hirehire - Founding Design Engineer | CodeSpeak
Requirements
• You can design an interface, prototype it and ship it to production on your own. • You have strong design taste, and your portfolio shows it: UX, interaction design, information architecture and visual hierarchy. For this role the portfolio is critical. • You make complex information or a complex data model easy to read. Think maps with metadata or dense dashboards, with non-trivial state. Tools that read and write count for more than infographics or landing pages. • You have solid computer science and software engineering fundamentals, plus TypeScript, and deep experience building production apps with modern UI frameworks such as React. At least 3 years of delivering production software. • You understand the problems of engineers, because engineers are CodeSpeak's users. • You can say why you made each design choice. "I'm an artist, I see it this way" will not work here. • You are curious and self-directed, and you care about making programming better. You gather requirements and find projects yourself. • You actively improve your own workflow with AI-powered coding tools. • You work hard and can be reached when a task needs it. The team has no weekend-work culture. • You think fast and explain your reasoning clearly. • You speak Russian, which is the team's working language. This is a priority, not a hard rule, and a strong candidate without Russian will still be considered. • A background as a frontend engineer with good taste. Engineers from SwiftUI, desktop, mobile or full-stack are welcome if they visualise complex things very well. • Experience with complex data visualisation. • Some sense of what an early-stage startup is like. A big-tech engineer who knows what they are joining can fit, and so can a former co-founder. • A technical degree is not required. Self-taught people and people with degrees in geology or biology have done well in roles like this. • An unsolved problem with real room for your taste. The team is inventing a new way to represent programs, and you decide how it looks. • A boutique team of strong engineers, built carefully, who have built developer tools at Google, Databricks, Perplexity, JetBrains, Sourcegraph and Elastic. • An ML team of four, led by Emeli Dral. She co-founded Evidently, an evals startup, and co-authored a very popular Coursera course for data scientists. • Day-to-day work with Egor, Andrey and the tech lead. • Backing from Accel and from funds that also invested in Hugging Face and Mistral, with funding for several years. • A UK contract with a pension and medical insurance. • Autonomy. You set your own tasks and nobody hovers over you. • Work in AI, a field most people want to be in.
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