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You will own the technical architecture and delivery, hire and mentor a team of engineers, establish engineering standards, and collaborate with product, design, and customer-facing teams. Enjoy impactful work, work/life balance, competitive benefits, and a family-friendly environment.\nMissions\nOwn the technical architecture and delivery of Tulip’s new agent-native app-building product, ensuring high-quality and timely delivery.\nHire, mentor, and grow a team of 3-5 engineers, establishing engineering standards and fostering an AI-first development culture.\nCollaborate deeply with product, design, and customer-facing teams, taking shared ownership of outcomes and driving product success.\nProfil recherché\n - You bring high levels of technical acumen and people management skills, years of building and delivering SaaS products, and you’re energized by the chance to build at the edge of what AI models can do- You have strong opinions about agent architectures, context management, and building scalable systems, and you’re passionate about mentoring engineers and helping them grow\n- You’re a collaborative, motivated self-starter who leads from the front, brings your authentic self to work, and wants to help shape how this team operates as a reference point for AI-driven development across the broader engineering org\n- You have strong product-engineering instincts - you can prototype quickly, prune scope, and decide what to ship versus what to throw away\n- Expertise in contemporary tech stacks including React, Node.js, MongoDB, and Postgres, with experience deploying in multi-cloud and multi-tenant environments\n- 3+ years of people management experience leading a software development team, with hands-on technical leadership, architecting solutions, and staying close to the code\n- Bachelor’s degree in Computer Science or related field, or equivalent working experience\n- Experience building and scaling AI systems in production, including, agent orchestration and context management, retrieval pipelines and vector stores, tool invocation and MCPs\n- Active use of AI tooling in your own practice, with a point of view on how it changes the way teams build\n- 7+ years experience in software engineering, with experience building and scaling large SaaS products and complex distributed systems\n- Experience designing and running evaluations for agentic systems - 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