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5 дней назад

Senior Engineering Manager (FinOps)

136 125 - 283 750$
Формат работы
hybrid
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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TL;DR

Senior Engineering Manager (FinOps) (AWS/GCP): Leading the FinOps team to build platforms and tooling for cloud cost visibility and financial accountability with an accent on AI-driven operational efficiency and architectural modernization. Focus on implementing predictive forecasting models using AI/ML and transitioning manual reporting into AI-augmented oversight systems.

Location: Hybrid (USA)

Salary: $136,125 - $283,750 per year

Company

hirify.global is a global technology company providing foundational platforms and data products to connect brands and partners with millions of users.

What you will do

  • Manage and develop a hybrid team of engineers and analysts, incorporating AI-driven efficiencies into workflows.
  • Lead the roadmap for internal systems supporting cloud visibility and chargeback.
  • Modernize fragile processes into durable platforms using LLMs and natural language interfaces for non-technical stakeholders.
  • Implement predictive forecasting models using AI/ML to enhance monthly and annual financial planning cycles.
  • Partner with Finance/FP&A and senior leadership to translate technical cloud usage into business-relevant cost insights.

Requirements

  • 8+ years of experience in engineering, cloud platforms, data systems, or internal platform domains.
  • 3+ years of people management experience leading hybrid technical and analytical teams.
  • Deep expertise in AWS and GCP billing data, cloud cost structures, and cost allocation.
  • Experience with AI-assisted design or coding tools to accelerate delivery.
  • Bachelor’s degree in Computer Science, Engineering, Finance, or equivalent work experience.
  • Must be based in the United States (indicated by US-specific benefits and hybrid requirements).

Nice to have

  • Familiarity with prompt engineering and structured interaction with LLMs for data analysis.
  • Experience with Cloudability, BigQuery, Looker, or AWS Cost Explorer.
  • Experience within a Platform Engineering organization at a global scale.
  • Experience replacing repetitive data-cleansing tasks with AI-assisted workflows.

Culture & Benefits

  • Flexible hybrid work options with occasional in-person events.
  • Comprehensive healthcare and a strong 401k plan.
  • Additional perks including backup childcare and education stipends.
  • Inclusive culture supported by 11 employee resource groups (ERGs).

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