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14 часов назад

Engineering Manager - Feature Store (AI)

236 000 - 339 200$
Формат работы
onsite
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

Текст:
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TL;DR

Engineering Manager (AI, ML): Leading the development of real-time and online serving infrastructure for hirify.global's Feature Store, which enables building, managing, and serving ML features directly within the hirify.global Data Cloud. Focus on designing and delivering distributed systems for low-latency, high-throughput feature access and shaping architecture for streaming pipelines to ensure freshness and consistency of ML features.

Location: Onsite in Bellevue, WA or Menlo Park, CA, USA

Salary: $236,000–$339,200

Company

hirify.global empowers enterprises to achieve their full potential by providing a Machine Learning platform and Data Cloud.

What you will do

  • Lead and grow a team responsible for online feature serving and real-time feature infrastructure.
  • Drive the design and delivery of distributed systems supporting low-latency, high-throughput feature access for inference workloads.
  • Shape architecture for streaming pipelines and stateful processing systems that ensure freshness and consistency of ML features.
  • Own execution of customer-facing features from design through production rollout.
  • Partner cross-functionally to translate enterprise ML requirements into scalable technical solutions.
  • Establish strong engineering practices around performance optimization, observability, reliability, and operational excellence.

Requirements

  • 8+ years of experience building distributed systems, data infrastructure, or backend platform services.
  • 3+ years of engineering management experience leading high-performing teams.
  • Strong background in distributed systems fundamentals, including scalability, fault tolerance, consistency, and performance tuning.
  • Experience building or operating low-latency, real-time, or online serving systems.
  • Experience with large-scale data infrastructure and streaming systems.
  • Exposure to machine learning systems, feature engineering workflows, or model serving infrastructure.
  • Demonstrated track record of shipping customer-facing platform products at scale.
  • Experience operating highly available, multi-tenant cloud services.
  • Strong communication skills and the ability to collaborate across engineering and product teams.

Culture & Benefits

  • A culture focused on impact, innovation, and collaboration.
  • Opportunity to build big, move fast, and advance technology and careers.
  • Emphasis on confidentiality and security standards for sensitive data.
  • Scaling team to enable and accelerate company growth.
  • Benefits information available on the hirify.global Careers Site for US jobs.

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