AI Product Lead Jobs

AI Product Lead jobs are open across tech, fintech, healthtech, and enterprise software, from associate to director level, with specializations in generative AI, model deployment, and AI platform strategy. Find a role that fits below and apply directly.

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Overview

Open roles1,303+
Top stateCalifornia
Top employerGoogle
Top citySan Francisco, CA
Work type53% Hybrid
Top industryTechnology

Showing 5 of 1,303+ AI Product Lead jobs

The LaCross Artificial Intelligence in Business University Professorship
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New 15h ago
The LaCross Artificial Intelligence in Business University Professorship
University of Virginia
Charlottesville, Virginia
Clinical Trials
Laboratory Research
Research & Academia
Doctoral degree in statistics
10,000+

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Group Product Manager, Generative AI, Google Cloud
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New 15h ago
Group Product Manager, Generative AI, Google Cloud
Google
Austin, Texas
Engineering (Non-Software)
Manufacturing Operations
Quality Assurance & Testing (QA Testing)
Quality Control
$240k - $333k/yr
Master's degree
10,000+

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Senior Director, Marketing AI Content & MLR Product Owner
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New 15h ago
Senior Director, Marketing AI Content & MLR Product Owner
Pfizer
New York, New York
Product Management
Project Management
Technical Product & Program Management
$215k - $358k/yr
Hybrid
Bachelor of Science

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Senior/Staff Technical Product Manager, Agentic AI Transformation
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New 17h ago
Senior/Staff Technical Product Manager, Agentic AI Transformation
Zoox
Foster City, California
Engineering (Non-Software)
Software Engineering
Technical Program Management
$212k - $267k/yr
Hybrid
Bachelor of Science
1,001-5,000

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AI Platform Product Lead
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New 19h ago
AI Platform Product Lead
Ranchflow
San Antonio, Texas
Customer Service
Customer Success
Customer Support
On-Site

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AI Product Lead Job Market

Who's Hiring

  • Google26
  • JPMorganChase26
  • Amazon23
  • Meta20
  • ServiceNow20

Top Industries Hiring

  • Technology & Software18
  • Education3
  • Insurance3
  • Accounting & Auditing3
  • Energy1

What Employers Look For

The qualifications that appear most often in AI product lead jobs.

  • 3 or more years of product management experience with AI or ML products
  • Demonstrated ability to ship AI-powered features end to end in a production environment
  • Experience working directly with data science, ML engineering, or research teams
  • Familiarity with model evaluation, prompt engineering, or retrieval-augmented generation
  • Strong written and verbal communication for technical and non-technical stakeholders
  • Bachelor's degree in computer science, engineering, or a related quantitative field

Tips for Your AI Product Lead Job Search

Reframe your resume around AI outcomes

Hiring managers for ai product lead roles want to see model launches, adoption metrics, and cross-functional delivery, not just roadmap ownership. Lead each bullet with what shipped, what improved, and at what scale.

Signal depth in your AI fluency

Distinguish yourself by naming the model types, evaluation frameworks, or MLOps tooling you have worked with directly. Vague references to 'AI experience' get filtered out fast when reviewers know the technical landscape.

Target roles by AI maturity stage

An early-stage AI team needs someone who can define the problem space and build from scratch. A scaling org needs someone who can operationalize. Read the job description for signals about where the company is and pitch accordingly.

Apply early to roles that fit

Migrate Mate lists ai product lead openings from across the United States in one place, so you can find roles that match and apply directly to each listing.

Prepare a case study for your portfolio

Many ai product lead interviews include a system design or strategy exercise. Walk in with a real example of an AI feature decision you owned, the tradeoffs you weighed, and what the outcome was. Generic case studies rarely land.

Negotiate scope, not just compensation

AI product roles vary enormously in authority over model selection, data access, and research partnerships. Before accepting an offer, ask who owns the model roadmap and what your decision rights actually are on build versus buy.

AI Product Lead Jobs: Frequently Asked Questions

Which companies are hiring the most ai product leads?

Google, JPMorganChase, and Amazon are hiring the most ai product leads right now, with openings concentrated in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is especially strong at companies building foundation model applications or integrating AI into existing enterprise product lines.

How many ai product lead jobs are remote?

About 86% of ai product lead openings are fully remote or hybrid as of November 2026, reflecting the distributed nature of many AI-focused engineering teams. Roles focused on AI strategy, platform roadmapping, and cross-functional coordination tend to offer the most location flexibility, while positions requiring close collaboration with on-site research labs are more likely to require in-person presence.

How do you become an ai product lead?

Start by building a foundation in product management and gaining hands-on exposure to machine learning workflows, even informally. Move into roles where you collaborate directly with data science or ML engineering teams. Develop fluency in model evaluation, data quality tradeoffs, and responsible AI principles. Document the AI features you have shipped, the decisions you owned, and the outcomes that followed, since that portfolio is what hiring teams evaluate.

How do you get hired as an ai product lead with little experience?

Focus on demonstrating AI product thinking rather than a long title history. Contribute to open-source AI tools, build a small AI-powered product of your own, or take on AI-adjacent work within your current role. Emphasize any experience coordinating between technical and business stakeholders, since that cross-functional judgment is what early-career candidates most often undersell in this specific role.

What does the ai product lead interview process look like?

Most ai product lead interviews include a recruiter screen, a hiring manager conversation focused on your product and AI background, a technical or strategy exercise where you are asked to define or prioritize an AI feature, and a panel interview with engineering, design, and business stakeholders. Some companies add a written case study or a presentation on a past AI product decision you owned.

Where can I find and apply to ai product lead jobs?

You can find and apply to ai product lead jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing from the page.

See All 1,303+ AI Product Lead Jobs

Find roles that match your experience and apply in just a few clicks.

Find AI Product Lead Jobs