Native Mobile Software Engineer
At its core, Glean is redefining how enterprises find, use, and act on knowledge
Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee
This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time
The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level
If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more
You’ll be deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company
Glean is seeking a Senior Software Engineer, Mobile, to accelerate our development of fully native apps for iOS and Android
Today our apps wrap the web app; you will replace them with native Swift/SwiftUI and Kotlin/Jetpack Compose apps, harnessing AI to deliver a new refined and polished mobile experience
You will be responsible for setting strong technical foundations for these new codebases
Build and ship native iOS and Android apps in Swift/SwiftUI and Kotlin/Jetpack Compose
Ship user-facing features end to end: search, AI assistant, agents, notifications, and OS integrations such as widgets, App Intents, share extensions, live voice modes and more
Build experiences that feel native on each platform, following Apple’s Human Interface Guidelines and Google’s Material Design, with strong accessibility, performance, and offline behavior
Define the mobile architecture: module boundaries, networking, persistence, concurrency, observability, and performance budgets
Own mobile CI/CD: automated builds and tests, code signing, TestFlight and Play Store deployment, phased rollouts, and release health monitoring
Set up an AI-native development workflow: an agent-friendly repo, automated test generation, AI-assisted review, and tooling that lets coding agents build, run, and verify mobile changes
Build, sign, and ship enterprise app variants with their own configuration and distribution requirements
Own mobile authentication end to end: OAuth 2.0/PKCE, OIDC/SAML SSO, secure token and session handling, and identity-provider policies such as conditional access and device trust
Make the apps work in managed and BYOD environments: MDM, MAM, managed app configuration, app protection policies, and Android Enterprise work profiles
Design admin-controlled data protection (downloads, sharing, copy/paste, screenshots) with Security and Admin teams, and emit reliable audit events for customer security tooling
Represent mobile in enterprise security reviews and validate behavior on real managed and unmanaged devices
You have owned mobile CI/CD pipelines and release infrastructure (e.g. Fastlane, Xcode Cloud, GitHub Actions, Gradle, code signing, staged rollouts) Experience shipping OS integrations (widgets, App Intents / Shortcuts, extensions, background work) on at least one platformNice to have: migrating a hybrid or cross-platform app to native; shipping in MDM/MAM-managed enterprise environments 6+ years of software engineering experience, with 4+ years shipping production mobile apps on both iOS and AndroidExperience with mobile auth: OAuth 2.0/PKCE, OIDC/SAML, MSAL, ASWebAuthenticationSession / Custom Tabs, Keychain and Android KeystoreProficiency in Swift or Kotlin with working knowledge of the other, and willingness to develop cross-platform fluency, as you will be responsible for both iOS and AndroidStartup mindset: comfortable owning problems end to end, from infra to pixels, in an ambiguous environmentYou use AI coding tools daily to ship faster without lowering the quality bar, and have opinions on structuring a codebase and toolchain so agents work in it effectively