Startups · AI

Staff Software Engineer, Ads Measurement & Orchestration

Databricks · New York City, New York · On-site

← All jobs
About Databricks

Backed by Battery, Insight and Kleiner Perkins.

About the role

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Lead the ingest and normalization path for advertising platform data at scale, including rate limits, schema drift, backfills, and restated numbers
  • Design the aggregation and identity layers that make figures from different platforms comparable
  • Lead development of agentic workflows that parse performance data, interpret it, present it, and act on it
  • Set the correctness and evaluation bar in a domain where ground truth is noisy and partially observable
  • Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
  • 10+ years of engineering experience, including time as a tech lead or leading other tech leads, on complex enterprise software projects
More about this role

P-1607

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Enterprises spend more than $700 billion on digital advertising, however for the most part, they have very little data & intelligence on how their campaigns are performing. Reconciling that is slow, manual, and mostly wrong, and optimizing those campaigns historically has involved humans and agencies. We are building the data and agent layer underneath that problem, and we are looking for an engineer to help lead that effort.

  • Lead the ingest and normalization path for advertising platform data at scale, including rate limits, schema...

Read the full posting on Databricks's site ↗

Engineering - Pipeline

Build your edge while you search

Free tools for founders and investors, plus VC Unfiltered, our take on startups, venture and the people who build them.