Senior Lead Systems Engineer, AI & Automation

Braze•Austin, TX

3d•$104,000 - $164,000

About The Position

Braze is seeking a Senior Lead Systems Engineer to build the next generation of enterprise technology through automation, software engineering, AI, and intelligent integrations. The role architects scalable solutions connecting Braze’s enterprise systems and develops conversational and self-service experiences that improve how employees interact with IT. The engineer leads complex technical initiatives from concept through delivery and partners with Security, Infrastructure, Product, and IT teams to reduce operational overhead and improve employee experiences. The position focuses on enterprise automation and AI, integrations across SaaS platforms, conversational IT, enterprise architecture, AI platform enablement, developer experience, governance, emerging technology, and technical strategy. The role evaluates and implements emerging AI technologies, LLMs, MCP integrations, and agent frameworks; builds reusable automation and integration tooling; and helps establish responsible adoption practices. It also contributes to technical roadmaps, documents architecture and operational processes, and provides technical leadership and mentorship. Braze offers a comprehensive Total Rewards package that may include equity grants, as well as location-dependent benefits. The role is described as supporting hybrid ways of working. For U.S.-based candidates, the stated starting pay range is $104,000–$164,000 per year, with expected OTE of $115,000–$182,000 per year, including bonus or commission. Exact offers vary based on factors such as location, knowledge, skills, and experience.

Requirements

At least 8 years of experience designing enterprise-scale integrations and automation across modern SaaS environments.
Strong software engineering background, including experience building APIs, integrations, automation, or platform services.
Proficiency in one or more programming languages such as Python, Go, TypeScript, or JavaScript.
Experience with REST APIs, webhooks, OAuth, SCIM, GraphQL, and modern authentication standards.
Familiarity with enterprise platforms such as Okta, Workday, Slack, Atlassian, GitHub, Google Workspace, or similar SaaS ecosystems.
Ability to design scalable architectures that balance business requirements, security, and operational simplicity.
Experience collaborating across engineering, security, infrastructure, and business teams to deliver technical solutions.
Interest in using AI, automation, and software engineering to solve operational challenges.
Curiosity, collaboration, motivation for continuous improvement, and a thoughtful systems-design approach.

Nice To Haves

Experience implementing AI agents, MCP integrations, LLM-powered workflows, or enterprise AI platforms.
Experience with Terraform, Infrastructure as Code, or cloud automation tooling.
Experience with event-driven architectures, message queues, or serverless technologies.
Experience integrating Workday, Okta, Atlassian Cloud, Slack Platform, GitHub Enterprise, or Google Workspace APIs.
Familiarity with AWS, GCP, or Azure.
Experience building internal developer platforms or enterprise integration frameworks.
Experience supporting high-growth SaaS organizations with complex enterprise technology environments.

Responsibilities

Design and build intelligent automation to streamline business processes across enterprise platforms, using AI, agentic workflows, and modern integration patterns.
Design and develop scalable integrations across platforms such as Slack, Okta, Workday, Atlassian, GitHub, Google Workspace, and other SaaS applications.
Build APIs, middleware, and event-driven workflows that create seamless employee experiences.
Develop conversational interfaces and self-service experiences that reduce reliance on ticket-based IT workflows and improve service delivery and employee satisfaction.
Design scalable, resilient enterprise platform solutions with long-term maintainability, extensibility, and operational excellence in mind.
Evaluate, pilot, and implement emerging AI technologies, large language models, MCP integrations, and agent frameworks, and establish responsible-adoption best practices.
Build reusable automation frameworks, integration services, and internal tooling to accelerate delivery, reduce operational toil, and improve platform maintainability.
Partner with Security, Compliance, and Infrastructure teams to ensure solutions meet governance requirements while remaining simple, scalable, and operationally mature.
Document architecture, implementation decisions, and operational processes according to governance and compliance standards.
Research emerging technologies, integration capabilities, and AI advancements that can improve scalability, reduce complexity, and create automation opportunities.
Contribute to enterprise platform strategy and long-term technical roadmaps.
Provide technical leadership on complex initiatives and mentor engineers in automation, integration, and software engineering best practices.

Benefits

Competitive compensation that may include equity; the role qualifies for restricted stock unit equity grants.
Retirement and Employee Stock Purchase Plans.
Flexible paid time off.
Medical, dental, vision, life, and disability benefit plans.
Fertility benefits and equal paid parental leave.
Professional development through formal career pathing, learning platforms, and a yearly learning stipend.
Curated in-office employee experience designed to foster community, team connections, and innovation.
Opportunities to give back, including an annual company-wide Volunteer Week and donation matching.
Employee Resource Groups.
Hybrid ways of working.
Collaborative, transparent, and fun culture recognized as a Great Place to Work.