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2 дня назад

Senior Manager, Enterprise AI Engineering (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Manager, Enterprise AI Engineering (AI): Building and scaling AI-powered tools, agents, retrieval systems, automations, and enterprise services with an accent on LLM infrastructure, integrations, security, and production reliability. Focus on leading AI engineers, evaluating models, designing reusable platforms, and translating cross-functional business needs into measurable production capabilities.

Location: Hybrid, with in-person collaboration three days per week in West Hollywood, California; Palo Alto, California; or Vancouver, British Columbia.

Company

hirify.global operates a global portfolio of dating products, including Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, and HER.

What you will do

  • Lead and grow a team of AI engineers delivering enterprise solutions across Finance, Legal, People, Marketing, Communications, Operations, and other functions.
  • Design and develop AI-powered tools, agents, retrieval systems, automations, and services.
  • Own enterprise AI architecture, including LLM Gateway, MCP Gateway, integrations, application and dashboard deployment, and model access management.
  • Take solutions from prototype through production in partnership with Engineering, Data, IT, Legal, Security, and Privacy.
  • Establish engineering standards, shared infrastructure, evaluation frameworks, and adoption practices for reliable, secure, and scalable AI applications.
  • Manage vendors and stakeholders while identifying, prioritizing, and measuring high-impact AI opportunities.

Requirements

  • 5+ years of relevant engineering and management experience, including hands-on work building and deploying AI-powered products or systems and managing engineering teams.
  • Experience with generative AI technologies, including LLMs, agentic workflows, RAG, evaluations, and model APIs.
  • Strong software engineering fundamentals and experience with production systems, APIs, integrations, data-driven applications, cloud architectures, security, and enterprise systems.
  • Experience taking AI or emerging technologies from prototype through production and adoption.
  • Experience leading engineers and complex cross-functional technical initiatives.
  • Ability to translate ambiguous business problems into practical technical solutions and communicate with technical, business, and executive stakeholders.

Nice to have

  • Experience building enterprise AI products or platforms used across multiple business functions.
  • Experience with enterprise AI architecture, cloud infrastructure, security, data integration, governance, and generative AI monitoring.
  • Experience creating reusable platforms, services, or components and scaling emerging technologies within a large organization.

Culture & Benefits

  • Collaboration is centered on working together in person three days per week.
  • Company values include ownership, speed, collaboration, candor, safety, and creativity.
  • Reasonable accommodations are available during the hiring process.

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