AI Product Engineer Jobs

AI Product Engineer jobs are open across technology, fintech, healthtech, and enterprise software, from new-grad to principal and staff levels, with specializations in LLM integration, AI-powered feature development, and model deployment pipelines. Find a role that fits from the openings below and apply directly.

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Overview

Open roles1,227+
Top stateCalifornia
Top employerAmerican Heart Association
Top citySan Francisco, CA
Work type41% Remote
Top industryTechnology

Showing 5 of 1,227+ AI Product Engineer jobs

Redis
Technical Product Manager - Enterprise AI & IT - Austin
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Redis
New 18h ago
Technical Product Manager - Enterprise AI & IT - Austin
Redis
Austin, Texas
Data Science
Health Informatics
Healthcare Administration
Hybrid
1,001-5,000

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Amazon.com
Sr. Product Manager Technical - AI and Automation, Amazon Music
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Amazon.com
New 19h ago
Sr. Product Manager Technical - AI and Automation, Amazon Music
Amazon.com
Redmond, Washington
Customer Service
Customer Support
$151k - $205k/yr
Bachelor's degree
10,000+

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Vanderbilt Health
Enterprise AI Assistant Product Manager (Local / Hybrid)
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Vanderbilt Health
New 19h ago
Enterprise AI Assistant Product Manager (Local / Hybrid)
Vanderbilt Health
Nashville, Tennessee
Cloud & DevOps
IT Support
Project Management
Technical Product & Program Management
Hybrid
Bachelor's degree in business

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Western Governors University
Senior AI / ML Product Manager
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Western Governors University
New 20h ago
Senior AI / ML Product Manager
Western Governors University
Salt Lake City, Utah
Backend Engineering
Full-stack Engineering
Software Engineering
$144k - $223k/yr
On-Site
Doctoral degree
5,001-10,000

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7-Eleven
AI Digital Product Manager III
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7-Eleven
New 20h ago
AI Digital Product Manager III
7-Eleven
Irving, Texas
Product Management
Program Management
Project Management
Bachelor's degree in business
10,000+

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AI Product Engineer Job Market

Who's Hiring

  • American Heart Association
    American Heart Association112
  • CVS Health
    CVS Health61
  • Google
    Google31
  • JPMorganChase
    JPMorganChase27
  • TikTok
    TikTok25

Top Industries Hiring

  • Technology & Software56
  • Insurance13
  • Education7
  • Banking & Financial Services5
  • Non-Profit & Social Services5

What Employers Look For

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

  • Bachelor's or master's degree in computer science, engineering, or a related technical field
  • Hands-on experience building and shipping features that integrate large language models or ML APIs
  • Proficiency in Python and at least one cloud platform such as AWS, Azure, or Google Cloud
  • Familiarity with model evaluation, prompt engineering, and retrieval-augmented generation patterns
  • Experience with product development lifecycle including requirements, iteration, and cross-functional collaboration
  • Understanding of responsible AI principles, model monitoring, and production reliability practices

Tips for Your AI Product Engineer Job Search

Quantify your AI product impact concretely

Listing model accuracy improvements, latency reductions, or feature adoption rates tells hiring managers far more than naming tools. Pull real numbers from your work, even from side projects, to give reviewers something concrete to evaluate against the job's requirements.

Show the product layer, not just the model

Many candidates document ML work but skip the product decisions behind it. Describe the user problem, the tradeoff you made between model complexity and latency, and the outcome for the product. That framing is exactly what AI product engineering roles reward.

Filter openings by deployment environment

AI product engineer roles split sharply between cloud-native, edge, and embedded environments. Narrowing your search to your deployment stack saves time and keeps your resume relevant. Applying to roles outside your environment without addressing the gap rarely works.

Apply early to roles that fit

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

Prepare a live demo for technical screens

AI product engineering interviews frequently include a build-or-extend exercise using a real API or model endpoint. Having a small working project you can walk through and modify in real time shortens your prep time and signals hands-on fluency that a portfolio alone cannot.

Negotiate scope alongside compensation

AI product roles vary enormously in how much ownership you hold over model selection, data pipelines, and roadmap decisions. During offer discussions, clarify exactly which decisions sit with you versus the ML platform or data teams. That scope difference matters as much as title or pay.

AI Product Engineer Jobs: Frequently Asked Questions

Which companies are hiring the most ai product engineers?

The companies hiring the most ai product engineers right now include American Heart Association, CVS Health, and Google, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in technology platforms, enterprise software, and fintech companies actively embedding AI into their core products.

How many ai product engineer jobs are remote?

About 80% of ai product engineer openings are fully remote or hybrid as of September 2026, reflecting how broadly distributed AI product teams have become. Roles focused on LLM integration and API-layer product work tend to be the most remote-friendly, while positions involving on-device or embedded AI more often require on-site presence.

How do you become an ai product engineer?

Start by building a foundation in software engineering, then layer in machine learning fundamentals through coursework or self-study. Build projects that integrate real model APIs into working product features and document the product decisions behind them. Contributing to open-source AI tooling and earning a cloud provider certification strengthens your profile for technical screening.

Can you get an ai product engineer job with little experience?

Yes, candidates break in by shipping demonstrable AI-integrated projects, even outside formal employment. Roles titled junior AI engineer, AI associate product manager, or ML platform engineer often serve as entry points. Showing that you understand the product layer, not just the model, and that you can own a small feature end to end tends to matter more than years of experience at this level.

What does the ai product engineer interview process look like?

Interviews typically move through a recruiter screen, a technical phone round covering Python and ML fundamentals, and a take-home or live coding exercise involving a real model API or product feature. Final rounds usually include a system design session focused on AI-integrated architecture and a cross-functional conversation about product reasoning and tradeoffs with engineering and product leadership.

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

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

See All 1,227+ AI Product Engineer Jobs

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

Find AI Product Engineer Jobs