About Lindy
We're on a mission to free humanity from work. What if your AI teammate could manage your inbox, run your calendar, manage your meetings, communicate with clients, and close deals?
As crazy as it sounds, humanity has already freed itself once — from hard, menial work. We’re just finishing the job, using AI agents to automate all knowledge work.
Our goal is to build AI employees that can collaborate with humans and other AI employees across all channels (email, Slack, Zoom, phone calls, etc), pursue ambiguous goals in dynamic contexts, and continuously learn from their experience.
As Lindy's first Data Engineer, you'll work closely with senior leadership (Lindy's CEO, GTM leads, and Head of Engineering) to uncover critical business insights from many sources of in-the-wild data (product analytics, BI/revenue information, customer reports, etc.). You'll be responsible for the end-to-end lifecycle of data, working closely with product and engineering to define key analytics metrics, combining that data into actionable insights, and communicating and disseminating those insights to leadership and across the company.
You'll also be in the driver's seat of our data infrastructure, iterating on Lindy's ETL pipelines, transformed tables, and other fundamental data engineering infrastructure. You'll be collaborating closely with Lindy's Head of Engineering and Director of Ops & Analytics in this capacity.
At Lindy, you can expect an environment with little process and high empowerment, paired with high expectations and a strong sense of urgency.
We are an in-office company, working from our downtown San Francisco office 4 days a week. We sponsor visas and cover relocation costs up to $20,000.
Data Infrastructure:
Analytics & Insights: