About the role
What you'll do
Robust Development: Help lead our data engineering work, including event ingestion architecture, data infrastructure, and ML pipeline.
You'll need to build reliable services to ingest millions of events daily and process them into insights and alerts.
You'll own the HeadsUp product's core data pipelines and be responsible for scaling up data processing flow to the scale of our clients who have tens of millions of users.
You'll need to design intuitive, durable, and extensible APIs that scale.
You'll direct how data should be partitioned and how infrastructure should be set up, optimizing for security and latency.
You'll implement systems tracking the quality and consistency of data ingested by our clients.
You'll design abstractions that empower others to ship quickly by having a thoughtful and generalizable interface.
Technical Culture: Help define our engineering culture and processes. Question and challenge everything and teach us anything we’ve missed.
Close Collaboration with Product: Work closely with the founders to deeply understand our buyer and user persona and determine our roadmap.
What we're looking for
Experience building data-heavy systems: We’re using with on top of and . We work with data warehouses including and others, as well as third-party event sources such as .
Proficiency in at least one of the SQL languages ( , , , ).
Ability to see around corners and design both thoughtfully and quickly: While years of experience don't always correlate with this, we think you'll likely have at least 4 years of experience.
(Preferred) Experience with workflow management tools ( , , , ).
(Preferred) Startup experience: Our ideal candidate has completed 2+ year-long tours at venture-backed startups such as Airtable, Notion, and Figma. Specifically, we look for the ability to move quickly, design for scale, and build with open-source software.