AI Product Engineer Jobs in Texas
AI Product Engineer jobs in Texas are among the most active in the country, with strong demand concentrated in enterprise software, fintech, energy technology, and defense across a range of levels from entry-level associate to senior principal. Austin, Dallas, and Houston lead hiring, anchored by employers like Dell Technologies, Texas Instruments, and Lockheed Martin, all of which have deep, long-standing engineering operations in the state. The most sought-after specialties are LLM integration, MLOps infrastructure, and AI-driven product lifecycle tooling. Find a role that fits 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.
See All 93 AI Product Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Product Engineer JobsAI Product Engineer Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
AI Product Engineer Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software11
- Education4
- Electronics & Hardware2
- Banking & Financial Services2
- Manufacturing1
What Texas Employers Look For
The qualifications that appear most often in AI product engineer jobs across Texas.
- Bachelor's or master's degree in computer science, software engineering, or a related field
- Proven experience building AI or ML features into production software products
- Proficiency with Python and at least one major ML framework such as PyTorch or TensorFlow
- Ability to translate product requirements into model specifications and data pipelines
- Experience working cross-functionally with data scientists, designers, and product managers
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment
AI Product Engineer Jobs in Texas: Frequently Asked Questions
How do you become a ai product engineer in Texas?
Most ai product engineers in Texas start with a bachelor's degree in computer science, software engineering, or a closely related discipline, though some enter through data science or machine learning graduate programs. There is no state-issued license required to work in this role in Texas. Texas employers, particularly in Austin and Dallas, frequently recruit through university partnerships with UT Austin, Texas A&M, and Rice University, and value a portfolio of shipped AI features or open-source ML contributions over credentials alone.
Which companies hire ai product engineers in Texas?
Employers hiring ai product engineers in Texas right now include AMD, American Heart Association, and Mirantis, based on current listings on Migrate Mate as of September 2026. Texas's concentration of Fortune 500 headquarters, major defense contractors, and fast-growing fintech companies means hiring activity is distributed well beyond the Austin tech corridor.
Which Texas cities have the most ai product engineer jobs?
Austin, Houston, and Dallas have the most ai product engineer openings in Texas. Austin's dense startup and enterprise software ecosystem drives the bulk of listings, while Dallas benefits from a large concentration of financial services and telecommunications firms, and Houston adds demand from energy technology companies and health systems investing in AI-powered products.
Are there remote ai product engineer jobs in Texas?
Yes, and more than most fields. About 77% of ai product engineer openings tied to Texas are remote or hybrid as of September 2026, reflecting how much of the work centers on code, model iteration, and cross-functional collaboration that travels well. The parts of the role most amenable to fully remote arrangements are model evaluation, prompt engineering, and API integration work, while on-site expectations tend to apply to roles embedded in hardware or defense programs.
How can I get hired as a ai product engineer in Texas with little or no experience?
The most realistic entry path is a rotational new-graduate program at a large Texas employer, where you contribute to AI product teams under senior engineers before taking ownership of features. Dell Technologies, Texas Instruments, and major Texas health systems run structured new-grad engineering cohorts that include AI product tracks. Candidates without direct experience gain an edge by building a portfolio on GitHub, completing an ML specialization through an accredited program, and targeting associate product engineer or ML engineer I roles, which serve as the standard on-ramp at Texas-based tech and enterprise firms.
Where can I find and apply to ai product engineer jobs in Texas?
You can find and apply to ai product engineer jobs in Texas on Migrate Mate, which lists current openings from Texas employers. Search the listings, find roles that match your experience and target location, and apply directly to the ones that fit.
See All 93 AI Product Engineer Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find AI Product Engineer Jobs