Senior Director of Engineering, Native Data

About the Role

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. Your mission is to make our dataset the best in the world. You will own the engineering organization responsible for Apollo's core data platform, including data acquisition, enrichment, quality, freshness, and distribution. This is a high-leverage leadership role where you will own critical areas like Native Data, Waterfall Enrichment, and Scraping & Extension, and grow the organization as the platform expands.

Responsibilities

• Own the engineering strategy and execution for Apollo's core data platform, partnering with the CTO and co-founder.
• Lead and grow the teams responsible for Data, including scaling the Native Data team.
• Build systems that leverage signals from Apollo's active users, data network, browser extension, web data, customer CRMs, and other sources to improve the dataset.
• Develop a deep understanding of data coverage, quality, confidence, and freshness.
• Create systems to identify and refresh stale or out-of-sync data.
• Work on vendor selection and diversification.
• Establish feedback loops across the GTM platform to continuously improve data quality.
• Own systems for data ingestion, distribution, enrichment, scraping, ETL, reverse ETL, and synchronization.
• Lead monitoring, dashboards, and quality benchmarks for data freshness and accuracy.
• Join Apollo’s Executive Staff and partner with cross-functional teams on long-term data strategy.

Qualifications

• Track record of leading high-performing engineering teams for large-scale data or distributed systems.
• Deep technical understanding of data infrastructure, distributed systems, databases, ingestion, synchronization, and data quality.
• Experience operating systems where correctness, freshness, reliability, scale, and cost are critical.
• Ability to build and grow engineering teams while maintaining high technical standards.
• Comfort in balancing organizational leadership, product strategy, and technical discussions.
• Strong judgment in building, buying, integrating, or redesigning critical infrastructure.
• Ability to lead through ambiguity and turn complex problems into clear direction.
• Record of attracting, developing, and retaining exceptional engineers and leaders.
• Fluency with AI-assisted development and a clear perspective on AI's impact on engineering and data systems.

Pay

Tier 1 Pay Range (San Francisco, New York City, Seattle): $401,900—$502,300 USD
Tier 2 Pay Range (All other US Locations): $349,400—$436,800 USD

Benefits

• Equity, company bonus, or sales commissions/bonuses.
• 401(k) plan, at least 10 paid holidays, flex PTO, and parental leave.
• Employee assistance program and wellbeing benefits.
• Global travel coverage.
• Life/AD&D/STD/LTD insurance.
• FSA/HSA and medical, dental, and vision benefits.

How We Work

Apollo is an AI-native engineering organization. You will set the standard for using AI and agents to accelerate design, implementation, investigation, and operations. Identify opportunities where AI can transform how Apollo acquires, validates, enriches, reconciles, and maintains data at scale.

Why You’ll Love Working at Apollo

At Apollo, we’re driven by a shared mission to help customers unlock their full revenue potential. We take extreme ownership, move with focus and urgency, and learn voraciously. We invest in your growth, encourage bold ideas, and foster collaboration. If you’re looking for a place where your work matters and your career can thrive, Apollo is the place for you.