Remote GTM Automation Engineer | AI-Driven Revenue Tech

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

Benefits offered by this job

Competitive base salary + bonus

Equity

Health benefits & retirement plan

Flexible PTO

Fun work environment

Job summary

FastForward is seeking a GTM Engineer who will sit at the intersection of sales, marketing, revenue operations, and strategy. You will build, integrate, and manage client tech stacks to enable data-driven workflows and automated GTM processes.

You will leverage AI,Clay, and data enrichment tools to create custom solutions for diverse engagements, while building dashboards and reporting to optimize pipeline and conversion metrics.

Qualifications

• 3–5 years of hands-on experience in the GTM and/or revenue systems space.
• 3–5 years of hardcore experience in modern GTM and AI tooling.
• 2 years of hands-on experience designing and integrating GTM systems.
• Deep passion and real-world examples of AI use cases to create system orchestration.
• Proven ability to build multi-agent workflows.

Responsibilities

• Automate GTM workflows and data routing to reduce manual work.
• Design Clay workflows that are scalable, reliable, and insightful.
• Integrate client systems for seamless data flow across CRMs, tools, and data warehouses.
• Build and manage data pipelines and dashboards pulling data across the tech stack.
• Apply AI to create predictive lead scoring and hyper‑personalization at scale.
• Monitor data integrity, match rates, enrichment accuracy, and workflow uptime.

Skills

GTM systems

AI tooling

Workflow design

Data pipelines

Multi-agent workflows

Tools

Clay

CRM integrations

Data warehouses

Job description

FastForward is seeking a GTM Engineer who will sit at the intersection of sales, marketing, revenue operations, and strategy. You will build, integrate, and manage client tech stacks to enable data-driven workflows and automated GTM processes.

You will leverage AI,Clay, and data enrichment tools to create custom solutions for diverse engagements, while building dashboards and reporting to optimize pipeline and conversion metrics.