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Vice President Machine Learning Jobs in Colorado

VP of Sales

Denver, CO ยท Remote

VP of Sales Remote: Within the US ABOUT THE ROLE: HiddenLayer is seeking a strategic and execution ... Deep understanding of AI security concepts, including machine learning, threat detection, anomaly ...

... machine-learned bidding algorithms and demand-side platforms on a global scale. In the US ... solutions. VP Digital Sales Denver, CO Full Time COMPENSATION RANGE: 105,000.00 - 125,000.00 ...

VP of Finance

Denver, CO

$225K - $275K/yr

VP of Finance Who: A strong, stable, and rapidly growing manufacturing organization is seeking a ... If you're interested in learning more about this opportunity or would like to discuss your ...

Description The Opportunity Vice President Human Resources, Metro Denver The Vice President, Human ... Collaborate with system HR Centers of Excellence (Total Rewards, HRIS, Talent Acquisition, Learning ...

Description The Opportunity Vice President Human Resources, Metro Denver The Vice President, Human ... Collaborate with system HR Centers of Excellence (Total Rewards, HRIS, Talent Acquisition, Learning ...

Area VP Clinical Operations

Boulder, CO ยท On-site

$150K - $160K/yr

As the Bristol Hospice Area VP of Clinical Operations, you will work closely with the Regional VP ... learning opportunities * Ensure locations are in continuous survey and federal audit prep mode.

Assistant Vice President, Events

Denver, CO ยท On-site +1

$100K - $110K/yr

The Impact You Will Have The Assistant Vice President (AVP), reporting to the Vice President (VP), ... learning new processes. * Courtesy, respect, and thoughtfulness in teaming with colleagues and ...

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Showing results 1-20

Vice President Machine Learning information

See Colorado salary details

$37.3K

$120.6K

$190.9K

How much do vice president machine learning jobs pay per year?

As of Aug 24, 2026, the average yearly pay for vice president machine learning in Colorado is $120,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $150,400.00 per year, depending on experience, location, and employer.

What does a vice president of machine learning do?

A Vice President of Machine Learning leads and oversees the strategic direction of machine learning initiatives within an organization. They manage teams of data scientists, engineers, and researchers to develop and deploy AI-driven solutions that support business goals. This role involves collaborating with other executives, setting research agendas, ensuring best practices, and staying updated with the latest advancements in the field. The VP also plays a key role in resource allocation, talent acquisition, and scaling machine learning systems across the company.

What are the key skills and qualifications needed to thrive as a vice president of machine learning?

To thrive as a Vice President of Machine Learning, you need advanced expertise in machine learning, data science, and computer science, typically backed by a master's or PhD and extensive industry experience. Proficiency with platforms like TensorFlow, PyTorch, cloud computing services, and experience managing large-scale AI projects are crucial, along with a track record in leading technical teams. Exceptional leadership, strategic vision, and strong communication skills set outstanding candidates apart by enabling effective cross-functional collaboration and innovation. These skills are vital for driving organizational AI strategy, ensuring technical excellence, and delivering scalable business impact.

What are some common challenges faced by a vice president of machine learning when leading cross-functional teams?

A Vice President of Machine Learning often encounters challenges such as aligning diverse teams on technical priorities, managing expectations across product, engineering, and business units, and ensuring effective communication between stakeholders with varying levels of technical expertise. Balancing the need for innovation with practical business objectives and resource constraints is also a frequent challenge. Cultivating a collaborative culture and fostering ongoing professional development are key to overcoming these hurdles and driving successful outcomes.

What is the difference between Vice President Machine Learning vs Director of Machine Learning?

AspectVice President Machine LearningDirector of Machine Learning
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in MLSimilar educational background, less senior experience needed
Work EnvironmentStrategic leadership, cross-departmental collaborationProject management, team oversight
Employer & Industry UsageLarge tech firms, enterprises with AI focusTech companies, startups, research labs
Search & Comparison IntentHigh overlap in responsibilities and qualificationsRelated but more operational role

The Vice President Machine Learning typically holds a senior leadership role focused on strategic planning and cross-functional collaboration, while the Director of Machine Learning manages day-to-day projects and teams. Both roles require advanced degrees and experience in machine learning, but the VP is more involved in high-level decision-making and industry strategy.

What are the most commonly searched types of Machine Learning jobs in Colorado?

