AI Revenue Operations Manager

MX Technologies, Inc.•Lehi, UT

1d•Onsite

About The Position

MX is looking for an AI Revenue Operations Manager. This role is responsible for embedding AI-powered tools and workflows across the go-to-market organization, including Revenue, Marketing, Customer Success, and Partnerships. This role focuses on improving productivity, enabling self-service data access, automating reporting, and delivering high-quality customer-facing assets. You will own AI systems, drive adoption, and ensure solutions are scalable, secure, and aligned with business goals.

Requirements

6+ years of experience in Revenue Operations, Sales Operations, Business Systems, or related roles
Hands-on experience with CRM platforms (e.g., Salesforce) and BI tools (e.g., Domo, Tableau, Looker)
Familiarity with AI/LLM tools, prompt engineering, or workflow automation
Strong analytical and problem-solving skills with the ability to translate business needs into technical solutions
Experience managing cross-functional projects and driving adoption of new tools or processes
Ability to prioritize multiple initiatives and deliver measurable outcomes
Strong communication skills and ability to work effectively across teams

Nice To Haves

Experience deploying AI or automation solutions within go-to-market teams
Knowledge of APIs, integrations, and no-code/low-code platforms
Experience building self-service analytics or automated reporting solutions
Familiarity with data governance, security, and compliance best practices
Experience in SaaS or high-growth technology environments

Responsibilities

Identify, prioritize, and deploy high-impact AI use cases across GTM teams
Design and implement AI-powered workflows to improve productivity and reduce manual effort
Enable natural language access to CRM and BI data, improving self-service analytics
Build and maintain automated reporting, dashboards, and visualization workflows
Create and scale AI-generated customer-facing deliverables (e.g., ROI models, business cases, account briefs, proposals)
Own and manage the AI technology stack, including LLM platforms, copilots, and integrations
Partner with RevOps, Business Systems, Security, and Legal to ensure data accuracy, governance, and compliance
Develop and deliver training, documentation, and enablement programs to drive user adoption
Establish feedback loops and continuously improve AI tools, prompts, and workflows
Track and report on adoption, productivity gains, and revenue impact of AI initiatives