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2 дня назад

Senior Engineering Manager, AI Teammates Platform (AI)

264 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Senior Engineering Manager, AI Teammates Platform (AI): Leading the AI Teammates Platform team, responsible for the execution engine and capability layer that powers AI Teammates with an accent on model integration, proactive agent behavior, and the developer platform. Focus on evaluating new LLMs, balancing execution quality against latency and cost, and building a platform for other engineering teams to build AI-powered features.

Location: Based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday.

Salary: $264,000 - $300,000

Company

hirify.global is a leading platform for human + AI collaboration, helping millions of teams worldwide achieve their most important goals faster.

What you will do

  • Lead and grow the AI Teammates Platform team of ~8 senior engineers, setting technical direction and driving execution on core AI agent capabilities.
  • Own the technical vision for the execution engine, including model integration, proactive agent behavior, and evaluation infrastructure.
  • Drive the team’s model upgrade pipeline by evaluating new LLMs and balancing execution quality against latency and cost.
  • Build and maintain the platform that enables other hirify.global engineering teams to build AI-powered features on top of AI Teammates.
  • Partner with Product, Design, and Data Science to define and execute roadmap priorities that support hirify.global’s top company priority.
  • Collaborate with peer teams like Agent Orchestration and AI Chat on shared infrastructure, APIs, and cross-team initiatives.

Requirements

  • 7+ years of experience in software engineering, including 4+ years managing technical teams.
  • Applied AI experience is essential, including at least one year of hands-on experience building products on top of large language models.
  • Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
  • Strong technical foundation with the ability to guide architectural decisions in a fast-moving, ambiguous AI product space.
  • Experience building and scaling platform teams that serve multiple product surfaces and internal engineering consumers.
  • Effective cross-functional collaborator who builds strong partnerships across Engineering, Product, and Data Science.

Culture & Benefits

  • Mental health, wellness & fitness benefits
  • Career coaching & support
  • Inclusive family building benefits
  • Long-term savings or retirement plans
  • In-office culinary options to cater to your dietary preferences

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