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23 часа назад

Engineering Manager (Experimentation Data Infrastructure)

254 000 - 381 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Engineering Manager (Experimentation Data Infrastructure): Leading a multidisciplinary team to build systems powering experimentation at scale with an accent on data ingestion, computation, and statistical engines. Focus on translating statistical methods and causal inference research into scalable production capabilities.

Location: San Francisco, CA (Hybrid)

Salary: $254,000 – $381,000 (SF Bay Area)

Company

hirify.global is a leading AI analytics platform that helps companies build better digital experiences through powerful AI Agents and data-driven insights.

What you will do

  • Lead and grow a multidisciplinary team of software engineers, data engineers, and data scientists.
  • Define the technical and scientific strategy for experimentation across Cloud and warehouse-native deployments.
  • Partner with data scientists to implement new statistical and causal inference methods as scalable product capabilities.
  • Evolve data and computation architecture to support complex experiment designs and large customer datasets.
  • Collaborate with customers to translate experimentation challenges into platform and methodology improvements.

Requirements

  • Strong data science background with hands-on experience in experimentation, statistics, or causal inference.
  • Experience leading teams of 10-15 members building data-intensive products.
  • Proficiency in experimentation methods such as variance reduction, sequential testing, Bayesian inference, or causal effects modeling.
  • Experience building large-scale data ingestion and distributed computation systems in cloud and warehouse environments.
  • Must be based in the US or authorized to work in the United States

Nice to have

  • Advanced degree in statistics, mathematics, computer science, economics, or a quantitative field.
  • Experience with experimentation platforms, feature management, or product analytics.
  • Experience with warehouse-native products like Snowflake, BigQuery, or Databricks.
  • Experience supporting experimentation for large-scale consumer or B2B products.

Culture & Benefits

  • Comprehensive benefits including medical, dental, and vision PPO/CDHP plans.
  • Company-sponsored 401(k) retirement plan and equity eligibility.
  • Unlimited PTO and 10-13 annual holidays.
  • Investment in growth through mentorship programs and management training.
  • Commitment to DEI, psychological safety, and human connection.
  • Charitable giving grants and paid volunteer time off.

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