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Generative Ai Product Manager Jobs (NOW HIRING)

Product Manager Technical - AI Location: [Location] Tax Term (W2, C2C): W2 / C2C Job Type ... Drive AI/ML, Generative AI, and intelligent automation initiatives. * Define AI evaluation ...

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product, and innovation. This role is about more than just experimenting with AI tools-it's about scaling AI ...

Generative AI Product Manager

Chicago, IL ยท On-site

$165K - $185K/yr

We're looking for a Generative AI Product Manager who thrives at the intersection of data, product, and innovation. This role is about more than just experimenting with AI tools-it's about scaling AI ...

Own the Generative AI product vision and roadmap, with primary focus on Microsoft Copilot across ... Agile product delivery and backlog management * Enterprise productivity tools and workflows * Data ...

AI Product Manager

Centreville, VA ยท Remote

$140K - $150K/yr

AI Product Manager Location-Type: Remote (U.S. Based) Start Date Is: ASAP Employment Type ... Demonstrated experience launching AI or Generative AI products within a B2B SaaS environment

Strong understanding of Generative AI, LLMs, NLP, Machine Learning, and AI product development concepts . * Experience defining product roadmaps, managing product backlogs, and writing detailed user ...

Generative AI Product Owner Be part of something groundbreaking At AIG, we are making long-term ... We will incorporate best-in-class engineering and product management principles and your guidance ...

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Generative Ai Product Manager information

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$51.5K

$159.4K

$197K

How much do generative ai product manager jobs pay per year?

As of Aug 2, 2026, the average yearly pay for generative 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 does a Generative AI Product Manager do?

A Generative AI Product Manager oversees the development and implementation of products that use generative artificial intelligence technologies, such as large language models or image generators. Their responsibilities include defining product strategy, gathering user requirements, collaborating with engineering and data science teams, and ensuring ethical use of AI. They also monitor market trends and user feedback to continuously improve the product. This role requires a blend of technical understanding, business acumen, and communication skills.

What are some common challenges Generative AI Product Managers face when balancing technical feasibility with user needs?

Generative AI Product Managers often face the challenge of aligning innovative AI capabilities with practical user requirements and business objectives. It's common to encounter situations where the latest AI models can produce impressive results, but integrating them into a user-friendly product within budget and ethical guidelines requires careful prioritization and cross-team collaboration. Effective communication with engineers, data scientists, and stakeholders is crucial to ensure that development efforts focus on features that deliver real value while managing risks related to bias, reliability, and scalability. Staying updated on advancements and understanding their implications for your target users is key to overcoming these challenges.

What is the difference between Generative Ai Product Manager vs Data Scientist?

AspectGenerative Ai Product ManagerData Scientist
Required credentialsBackground in AI, product management, or related fields; often requires experience with AI toolsDegree in Data Science, Statistics, Computer Science; proficiency in programming and analytics
Work environmentCollaborates with engineering, design, and business teams to develop AI productsAnalyzes data, builds models, and provides insights primarily through coding and statistical methods
Employer and industry usageTech companies, startups, AI-focused firms developing generative modelsResearch institutions, tech companies, finance, healthcare, using data for insights and decision-making

While both roles involve AI and data, the Generative Ai Product Manager focuses on overseeing AI product development and strategy, working cross-functionally, whereas the Data Scientist primarily analyzes data and builds models to inform business decisions.

What are the key skills and qualifications needed to thrive as a Generative AI Product Manager, and why are they important?

To thrive as a Generative AI Product Manager, you need a solid background in product management, understanding of machine learning concepts, and experience with AI-driven product development, ideally supported by a relevant degree or certifications. Familiarity with tools such as Python, TensorFlow, PyTorch, and platforms like Azure or AWS for deploying AI models is typically expected. Strong soft skills include cross-functional communication, strategic thinking, and the ability to translate technical insights into business value. These skills and qualities are crucial for effectively leading AI product initiatives, aligning technical teams with business goals, and delivering innovative solutions in a rapidly evolving field.
More about Generative Ai Product Manager jobs
What cities are hiring for Generative Ai Product Manager jobs? Cities with the most Generative Ai Product Manager job openings:
What states have the most Generative Ai Product Manager jobs? States with the most job openings for Generative Ai Product Manager jobs include:
Infographic showing various Generative Ai Product Manager job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

AI Product Manager

Apolis

San Diego, CA โ€ข On-site

Other

Posted 11 days ago


Job description

Job Title: Product Manager Technical โ€“ AI

Location: [Location]

Tax Term (W2, C2C): W2 / C2C

Job Type (Permanent/Contract): Contract

Duration: Long Term

Pay Range: DOE

Description:

We are seeking a Technical Product Manager (AI) to lead the strategy, roadmap, and delivery of AI-powered products. The ideal candidate will collaborate with engineering, data science, and business teams to build scalable AI/ML and Generative AI solutions that drive business value while ensuring responsible AI practices.

Role and Responsibilities:
  • Define and own the AI product vision, strategy, and roadmap.
  • Translate business needs into technical product requirements and success metrics.
  • Partner with Engineering, Data Science, Analytics, UX, and Operations to deliver AI-enabled products.
  • Drive AI/ML, Generative AI, and intelligent automation initiatives.
  • Define AI evaluation frameworks, KPIs, A/B testing, and product performance metrics.
  • Prioritize product features using customer feedback, analytics, and business goals.
  • Promote responsible AI practices including security, governance, fairness, and transparency.
Required Skills:
  • Technical Product Management
  • AI / Machine Learning
  • Generative AI (GenAI)
  • LLMs / Agentic AI
  • Product Strategy & Roadmaps
  • Product Requirements (PRDs)
  • APIs & System Integration
  • Cloud Platforms (AWS, Azure, GCP)
  • Data Analytics
  • A/B Testing
  • Product Metrics & KPIs
  • Agile / Scrum
Qualifications:
  • Bachelor''s degree in Computer Science, Engineering, Information Systems, Business, Mathematics, or related field.
  • 5+ years of Product Management or Technical Product Management experience.
  • Experience managing technical products, platforms, or customer-facing applications.
  • Strong experience working with engineering teams, APIs, cloud technologies, and scalable systems.
  • Excellent communication, stakeholder management, and product documentation skills.

Preferred: Experience with AI/ML, Generative AI, LLMs, Amazon Bedrock, AI evaluation frameworks, Responsible AI, and cloud-based AI platforms.