We are worker owned creative collective, innovating on everything from brands and IRL communities to IoT devices and cross platform apps. We share profit, open source everything, spin out new businesses, and invest in exciting ideas through financial and/or in-kind contributions.
Our client roster includes Google, Stripe, Figma, Hinge, Black Socialists in America, ACLU, Pratt, Parsons, Mozilla, The Nobel Prize, MIT, Gnosis, Etsy & Gagosian. We’re the software team behind innovative products like The Light Phone & Mill, and a global, decentralized community space collective called Index Space.
We think of our garden3d as collective for creative people, prioritizing a happy, talented, and diverse studio culture. We work on projects that bring value to our world, and we balance deep care for the work we do with a genuine curiosity about life outside of our jobs.
Check out some of our writing →
https://garden3d.substack.com/p/expansive-brands
https://garden3d.substack.com/p/how-we-gave-away-63k-since-2021
https://garden3d.substack.com/p/managing-is-a-makers-skill
https://garden3d.substack.com/p/a-space-that-holds
https://garden3d.substack.com/p/were-not-a-traditional-agency
The 2024 garden3d retreat to Yosemite!
Our client is an early-stage AI startup based in NYC (but open to remote team members). The founders have experience building and scaling successful ventures including a 9-figure exit.
We’re looking for a Senior Data Engineer with deep expertise in designing and owning data pipelines, workflow orchestration, and complex data integrations. You’ll play a key role in evolving our data ingestion architecture, from an existing in-house, code-defined workflow system backed by queues, to a more scalable and observable orchestration layer using Prefect.
In this role, you’ll lead the development and optimization of pipelines handling both structured and unstructured data from a wide range of sources, including web crawls and scrapers. You’ll be expected to make architectural decisions, ensure reliability and scalability, and establish best practices for workflow design, monitoring, and performance as our data platform grows.