About Lindy
We're on a mission to free humanity from work.
As crazy as it sounds, humanity has already free itself once — from hard, menial work. We’re just finishing the job, and using AI agents to get us rid of knowledge work.
Our goal is to build "AI employees" which can collaborate with humans and other AI employees alike, over all channels (email, Slack, Zoom, etc), pursue ambiguous goals in changing contexts, and continuously learn from their experience.
Job Description
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 cycle of data, working closely with product and engineering to define important analytics to capture in new features, 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 Head 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.
Key Responsibilities
- End-to-end ownership of Lindy's analytics and BI aggregation, transformation, and reporting
- Collaborate closely with the founder/CEO, PMs, end engineering team to understand customer behavior and business health based on data, and come up with and help execute data-drive ideas to improve key business metrics
- Improve Lindy's data infrastructure with an eye towards pragmatism and urgency
Must haves
- 3+ years of data engineering experience
- The ability to work independently with little supervision and strong sense of impact
- Strong communication and collaboration skills
- Excitement work in-person 4 days a week from our downtown San Francisco office
- The mindset of:
- a data-oriented engineer who can build and maintain data infrastructure,
- a business strategist who can identify and communicate our business’ most pressing questions,
- and a data analyst who can turn questions and data into insights
- Mastery of SQL, data storage (Snowflake, BigQuery, MongoDB), ETL management (Fivetran), data transformation (dbt), Google Sheets, and BI reporting tools
Nice to have
- Statistics / data science background
- Python and Javascript proficiency
- Experience using Posthog
Benefits
- Competitive salary and generous equity
- Healthcare coverage
- Ownership and impact within your area of responsibility
- The fun of working at a no-nonsense startup that just wants to build an amazing product and business
If interested, email jack@lindy.ai with your resume or LinkedIn.
Compensation
- Salary Range $140K to $175K Base