Senior Software Engineer II, Mobile - Revenue Experimentation (AI Native)
Company: Jobgether
Location: US (Remote)
Salary: $118.5k - $216.5k per year
Type: Full-time
Remote: Yes
Posted: 2026-09-29
About this role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer II, Mobile - Revenue Experimentation (AI Native) based in United States.
This is a senior mobile engineering role focused on building and scaling revenue and growth experimentation across a high-traffic consumer application. You will turn product hypotheses and data insights into production-ready experiments spanning subscriptions, pricing, advertising, purchases, and upgrade experiences. The role combines strong Android engineering with experimentation, analytics, performance, and AI-native development practices. You will work closely with Product, Design, Data Science, and Analytics teams to rapidly test ideas and turn results into informed product decisions. As an AI-native engineer, you will use agentic tools throughout ideation, coding, testing, review, and iteration. The role offers significant ownership, technical influence, and the opportunity to establish engineering practices adopted across the broader mobile organization.
### Accountabilities:
- Design, build, and launch high-quality Android growth and monetization features, including subscription paywalls, pricing experiments, advertising placements and mediation, in-app purchases, and upsell or upgrade flows.
- Own multiple concurrent experiments from hypothesis through production, translating rough ideas, data insights, or partially defined briefs into safely instrumented experiences.
- Partner with Product, Design, Data Science, and Analytics to translate hypotheses into shippable experiments, evaluate results, and determine subsequent product decisions.
- Challenge assumptions and proposed approaches when data or technical evidence suggests that a hypothesis or plan should be reconsidered.
- Use AI coding assistants and agentic workflows as first-class development collaborators for specifications, implementation, testing, analysis, code revi...