AI-First Android Engineer

Grove Collaborative (https://himalayas.app/companies/grove-collaborative) is a sustainability-focused consumer products company creating household and personal care essentials that are effective, beautifully designed, and healthier for people and the planet. We are a certified B Corp, plastic-neutral, and on a mission to transform the CPG industry for good.THE ROLE Grove is hiring an AI-First Android Engineer — a senior, single-threaded owner of our Android surface who operates as an "engineer-as-a-team." This isn't a role where you hand-write every line and lean on AI for autocomplete. This is a role where AI is your primary instrument: you direct fleets of coding agents, generate, review, and refactor at orders of magnitude beyond what a traditional engineer can produce, and take total ownership of features end-to-end — from discovery through production. You will be measured by what ships, what stays up, and what customers feel — not by lines of code or tokens used. You operate in a new-world environment where one well-equipped engineer can deliver the output of a small team. We expect you to compound your own leverage every quarter: better prompts, better evals, better agent harnesses, better guardrails. The bar isn't "uses AI tools." The bar is "runs AI like a team you manage."WHAT YOU'LL OWNDirect multiple AI coding agents in parallel to design, build, test, and ship Android features in Kotlin against the Android SDK.Take total ownership of a slice of the Android app — discovery, scoping, architecture, implementation, QA, release, monitoring, and iteration.Run an "engineer-as-a-team" workflow — spawn agents for spec drafting, codegen, test generation, code review, refactoring, doc writing, and bug triage, then merge, judge, and ship.Develop and defend a strong point of view on what good Android code looks like inside Grove's architecture (Clean Architecture, multi-module Gradle with base/middleware/data/app, MVVM with DataBinding, Koin for DI, Coroutines/Flow, Moshi) so you can critically review AI output and reject what doesn't meet our bar.Design prompts, evals, and harnesses that make AI-assisted mobile development repeatable and measurable, not artisanal.Stand up automation that closes the loop: Fastlane lanes, CircleCI checks, AppCenter/Play Console distribution, device test farms, telemetry-driven rollback, and AI-powered review gates.Drive architecture decisions with AI as a research and prototyping partner — explore three options in a day instead of one in a week, including the path to introducing Jetpack Compose into a DataBinding/XML codebase.Collaborate with other engineers on architecture and trade-offs — bring designs for review before you ship them. Solicit business context from PMs, designers, and platform engineers; don't guess in isolation.Own production health autonomously — monitor Sentry, Datadog, Cloudflare, and Firebase to assess system health, triage incidents, and re-prioritize your own backlog without being asked. You set the queue; you don't wait for someone to tell you what's broken.Mentor the Heady contractor team on AI-native workflows and share learnings with mobile peers.Triage Sentry crashes, hotfix, and root-cause incidents with AI-assisted investigation and remediation (we already run Sentry's auto-fix agent — you'll push it further).ABOUT YOU5–8 years of professional Android development experience with a portfolio of shipped consumer apps at scale.Native, demonstrable fluency with modern AI coding tooling (Claude Code, Cursor, Copilot, Codex, agentic workflows) — you can walk us through a feature you shipped where AI did the majority of the coding and you did the orchestration.Strong, opinionated taste in Kotlin and modern Android architecture (Clean Architecture, MVVM, multi-module Gradle, Koin for DI, Coroutines/Flow, Moshi) — and a clear point of view on when MVI or Compose is worth introducing.Comfort working in a DataBinding/XML codebase today, with the judgment to drive a phased Compose migration when and where it's worth it (not a rewrite-from-scratch reflex).Experience integrating with REST + JSON:API-style backends and the Shopify Buy/Checkout SDKs at consumer scale.A bias toward owning end-to-end outcomes rather than handing off work at team boundaries — paired with the judgment to know when to pull another engineer in for an architecture review or business-context check.Genuinely autonomous in operation: you read Sentry/Datadog/Firebase/Cloudflare dashboards on your own, prioritize your own queue, and don't need a manager to surface what's on fire.Comfort writing prompts, evals, and guardrails — you treat AI as a system to be engineered, not a search box.Sharp written communication — specify clearly, review rigorously, and explain decisions to teammates. You'll drive async standups, design reviews, and Slack debugging sessions with a distributed team.A collaborative, ego-light disposition — orchestrators thrive when they care more about the result than th