GTM Systems Engineer - AI-Driven Automation

Brex

San Francisco (CA)

Hybrid

USD 135,720 - 169,650

Full time

14 days+

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Job summary

Brex is seeking a Systems engineer to own GTM tooling, workflows, and AI‑enabled automation. You will partner with Sales, SDR, CS, and RevOps to identify bottlenecks, design scalable solutions, and ship end‑to‑end tools that improve time‑to‑close and data quality.

This role emphasizes hands‑on building, rapid delivery, and independent problem solving in a fast‑growing fintech environment. You'll work in our San Francisco office with a hybrid schedule and collaborate across Salesforce,

Qualifications

  • 2‑4 years in Systems, BizOps, TechOps, Sales/RevOps engineering, or related ops role.
  • Experience leading end‑to‑end tooling projects from evaluation to training.
  • Proficient in JavaScript, Python, SQL, and APIs with ability to ship internal tools.
  • Comfort with data analysis and presenting insights to leadership.
  • Interest in embedding AI/LLM capabilities into tooling and workflows.
  • Strong ownership and ability to balance multiple stakeholder priorities.

Responsibilities

  • Build and maintain tooling, integrations, and automations for GTM teams.
  • Collaborate with Sales, SDR, CS, and RevOps to identify bottlenecks and design solutions.
  • Work within GTM tech stack (Salesforce, Nooks, Outreach, Gong, Vitally, Sierra) to improve tooling.
  • Analyze GTM data and provide data‑backed recommendations to leadership.
  • Integrate AI/LLM capabilities into existing tools and workflows.
  • Own moderately scoped projects end‑to‑end from framing to launch.
  • Manage relationships with multiple GTM stakeholders with senior support as needed.
  • Contribute to code quality and mentor junior ICs and interns.

Skills

JavaScript
Python
SQL
APIs
GTM tooling
Ownership mindset

Tools

Salesforce
Nooks
Outreach
Gong
Vitally
Sierra

Job description

Brex is seeking a Systems engineer to own GTM tooling, workflows, and AI‑enabled automation. You will partner with Sales, SDR, CS, and RevOps to identify bottlenecks, design scalable solutions, and ship end‑to‑end tools that improve time‑to‑close and data quality.

This role emphasizes hands‑on building, rapid delivery, and independent problem solving in a fast‑growing fintech environment. You'll work in our San Francisco office with a hybrid schedule and collaborate across Salesforce,

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