Nacelle

👥 51-100💰 8 months agoE-CommerceSaaSInformation Technology💼 Private Company
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Nacelle builds cutting-edge e-commerce platforms that deliver personalized shopping experiences. Our flagship product, Genesis, leverages AI and advanced data integration to create highly relevant, real-time content for merchants, driving conversions and improving overall performance. We're transforming the industry by empowering brands to craft dynamic, engaging customer journeys. We're a rapidly growing SaaS company backed by top-tier investors like Tiger Global, Index Ventures, and Inovia. Our engineering team is at the heart of this innovation, working with a modern tech stack including React, TypeScript, Python, and various AI/ML APIs (OpenAI, Anthropic). We are committed to Test-Driven Development (TDD) and building scalable, maintainable solutions. We embrace a remote-first culture, fostering a collaborative and flexible work environment. Nacelle's culture values innovation, continuous learning, and a collaborative spirit. We're passionate about solving challenging problems and building exceptional products. Our team works closely together, across disciplines, to deliver game-changing features at startup speed. We offer competitive compensation, robust benefits, and significant growth opportunities within a dynamic and rapidly expanding company. With several successful funding rounds, Nacelle is poised for continued expansion and market leadership. We're seeking talented engineers to join our team and help shape the future of personalized commerce. Join us and be part of something truly groundbreaking.

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🧭 Full-Time

💸 165000.0 - 200000.0 USD per year

🔍 ECommerce

  • 6+ years of experience as a software engineer focusing on Python and backend development.
  • Expertise in data engineering and building ETL pipelines.
  • Familiarity with AI/ML tools such as OpenAI and Anthropic.
  • Experience with data warehouses like Snowflake, Redshift, or BigQuery.
  • Strong understanding of TDD, design patterns, and CI/CD pipelines.
  • Familiarity with cloud platforms (AWS) and containerization tools (Kubernetes).
  • Excellent communication skills for cross-functional collaboration.

  • Design, develop, and maintain data pipelines pulling from various sources.
  • Leverage APIs from AI model providers for backend integration.
  • Write scalable and maintainable Python code for AI features.
  • Implement and manage data warehouses for large datasets.
  • Design APIs for real-time data delivery to AI models.
  • Follow TDD practices for high-quality code.
  • Collaborate with product managers and engineers to create seamless experiences.
Posted 2 months ago
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