Founding Engineer, Consumer Apps
New
P
Placer.aiConsumer apps
Location: United States, RemoteFull-TimeLead
Salary200,000 - 240,000 USD per year
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Job Details
- Experience
- 6+ years of software engineering experience, including at least 4 years on B2C products
- Required Skills
- PythonAndroidKotlinSwiftiOS
Requirements
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- 6+ years of software engineering experience, including at least 4 years building B2C products and consumer-facing mobile apps shipped to the general public.
- Have shipped consumer experiences and be able to explain UX decisions screen by screen.
- Have taken at least one consumer app from zero to launch as a founding or early engineer and scaled it after launch.
- Have deep expertise in Android/Kotlin or iOS/Swift and working fluency on the other platform, or equivalent cross-platform experience with native modules.
- Have experience integrating SDKs into consumer mobile apps.
- Have backend experience building APIs and data services on a cloud platform; Python and GCP are preferred.
- Have direct experience with App Store and Google Play review, including data-safety declarations and policy rejections.
- Demonstrate mastery of AI development tools, such as coding agents and AI-assisted design, testing, and code review, with concrete examples of their use.
- Be comfortable shipping early versions, evaluating data, and discontinuing work that does not perform.
- Have clear written and verbal communication and judgment to raise risks early.
Responsibilities
- Architect, build, and ship consumer apps for Android and iOS, along with backend services designed to scale to millions of users.
- Own the consumer experience across onboarding, permissions, engagement, and the app’s screens, using funnel data and user feedback to prioritize improvements.
- Build permission and consent flows that meet App Store and Google Play policy, in partnership with Legal and Privacy.
- Instrument attribution, installation, registration, permission grants, engagement, and retention so funnel drop-offs are measurable.
- Own analytics, A/B testing, experiment design, and funnel reporting.
- Ship small experiments, measure their results, and manage releases, store submissions, and review responses.
- Use AI coding, design, and testing tools as part of the development workflow.
- Integrate Placer’s data collection technology and work with R&D and Data Science to route data through the privacy pipeline.
- Build controls for device integrity, location spoofing, emulators, and duplicate accounts.
- Make technical decisions on stack, architecture, and vendors; own production monitoring, alerting, reliability, and cost.
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