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Leadership Program Manager Jobs in Nevada (NOW HIRING)

TensorWave

Technical Program Manager

Las Vegas, NV · On-site

$123K - $159K/yr

Manage program timelines, dependencies, and resource allocation across multiple concurrent ... Translate complex technical tradeoffs into clear business implications for executive leadership and ...

AECOM

Program Manager - Mine Closure

Las Vegas, NV · On-site

This role requires a strong blend of strategic leadership, technical understanding, commercial acumen, and exceptional stakeholder management capabilities. Key Responsibilities Program Leadership

AECOM

Program Manager - Mine Closure

Las Vegas, NV · On-site

$160K - $200K/yr

This role requires a strong blend of strategic leadership, technical understanding, commercial acumen, and exceptional stakeholder management capabilities. Key Responsibilities Program Leadership

Ormat

Program Manager, New Technologies

Reno, NV · On-site

Serve as a primary point of contact for internal leadership, external partners, contractors, and ... program objectives. * Incorporate existing Project Management tools and processes (i.e. risk ...

Ormat

Program Manager, New Technologies

Reno, NV

Serve as a primary point of contact for internal leadership, external partners, contractors, and ... program objectives. * Incorporate existing Project Management tools and processes (i.e. risk ...

DSV A/S

Manager Program Support

Henderson, NV · On-site

$87K - $91K/yr

As a global leader, our commitment to sustainable business practices is a central element of our ... Manager, Program Support-Builds West Time Type: Full Time POSITION SUMMARY DSV is growing rapidly ...

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Leadership Program Manager information

See Nevada salary details

$38.2K

$115.5K

$182K

How much do leadership program manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for leadership program manager in Nevada is $115,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $148,600.00 per year, depending on experience, location, and employer.

What is a leadership program manager?

A Leadership Program Manager is a professional responsible for designing, implementing, and overseeing leadership development programs within an organization. They identify leadership needs, create training initiatives, and evaluate program effectiveness to ensure employees are equipped to take on leadership roles. Their work often involves collaborating with senior leaders, managing budgets, and analyzing outcomes to align leadership development with business goals. This role is crucial for fostering a strong leadership pipeline and supporting organizational growth.

What is the average salary for a leadership program manager?

The average salary for a leadership program manager typically ranges from $70,000 to $120,000 annually, depending on experience, industry, and location. Senior roles or those in large organizations may offer higher compensation, often including benefits and bonuses.

What are some common challenges faced by leadership program managers when implementing new leadership development initiatives?

Leadership Program Managers often encounter challenges such as securing stakeholder buy-in, aligning program objectives with organizational goals, and measuring the long-term impact of their initiatives. Additionally, adapting programs to accommodate diverse learning styles and busy schedules of participants can be difficult. Collaborating closely with HR, senior leaders, and cross-functional teams is crucial for overcoming these obstacles and ensuring program success.

What is the difference between Leadership Program Manager vs Training Coordinator?

AspectLeadership Program ManagerTraining Coordinator
CredentialsBachelor's degree; often advanced degrees in management or related fieldsBachelor's degree; certifications in training or education beneficial
Work EnvironmentCorporate offices, leadership development programsTraining departments, educational settings
Employer & IndustryCorporations, nonprofits, government agenciesEducational institutions, corporate training departments
Primary FocusDesigning and managing leadership development initiativesOrganizing and delivering training sessions and workshops

The Leadership Program Manager focuses on developing leadership initiatives and managing programs to cultivate leadership skills, while the Training Coordinator handles the logistics and delivery of training sessions. Both roles require strong communication skills, but the Program Manager emphasizes strategic planning and program oversight, whereas the Coordinator concentrates on execution and training delivery.

What are the key skills and qualifications needed to thrive as a leadership program manager?

To thrive as a Leadership Program Manager, you need expertise in program development, project management, and adult learning principles, often supported by a bachelor’s or master’s degree in human resources, organizational development, or a related field. Familiarity with learning management systems (LMS), data analytics tools, and certifications like PMP or SHRM-CP are commonly required. Outstanding communication, relationship-building, and strategic thinking skills set top performers apart in this role. These capabilities are crucial for designing impactful programs, engaging stakeholders, and ensuring organizational leadership growth.
Leadership Program Manager jobs near you

Technical Program Manager

TensorWave

Las Vegas, NV • On-site

$123K - $159K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 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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