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2 дня назад

VP, Data Engineering (AI)

300 000 - 380 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
VP, Data Engineering (AI): Building and leading the data function for an AI operating system serving CPG brands, covering ingestion, warehouse infrastructure, modeling, reporting, quality, and governance with an accent on end-to-end ownership and scalable data architecture. Focus on building the data organization, making architecture and tooling decisions, establishing reliable metrics and pipelines, and staying hands-on with SQL and implementation as the team grows.

Location: NYC Office, United States; onsite. Paid relocation support to NYC is available.

Salary: $300K–$380K annually, plus equity and annual performance bonus.

Company

hirify.global builds an AI operating system for CPG brands that unifies cash application, deductions, trade, and planning.

What you will do

  • Own data end to end, including ingestion from product databases, event tracking, and third-party tools.
  • Lead warehouse design, orchestration, pipelines, infrastructure, and related costs.
  • Define shared data models and metric definitions for internal and customer-facing reporting.
  • Establish standards for testing, documentation, monitoring, on-call, access controls, and data privacy.
  • Build and lead the data organization, beginning with the Senior Analytics Engineer, including hiring and people development.
  • Set the data roadmap, make architecture and build-versus-buy decisions, and partner with Engineering, Product, Ops, and Customer teams.

Requirements

  • 10+ years of experience in data engineering, analytics engineering, or a similar field, including 4+ years leading data teams.
  • End-to-end ownership of data from ingestion through reporting.
  • Experience building a data function from an early or messy state, growing the team, and keeping it operational.
  • Strong SQL and data modeling skills.
  • Experience with Snowflake, dbt, Airflow, Dagster, or similar tools.
  • Experience hiring effectively, including senior team members.
  • Ability to turn business requests for better data into a plan and explain or defend trade-offs with leadership.
  • Comfort working hands-on initially and delegating as the team grows.

Culture & Benefits

  • Equity and a fully equipped workspace, including a laptop, monitor, keyboard, and $200 setup stipend.
  • Fully paid employee health coverage through Aetna, plus dental and vision coverage through Guardian.
  • Carrot Fertility Pro, 12 weeks of paid parental leave, and unlimited PTO.
  • Regular four-day holiday weekends, catered Friday lunches, team dinners, and unlimited coffee and snacks.
  • 401(k) through Vestwell and paid relocation support to NYC.

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