# Systems, Senior Manager

**Company:** [Brex](https://hotfix.jobs/companies/brex)
**Location:** Salt Lake City, UT
**Role:** Business Operations
**Salary:** $180k – $225k/yr
**Experience:** 5+ years
**Skills:** JavaScript, Python, SQL, APIs, Ai/Llm Technologies, Salesforce, Retool, Workflow Automation Tools, Data Infrastructure, Systems Architecture
**Posted:** 2026-05-15

> Lead a team building AI-native systems, automation, and operational infrastructure for Brex's Risk, Compliance, and Operations functions. Drive cross-functional execution across Product, Engineering, and Data teams.

## Job Description

## Responsibilities
- Lead a team of highly technical operators responsible for systems, automation, and operational infrastructure powering Brex’s Operations organization.
- Partner closely with Product, Engineering, Data, Finance, and Operations leaders to solve complex business problems across Risk, Compliance, Payment Operations, Servicing, and Banking Operations.
- Define long-term vision for operational scale while directly driving execution on high-impact systems, workflows, and AI-powered tooling.
- Build scalable systems, workflows, and decision infrastructure; transform traditional operations into AI-native organizations through intelligent automation, agentic workflows, and internal platforms.
- Answer foundational questions on redesigning operational work in an AI-native world, increasing efficiency while maintaining customer experience and risk controls, and creating leverage across scaling teams.

## Requirements
- 5+ years leading Systems, BizOps, TechOps, Internal Platform, or Operational Excellence teams in high-growth environments.
- Proven track record building and scaling internal systems, workflows, and operational tooling with measurable business impact.
- Experience leveraging AI/LLM technologies to automate workflows, improve efficiency, or build internal tools and agentic systems.
- Strong understanding of operational tooling ecosystems (Salesforce, Retool, workflow automation tools, data infrastructure).
- Technical fluency with systems architecture and automation development (JavaScript, Python, SQL, APIs, AI tooling).
- Strong analytical mindset using data to inform strategy, prioritize investments, and measure outcomes.
- Ability to operate effectively across cross-functional environments, align technical solutions with business strategy, and navigate ambiguity.
- Strong ownership mentality with bias toward action and hands-on execution when needed.

## Nice-to-Haves
- Excitement for building next-generation AI-native operational systems and workflows.

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