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Generative Ai Project Manager Jobs in Tyler, TX (NOW HIRING)

... AI researchers to translate experimental models into robust, production-ready solutions; * - Manage ... TechTalks, challenging projects, and a dedicated annual learning budget * - Competitive ...

... management resources, best-of-breed technology, AI tools, an offshore captive, shared back-office ... Contribute to special projects - including tax projections, consulting engagements, and tech ...

... management resources, best-of-breed technology, AI tools, an offshore captive, shared back-office ... Contribute to special projects - including tax projections, consulting engagements, and tech ...

Greenskeeper, Wild Spring Dunes

Enterprise, TX · On-site

$13.75 - $17.50/hr

Ability to manage multiple tasks and solve basic problems Working Conditions * Work hours vary and ... Exposure to fertilizers, pesticides, and other chemicals This is steady work with a new project.

Showing results 21-39

Generative Ai Project Manager information

See Tyler, TX salary details

$36.3K

$96.8K

$152.7K

How much do generative ai project manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for generative ai project manager in Tyler, TX is $96,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $115,900.00 per year, depending on experience, location, and employer.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What are popular job titles related to Generative Ai Project Manager jobs in Tyler, TX?

For Generative Ai Project Manager jobs in Tyler, TX, the most frequently searched job titles are:

What cities near Tyler, TX are hiring for Generative Ai Project Manager jobs?

Cities near Tyler, TX with the most Generative Ai Project Manager job openings:

Infographic showing various Generative Ai Project Manager job openings in Tyler, TX as of June 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $96,760 per year, or $46.5 per hour.

Senior Manufacturing Advisor - Operations/Production/Plant Manager

SaaS Expert

Tyler, TX • On-site

Full-time

Re-posted 7 days ago


Job description

ABOUT US:

Intangible Partners builds practical AI-powered systems that help growing manufacturing companies lift operational efficiency, reduce manual work, and unlock real business value. Our approach starts with understanding real processes, identifying high-impact opportunities, and deploying custom AI agents that deliver measurable results.

We have scaled products from zero to massive adoption, raised venture capital, and turned complex technology into tools customers gladly pay for.


APPLICANT QUALIFICATION QUESTIONS:

* Do you have 2 years+ experience in manufacturing?

* Do you have Manufacturing Leadership Experience? (Operations, Production or Plant)

* Are you familiar with the day-to-day operations and struggles of a typical small to mid-sized manufacturer?


REQUIREMENTS:

* 2+ Years in a Manufacturing Leadership Role

* High Performance Competitive Drive

THE ROLE:

As a Senior Manufacturing Operations Advisor, you will work directly with owners, presidents, and general managers inside high-mix, RFQ-driven manufacturing environments.

Your role is to do what you have done your entire career - just at a much higher level of impact:

* Diagnose where operations are leaking time, money, and trust.

* Identify the real causes behind late orders, margin bleed, and chaos.

* Serve as a trusted operational peer - not a salesperson, not a software pusher.

You will not be "selling AI." You will be helping manufacturers finally fix the problems they have been managing around for years.

And no - you do not need to be an AI engineer.

We have world-class technical talent building the systems. Your value is judgment, credibility, and operational truth.


WHO IS THIS FOR:

This role is for operators who have learned manufacturing the hard way - by living it.

You will thrive here if you deeply understand:

* How production actually breaks under pressure

* Why ERP and automation projects so often fail

* Where spreadsheets quietly destroy margin and visibility

* How change really happens on a shop floor and why forcing it never works

If you have spent years:

* Running plants

* Fixing broken schedules

* Protecting margins in messy environments

* Holding operations together with duct tape, grit, and experience

This role lets you apply that hard-earned expertise to transform manufacturing at scale - without owning the day-to-day firefighting anymore.


COMPENSATION & GROWTH:

This position has no caps on earning.

Your impact, relationships, and results directly shape your upside.

More importantly, this role offers something rare:

* Respect for your experience

* Exposure to elite technical talent

* A seat at the forefront of how AI reshapes manufacturing - the right way


FINAL THOUGHTS:

Manufacturing is entering a once-in-a-generation transition.

AI will either be layered on top of broken systems or guided by people who understand how plants truly operate.

This role exists for the second kind of leader.