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Learning Development Program Manager Jobs in Las Vegas, NV

TensorWave

Technical Program Manager

Las Vegas, NV · On-site

$123K - $159K/yr

... development, ensuring alignment across engineering, product, and operations teams * Define program ... Manage program timelines, dependencies, and resource allocation across multiple concurrent ...

US Bank

National Sales Program Manager

Las Vegas, NV · On-site

$133K - $156K/yr

Participates in the identification, design, development and implementation of assigned projects ... Manages performance of the project team and evaluates overall team performance. Basic ...

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All JobsLearning Development Program JobsLearning Development Program Manager JobsLearning Development Program Manager Jobs in Las Vegas, NV

Learning Development Program Manager information

See Las Vegas, NV salary details

$28.7K

$91.9K

$164.3K

How much do learning development program manager jobs pay per year?

As of Jul 30, 2026, the average yearly pay for learning development program manager in Las Vegas, NV is $91,853.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,300.00 and $101,200.00 per year, depending on experience, location, and employer.

What is the difference between Learning Development Program Manager vs Training Coordinator?

AspectLearning Development Program ManagerTraining Coordinator
ResponsibilitiesDesigning, implementing, and overseeing learning programs and development initiativesOrganizing and scheduling training sessions, managing logistics
Required SkillsCurriculum design, project management, leadershipCommunication, organization, coordination
CertificationsLearning & Development certifications (e.g., CPLP), project managementTraining certifications, CPR/First Aid (if applicable)
Work EnvironmentCorporate training departments, educational institutionsHR departments, training centers

The Learning Development Program Manager focuses on creating and managing comprehensive learning strategies, while the Training Coordinator handles the logistics of training sessions. Both roles require strong organizational skills, but the Program Manager typically has a broader scope and strategic responsibilities.

What is a Learning Development Program Manager?

A Learning Development Program Manager is a professional responsible for designing, implementing, and managing training and development programs within an organization. They assess the learning needs of employees, create educational materials or programs, and measure the effectiveness of training initiatives. Their goal is to enhance employee skills, improve job performance, and support organizational growth by fostering a culture of continuous learning.

How does a Learning Development Program Manager typically collaborate with subject matter experts to create effective training programs?

Learning Development Program Managers often work closely with subject matter experts (SMEs) to ensure that training content is accurate, relevant, and aligned with organizational goals. This collaboration usually involves conducting needs assessments, co-designing curriculum, and reviewing training materials for technical accuracy. Program Managers facilitate regular meetings and feedback sessions with SMEs to refine content and adapt to learner feedback. Building strong relationships and clear communication with SMEs is key to delivering impactful learning experiences.

What are the key skills and qualifications needed to thrive as a Learning Development Program Manager, and why are they important?

To thrive as a Learning Development Program Manager, you need expertise in instructional design, project management, and adult learning principles, often supported by a bachelor’s or master’s degree in education, HR, or a related field. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and relevant certifications like CPLP or ATD are typically required. Strong communication, leadership, and analytical skills help you collaborate across teams and tailor programs to organizational needs. These skills and qualities are crucial to designing effective learning solutions that drive employee growth and achieve business objectives.
What are popular job titles related to Learning Development Program Manager jobs in Las Vegas, NV? For Learning Development Program Manager jobs in Las Vegas, NV, the most frequently searched job titles are:
What job categories do people searching Learning Development Program Manager jobs in Las Vegas, NV look for? The top searched job categories for Learning Development Program Manager jobs in Las Vegas, NV are:
What cities near Las Vegas, NV are hiring for Learning Development Program Manager jobs? Cities near Las Vegas, NV with the most Learning Development Program Manager job openings:
Learning Development Program Manager jobs near you
Infographic showing various Learning Development Program Manager job openings in Las Vegas, NV as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $91,853 per year, or $44.2 per hour.

Technical Program Manager

TensorWave

Las Vegas, NV • On-site

$123K - $159K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 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.