Description
You're not looking for another feature factory job. You want control of the architecture. Real product ownership. And the chance to build something technically ambitious, not just another CRUD app with a chatbot bolted on.
This role gives you all of that.
You'll lead engineering for Legends, a D2C app that teaches emotional intelligence (EQ) the way people learn hard skills: structured, measurable, and repeatable. It's a greenfield opportunity to define the tech stack, shape AI-powered feature design, and ship production-grade code. All without red tape, ceremony, or legacy constraints.
You won't be doing sprint planning theater or filling in Jira tickets. You'll be solo-building with full autonomy, in a closed loop with growth. Your job is to turn product goals into a technical reality and then own the result, from the first commit to production release.
This is where top 1% engineers go when they want full-stack control, direct user impact, and the mandate to move fast.
What you will be doing
- Building specs with clear scope, architecture, and delivery timelines
- Writing full-stack JavaScript code (React + Node.js) with AI integrations that are clean, fast, and production-ready
- Running tight test-deploy loops to get working features into users' hands quickly
- Owning features end-to-end
What you will NOT be doing
- Attending alignment meetings to negotiate team dependencies or release cycles
- Working off of prescriptive task lists handed down from product managers
- Maintaining legacy codebases or spending time fixing minor bugs someone else created
Key responsibilities
Deliver a new version of Legends by independently defining, building, and shipping high-quality user-facing features.
Candidate requirements
- Proven ability to ship production-ready consumer software
- Full-stack JavaScript proficiency (React + Node.js)
- Fluency with modern AI tools/APIs (OpenAI, LangChain, etc.)
- Ability to translate UX/product goals into buildable architecture
- Comfortable working solo and owning end-to-end implementation
Nice to have
- Experience building native iOS apps
- Background in personalization, content delivery, or educational products
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
Pass Cognitive Aptitude Test.
Pass English Proficiency Test.
Prove Real-World Job & AI Skills.
Ace An Interview Or Two.
Accept Job Offer.
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Premium pay for premium talent
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Shortlist by skills, not bias
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