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2 дня назад

Engineering Manager (AI/ML)

200 000 - 235 000$
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

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TL;DR
Engineering Manager (AI/ML): Leading an engineering team that builds, deploys, and operates machine learning models and services for fraud-free ecommerce with an accent on delivery, technical decision-making, reliability, and people leadership. Focus on partnering with data scientists, ML engineers, product owners, and risk stakeholders, driving architecture and design decisions, and improving engineering workflows through responsible AI tooling.

Location: United States (Remote)

Salary: $200,000–$235,000 annually, plus eligible stock options and an annual performance bonus of up to 10% of base salary.

Company

hirify.global provides AI- and machine-learning-powered fraud prevention and ecommerce protection for merchants worldwide.

What you will do

  • Lead, coach, and grow an engineering team responsible for machine learning models and production services.
  • Own roadmap delivery across feature development, technical debt, reliability, quality, testing, and monitoring.
  • Drive architecture discussions, design reviews, technical decisions, and implementation closure.
  • Manage priorities, risks, capacity, and roadmap communication across engineering, AI, product, and risk management stakeholders.
  • Champion responsible and cost-effective use of AI tools for research, administration, code generation, and decision-making.
  • Recruit engineers and develop technical leadership, career paths, psychological safety, and accountability within the team.

Requirements

  • 5+ years of experience as a software engineer, including experience in the machine learning domain.
  • At least 4 years of direct engineering management experience in an ML-focused environment; this must not be a first management role.
  • Technical fluency in architecture, data flows, system design, software development practices, cloud computing, big data, MLOps, and SLO-driven reliability management.
  • Professional experience using AI tools for research, administration, and code generation, with a responsible and cost-effective approach.
  • Strong stakeholder management, communication, influencing, prioritization, and constructive pushback skills.
  • Experience developing engineers through structured feedback, career paths, and high standards for quality and accountability.

Nice to have

  • Experience with Databricks, Spark, Airflow, Vertex, or the broader GCP technology stack.

Culture & Benefits

  • Remote role supporting the US organization.
  • Discretionary time off, paid parental leave, and company social events.
  • 401(k) matching, stock options, annual performance bonus, and a dedicated learning budget.
  • Health, dental, vision, FSA, disability, and life insurance coverage.
  • On-demand therapy for employees and dependents.

Hiring process

  • Reasonable accommodations are available for candidates who need individualized support during the interview process.

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