Software Engineer, Native Mobile
Mountain View, United States · Hybrid
- Posted 3h ago
- From Glean’s careers page
- Location
- Mountain View, United States
- Work mode
- Hybrid
- Level
- Senior
- Experience
- 6+ years
- Department
- Software Development
Opens the listing on job-boards.greenhouse.io
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About the role
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business without vendor lock-in or costly implementation cycles.
About the Role:
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.
You will:
Build the apps
- 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.
Build the infrastructure
- 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.
Own enterprise readiness
- 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.
About you:
- 6+ years of software engineering experience, with 4+ years shipping production mobile apps on both iOS and Android.
- Proficiency 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 Android.
- You have owned mobile CI/CD pipelines and release infrastructure (e.g. Fastlane, Xcode Cloud, GitHub Actions, Gradle, code signing, staged rollouts).
- You 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.
- Experience with mobile auth: OAuth 2.0/PKCE, OIDC/SAML, MSAL, ASWebAuthenticationSession / Custom Tabs, Keychain and Android Keystore.
- Experience shipping OS integrations (widgets, App Intents / Shortcuts, extensions, background work) on at least one platform.
- Startup mindset: comfortable owning problems end to end, from infra to pixels, in an ambiguous environment.
- Nice to have: migrating a hybrid or cross-platform app to native; shipping in MDM/MAM-managed enterprise environments.
Location:
- This role is hybrid (4 days a week in our Mountain View or San Francisco office)
Compensation & Benefits:
The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We're committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
AI-First Mindset at Glean:
At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today. Prior Glean experience isn't required.
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About Glean
Enterprise AI search and agentsGlean provides enterprise AI search, assistants, and agents that help employees find and use company information.
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