Senior Lead Systems Engineer, AI & Automation

Braze

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TXNew York, NY
Salary
$104,000–$164,000 / yr
Posted
62 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k
This role $134k
$91k most similar roles pay here $221k

This role pays less than 85% of similar roles. Most pay $149,375–$204,730 — the shaded band above. At the midpoint, this role pays about $134k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Braze

Braze is a leading cloud-based customer engagement platform that enables brands to foster human connection with consumers through interactive, real-time, cross-channel marketing.

Braze currently has 108 open roles on FindRole.

Listed pay typically runs $149,000–$234,000 across 107 roles with salary data.

Most-posted roles

View all roles at Braze

At a glance

TL;DR · Senior Lead Systems Engineer, AI & Automation

Role Posting Log in to save

Senior Lead Systems Engineer, AI & Automation will join the team to architect scalable solutions that connect internal systems through automation, software engineering, and intelligent integrations. This role involves leading complex technical initiatives from concept to delivery, building integration layers for platforms like Slack, Okta, Workday, Atlassian, GitHub, and Google Workspace. The primary objective is to redefine employee interactions with IT by developing conversational experiences, self-service tools, and agentic workflows that reduce operational overhead. To succeed, the candidate must possess a strong software engineering background, proficiency in Python, Go, TypeScript, or JavaScript, and experience with REST APIs, webhooks, OAuth, SCIM, and GraphQL. The role focuses on solving business problems through automated systems and AI-powered infrastructure to modernize enterprise operations while ensuring high standards for reliability, scalability, and security across the internal technology landscape.

Skills

Python Go TypeScript JavaScript REST APIs Webhooks OAuth SCIM GraphQL Slack Okta Workday Atlassian GitHub Google Workspace Terraform Infrastructure as Code Event-driven Architecture Message Queues Serverless AWS GCP Azure

What you'll do

  • Architect and build scalable integrations across platforms like Slack, Okta, Workday, and GitHub.
  • Design and implement intelligent automation using AI and agentic workflows to streamline business processes.
  • Develop conversational interfaces and self-service tools to improve the employee experience with IT.
  • Build reusable automation frameworks and internal tooling to reduce operational toil for engineering teams.
  • Evaluate and pilot emerging AI technologies, including LLMs and MCP integrations, for enterprise use.
  • Design resilient enterprise platform architectures that prioritize long-term maintainability and scalability.
  • Partner with Security and Infrastructure teams to ensure all solutions meet governance and compliance standards.
  • Provide technical leadership and mentorship on automation, integration, and software engineering best practices.

What we're looking for

  • 8+ years of experience designing enterprise-scale integrations and automation across modern SaaS environments.
  • Strong software engineering background building APIs, integrations, automation, or platform services.
  • Proficiency in one or more programming languages such as Python, Go, TypeScript, or JavaScript.
  • Experience working with REST APIs, webhooks, OAuth, SCIM, GraphQL, and modern authentication standards.
  • Familiarity with enterprise platforms including Okta, Workday, Slack, Atlassian, GitHub, Google Workspace, or similar ecosystems.
  • Skilled in designing scalable architectures that balance business requirements, security, and operational simplicity.
  • Experience collaborating across engineering, security, infrastructure, and business teams to deliver technical solutions.
  • Experience implementing AI agents, MCP integrations, LLM-powered workflows, or cloud automation tools (preferred).

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