Senior Director of Engineering, Native Data

Apollo.io

. Own engineering strategy and execution for Apollo's core data platform, partnering with the CTO and co-founder .

Posted 9/22/2026full-timeSan Francisco • California • United StatesSenior💰 $401,900 - $502,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering strategy and execution for large-scale data platforms, with a focus on data quality, infrastructure, and team development. Proficient in leveraging AI to enhance data acquisition and management processes.

Highest-signal resume keywords

Data InfrastructureDistributed SystemsData QualityEngineering Team LeadershipAI-Assisted Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData SynchronizationETLReverse ETLData EnrichmentData MonitoringData ArchitectureData FreshnessData AccuracyData Quality Benchmarks

Soft Skills

LeadershipStrategic ThinkingJudgmentProblem SolvingCommunication

Industry Keywords

Data EngineeringData PlatformsData SystemsVendor ManagementCustomer Relationship Management

Tech Stack

Tools & technologies

ApolloDistributed SystemsETL

About the role

Key responsibilities & impact

Own engineering strategy and execution for Apollo's core data platform, partnering with the CTO and co-founder
Lead and grow the data engineering teams and build a world-class engineering organization
Scale the Native Data team to the appropriate size
Build systems using signals from active users, the data network, browser extension, web data, customer CRMs, and other sources
Understand and improve coverage, quality, confidence, and freshness of major data vectors
Identify stale or out-of-sync data and determine refresh strategies
Work with Sales to understand customer wins and losses related to data quality
Select and diversify vendors
Create feedback loops using bounced emails, stale phone numbers, and customer corrections
Own systems that ingest and distribute data across Apollo's platform
Lead architecture for large-scale enrichment, scraping, ETL, reverse ETL, and data synchronization
Own monitoring, dashboards, and quality benchmarks for data freshness and accuracy
Join Apollo's Executive Staff and advise on long-term strategy for Apollo's core data asset
Set standards for AI and agent use across design, implementation, investigation, and operations
Identify ways AI can transform data acquisition, validation, enrichment, reconciliation, and maintenance

Requirements

What you’ll need

Track record of leading high-performing engineering teams responsible 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 all matter
Experience building and growing engineering teams while maintaining a high technical bar
Ability to move between organizational leadership, product strategy, and deep technical discussions
Strong judgment around when to build, buy, integrate, or redesign critical infrastructure
Ability to lead through ambiguity and turn complex technical problems into clear direction for multiple teams
Record of attracting, developing, and retaining exceptional engineers and engineering leaders
Current fluency with AI-assisted development and a clear point of view on AI's impact on engineering and large-scale data systems

Benefits

Comp & perks

Equity
Company bonus
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program
Wellbeing benefits
Global travel coverage
Life, AD&D, STD, and LTD insurance
FSA/HSA
Medical, dental, and vision benefits
Resources, support, and autonomy for professional growth
AI-native culture and opportunities to use AI and automation
Collaboration across departments