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Salary: USD 401,900 - 502,300 / annual
Apollo.io is a leading go-to-market platform trusted by over 500,000 companies globally. Founded in 2015, the company has raised approximately $250 million and is valued at $1.6 billion. Apollo provides sales and marketing teams with verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with engagement and conversion tools in a unified platform.
You will lead Apollo's core data platform engineering organization, owning the strategy and execution for how the company acquires, enriches, validates, and distributes data across its platform. 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.
Key responsibilities include:
- Own engineering strategy and execution for the core data platform, partnering with the CTO and co-founder
- Lead and grow teams responsible for data infrastructure, building a world-class engineering team with multiple Principal Engineers across geographies
- Scale the Native Data team to appropriate size for solving complex data challenges
- Build systems that leverage signals from active users, data networks, browser extensions, web data, customer CRMs, and other sources to continuously improve datasets
- Develop deep understanding of coverage, quality, confidence, and freshness of major data vectors
- Build systems for identifying stale or out-of-sync data and determining refresh strategies
- Create feedback loops across the GTM platform so signals like bounced emails and customer corrections improve underlying data
- 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 at scale
- Join Apollo's Executive Staff as a key decision-maker and subject matter expert on long-term strategy for Apollo's most important asset
- Set standards for how teams use AI and agents to move faster across design, implementation, investigation, and operations
- Identify where AI can fundamentally change how Apollo acquires, validates, enriches, and maintains data at scale
The role involves dealing with significant ambiguity around data source prioritization, event data versus relational data, and ensuring data coverage and quality remain best-in-class. Data latency is critical—fresher data is more valuable for triggering outreach.
REQUIREMENTS:
- 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 comfortably 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
- Genuine, current fluency with AI-assisted development and clear point of view on how AI changes engineering and large-scale data systems
