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 with a focus on Python.
  • Expertise in data engineering with experience building and maintaining ETL pipelines.
  • Familiarity with AI/ML tools like OpenAI and Anthropic, integrating pre-trained models into production.
  • Experience with data warehouses such as Snowflake, Redshift, or BigQuery.
  • Strong understanding of development practices including TDD and CI/CD.
  • Familiarity with AWS and containerization tools like Kubernetes.
  • Excellent communication skills and ability to work in a collaborative environment.

  • Design, develop, and maintain data pipelines from various sources.
  • Leverage APIs from AI/ML providers to integrate models into backend systems.
  • Write scalable, maintainable Python code to support AI-driven features.
  • Implement and manage data warehouses for efficient data storage and retrieval.
  • Design APIs for real-time delivery of context-rich data to AI models.
  • Follow Test-Driven Development practices for code quality.
  • Collaborate with product managers, front-end engineers, and AI/ML specialists.
Posted 2 months ago
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