6 дней назад
Senior Director of Engineering, Native Data (AI)
401 900 - 502 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Director of Engineering, Native Data (AI/data platform): Owning the engineering strategy for Apollo's core data platform, including native data, waterfall enrichment, scraping, extensions, and data synchronization with an accent on data quality, freshness, coverage, and reliability. Focus on scaling distributed data systems, building feedback loops from user and web signals, leading large-scale enrichment and ETL architecture, and developing high-performing engineering organizations.
Location: Hybrid, San Francisco; US-based salary tiers are provided
Salary: $401,900–$502,300 USD annually for San Francisco, New York City, and Seattle; $349,400–$436,800 USD annually for other US locations
Company
provides a SaaS go-to-market platform with verified B2B contact and company data, sales engagement, and conversion tools.
What you will do
- Own the engineering strategy and execution for Apollo's core data platform in partnership with the CTO and co-founder.
- Lead and grow the teams responsible for Native Data, Waterfall Enrichment, and Scraping & Extension.
- Build systems that use user activity, browser extensions, web data, customer CRMs, and other signals to improve datasets continuously.
- Develop systems for measuring and improving data coverage, quality, confidence, freshness, and synchronization.
- Lead architecture for large-scale enrichment, scraping, ETL, reverse ETL, data ingestion, and data distribution.
- Join the Executive Staff and guide long-term strategy across engineering, product, data, sales, and other functions.
Requirements
- Experience 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 are critical.
- Track record of building and growing engineering teams while maintaining a high technical bar.
- Ability to combine organizational leadership, product strategy, and deep technical discussions.
- Current fluency with AI-assisted development and a clear perspective on AI's impact on engineering and large-scale data systems.
Culture & Benefits
- AI-native engineering organization using AI and agents across design, implementation, investigation, and operations.
- Equity and annual bonus opportunities may be available.
- 401(k), medical, dental, vision, FSA/HSA, and life and disability insurance benefits.
- At least 10 paid holidays, flexible PTO, parental leave, employee assistance, and wellbeing benefits.
- Global travel coverage and a culture focused on ownership, learning, collaboration, and experimentation.
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