Harvard Business Publishing

Harvard Business Publishing (HBP) – the leading destination for innovative management thinking. We reach lifelong learners to improve the practice of management in a changing world. This mission inspires each of us to unlock the leader in everyone – including you! The opportunity: The AI Developer (AID) at Harvard Business Publishing (HBP) will play a pivotal role in driving innovation and enhancing the company's product offerings through the application of AI and ML technologies to enhance the value delivery and interactivity of our product experiences across diverse modes of engagement. This position involves supporting product teams in rapid prototype development to test and learn about new product experiences, supporting and equipping product leads with knowledge and tools to help them pursue new AI-enabled product concepts, and facilitating collaboration cross-functionally to leverage core ML and AI infrastructure throughout HBP. The ideal candidate will have a strong background in AI development, experience with ML infrastructure, and a passion for innovation. What You’ll Do: Support product teams in building new AI-enabled features: Contribute to technical vision and participate directly as a technical resource in product development, focusing on innovation with data and AI to create cutting-edge solutions. Work closely with HBP product teams to develop and iterate on prototypes quickly, ensuring that AI and ML capabilities are effectively integrated into new product ideas and that we can test and learn more quickly over time by reusing shared AI capabilities Facilitate technical interoperability: Act as a bridge between HBP product management, data engineering, production software engineering, and partner technical teams at HBP and HBS to extend and leverage core ML and AI infrastructure across development stages from prototyping to production Develop and maintain ML and AI infrastructure: Work in consultation with partner technical teams at HBP and HBS to develop and maintain the infrastructure needed for product-facing ML and AI applications, such as an LLM chat interface, a vector store for RAG, predictive ML workflows with automated triggers, and ML Ops tools, within AWS and snowflake environments Contribute to data engineering: Ensure quality and integrity of user, content, and market data by collaborating with the Data Engineering team to build and maintain data pipelines and product-facing APIs for HBP's central data warehouse relevant to products the AID is supporting Support data science and analytics: Contribute to design and execution of data science and analytics projects relevant to products the AID is supporting, such as inferring causal factors driving user intent, predicting user attributes, exposing insight from user activity to inform editorial and marketing decisions, and projecting potential revenue What you'll bring: