$ cat jobs/senior-software-engineer-asana-31-36k-pln-coe-bee-talents-1eb583391078.json
Senior Software Engineer | Asana [31-36k PLN CoE]
Who are we? We're Bee Talents, an IT recruitment agency that has been helping clients from all around the world in building their technical teams since 2015. Today, we would like to invite you to participate in the recruitment process for Asana. Asana is a leading work management platform for human + AI collaboration. Over 170,000 customers like Accenture, Amazon, Anthropic, and Suzuki rely on Asana to align teams and accelerate organizational impact. Whether it’s managing strategic initiatives, cross-functional programs, or company-wide goals, Asana helps organizations bring clarity to complexity - turning plans into action with AI working alongside teams every step of the way. The company was founded in 2008, now has around 2,000 employees across 13 offices worldwide, and is scaling rapidly. Warsaw is one of its fastest-growing hubs, currently with ~150 people, with an ambitious goal of becoming Asana’s largest global location in the coming years. They have been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. At Asana, they're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve their mission. Currently, they're looking for a Senior Software Engineer who: - has around 6-12 years of commercial experience - has experience as a Fullstack Engineer with a backend focus (to join a) AI, b) Infrastructure or c) Product team) - is comfortable working on large, complex product systems - is able to make independent technical decisions and understands their impact on both product and business- - is flexible in terms of technology (JS/TS, Node.js, AWS, SQL/NoSQL, diverse backgrounds are welcome). Teams that we're looking people for: a) The AI Retrieval team powers the intelligence behind Asana's AI features by finding relevant work graph content and delivering it to LLM context windows. Our wor
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