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Speak in San Francisco is seeking an engineer to build the business side of its AI language tutor platform, developing partner portals, admin dashboards, reporting, and the subscription and billing flows. The ideal candidate has hands-on production experience with TypeScript, Node.js, and Postgres and is comfortable moving between frontend and backend.
This role sits at the intersection of product, engineering, and business, turning enterprise requirements into practical scope and durable
This role builds the business side of a language learning app: partner portals, admin dashboards, reporting, and subscription and billing flows. A strong candidate brings years of production web work in TypeScript, Node.js, and Postgres, plus comfort moving between frontend and backend. The job also asks for sound product and business judgment, since enterprise requirements must be turned into practical scope and durable systems.
The company's product is itself an AI tutor, so the engineer works at a place where AI is the core offering. On the job, AI assisted tooling is part of the daily workflow, with plans and designs reviewed before building and strong checks before shipping. What stays human is judgment about architecture, privacy, data integrity, and safe rollouts, plus the cross team communication that AI cannot carry.
A person here would gain hands on practice using AI tools to plan, build, and verify enterprise features, with an emphasis on checking work carefully rather than trusting output. They would also learn how an AI driven learning product is packaged for business customers, including entitlements, reporting, and integrations. Building that mix of AI assisted delivery and enterprise system design is the experience worth seeking.
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An AI language tutor app that gets learners talking, with spoken conversation practice and real-time feedback.