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Gen Ai Product Manager Jobs (NOW HIRING)

Scale AI

Product Manager, Gen AI

Manhattan, NY · On-site

They are seeking a Product Manager for their Gen AI organization to lead the strategy and execution of products that shape AI model quality and enhance the contributor ecosystem. Responsibilities ...

Scale AI

Product Manager, Gen AI

Manhattan, NY · On-site

They are seeking a Product Manager for their Gen AI organization, responsible for shaping systems and products that serve both demand-side customers and supply-side contributors in the AI data ...

Tech Rakers

Product Owner, Exton, PA (Hybrid)

Exton, PA · On-site

Capture and define Agentic AI / Gen AI use case requirements * Build and manage AI product roadmap * Work closely with AI engineers, architects, and ERP teams to deliver solutions * Drive end-to-end ...

Nastech Global

GEN AI Architect

Charlotte, NC · On-site

GEN AI Architect Location: Charlotte, NC(Onsite) Job Type: Full Time Worked on Agentic AI Wokrflows ... Proven experience in collaborating with cross-functional teams, including product managers ...

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Gen Ai Product Manager information

See salary details

$51.5K

$159.4K

$197K

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

As of Jul 29, 2026, the average yearly pay for gen 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 the difference between Gen Ai Product Manager vs Data Scientist?

AspectGen Ai Product ManagerData Scientist
Required CredentialsBackground in product management, AI knowledge, technical understandingDegree in data science, statistics, or related field; programming skills
Work EnvironmentCross-functional teams, product development, AI integrationData analysis, model development, statistical research
Employer & Industry UsageTech companies, AI startups, product-focused organizationsResearch institutions, tech firms, analytics departments

The main difference is that a Gen Ai Product Manager focuses on guiding AI product development and strategy, while a Data Scientist primarily analyzes data and builds models. Both roles require technical knowledge, but the Product Manager emphasizes product lifecycle and user needs, whereas the Data Scientist concentrates on data analysis and model accuracy.

How does a Gen AI Product Manager typically collaborate with engineering and data science teams during product development?

A Gen AI Product Manager works closely with engineering and data science teams to define product requirements, set development priorities, and ensure alignment between business goals and technical feasibility. They facilitate regular cross-functional meetings to discuss progress, address challenges, and adjust project timelines as needed. Effective communication is key, as the Product Manager translates user needs into actionable tasks and helps resolve any roadblocks, ensuring the product leverages generative AI capabilities while meeting user expectations.

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

To thrive as a Gen AI Product Manager, you need a strong background in product management, AI technologies, and data-driven decision-making, often supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks, cloud platforms, and tools like Python, TensorFlow, or PyTorch, as well as certifications such as PMP or Agile, is highly valuable. Excellent communication, stakeholder management, and strategic thinking set standout professionals apart in this role. These skills ensure the successful development and delivery of innovative AI products that meet business objectives and market needs.

What does a Gen AI Product Manager do?

A Gen AI Product Manager is responsible for guiding the development and launch of products that use generative artificial intelligence technologies. They work closely with engineering, design, data science, and business teams to define product strategy, gather requirements, and prioritize features. Their role involves understanding market needs, ensuring ethical AI use, and delivering innovative solutions that leverage generative AI capabilities. They also monitor product performance and iterate based on user feedback and technological advancements.
More about Gen Ai Product Manager jobs
What cities are hiring for Gen Ai Product Manager jobs? Cities with the most Gen Ai Product Manager job openings:
What states have the most Gen Ai Product Manager jobs? States with the most job openings for Gen Ai Product Manager jobs include:
What job categories do people searching Gen Ai Product Manager jobs look for? The top searched job categories for Gen Ai Product Manager jobs are:
Gen Ai Product Manager jobs near you
Infographic showing various Gen 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.
Product Manager, Gen AI

Product Manager, Gen AI

Scale AI

Manhattan, NY • On-site

Full-time

Posted 25 days ago

Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

78th of 246 rated software companies

Job description

Job Summary:
Scale AI builds the data infrastructure that powers the world’s most advanced AI. They are seeking a Product Manager for their Gen AI organization to lead the strategy and execution of products that shape AI model quality and enhance the contributor ecosystem.
Responsibilities:
• Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact
• Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design
• Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users
• Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities
• Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation
• Establish business cases and projected return on investment to identify and prioritize opportunities
• Partner with finance and business leaders to manage impact on the profitability and growth of the overall business
• Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners
Qualifications:
Required:
• 4–10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4–6 yrs, L5: 6–8 yrs, L6: 8–10+ yrs)
• Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments
• Experience translating complex technical systems into clear product strategies — comfort engaging deeply with engineering and data science teams
• Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences
• Experience building products from the ground up and iterating through the scaling journey of a business
• Bachelor’s or advanced degree in a quantitative, engineering, or related discipline
Preferred:
• Experience in AI/ML, data infrastructure, or marketplace businesses
• Strong understanding of the AI landscape — model training workflows, data labeling, evaluation, and deployment
• Experience with global payment systems, contributor/gig-economy platforms, or trust & safety domains
• Experience working at high-growth startups or scaling consumer/enterprise platforms
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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