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.
Find AI Product Engineer JobsLooking for remote work? View remote AI product engineer jobs →Overview
Showing 5 of 1,176+ AI Product Engineer jobs











Product at Uber means making big decisions without perfect information—and owning the outcomes. As a Senior Product Manager (Tech), you will turn massive complexity into clarity at speed, navigating the "messy" reality of multi-sided marketplaces and high-stakes technical integrations. You will be at the heart of our most ambitious missions, architecting solutions that bridge the digital and physical worlds for millions of users globally.
This is a high-visibility, high-impact role where you won’t just manage a roadmap; you will build 0-to-1 platforms that bridge the digital and physical worlds. You’ll need to lead through influence, not control, and stay resilient while balancing the needs of external partners, engineering teams, and global business units. If you are a curious, owner-minded product leader who is energized by challenge and motivated by real-world impact—this is where you’ll grow.
What you’ll do
- Build a bold product vision and strategy for your domain, identifying near and long-term initiatives that unlock the next wave of Uber’s global growth.
- Design and ship scalable technology solutions—including APIs, orchestration layers, and developer tools—to deeply interpret and respond to complex marketplace signals.
- Navigate and align cross-functional teams across Engineering, Data Science, Design, and Legal to drive cohesive product strategies despite competing priorities.
- Translate unstructured user pain points into clear product requirements by distilling complex problems, writing hypotheses, and defining measurable outcomes.
- Forge and manage strategic relationships with external partners, fintechs, or autonomous technology providers to scale deployments and optimize global operations. Iterate relentlessly by distilling insights from performance dashboards, experimentation results, and user research to continuously raise the bar for quality and reliability.
Basic Qualifications
- 6 + years of experience as a Product Manager, with a proven track record of shipping large-scale projects each quarter that yield quantifiable impact.
- Proven ability to convert unstructured problems with significant ambiguity into clarifying, focused plans for multi-team projects.
- Strong technical depth: Able to coordinate large engineering efforts, identify potential technical risks, and act as an effective partner for engineering managers across teams.
- Experience defining OKRs and roadmaps for complex programs/platforms, ensuring teams operate with minimal noise and a rapid clip of high-quality delivery.
- Demonstrated leadership in overseeing deeply experimental teams, partnering with data science managers to drive strong experimentation and data-driven prioritization.
- Proficient in UX/UI paradigms: Ability to own the design process for complex products, providing deep context to designers while driving fast iteration cycles for new concepts.
- Experience representing significant areas of work to executives to gather feedback, generate alignment, and garner support. Education: Bachelor’s Degree in Computer Science, Engineering, Business, or a related technical/quantitative field.
Preferred Qualifications
- Domain expertise in Financial Services, Autonomous Vehicles, or high-scale Marketplace mechanics.
- Passionate about shipping "magical," defect-free products, overseeing quality monitoring, alerting, and retrospective processes.
- Proven recruiter and mentor: Ability to successfully hire for the team and serve as a coveted member of all product interview loops.
- Strategic 0-to-1 experience: Generating innovative ideas for new product areas and incorporating customer feedback into long-term visions. Global experience: Building and launching products that bridge digital and physical worlds across diverse regional contexts.
For San Francisco, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
Ready to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
AI Product Engineer Jobs by Experience Level
Top Cities Hiring AI Product Engineers
Explore AI product engineer openings in the cities hiring most right now.
See All 1,176+ AI Product Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Product Engineer JobsAI Product Engineer Job Market
Who's Hiring
- TikTok32

- Google26

- Meta24

- Amazon21

- JPMorganChase18

Top Industries Hiring
- Technology & Software28
- Banking & Financial Services7
- Retail4
- Education4
- Insurance4
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 TikTok, Google, and Meta, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of November 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 November 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 1,176+ AI Product Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find AI Product Engineer Jobs