Senior Software Engineer II, Mobile - On App Ads (AI Native)

Location: Remote within the United States or Canada

Salary: $118,500–$216,500 USD for US-based candidates; 171,500–201,000 CAD for Canada-based candidates. Base pay may vary by geographic location.

Company

hirify.global builds a mobile family-safety platform with location sharing, safe driver reports, crash detection, emergency dispatch, Tile tracking devices, and Pet GPS trackers, serving more than 102.4 million monthly active users across over 180 countries.

What you will do

• Design, build, and maintain the iOS ads layer, including the in-house SDK, header-bidding, mediation, demand-partner integrations, and ad formats.
• Expand ad placements and capabilities while protecting startup time, scroll performance, privacy, and member experience across 300M+ daily ad requests and 10+ partners.
• Own iOS consent and privacy flows, including ATT, IDFA, SKAdNetwork/AdAttributionKit, TCF/GPP, and regional user settings.
• Protect ad quality, diagnose creative rendering, fill, latency, and performance issues, and collaborate with ad operations and external SDK partners.
• Instrument ad events and run A/B tests on floors, refresh, placements, and partner mix to support reliable revenue decisions.
• Use AI coding tools and agentic workflows to write specifications, generate Swift code and tests, verify results, review changes, and improve team velocity; contribute to architecture, reviews, mentoring, on-call, and incident response.

Requirements

• 6+ years of iOS engineering experience shipping production consumer applications at scale.
• At least 1 year of hands-on experience prompting, evaluating, and building with LLMs.
• Strong Swift, SwiftUI, and UIKit skills, with deep knowledge of Xcode, Swift Concurrency, and Combine.
• Experience with MVVM, coordinators, dependency injection, and modularization using SPM or CocoaPods in a large multi-team codebase.
• Production experience integrating and debugging third-party SDKs, including closed-source behavior, version upgrades, app size, and performance effects.
• Knowledge of iOS performance, memory, and crash diagnostics using Instruments, MetricKit, Crashlytics, or equivalent.
• Experience with iOS CI/CD using Fastlane, Xcode Cloud, Buildkite, GitHub Actions, or similar.
• Hands-on experience with agentic workflows, prompt engineering, context-window management, and MCP/function calling.
• Bachelor’s degree in a technical field or equivalent experience, plus precise problem solving, clear communication, cross-team collaboration, ownership, and effective explanation of technical tradeoffs.

Nice to have

• Ad tech experience with OpenRTB, Prebid Mobile, Google Mobile Ads/GAM, AdMob, AppLovin MAX, ironSource, or Unity LevelPlay.
• Experience with iOS privacy and attribution, Privacy Manifests, and consent platforms such as Google UMP or TCF/GPP.
• Experience building or maintaining SDKs or frameworks consumed by other teams.
• Ad quality tooling, creative rendering with WKWebView or MRAID, and diagnosing fill or latency issues.
• Experience with experimentation platforms such as Statsig, LaunchDarkly, or Optimizely.
• Android/Kotlin experience or willingness to contribute cross-platform.

Culture & Benefits

• Remote-first work environment for employees working within the United States or Canada.
• AI coding tools, including Claude Code, Cursor, and GitHub Copilot, are a professional standard; engineers review and own all AI-generated code.
• Medical, dental, vision, life, and disability coverage, with US medical, dental, vision, life, and disability plans 100% paid.
• US 401(k) matching or Canadian RRSP with DPSP, paid parental leave, mental wellness support, flexible PTO, holidays, and summer and winter shutdowns.
• Learning and development programs, equipment and remote-work support, free hirify.global Platinum Membership, and Tile trackers.
• Participation in the ads and mobile-release on-call rotation and incident response is required.

Hiring process

• AI tool usage during interviews varies by role; candidates may need to demonstrate AI proficiency, discuss AI usage, or complete exercises without AI assistance.
• Undisclosed AI use that was not discussed with or approved by the recruiter may affect candidacy.