GTM Engineer - Data, Automation & AI Pipelines (Remote)

Jobgether; United States; Remote; USD 130,000 - 195,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Remote-first work model

Flexible PTO

Career progression

Direct access to leadership

Job summary

Jobgether is seeking a GTM Engineer in the United States to strengthen the technical backbone of a growing go-to-market organization. You will build data pipelines, manage integrations between HubSpot, Maxio, Stripe, Intercom, and other business systems to create a unified view of customers and accounts.

You will translate business requirements into scalable solutions using APIs, SQL, Python, and AI workflows, with ownership and direct exposure to RevOps leadership.

Qualifications

• 3–6+ years in Revenue Ops, Sales Ops, or technical GTM roles.
• Deep understanding of sales funnel, forecasting, and attribution.
• Advanced HubSpot experience with custom objects, workflows, and API integrations.
• Strong SQL and Python skills for data transformation and automation.

Responsibilities

• Build and maintain GTM data infrastructure and data models.
• Develop integrations between HubSpot, Maxio, Stripe, Intercom, and others.
• Manage event-driven systems with APIs, webhooks, and monitors.
• Improve reporting and analytics for pipeline, forecasting, and attribution.
• Develop AI-powered tools to support research, lead scoring, and handoffs.

Skills

SQL

Python

APIs

Data pipelines

Automation

AI workflows

Stakeholder comms

SaaS ops

Tools

HubSpot

Stripe

Intercom

Maxio

Snowflake

BigQuery

dbt

n8n

Clay

Temporal

Job description

Jobgether is seeking a GTM Engineer in the United States to strengthen the technical backbone of a growing go-to-market organization. You will build data pipelines, manage integrations between HubSpot, Maxio, Stripe, Intercom, and other business systems to create a unified view of customers and accounts.

You will translate business requirements into scalable solutions using APIs, SQL, Python, and AI workflows, with ownership and direct exposure to RevOps leadership.