AI-Driven GTM Engineer: Scale Revenue Automation

LeanScale, Inc.

New York (NY)

In loco

USD 150.000 - 200.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Health insurance
Equity
In-office snacks

Descrizione del lavoro

Traversal, based in New York, is seeking a Go-To-Market Engineer to build and scale our AI-native revenue engine. You will design AI-powered workflows that generate qualified pipeline, streamline the customer journey, and enable the marketing team to operate with automation and leverage.

You will shepherd a centralized marketing AI agent trained on our content and product knowledge. The role sits at the intersection of growth, automation, and engineering, requiring hands-on execution and bias

Competenze

  • 5+ years of GTM systems or related technical roles in B2B SaaS.

Mansioni

  • Build and ship AI-powered GTM workflows generating sales pipeline.
  • Design and maintain a centralized marketing AI agent.
  • Own GTM automation systems end-to-end including prospecting and routing.
  • Partner with Marketing, Sales, RevOps, and Engineering to reduce friction.
  • Design, test, and iterate growth experiments with measurable feedback.
  • Establish governance and quality standards for AI across GTM.

Conoscenze

GTM systems
Growth engineering
Marketing automation
APIs & webhooks
SQL basics
AI workflows
Cross-functional collaboration
Automation design

Strumenti

Salesforce
HubSpot
Clay
Outreach
Data enrichment platforms

Descrizione del lavoro

Traversal, based in New York, is seeking a Go-To-Market Engineer to build and scale our AI-native revenue engine. You will design AI-powered workflows that generate qualified pipeline, streamline the customer journey, and enable the marketing team to operate with automation and leverage.

You will shepherd a centralized marketing AI agent trained on our content and product knowledge. The role sits at the intersection of growth, automation, and engineering, requiring hands-on execution and bias

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