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Ai Program Manager Jobs in Nevada (NOW HIRING)

TensorWave

Technical Program Manager

Las Vegas, NV · On-site

$123.20K - $159.50K/yr

Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We're looking for a Technical Program Manager to join our team during an exciting phase of growth. In ...

TensorWave

Technical Program Manager

Las Vegas, NV · On-site

$123.20K - $159.50K/yr

Because breakthrough AI should move at the speed of ideas, not infrastructure. About the Role We're looking for a Technical Program Manager to join our team during an exciting phase of growth. In ...

Maxana

Senior Technical Program Manager

Las Vegas, NV · On-site +1

$65 - $85/hr

A strong history of technical work with machine learning software and AI is required In short, you ... Manage complex programs from planning to implementation to delivery * Drive accountability and ...

Google

Data Center Construction Program Manager

Reno, NV · On-site

$120.60K/yr

As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to ... The AI and Infrastructure team is redefining what's possible. We empower Google customers with ...

CAI

AI Enablement Manager

Carson City, NV · On-site +1

$150K - $160K/yr

If you have strong program management experience, technical fluency across AI and enterprise systems, and proven stakeholder leadership skills, and are looking for your next career move, apply now.

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Ai Program Manager information

See Nevada salary details

$39.2K

$109.4K

$159.9K

How much do ai program manager jobs pay per year?

As of May 28, 2026, the average yearly pay for ai program manager in Nevada is $109,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $134,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Program Manager, and why are they important?

To thrive as an AI Program Manager, you need expertise in project management, a strong understanding of AI concepts, and experience leading cross-functional teams, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, agile methodologies, and certifications such as PMP or Scrum Master are highly valuable. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These abilities ensure projects are delivered on time, align with business goals, and effectively bridge the gap between technical and non-technical teams.

What are some common challenges faced by AI Program Managers when coordinating cross-functional teams?

AI Program Managers often encounter challenges in aligning diverse teams—such as data scientists, engineers, product managers, and business stakeholders—toward shared project goals. Differences in technical backgrounds, communication styles, and priorities can lead to misunderstandings or delays. Successful AI Program Managers proactively facilitate clear communication, set well-defined milestones, and ensure that all team members understand the project's objectives and constraints. Building strong relationships across departments and maintaining adaptability are key strategies for overcoming these challenges.

What is an AI Program Manager?

An AI Program Manager is a professional responsible for overseeing and coordinating the planning, execution, and delivery of artificial intelligence projects within an organization. They work closely with data scientists, engineers, stakeholders, and business leaders to ensure AI initiatives align with business goals and are delivered on time and within budget. Their role often includes managing project timelines, resources, communication, and risk, while also keeping up with industry advancements and ensuring ethical AI practices. AI Program Managers bridge the gap between technical teams and business objectives, ensuring successful implementation of AI solutions.

What is the difference between Ai Program Manager vs Data Scientist?

AspectAi Program ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI projectsBachelor's/Master's/PhD in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentOversees AI projects, collaborates with cross-functional teams, manages timelinesAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Ai Program Manager focuses on overseeing AI initiatives and project management, whereas the Data Scientist concentrates on data analysis and model development. The roles often collaborate but serve different functions within AI projects.

What are popular job titles related to Ai Program Manager jobs in Nevada? For Ai Program Manager jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Ai Program Manager jobs in Nevada look for? The top searched job categories for Ai Program Manager jobs in Nevada are:
What cities in Nevada are hiring for Ai Program Manager jobs? Cities in Nevada with the most Ai Program Manager job openings:
Ai Program Manager jobs near you

Technical Program Manager

TensorWave

Las Vegas, NV • On-site

$123.20K - $159.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

About TensorWave
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
About the Role
We're looking for a Technical Program Manager to join our team during an exciting phase of growth. In this role, you'll be responsible for driving the execution of complex AI infrastructure initiatives, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
What You'll Do
  • Lead cross-functional programs spanning hardware deployment, software infrastructure, and ML platform development, ensuring alignment across engineering, product, and operations teams
  • Define program scope, objectives, and success metrics for AI infrastructure initiatives, from GPU cluster buildouts to inference optimization projects
  • Drive cross-functional roadmap planning and prioritization, balancing immediate customer needs with long-term platform scalability
  • Manage program timelines, dependencies, and resource allocation across multiple concurrent initiatives
  • Translate complex technical tradeoffs into clear business implications for executive leadership and external partners
  • Communicate program status, risks, and blockers through regular updates, maintaining transparency across the organization
  • Identify and mitigate technical and operational risks before they impact delivery timelines or system performance
  • Drive postmortems and retrospectives to capture learnings and continuously improve execution velocity

Who You Are
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience
  • 3+ years of technical program management experience in infrastructure, cloud platforms, or ML/AI systems
  • Strong technical background with ability to engage in architecture discussions around distributed systems, GPU computing, or ML frameworks
  • Proven track record of delivering complex, multi-quarter programs involving hardware and software components
  • Experience managing cross-functional initiatives with engineering, product, and business stakeholders
  • Experience with Jira and implementing Jira workflows to match team processes
  • Excellent written and verbal communication skills, with ability to tailor messaging for technical and non-technical audiences

Preferred Qualifications
  • Experience with AMD GPU architectures (ROCm, Instinct GPUs) or competitive platforms (NVIDIA CUDA, Google TPUs)
  • Background in ML infrastructure, model training/inference pipelines, or MLOps platforms
  • Prior experience at a high-growth startup or in a fast-paced infrastructure organization
  • Hands-on technical experience as a software engineer or systems engineer earlier in career
  • Familiarity with Kubernetes, distributed training frameworks (PyTorch, JAX), or AI workload orchestration

What We Offer
  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance for Employees
  • Company Health Savings Account Contributions
  • 100% paid Short Term and Long Term Disability Insurance for Employees
  • Life and Voluntary Supplemental Insurance Options
  • Other Insurance Options, such as Pet & Legal Insurance
  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • Flexible Spending Account
  • 401(k)
  • Employee Assistance Program
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Other In-Office Perks

Equal Employment Opportunity
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

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