# Head of GTM - Systems & Agents

**Company**: xAI
**Location**: Palo Alto, CA
**Work arrangement**: onsite
**Experience**: executive
**Job type**: full-time
**Salary**: $200,000 - $400,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q120599684

**Apply**: https://job-boards.greenhouse.io/xai/jobs/5005154007
**Canonical**: https://yubhub.co/jobs/job_af39f13c-e2c

## Description

You will build, automate, and operate the systems that power xAI's global GTM organisation. This is a hands-on, builder-first role, responsible for architecting the tech stack, implementing automation, and deploying AI agents that directly generate revenue.

Key responsibilities include:

- Owning and scaling the GTM tech stack (HubSpot, Clay, Gong, internal tools).

- Architecting and automating workflows to remove manual GTM tasks.

- Building systems to support consumption-based forecasting models linked to product telemetry.

- Developing dashboards and reporting for leadership visibility.

- Partnering cross-functionally to align data flows across Product, Sales, and RevOps.

- Evaluating and implementing new technologies to expand automation coverage.

To succeed in this role, you will need deep experience owning and automating CRMs at scale, a proven track record designing and deploying AI/LLM-powered agent workflows for revenue operations or sales, and experience with consumption-based revenue models and hyperscaler GTM environments (AWS, Azure, GCP).

The role offers a competitive salary range of $200,000 - $400,000 USD, as well as a comprehensive total rewards package including equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

## Skills

### Required
- CRM
- AI/LLM
- Automation
- Tech Stack
- Data Flows
- Consumption-Based Revenue Models
- Hyperscaler GTM Environments

### Nice to have
- Hybrid of architect and operator
- Obsessed with automation and eliminating manual work
- Able to bridge technical depth with business context