Systems, Senior Manager

Brex•San Francisco, CA

9d•Hybrid

About The Position

Brex is seeking a Senior Manager for Systems to lead a team of highly technical operators responsible for the systems, automation, and operational infrastructure that power Brex’s Operations organization at scale. This role is central to critical functions like Risk, Compliance, Payment Operations, Servicing, and Banking Operations, requiring close partnership with leaders in Product, Engineering, Data, Finance, and Operations to solve complex business problems. It is a strategic and hands-on leadership role focused on defining the long-term vision for operational scaling and driving execution on high-impact systems, workflows, and AI-powered tooling. The team will transform traditional operations into AI-native organizations through intelligent automation, agentic workflows, decision infrastructure, and scalable internal platforms. Key questions to address include redesigning operational work in an AI-native world, increasing efficiency and automation while maintaining customer experience and risk controls, and building systems that create leverage across rapidly scaling operational teams. This is a unique opportunity to shape the future of operational systems and AI transformation at Brex.

Requirements

5+ years of experience leading Systems, BizOps, TechOps, Internal Platform, or Operational Excellence teams in high-growth, fast-paced environments.
Proven track record of building and scaling internal systems, workflows, and operational tooling that drive measurable business impact.
Experience leveraging AI/LLM technologies to automate workflows, improve operational efficiency, or build internal tools and agentic systems.
Strong understanding of modern operational tooling ecosystems, including platforms such as Salesforce, Retool, workflow automation tools, and data infrastructure.
Technical fluency with systems architecture and automation development, including working knowledge of JavaScript, Python, SQL, APIs, and AI tooling ecosystems.
Strong analytical and operational mindset with the ability to use data to inform strategy, prioritize investments, and measure business outcomes.
Demonstrated ability to operate effectively across highly cross-functional environments and align technical solutions with business strategy.
Proven ability to navigate ambiguity, drive alignment across stakeholders, and lead complex initiatives from concept to execution.
Strong ownership mentality with a bias toward action and a willingness to operate hands-on when needed.
Excitement for building the next generation of AI-native operational systems and workflows.

Responsibilities

Lead a team of highly technical operators responsible for systems, automation, and operational infrastructure.
Partner closely with Product, Engineering, Data, Finance, and Operations leaders to solve complex business problems.
Define the long-term vision for operational scaling.
Drive execution on high-impact systems, workflows, and AI-powered tooling.
Transform traditional operations into AI-native organizations through intelligent automation, agentic workflows, decision infrastructure, and scalable internal platforms.
Address foundational questions about redesigning operational work in an AI-native world, increasing efficiency and automation while maintaining customer experience and risk controls, and building systems that create leverage across rapidly scaling operational teams.