Manager - Engineering AI

February 22

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Marigold

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Marigold is a company that specializes in AI-powered relationship marketing solutions. It offers a variety of products and services designed to help businesses build, maintain, and strengthen customer relationships. Their offerings include email marketing, personalized campaigns, and cross-channel customer engagement tools through platforms like Campaign Monitor, Cheetah Digital, Emma, Sailthru, Selligent, and Vuture. Marigold aims to enhance marketers' capabilities in data management, Real-time personalization, and customer loyalty, servicing industries such as agencies, financial services, higher education, media, and retail. Their goal is to transform marketing efforts into long-standing, meaningful customer relationships that maximize lifetime customer value.

Marketing • Relationship Marketing • Email Software and Services • Loyalty • Real-Time Personalization

1001 - 5000 employees

🤝 B2B

☁️ SaaS

📋 Description

• Collaborate with product, engineering, and data science teams to design, develop, and deploy highly scalable solutions using generative AI and machine learning • Build, manage and grow a mixed discipline team of data scientists, application developers, prompt engineers and quality engineers • Develop and maintain software engineered in Python (and/or Java) integrating with large language models and data technologies such as Clickhouse, Apache Iceberg, and SageMaker Feature store • Debugging flows across a complex environment; including troubleshooting eventing and ETL issues • Write and maintain comprehensive unit and integration tests for the software you produce • Optimize AI and machine learning models for accuracy, safety, performance and scalability

🎯 Requirements

• Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, or equivalent combination of education and experience • 7+ years of hands-on software development experience in Java or Python • Experience with Large Language Models, Retrieval Augmented Generation, Embeddings, and Vector Databases in a production environment • Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar • Experience working with structured and unstructured data, and using advanced data preprocessing techniques • Experience working in Agile or Lean teams, with a strong understanding of DevOps best practices (git, CI/CD, testing) • Familiarity with containerization tools like Docker, Kubernetes, EKS/ECS • Experience with data pipelines, ETL processes, and relational and NoSQL databases (e.g., MySQL, Clickhouse, MongoDB) • Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to non-technical stakeholders • Experience working with AWS services like EC2, S3, Lambda, and Redshift • Exposure to event streaming or pub/sub technologies like Kafka

🏖️ Benefits

• Generous time off (we call it Open Time Away) • Paid holidays • Birthday benefit day off • Retirement contributions • Employee-centric and supportive remote work environment with flexibility • Support for life events including paid parental leave