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Systems Analyst II

Brex
Hybrid - Vancouver, BC, Canada, 3 days/week (Mon, Wed, Thu)Updated 6d ago
Compensation
$126k–$145k
Published range
Location
Hybrid - Vancouver, BC, Canada, 3 days/week (Mon, Wed, Thu)
Remote eligibility
Employment
Full-time
Mid-level
Role family
Operations
Fintech
Apply on brex.com
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About the job

Company

Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. It combines global corporate cards and banking with spend management, bill pay, and travel software. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers.

Role

As a Systems Analyst II on the Systems team, you will own the tools, workflows, and automations that GTM teams (Sales, Sales Development, Customer Success, and Revenue Operations) rely on daily. This is a hands-on, builder-focused role: you'll work directly with GTM leaders and reps to identify efficiency gaps and design and ship solutions. You'll integrate AI and LLM capabilities into existing tools, analyze GTM data, and manage relationships with multiple stakeholders.

Responsibilities

  • Build and maintain tooling, integrations, and automations for GTM teams.
  • Partner with Sales, SDR, CS, and RevOps stakeholders to identify workflow bottlenecks and translate them into technical solutions.
  • Work within the GTM tech stack (e.g., Salesforce, Nooks, Outreach, Gong, Vitally, Sierra) to improve tooling.
  • Analyze GTM data to surface insights and make data-backed recommendations.
  • Integrate AI/LLM capabilities into tools and workflows.
  • Independently own and deliver moderately scoped projects end-to-end.
  • Mentor junior ICs and interns.

Qualifications

  • 2–4 years of experience in Systems, BizOps, TechOps, Sales/RevOps engineering, or related technical operations role.
  • Familiarity with GTM tooling such as Salesforce, Nooks, Outreach, Gong, Vitally, Sierra, or comparable platforms.
  • Experience leading tools end-to-end from evaluation to implementation.
  • Working proficiency in JavaScript, Python, SQL, and APIs.
  • Comfort with data analysis and presenting recommendations.
  • Experience or curiosity around embedding AI/LLM capabilities.
  • Strong ownership mentality and ability to manage multiple stakeholder relationships.

Compensation

The expected salary range is CA$126,000 - CA$145,000. Equity and other forms of compensation may be provided.

Skills & tags

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