
51 - 200 funcionários
Fundada em 2013
💰 $12.200.000 Series A em 2020-02
A Process Street é uma plataforma moderna de gestão de processos para equipes. Ajudamos as equipes a compartilhar seus processos essenciais e, em seguida, transformá-los em fluxos de trabalho no-code poderosos.
🕒 6 dias atrás
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
Fundada em 2013
💰 $12.200.000 Series A em 2020-02
A Process Street é uma plataforma moderna de gestão de processos para equipes. Ajudamos as equipes a compartilhar seus processos essenciais e, em seguida, transformá-los em fluxos de trabalho no-code poderosos.
• Architect and evolve backend systems using Scala, Play, Postgres, and AWS • Design and deploy scalable APIs and AI-assisted services • Own feature development end to end from ideation to production • Build frontend features using React, Chakra, Storybook, and modern state tools • Develop and maintain agent-driven development workflows • Use Claude Code and Codex to accelerate implementation, debugging, and refactoring across parallel sessions • Create internal tooling, prompts, and engineering systems to improve velocity and code quality • Optimize performance across frontend, backend, and AI-assisted pipelines • Define best practices for AI-native software development • Eventually lead a small team of 2–3 engineers and shape how they work with AI • Solve problems during six-week Shape Up cycles and improve systems, tooling, or explore ideas during two-week cooldowns • Collaborate asynchronously and autonomously across a global remote team
• 7+ years of software engineering experience • Strong experience with backend systems using Scala, Java, Ruby, or C# • Strong experience with JavaScript and React • Experience building and scaling SaaS products • Deep familiarity with AI coding tools such as Claude Code, Codex, and Cursor • Comfort working across multi-session, agent-driven workflows • Strong intuition for when to rely on AI versus manual implementation • Experience designing systems, not just implementing features • Excellent written communication • Residence in a timezone between UTC-6 and UTC+2 • Deep configuration and context-structuring knowledge of Claude Code or Codex • Experience experimenting with or building custom LLM development workflows • Experience with internal engineering tools, prompts, or AI “skills” • Experience with agent-like systems operating across files, repositories, or tasks • Comfort writing code, designing systems, prompting/guiding AI agents, and debugging AI-generated output
• “No Meeting” Fridays • Unlimited PTO policy; most take 3–4 weeks plus major holidays • Company-wide week off in December • Company offsite and sponsored small-group meetups • Social time including coffee chats, game-playing, story-telling, and house tours • Generous health insurance for US employees and their families, including dental and vision plans • Equity for all full-time roles • Flexible remote culture • Autonomous, asynchronous work environment
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