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Manager, Software Engineering - AI and Data Platform

133 700 - 173 800$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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
Manager, Software Engineering - AI and Data Platform (AI/Data Platform): Leading teams building and operating an enterprise Data & AI platform for analytics, data products, machine learning, and agent-based experiences with an accent on lakehouse architecture, pipelines, feature services, and AI/ML enablement. Focus on scaling secure and cost-efficient platform infrastructure, modernizing legacy systems, optimizing operations, and developing high-performing engineering teams.

Location: Remote, United States of America

Starting base pay: $133,700.00–$173,800.00 per year

Company

hirify.global provides purpose-driven technology and responsible AI for organizations in the nonprofit sector.

What you will do

  • Lead teams building, operating, and evolving enterprise Data & AI platform capabilities for analytics, data products, machine learning, and agent-based experiences.
  • Own ingestion, transformation, lakehouse architecture, feature services, and AI/ML enablement layers.
  • Define platform decisions, roadmaps, milestones, and success metrics aligned with modularity, interoperability, and AI-first design.
  • Partner with Architecture, Governance, Security, Product, Data Science, Analytics, and Product Engineering on trust, compliance, Responsible AI, and delivery enablement.
  • Lead modernization, cloud migration, cost optimization, build-versus-buy decisions, monitoring, incident management, and performance optimization.
  • Hire, mentor, coach, and develop platform engineers across geographies while promoting standards across the Data Intelligence COE.

Requirements

  • 8+ years of experience in software, data, or platform engineering. Experience with .NET, Azure, Databricks, and ADO is preferred.
  • 3+ years of experience managing and developing data engineering teams.
  • Hands-on experience with modern data platforms, cloud data lakes or lakehouses, distributed processing, streaming, and APIs.
  • Strong understanding of platform engineering principles and operating production systems at scale.
  • Ability to lead through ambiguity and influence without authority.

Culture & Benefits

  • Remote-flexible workforce.
  • Medical, dental, and vision insurance.
  • 401(k) program with employer match, flexible paid time off, and generous parental leave.
  • Wellness programs, tuition reimbursement, pet insurance, and legal and identity protection.
  • Equal opportunity and diverse, inclusive work environment.

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