Field Systems & AI Lead – RevOps Automation

Komodo Health; United States; Hybrid; USD 155,000 - 225,000; Full time

Benefits offered by this job

Hybrid work model

Supportive team culture

Professional growth opportunities

Job summary

Komodo Health is looking for a Senior Manager, Field Systems & AI to bridge revenue operations and AI technology. In this role, you'll lead productive conversations with Sales leaders, transforming their needs into actionable solutions.

You’ll leverage AI to enhance productivity, supporting a culture of innovation while managing our revenue tech stack. Applicants should have 10 years of experience in revenue operations and a deep understanding of enterprise sales processes. This position supports Komodo's mission of reducing the burden of disease through smarter data usage, operating within a hybrid work model.

Qualifications

• At least 10 years of experience in Revenue Operations or strategic systems consulting.
• Demonstrable experience using AI for task automation.
• Strong understanding of enterprise sales processes.

Responsibilities

• Lead discussions with Sales and RevOps leaders to understand processes.
• Translate requirements into working solutions and prototypes.
• Use AI platforms to automate routine tasks.

Skills

Revenue Operations expertise

AI application

Salesforce management

Data analytics

Programming skills (Python, SQL)

Tools

Salesforce

AI platforms (OpenAI, Claude)

HubSpot

Gong

Clay

Job description

Komodo Health is looking for a Senior Manager, Field Systems & AI to bridge revenue operations and AI technology. In this role, you'll lead productive conversations with Sales leaders, transforming their needs into actionable solutions.

You’ll leverage AI to enhance productivity, supporting a culture of innovation while managing our revenue tech stack. Applicants should have 10 years of experience in revenue operations and a deep understanding of enterprise sales processes. This position supports Komodo's mission of reducing the burden of disease through smarter data usage, operating within a hybrid work model.