POSITION SUMMARYThe Offers team helps our community members (CMs) find ways to save and earn more. We source and curate offers that put real money back in our CMs' pockets, and we work to surface the right offer at the right time with the right messaging-so what a CM sees is genuinely valuable to them: money they'd actually save, not a promotion they'll ignore. Getting that match right is equal parts engineering, product judgment, and experimentation. This is a full-stack team where most engineers work across stacks - either backend and frontend or two frontend platforms, such as Android and iOS. We're hiring an Android-strong engineer who's eager to work beyond a single platform: someone who can go deep on Android but is comfortable picking up iOS or backend work as the problem demands and as their own interests lead. We work closely with other backend and client engineers, product, design, and business development teams, as well as marketing and customer support teams, to create new product experiences for our customers. Our goal is to provide our customers with a seamless mobile experience that makes it easy to access their money.
We're looking for an engineer who thinks beyond the ticket - someone who cares as much about why we're building something as about how it gets built. You'll treat product outcomes as your own and use data to inform your product and engineering judgment. You must have a strong focus on user experience and be someone who can write specs and take an idea from concept to execution. The Canada-based salary range for this full-time position is $199,800 - $244,200, plus equity and benefits. Our salary ranges are determined by role, level, and location. This role is open to remote talent and may be hybrid, with two days a week in our Vancouver office, depending on the candidate's location.
WHAT YOU'LL DO- Partner with product and design from problem definition onward - shaping what we build and why, including writing up the spec, not just implementing finished ones.
- Build and refine the systems that source, match, and surface offers - deciding which to show, when to show them, and how to frame them - balancing CM value, relevance, and business outcomes.
- Work across the stack as needed - owning Android, but contributing to iOS or backend when that's where the problem lives.
- Work in an AI-native way - using AI coding tools and agents for cross-stack code generation, spec-driven development, and faster iteration across Android, iOS, and backend.
- Translate customer pain points and business goals into technical solutions, and push back when the data suggests a better path.
- Run and instrument experiments (A/B tests, targeting logic, funnels, retention) to validate that what we surface actually helps CMs save or earn more - and kill what doesn't.
- Design and implement new APIs in collaboration with our backend engineering counterparts to communicate with applications.
- Develop a scalable architecture that enables the organization to remain agile as it expands.
- Drive decisions on the strategies and methodologies used in app development and testing at EarnIn.
- Ship iteratively - prioritize ruthlessly, scope MVPs, and balance speed against quality to get value to CMs faster.
- Create Unit and Automation (UI) Tests to ensure new code doesn't break existing features and meets product requirements.
- Act as a tech lead - own outcomes and projects end-to-end, from spec through launch and iteration, while mentoring and partnering with junior engineers to raise the bar across the team.
WHAT WE'RE LOOKING FOR- Bachelor's (or higher, e.g., MS or PhD) in Computer Science or a related technical field or equivalent technical experience.
- 4+ years of industry experience building, shipping, and maintaining mobile applications at scale, with a strong focus on Android.
- A product mindset: you care about customer outcomes and business impact, are comfortable with ambiguity, and can take a high-level idea and shape it into a product spec.
- Tech lead experience - you've owned projects end-to-end and mentored or guided more junior engineers, raising the quality of the work around you.
- Willingness and curiosity to work across stacks - Android-strong, but ready to contribute on iOS or backend rather than staying boxed into one platform.
- Very comfortable with AI-native development workflows - using AI coding tools and agents as a core part of how you design, build, and ship.
- Genuine interest in personalization, targeting, and messaging - figuring out how to deliver the right offer to the right person at the right moment.
- Strong communication and cross-functional collaboration skills - you can engage product, design, marketing, and data partners as an equal, not just a downstream implementer.
- Fluency in Kotlin, with a strong grasp of reactive & functional paradigms (Coroutines/Flow, RxJava).
- Proven experience with modern Android app architectures (MVVM, MVI, MVP, Clean Architecture) and Jetpack components.
- Deep understanding of Android UI frameworks, including XML layouts and Jetpack Compose.
- Hands-on knowledge of software engineering best practices across the full SDLC: coding standards, code reviews, Git workflows, CI/CD pipelines, automated testing, and mobile release operations.
- Experience with mobile analytics and experimentation tooling (e.g., Amplitude, feature flags, A/B testing frameworks) is a strong plus
- Familiarity with identity verification, authentication, and authorization protocols.
- Familiarity with iOS development or backend development is a significant plus.
#LI-Hybrid
A Note on AI in the Hiring Process: EarnIn may use Artificial Intelligence (AI)-powered tools during the hiring process, including tools that generate summaries or notes for interviewers, review resumes, assist with scheduling, or help identify themes across candidate responses and profiles for a given role. Final hiring decisions are made by human interviewers and hiring managers. If you have any concerns about the use of AI in our hiring process, please connect with your recruiter. With your consent, EarnIn may use AI tools to help transcribe or summarize interviews. Recordings are treated as confidential candidate data and are accessible only to authorized hiring personnel. Declining to be recorded will not negatively affect your candidacy or evaluation.
