Apolloio Senior Director of Engineering, Native Data at Apolloio leads engineering strategy and execution for Apollo's core data platform. The role involves growing teams, scaling data systems, and improving data quality and freshness.
Responsibilities
Data is at the core of Apollo's product.
Our People and Company datasets, and the enrichment fields that make them useful, power nearly every part of the Apollo platform. We believe we already have one of the best B2B datasets in the world. Your mission is to make it the best.
This is one of the highest-leverage engineering leadership roles at Apollo. You will own three critical areas: Native Data, Waterfall Enrichment, and Scraping & Extension, and grow the organization as the platform expands. It’s an incredibly complex problem that involves not only identifying the right datasets and leveraging the information we get from indexing people and company data from across the internet, but also applying the logic that makes sure we always have the right information for every company and user. Also, in data, latency matters – the more fresh the data, the more valuable it is in triggering outreach. As a leader on the team, you will have to deal with significant ambiguity (e.g., what sources should we prioritize and why? How should we think about event data versus relational?) and work relentlessly to make sure our data coverage and quality are always best-in-class.
Data is the lifeblood that makes the execution and intelligence within Apollo work.
Own the engineering strategy and execution for Apollo's core data platform (partnering with Ray Li, Apollo’s CTO and co-founder)
Lead and grow the teams responsible for Data. Build and develop a world-class engineering team with multiple Principal Engineers across multiple geographies
Scale the Native Data team from current headcount to the right size to solve the problems described above
Build systems that leverage signals from Apollo's active users, data network, browser extension, web data, customer CRMs, and other sources to continuously improve our dataset
Develop a deep understanding of the coverage, quality, confidence, and freshness of every major data vector
Build systems for identifying when Apollo's data is stale or out of sync and determining when and how it should be refreshed. Work with Sales to understand when we win/lose customers based on our quality. Work on Vendor selection and diversification.
Create feedback loops across the GTM platform so signals like bounced emails, stale phone numbers, and customer corrections continuously improve Apollo's underlying data
Own the systems that ingest and distribute data across Apollo's broader platform
