Senior Manager, AI Transformation and Enablement

BillingPlatform

Senior Manager, AI Transformation & Enablement at BillingPlatform transforming processes through AI adoption. Collaborating across teams to enhance productivity with innovative AI solutions.

Posted 6/11/2026full-timeEnglewood • Colorado • 🇺🇸 United StatesSenior💰 $125,000 - $175,000 per yearWebsite

About the role

Key responsibilities & impact

Partner with leaders across departments to identify, prioritize, and implement high-impact AI use cases that improve business outcomes.
Build, test, and deploy AI-powered workflows, automations, agents, and productivity solutions using modern AI tools and platforms.
Evaluate existing processes and redesign workflows to improve efficiency, scalability, and employee experience.
Establish and maintain AI best practices, governance guidelines, and adoption frameworks that support responsible and effective use of AI across the organization.
Create and deliver training programs, workshops, documentation, and enablement resources to increase AI literacy and adoption.
Coach teams to build and maintain their own AI-enabled workflows, creating sustainable capabilities across the business.
Measure and communicate the impact of AI initiatives through productivity gains, cycle-time reductions, cost savings, and other business metrics.
Partner with employees and leaders to drive change management efforts, build trust, and encourage thoughtful experimentation with AI.
Identify opportunities to scale successful use cases across multiple functions and share best practices throughout the organization.
Serve as BillingPlatform's internal "Customer Zero," helping ensure the company leverages AI internally in ways that align with and strengthen its product vision.
Collaborate with Product, Engineering, and business leaders to share insights and feedback that inform future AI capabilities and investments.
Stay current on emerging AI technologies, trends, and tools, and recommend practical applications that create measurable value for the business.

Requirements

What you’ll need

5 - 8+ years of experience in management consulting, business transformation, operations, technology, or related field.
Experience leading digital transformation, process improvement, AI adoption, or business operations initiatives within a SaaS, technology, or high-growth organization.
Demonstrated ability to translate technology investments and process improvements into measurable business outcomes.
Hands-on experience building AI-powered workflows, automations, agents, or productivity solutions using tools such as ChatGPT, Claude, Microsoft Copilot, or similar platforms.
Strong understanding of generative AI concepts, large language models, agentic AI, and practical business applications.
Experience driving cross-functional initiatives and influencing stakeholders at multiple levels of the organization.
Ability to balance strategic thinking with hands-on execution in a fast-paced environment.
Strong communication, facilitation, training, and presentation skills.
Experience developing frameworks, processes, or governance models that support scalable adoption of new technologies.
Demonstrated ability to navigate ambiguity, prioritize effectively, and deliver results.
Passion for continuous learning, experimentation, and helping others adopt new capabilities.

Benefits

Comp & perks

Be part of the fastest-growing companies in the United States
Receive competitive compensation that includes a robust benefits package - medical, dental, vision, life and disability, HSA, FSA, and many perks related to health and wellness provided by our medical carriers
401(k) match that is 100% immediately vested
Discretionary and charitable time off program

ATS Keywords

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Hard Skills & Tools

AI-powered workflowsautomationsagentsproductivity solutionsprocess improvementdigital transformationgenerative AIlarge language modelsAI adoptiongovernance models

Soft Skills

strategic thinkinghands-on executioncommunicationfacilitationtrainingpresentationinfluencing stakeholdersnavigating ambiguityprioritizationcontinuous learning