The most popular types of Machine Learning jobs in Colorado are:

What job categories do people searching Vice President Machine Learning jobs in Colorado look for?

The top searched job categories for Vice President Machine Learning jobs in Colorado are:

What cities in Colorado are hiring for Vice President Machine Learning jobs?

Cities in Colorado with the most Vice President Machine Learning job openings:

VP of Sales

HiddenLayer

Denver, CO โ€ข Remote

Full-time

Posted 5 days ago


Job description

VP of Sales

Remote: Within the USABOUT THE ROLE:

HiddenLayer is seeking a strategic and execution-focused VP of Sales to lead and scale our sales organization through the company's next stage of growth. This leader will own sales performance and revenue execution, build a high-performing and scalable sales organization, and translate company growth objectives into a clear and measurable sales strategy.

Reporting to the CRO, the VP of Sales will combine strategic leadership with operational rigor—developing exceptional sales talent, establishing repeatable processes, improving forecasting and pipeline performance, and ensuring the organization consistently achieves its revenue objectives.
WHO WE ARE:

HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely.

Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.


WHAT YOU'LL DO:
  • Own Revenue Performance: Lead the organization toward achieving and exceeding revenue targets through effective quota setting, pipeline management, forecasting, and sales execution.
  • Develop and Execute Sales Strategy: Translate HiddenLayer's growth objectives into a comprehensive sales strategy, balancing long-term market opportunities with near-term execution and revenue goals.
  • Build and Lead a High-Performing Team: Recruit, develop, and retain exceptional sales talent while establishing a culture of accountability, collaboration, continuous improvement, and consistent performance across geographically distributed teams.
  • Scale the Sales Organization: Design the organizational structure, territories, roles, performance expectations, and operating rhythms required to support continued growth and expansion into new markets.
  • Drive Operational Excellence: Establish and continuously improve scalable, data-driven sales processes, CRM practices, reporting, pipeline management, and forecasting.
  • Lead Through Data: Use sales metrics and market intelligence to identify opportunities, diagnose performance gaps, improve forecast accuracy, and make informed decisions about resources and priorities.
  • Strengthen Go-to-Market Alignment: Partner closely with the CRO and leaders across Marketing, Product, Finance, and other functions to align go-to-market priorities and maximize revenue opportunities.
  • Represent the Voice of the Customer: Bring customer and market insights into strategic discussions, helping influence positioning, go-to-market strategy, and product priorities.
  • Manage Sales Investments: Own the sales budget across compensation, technology, training, travel, and other investments, ensuring resources are deployed effectively and deliver measurable returns.
WHO YOU ARE:
  • Bachelor's degree in Business Administration, Marketing, Computer Science, or a related field; MBA preferred.
  • Proven track record of success in enterprise sales within the cybersecurity or AI technology industry, with a minimum of 7 years of experience.
  • Advanced expertise in sales strategy, sales leadership, and operational execution within a high-growth environment.
  • Deep understanding of AI security concepts, including machine learning, threat detection, anomaly detection, and data protection.
  • Demonstrated success leading and scaling large, geographically dispersed sales teams.
  • Proven ability to consistently deliver against ambitious revenue targets.
  • Strong track record of recruiting, developing, coaching, and retaining high-performing sales talent and leaders.
  • Deep expertise in pipeline management, forecasting, sales metrics, CRM systems, and data-driven performance management.
  • Strong understanding of customers, markets, competitive dynamics, and enterprise go-to-market strategies.
  • Experience building scalable sales processes and organizational structures during periods of rapid growth.
  • Ability to operate strategically while remaining close enough to execution to identify challenges and drive results.
  • Strong cross-functional leadership skills and the ability to influence Product, Marketing, Finance, and executive stakeholders.
ROLE OVERVIEW:

Success in this role will be measured by more than revenue attainment. You will build the sales organization and operating foundation that enables HiddenLayer to scale.

Your leadership will drive sustainable top-line growth, expand market share, strengthen HiddenLayer's market position, and create greater predictability across the revenue organization. You will establish a high-performance sales culture and scalable operating model while ensuring customer and market insights remain central to how HiddenLayer evolves its products and go-to-market strategy.

WHY HIDDENLAYER?

We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures.

Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including:

  • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.
  • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings.
  • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
  • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
  • Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.

To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.

HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.