Remote GTM Engineer - AI-Driven Automation & RevOps

Ladders; United States; Remote; USD 108,000 - 135,000; Full time

Benefits offered by this job

Multiple health insurance options

Flexible time off policy

Retirement savings plan with employer"

Equity options and an Employee Stock/P

Parental leave support

Free therapy sessions and professional

Monthly remote work stipend

Annual development funds

Job summary

Ladders is seeking a GTM Engineer to join a leader in the Finance & Insurance space in a remote US-based role. You will partner with go-to-market, marketing, and revenue operations to turn strategy into scalable technical execution.

Focus on building automation, improving data quality, and creating efficient workflows for audience targeting, enrichment, scoring, and ABM motion. You will evaluate emerging AI tools and operationalize them for performance and visibility.

Qualifications

• 4+ years in GTM, RevOps, Marketing Ops, or Growth Engineering
• Experience building workflow automation in Clay with audience workflows
• Fluency in AI tools and AI-driven workflows
• Familiarity with CRM platforms and marketing tools
• Basic scripting knowledge in JavaScript or Python

Responsibilities

• Translate go-to-market strategy into technical requirements
• Design and maintain lead enrichment and scoring workflows
• Create automated agents to trigger marketing actions based on signals
• Build GTM workflows across ad platforms using automation tools
• Refine ABM motions for targeted engagement and tracking
• Monitor workflows for data quality and efficiency
• Evaluate and pilot AI tools to enhance workflow performance

Skills

GTM engineering

RevOps experience

Marketing Ops

Growth engineering

AI-driven workflows

Scripting (JS/Python)

Data hygiene

Communication skills

Tools

Clay

Salesforce

Marketo

JavaScript

Python

Job description

Ladders is seeking a GTM Engineer to join a leader in the Finance & Insurance space in a remote US-based role. You will partner with go-to-market, marketing, and revenue operations to turn strategy into scalable technical execution.

Focus on building automation, improving data quality, and creating efficient workflows for audience targeting, enrichment, scoring, and ABM motion. You will evaluate emerging AI tools and operationalize them for performance and visibility.