Назад
Company hidden
22 дня назад

Director, Data Engineering, ML & AI (SaaS)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
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

Director, Data Engineering, ML & AI (SaaS): Leading the development of a next-generation data platform and AI capabilities with an accent on scaling high-performing engineering teams and embedding intelligence into sustainability products. Focus on architecting robust data infrastructure, deploying production-grade ML systems, and driving revenue growth through proprietary ESG data insights.

Location: Must be based in the United States

Company

hirify.global is the global leader in sustainability data for real estate, providing a comprehensive platform for measuring and managing environmental impact across trillions of dollars in assets.

What you will do

  • Define and execute the end-to-end data and AI platform strategy aligned with company priorities.
  • Architect and scale a modern, reliable data platform using technologies like Snowflake, dbt, and Airflow.
  • Lead the development of production-grade ML systems, including predictive modeling and generative AI.
  • Build and scale a high-performing team of data engineers, software engineers, and data scientists.
  • Translate AI capabilities into hirify.globale customer value and new revenue streams.
  • Partner with Product and Science teams to integrate complex ESG regulatory frameworks into scalable data products.

Requirements

  • Must be based in the United States
  • 10+ years of hands-on experience in data engineering, ML engineering, or applied AI.
  • 3–5+ years of leadership experience managing teams of 5 or more.
  • Proven track record of shipping ML/AI-powered product features at scale in a SaaS or data-platform environment.
  • Strong background in managing large-scale data projects and cross-functional stakeholder collaboration.
  • Ability to work hands-on and coach engineers on AI-driven engineering practices.

Nice to have

  • Experience in commercial real estate, sustainability/ESG, or cleantech sectors.
  • Familiarity with ESG frameworks such as GRESB, GHG Protocol, ENERGY STAR, CSRD, or TCFD.

Culture & Benefits

  • 100% fully remote work environment with flexible hours.
  • Comprehensive health and dental insurance including HSA options.
  • Matching 401k retirement plan.
  • Flexible PTO and paid holidays.
  • Monthly phone and internet reimbursement.
  • Stock options and bonus potential.

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 →