Bloomberg Connects is a rapidly growing, free platform that helps museums, galleries, and cultural spaces make their institutions, stories and dynamic content more engaging to audiences around the world. Launched in 2019, Connects features multimedia guides with unique content exclusive to each of our over 800 cultural institution partners across 33 countries.

As part of Bloomberg’s culture of giving back, Connects is a joint effort between Bloomberg and Bloomberg Philanthropies in support of their work to ensure better, longer lives for the greatest number of people by focusing on five key areas: the arts, education, the environment, government innovation, and public health.

We believe that technology opens doors, and we created Connects as a part of our mission to make art and culture accessible to all—in-person, at-home, and anywhere.

We are a team of designers, researchers, marketers, editors, engineers, and leaders working together to enhance our partner’s capacity to reach audiences around the world and improve their visitor experience. Built through empathy and research, qualitative and quantitative data, and experimentation and iteration, our products seek to delight and empower.

What’s in it for you?

• Shape Global Cultural Engagement: Directly impact how millions access and experience art and culture through a rapidly expanding platform.

• Build on Modern Tech: Leverage cutting-edge data warehousing and explore emerging technologies like LLMs and vector embeddings.

• Drive Product Strategy with Data: Play a key role in data-driven decisions, bridging research and analytics in a collaborative environment.

• Contribute to Philanthropic Mission: Align your work with a meaningful initiative supporting arts and cultural accessibility.

We’ll trust you to:

• Participate in a cross-functional agile team spanning design and engineering

• Connect and consolidate our full platform's data across multiple analytics, marketing and product systems

• Help our product team make data-driven decisions by providing quantitative data to accompany our research team's qualitative data

• Support data quality of the platform

You’ll need to have experience with:

• Build scalable data pipelines to support analytics & reporting

• 3+ years in software/data engineering

• Data warehouses (Google Big Query, Amazon Redshift, Databricks etc.)

• Proficiency in Python & SQL

• Experience with CI/CD tools such as Jenkins

• BA, BS, MS, PhD in Compute/Data Science, Engineering or related technology field

We’d love to see experience with:

• Building and maintaining APIs

• Vector embeddings/databases and Retrieval Augmented Generation

• Experience building data pipelines for search indexing