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23 часа назад

Field Enablement & Operations Manager (AI)

119 000 - 200 000$
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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Описание вакансии

Текст:
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TL;DR
Field Enablement & Operations Manager (AI/Operational Analytics): Builds and operates operational-intelligence and field-enablement capabilities for global customer support field engineering with an accent on trusted reporting, systemic investigations, AI-enabled workflows, and performance measurement. Focus on detecting field risks, applying machine learning to root-cause analysis, standardizing governance and KPIs, and driving field-to-product issue closure across engineering, product, service, and data teams.

Location: Hybrid in Irvine, California, United States. Candidates must have valid authorization to work in the U.S.

Salary: $119,000–$200,000 per year, plus potential discretionary bonuses and incentives.

Company

hirify.global develops inflight entertainment and connectivity products, including movies, games, Wi-Fi, and Bluetooth headphone connectivity.

What you will do

  • Build trusted operational reports, dashboards, leadership reviews, customer-facing inputs, and decision-support views for Global Customer Support Field Engineering.
  • Lead complex field investigations by defining scope, affected populations, evidence confidence, ownership, recommended actions, and analytical playbooks.
  • Apply AI and machine-learning techniques to detect patterns, support root-cause analysis, and prioritize field risks.
  • Develop reusable frameworks, prompts, guides, training, onboarding, office hours, and self-service tools that improve field enablement and responsible AI adoption.
  • Standardize intake, prioritization, escalation, KPIs, scorecards, review cadences, closure mechanisms, and governance for systemic field issues and AI-enabled workflows.
  • Coordinate with customer support, engineering, product, incident management, service, operations, data, and AI stakeholders to drive field-to-product closure.

Requirements

  • 8+ years of progressively responsible experience in technical operations, field engineering, analytics, reliability, customer support, or performance improvement.
  • Bachelor’s degree in a relevant discipline or an equivalent combination of education and substantial applicable experience.
  • Advanced knowledge of operational intelligence, technical investigations, performance measurement, customer support operations, data quality, governance, and evidence traceability.
  • Hands-on proficiency with SQL and Python, complex operational data, business intelligence, analytics, and cloud-based data platforms.
  • Experience with AWS or an equivalent cloud data platform, APIs, workflow automation, and modern reporting environments.
  • Experience applying generative AI, LLMs, copilots, or agentic AI workflows in enterprise operational reporting, investigations, knowledge management, or decision support.

Culture & Benefits

  • Principles include contribution to society, fairness and honesty, cooperation, continuous improvement, courtesy, adaptability, and gratitude.
  • Flexible paid time off for exempt salaried employees and company-paid holidays.
  • Medical, dental, vision, life, disability, FSA, HSA, wellness, counseling, and insurance benefits.
  • 401(k) with a 50% match on contributions up to 8%, fully vested from day one.
  • Additional offerings include education assistance, commuter benefits, legal assistance, pet insurance, and an employee purchase program.

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