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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Who we are
We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in?
The Team
Why will you enjoy this new opportunity?
You will sit at the intersection of Product, IT, and the broader business, helping the team focus on the highest-value work. This role combines classic technical product management with hands-on Enterprise AI delivery: you will create clarity from intake, shape roadmaps, communicate tradeoffs, and personally test and validate the automations and agents that improve how work gets done. You will partner with technical and business leaders in a fast-moving environment where thoughtful experimentation and operational rigor matter.
The Role
What type of work will you be doing:
- Own the project and product intake process for Enterprise AI and IT; create lightweight standards for requests, discovery, prioritization, sizing, and decision-making.
- Maintain and communicate a clear roadmap across IT platforms, internal tools, AI capabilities, and automation initiatives; make dependencies, risks, milestones, and tradeoffs visible.
- Lead cross-functional initiatives from problem definition through launch and adoption, coordinating Engineering, IT, Security, Data, Legal/Compliance, Operations, and business stakeholders.
- Translate business pain points into well-defined opportunities, requirements, user stories, success measures, acceptance criteria, and delivery plans.
- Identify, evaluate, and lead Enterprise AI use cases, including workflow automation, knowledge assistants, copilots, and task-oriented agents.
- Be hands-on with AI automation and agents: design test scenarios, create representative test data, evaluate accuracy, reliability, and safety, document findings, and drive improvements before release.
- Establish practical validation and monitoring approaches for prompts, tools, permissions, data access, human-in-the-loop controls, and failure modes.
- Coordinate pilots and rollouts; manage change communications, enablement, documentation, and feedback loops so solutions are adopted and produce measurable value.
- Provide concise executive and stakeholder communications on progress, decisions, outcomes, and risks; partner with IT on platform and vendor evaluations, integrations, incident follow-up, and operational readiness.
What You'll Bring
Your experience and strengths:
- 5+ years of product management, technical program management, business systems, IT, or related experience, with a track record of delivering cross-functional technology initiatives.
- Experience running AI enablement and transformation initiatives from pilot to production.
- Curiosity, pragmatism, and a builder mindset; willing to get into the details, learn new tools quickly, and improve the system after every iteration.
- Experience managing an intake process and roadmap across multiple stakeholders, balancing strategic priorities with urgent operational needs.
- Working knowledge of enterprise IT concepts, SaaS applications, integrations and APIs, identity and access management, data flows, security, and change management.
- Hands-on experience evaluating AI products, automation workflows, or agents; comfortable testing real scenarios, probing edge cases, and separating demos from dependable solutions.
- Strong understanding of AI quality and risk considerations, including accuracy, groundedness, privacy, permissions, security, reliability, observability, and human oversight.
- Ability to turn ambiguous business problems into clear product requirements, experiments, acceptance criteria, and measurable outcomes.
- Strong written and verbal communication skills; able to tailor a message for executives, technical teams, and business users.
- Strong judgment, organization, and follow-through; comfortable making progress with incomplete information and changing priorities.
- Experience in a startup, high-growth, or software/SaaS company is ideal.
Language for US is"The estimated gross base annual salary range for this role is 101 000 - 127 000 USD per year in New York, California, Washington, Colorado, and Rhode Island. Actual compensation may vary and is dependent on various factors, including a candidate’s work location, qualifications, experience, and competencies. Base annual salary is one component of Redis’ total compensation and competitive benefits package, which may include 401(k), unlimited time off, learning and development opportunities, and comprehensive health and wellness benefits. This role may include discretionary bonuses, stock options, commuter benefits based on location, or a commission plan. Salary history is not used in compensation package decisions. Redis utilizes market pay data to determine compensation, so posted compensation ranges are subject to change as new market data becomes available." (
As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.
Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws.
Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.
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.
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Find AI Product Engineer JobsAI Product Engineer Job Market
Who's Hiring
- American Heart Association112

- CVS Health61

- Google31

- JPMorganChase27

- 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