Назад
Company hidden
2 дня назад

VP, Data Platform & Engineering (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
c_level
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
VP, Data Platform & Engineering (AI): Building a portfolio of secure, contract-driven data products and automated pipelines that move food records from raw input to scored, published output with an accent on data quality, governance, and AI-native engineering. Focus on eliminating deployment bottlenecks, implementing gold certification by code, enabling agent-friendly access through MCPs, and establishing observability and least-privilege security.

Location: United States; Remote

Company

hirify.global is an AI-native company building a food intelligence platform at the intersection of AI, data, security, and human health.

What you will do

  • Build and operate a portfolio of internal data products with authenticated capabilities and clear contracts for domain teams.
  • Replace the single-gatekeeper deployment model with a production deployment regime that enables engineers to ship safely and independently.
  • Implement medallion architecture, gold certification by code, and separation of pipeline state from food facts.
  • Own data security and governance, including least-privilege access, trust boundaries, general availability of key data products, and retirement of ad-hoc database credentials.
  • Enable secure access through MCPs and other AI-friendly interfaces, while building automated and agentic workflows.
  • Manage data engineering individual contributors and establish observability, entity resolution services, and operational excellence across data practices.

Requirements

  • 10+ years of experience in data engineering, data platforms, or infrastructure, including team leadership.
  • Experience building data products and teams from zero to one.
  • Deep knowledge of data contracts, medallion or equivalent quality architecture, and promotion discipline.
  • Strong judgment in data security, least privilege, trust boundaries, and access control.
  • Fluency with AI-assisted and agentic engineering as a primary working model.
  • Strong SQL and systems thinking across UI, API, database, and infrastructure boundaries; ability to work in an ambiguous, fast-moving startup environment.

Nice to have

  • Experience with MCPs, capability layers, or API-first data access patterns.
  • Experience with observability tooling and production diagnostics.
  • Experience with Postgres, DuckDB, MotherDuck, and cloud infrastructure.
  • Experience building internal developer tooling or data-product platforms.

Culture & Benefits

  • Ownership of the platform and security foundation for a food intelligence platform.
  • Direct collaboration with the CDO on architecture and operations protecting the company’s core asset.
  • Competitive compensation and meaningful equity.
  • Opportunity to solve problems across AI, data, security, and human health with rapid impact.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →