Systems Analyst II

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

Systems at Brex

Systems is the connective tissue that powers Brex's growth and operational scale. We operate at the intersection of product, operations, finance, data, engineering, and GTM – solving the company's most complex cross‑functional challenges and turning strategy into execution.

From driving AI transformation across Operations and GTM to building scalable systems, workflows, and decision infrastructure, Systems helps Brex operate smarter, faster, and with greater leverage. We are redefining how modern operational organizations work by combining business context, systems thinking, and AI‑native execution.

If you're excited by high‑impact problems, hands‑on building, and shaping how a modern fintech GTM org operates, Systems is where you belong.

What you'll do

You'll own the tools, workflows, and automations that our GTM teams – Sales, Sales Development, Customer Success, and Revenue Operations – rely on every day. This is a hands‑on, builder‑focused role: you'll work directly with GTM leaders and reps to understand where time and efficiency are being lost, then design and ship solutions that close the gap.

You'll help answer questions like:

  • Where are our GTM teams spending time on manual or repetitive work that tooling and automation can eliminate?
  • How do we integrate AI directly into the tools our sellers and CS teams use daily, rather than bolting it on?
  • What does the data tell us about where to invest next, and how do we make that case to leadership?
  • Where does our GTM data model break down across systems (Salesforce, Snowflake, reverse‑ETL pipelines), and what's the right approach to fix it so downstream teams don't build around it?

This role is a great fit for someone who wants to move quickly, work independently on real business problems, and grow their ability to operate with a high degree of autonomy. You'll be trusted to scope, build, test, and ship with minimal oversight, escalating only for cross‑team dependencies or architectural tradeoffs.

Where You'll Work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week: Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities
  • Build and maintain tooling, integrations, and automations that increase efficiency and productivity for GTM teams.
  • Partner directly with Sales, SDR, CS, and RevOps stakeholders to identify workflow bottlenecks and translate them into clear, scoped technical solutions.
  • Work within and across our GTM tech stack (e.g., Salesforce, Nooks, Outreach, Gong, Vitally, Sierra, or equivalents) to build and improve tooling and integrations.
  • Analyze GTM data to surface insights, quantify impact, and make data‑backed recommendations to leadership on where to prioritize systems investment.
  • Integrate AI and LLM‑based capabilities into existing tools and workflows to drive automation and leverage, with guidance from senior team members on more complex builds.
  • Independently own and deliver moderately scoped projects end‑to‑end, from problem framing through launch and iteration.
  • Manage relationships with multiple GTM stakeholders, with support from senior ICs and managers on prioritization and tradeoffs.
  • Contribute to team quality bar by writing clean, reviewed code and following strong technical hygiene.
  • Mentor junior ICs and interns as they ramp up on systems and tooling work.
Requirements
  • 2‑4 years of experience in Systems, BizOps, TechOps, Sales/RevOps engineering, or a related technical operations role.
  • Familiarity with GTM tooling such as Salesforce (or an equivalent CRM), Nooks, Outreach, Gong, Vitally, Sierra, or comparable platforms or a demonstrated ability to learn new tools quickly.
  • Experience leading tools end‑to‑end— from evaluation and vendor selection through implementation, change management, and training coordination.
  • Working proficiency in JavaScript, Python, SQL, and APIs, with the ability to build and ship internal tools independently.
  • Comfort working with data to inform decisions: pulling, analyzing, and presenting data‑backed recommendations to non‑technical stakeholders and leadership.
  • Experience or genuine curiosity around embedding AI/LLM capabilities into tooling and workflows.
  • Strong ownership mentality: able to take a loosely defined business problem, scope it, and drive it to a shipped solution.
  • Ability to manage multiple stakeholder relationships and balance competing priorities, with support from more senior team members.
  • Excitement for building GTM‑facing tools in a fast‑paced, high‑growth environment.
Compensation

The expected salary range for this role is $135,720 — $169,650. However, the starting base pay will depend on a number of factors, including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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