Navan Edge is an AI-powered personal assistant and concierge for frequent business travelers, on iPhone and web. It learns preferences, executes complex bookings, stacks rewards like hotel loyalty, and hands off to a 24/7 human concierge.

Edge is a chat product. Screens change with the conversation, and timing is not fixed. Writing stable UI automation for that is the core of this job. You'll plan and implement iOS and web automation for Edge, and define how the tests run, fail, and get owned.

What You'll Do:

• Write and maintain UI automation for iOS (Maestro or equivalent) and web (Cypress or equivalent) on booking paths: hotels, flights, restaurants, loyalty.
• Make tests stable on a chat UI: no hard sleeps, variable copy and layout, streaming results. A failure should mean a real defect, not flake.
• Own coverage, stability, and effectiveness of Edge automation, and maintain the CI/CD for it (Bitrise, Jenkins, GitHub).
• Define the protocol: what runs, when, what blocks a release, what is informational, what is skipped and why.
• On failure: capture evidence, open a ticket with a named owner, retest after the fix.
• Keep pass rate, flake rate, and coverage visible in dashboards people use.
• Work daily with iOS, web, Edge, and SRE. Escalate quality risks early.

What We're Looking For:

• 3 to 5 years building and owning UI automation, not only running an existing suite.
• Experience automating dynamic or conversational UIs, or a clear record of fixing flaky tests.
• Hands-on with agents and models: working with an agent product, MCP (or equivalent tool and agent interfaces), and enough model and LLM literacy to test and debug agent-driven UI. Not prompt research.
• iOS: Maestro, or Appium/XCUITest with the ability to work in Maestro.
• Web: Cypress or Playwright.
• Strong troubleshooting and clear communication. Tickets include evidence and a named owner.
• Comfortable in a fast-moving environment.

Nice to have:

• Maestro and Cypress in the same role.
• Grafana.
• Bitrise (CI/CD platform).
• Slack and JIRA used a failure-to-ticket process.

Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers.

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