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Entry Level Ai Product Manager Jobs (NOW HIRING)

AI Product Manager

Watertown, MA · On-site

$154K - $263K/yr

The Role AI Product Manager This role will drive development of Dyno's AI products for biological design. You'll work across modeling, software, and experimental validation to build systems that ...

AI Product Manager

Watertown, MA · On-site +1

$154K - $263K/yr

The Role AI Product Manager This role will drive development of Dyno's AI products for biological design. You'll work across modeling, software, and experimental validation to build systems that ...

$93K - $123K/yr

Zof AI is seeking a Senior AI Product Manager to own product decisions where model behavior meets business value. This role owns the trade-offs that define AI products: cost versus quality versus ...

Senior AI Product Manager

San Francisco, CA · On-site

$149K - $196K/yr

Zof AI is seeking a Senior AI Product Manager to own product decisions where model behavior meets business value. This role owns the trade-offs that define AI products: cost versus quality versus ...

La posizione di AI Product Manager ha la responsabilità di assicurare che i prodotti e servizi basati su sistemi di AI siano sviluppati e implementati per soddisfare le esigenze degli utenti e ...

About the Role We are looking for an AI‑focused Product Manager to own one of the most critical ... You should be comfortable using AI tools to accelerate your own work and excited about embedding AI ...

AI Product Manager

Boston, MA · On-site

$120K - $135K/yr

Manage work in GitHub and hand off validated builds to the AI Engineering Pod for production hardening. * Connect AI capabilities to our existing stack, including Slack, HubSpot, Jira, Salesforce ...

About the Role We are looking for an AI-focused Product Manager to own one of the most critical experiences in our platform: provider onboarding and activation. This is not a traditional PM role. You ...

You'll own an AI-native product end to end - not manage a backlog, not shepherd someone else's roadmap. You work closely with AI Labs' product leader, who sets the broad direction, but everything ...

About the Role We are looking for an AI-focused Product Manager to own one of the most critical experiences in our platform: provider onboarding and activation. This is not a traditional PM role. You ...

About the Role We are looking for an AI-native Product Manager to help build the next generation of consumer interactive experiences. This role is for someone who combines strong consumer product ...

... AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. About the role The Product Manager II will ...

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Entry Level Ai Product Manager information

See salary details

$51.5K

$159.4K

$197K

How much do entry level ai product manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for entry level ai 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 is an entry level AI product manager?

An Entry Level AI Product Manager is a professional who helps guide the development and launch of artificial intelligence (AI) products. They work closely with engineering, design, and business teams to define product requirements, track progress, and ensure that AI solutions meet user and business needs. While they may not have deep technical expertise, they are expected to understand basic AI concepts and communicate effectively between technical and non-technical stakeholders. Their responsibilities often include market research, gathering user feedback, and prioritizing features under the supervision of more experienced product managers.

What are the key skills and qualifications needed to thrive as an entry level AI product manager?

To thrive as an Entry Level AI Product Manager, you need a foundational understanding of product management principles, basic knowledge of AI concepts, and often a degree in business, engineering, or a related field. Familiarity with tools like Jira, product analytics platforms, and basic data analysis software, as well as exposure to machine learning frameworks, is valuable. Strong communication, problem-solving, and cross-functional collaboration skills help you bridge the gap between technical teams and business stakeholders. These skills ensure effective product development, alignment with user needs, and successful delivery of AI-driven solutions.

What are some common challenges faced by entry level AI product managers, and how can they overcome them?

Entry level AI Product Managers often encounter challenges such as bridging the gap between technical teams and business stakeholders, understanding complex AI concepts, and managing projects with rapidly evolving requirements. To overcome these challenges, it's important to develop strong communication skills, actively seek mentorship from experienced product managers or data scientists, and stay up-to-date with AI industry trends. Being proactive in asking questions and participating in cross-functional meetings can also help you gain confidence and build the knowledge needed to make informed decisions.

What is the difference between Entry Level Ai Product Manager vs Data Analyst?

AspectEntry Level Ai Product ManagerData Analyst
Required CredentialsBachelor's in Business, Computer Science, or related field; familiarity with AI conceptsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentCollaborates with cross-functional teams to develop AI productsAnalyzes data to support business decisions
Employer & Industry UsageTech companies, startups, AI-focused organizationsVarious industries including finance, healthcare, marketing

While both roles involve working with data and technology, an Entry Level Ai Product Manager focuses on developing and managing AI products, requiring knowledge of AI concepts and product lifecycle. A Data Analyst primarily interprets data to inform decisions, with a stronger emphasis on data analysis skills. The roles differ in scope but often overlap in data handling and industry usage.

Does an Entry Level AI Product Manager require experience?

Entry Level AI Product Managers typically do not require extensive experience but should have a foundational understanding of AI concepts, product management principles, and relevant tools like data analysis or project management software. Employers may look for related internships, coursework, or certifications to demonstrate readiness for the role.

How can I become an entry level AI product manager?

To become an entry-level AI product manager, candidates typically need a bachelor's degree in a related field such as computer science, engineering, or business, along with understanding of AI concepts and product management principles. Gaining experience through internships, developing skills in data analysis, project management, and familiarity with tools like JIRA or Agile methodologies can also be beneficial.
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Infographic showing various Entry Level Ai Product Manager job openings in the United States as of September 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

AI Product Manager

Detroit, MI • On-site

Miracle Software Systems, Inc.
IT Services • 1 - 5K employees

Other

Posted 5 days ago


Job description

We are looking for a " AI Product Manager - Customer Experience" position at Detroit, MI

 

Requirement Details:

Job Title: AI Product Manager - Customer Experience

Location: Detroit, MI 
Duration : Long Term 

 
Role Summary
We are seeking an AI Product Manager focused on transforming customer and employee workflows through AI-enabled products. This role requires strong customer engagement, product thinking, project execution, and the ability to independently turn ambiguous business problems into valuable user experiences. 
 
Key Responsibilities
  • Engage directly with customers and stakeholders to understand needs, pain points, and workflows.
  • Conduct user research and translate findings into product requirements and priorities.
  • Identify opportunities to apply AI to improve customer experience and streamline processes.
  • Define product success metrics related to adoption, engagement, retention, usability, and business
  • value.
  • Own the product roadmap, backlog, execution plan, and stakeholder communication.
  • Work closely with engineering, data science, design, and business teams to deliver solutions.
  • Proactively identify problems, recommend solutions, and drive work forward with limited oversight.
  • Manage delivery activities, dependencies, risks, and priorities in the absence of a dedicated project
  • manager.
 
Preferred Qualifications
  • Experience in product management, customer experience, business analysis, or product delivery.
  • Working knowledge of AI products, generative AI, machine learning, RAG, and AI agents.
  • Strong communication, stakeholder management, user research, and facilitation skills.
  • Experience defining and measuring the success of AI-enabled products.
  • Automotive industry or automotive workflow experience is preferred.
  • Comfortable working in an ambiguous, fast-moving product development environment.
  • Curious, proactive, and capable of independently driving outcomes.