engage with stakeholders to gather insights and feedback on AI solutions.

  • Ensure that AI-driven products address real-world problems and provide measurable value.

  • Develop creative solutions and make improvements to processes, programs, and policies to enhance the effectiveness and efficiency of AI-driven products.

  • Oversee the integration of AI models into various workflows, ensuring high-performing production AI and ML products.

  • Implement and uphold responsible AI development practices to ensure ethical, transparent, and fair usage of AI technologies.


Education and/or Experience:

Required:



  • Bachelor's degree in Computer Science, Engineering, or a related field

  • A minimum of 5 years of experience in product management or product development leadership

  • Experience with agile methodologies and product management tools

  • Demonstrated ability to make data-driven decisions


Preferred:

  • Master's degree in Computer Science, Engineering, or a related field

  • Juris Doctor degree


Other Skills and Abilities:

The following will also be required of the successful candidate:



  • Strong organizational skills

  • Strong attention to detail

  • Good judgment

  • Strong interpersonal communication skills

  • Strong analytical and problem-solving skills

  • Able to work harmoniously and effectively with others

  • Able to preserve confidentiality and exercise discretion

  • Able to work under pressure

  • Able to manage multiple projects with competing deadlines and priorities


qualifications:

Education and/or Experience:


Required:


Bachelor's degree in Computer Science, Engineering, or a related field


A minimum of 5 years of experience in product management or product development leadership


Experience with agile methodologies and product management tools


Demonstrated ability to make data-driven decisions


Preferred:


Master's degree in Computer Science, Engineering, or a related field


Juris Doctor degree


Other Skills and Abilities:


The following will also be required of the successful candidate:


Strong organizational skills


Strong attention to detail


Good judgment


Strong interpersonal communication skills


Strong analytical and problem-solving skills


Able to work harmoniously and effectively with others


Able to preserve confidentiality and exercise discretion


Able to work under pressure


Able to manage multiple projects with competing deadlines and priorities


The hiring manager is looking for an experienced enterprise Product Manager who understands AI, rather than a deeply technical AI engineer who transitioned into Product Management.Core Product Management Skills- Owns products from ideation through launch- Creates product strategy and roadmap- Writes user stories and manages product backlogs- Works closely with design and engineering teams- Strong executive presence and stakeholder management- Excellent written and verbal communication- Results-oriented with measurable business outcomes- Can clearly articulate problems, solutions, and product impactAI Experience - Candidates should have practical AI product exposure and be comfortable discussing:- AI-powered product development- LLMs (Claude, ChatGPT, Anthropic, etc.)- Prompt engineering- AI product architecture- AI product tradeoffs and implementation- Experience shipping AI features is strongly preferredCurrent AI technologies we use today:- Claude- Anthropic- ChatGPT- Internal AI tools- Databricks- Enterprise data architecturePreferred Industry Background- Legal Technology (Relativity, Litera, iManage)- Professional Services- Financial Services- Enterprise B2B SaaS- Healthcare AI- Enterprise software organizations


skills:

Agile methodologies,AI Experience,AI,AI features,data-driven,Enterprise software,ChatGPT,Healthcare AI,Computer Science,Jira,LLMs,Legal Technology,product management tools,Prompt engineering,AI product,Excellent written and verbal communication,leadership,Results-oriented,architecture,shipping,Financial Services,legal experience,p


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