GTM Engineer

endorlabs; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Dental coverage

Vision coverage

Mental health support

401(k)

Flexible PTO

Coworking spaces

Team meetups

Dog-friendly office

Job summary

EndorLabs is seeking an experienced engineer to build and roll out AI-powered workflows that help sales, marketing, operations, and administration. The role covers opportunity discovery, hands-on engineering, production deployment, and adoption, working with team leaders to identify practical use cases and ship solutions.

You will design agent workflows, knowledge retrieval, content pipelines, and CRM enrichment, taking solutions from prototype to production while monitoring and iterating based

Qualifications

• Candidates must have at least five years of experience across software engineering, data science, AI/ML engineering, or technical operations.
• Proven track record delivering AI solutions used by business teams in day-to-day work.
• Understanding of go-to-market operations and enterprise sales pipeline workflows.
• Ability to identify where automation can significantly improve productivity and execution.
• Strong change management skills and ability to drive lasting adoption.

Responsibilities

• Assess team workflows and identify opportunities for automation or AI assistance.
• Maintain a prioritized roadmap of use cases, weighing value, feasibility, and business needs.
• Design and deploy agent workflows, knowledge retrieval systems, content pipelines, and CRM enrichment tools.
• Take solutions from prototype through production, including monitoring, error handling, and user-driven iteration.
• Connect workflows with business tools, databases, and collaboration systems.
• Lead adoption through training, internal champions, feedback, and usage measurement.

Skills

AI/ML engineering

Software engineering

Data science

Change management

Go-to-market understanding

Job description

Role overview

Build and roll out AI-powered workflows that improve how business teams work across sales, marketing, business development, operations, and administration. The role spans opportunity discovery, hands-on engineering, production deployment, and adoption: you’ll work with team leaders to find practical use cases, ship solutions, and help colleagues use them effectively.

Responsibilities

• Assess team workflows and identify opportunities for automation or AI assistance.
• Maintain a prioritized roadmap of use cases, weighing expected value, feasibility, and business needs.
• Design and deploy agent workflows, knowledge retrieval systems, content pipelines, and CRM enrichment tools.
• Take solutions from prototype through production, including monitoring, error handling, and user-driven iteration.
• Connect workflows with business tools, databases, and collaboration systems.
• Lead adoption through training, internal champions, feedback, and usage measurement.

Requirements

• At least five years of experience across software engineering, data science, AI or machine learning engineering, or technical operations.
• Track record of delivering AI solutions used by business teams in day-to-day work.
• Understanding of go-to-market operations, including enterprise sales processes and pipeline workflows.
• Ability to identify where automation can improve productivity and execution.
• Strong change management skills, including building trust and supporting lasting adoption.
• Comfortable working through ambiguity, shipping early versions, and improving them based on feedback.

Benefits and work setup

• The source lists health, dental, vision, and mental health coverage, a 401(k) plan, flexible paid time off, coworking and team meetups, and a dog-friendly office.