Senior Software Engineer II, Mobile - Revenue Experimentation (AI Native)

Role overview

A senior mobile engineering role focused on designing and shipping high-velocity growth and monetization experiments across a large-scale consumer application. The position centers on Android development with an AI-native engineering approach, treating AI tooling as a first-class collaborator throughout the software development lifecycle. The engineer partners closely with product, design, data science, and analytics to turn hypotheses into running, well-instrumented tests that shape revenue decisions.

Responsibilities

- Design and ship high-quality Android features and experiments spanning subscription paywalls, pricing tests, ad placement and mediation, in-app purchases, and upsell or upgrade flows, often running many concurrent tests at once - Partner with product, design, data science, and analytics to convert hypotheses into shippable experiments and use results to drive the next decision - Orchestrate AI coding agents as a primary workflow to draft specs, generate code and tests, verify outputs, and perform reviews - Build accurate instrumentation and exposure logging so downstream analytics and decision-making remain trustworthy - Deliver polished, performant Android experiences at scale, with attention to startup time, memory, battery usage, ANRs, and crash-free rates - Turn loosely-defined ideas into working versions in front of real users quickly, treating the first cut as a learning tool rather than a final answer - Help document AI-native Android engineering practices and playbooks that other mobile teams can adopt

Requirements

- Senior-level experience shipping production Android applications at meaningful scale - Comfort working fluidly across mobile and adjacent platforms, including iOS, web, or backend, when an experiment demands it - Track record partnering with product, design, and data teams to ship evidence-based experiments - Proficiency treating AI tooling as a first-class collaborator in day-to-day engineering work - Care for instrumentation, analytics quality, and the reliability signals downstream teams depend on - Self-directed mindset with the ability to move from a rough idea or partial spec to a running, safely-instrumented experiment

Nice to have

- Background helping teammates earlier in their AI workflow adoption get up to speed - Demonstrated ability to stay current on fast-moving AI tooling and surface recommendations to the team - Experience documenting engineering practices that get adopted beyond a single team

Benefits and work setup

- Remote-first within the US and Canada - US salary range $118,500 to $216,500 USD; Canada salary range $171,500 to $201,000 CAD - Medical, dental, vision, life, and disability insurance, with premiums fully covered for US employees and supplemental plans available for Canadian employees - 401(k) with company match in the US; RRSP with DPSP in Canada - Paid parental leave, mental wellness program, and Employee Assistance Program - Flexible paid time off plus companywide holidays, with summer and winter shutdown periods - Learning and development programs, equipment, and remote-work reimbursement support