Назад
5 дней назад

Engineering Leader (AI)

306 000 - 360 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Engineering Leader (AI): Leading and scaling the AI Teammates engineering pillar across platform, experience, chat, and agent orchestration teams with an accent on enterprise-grade AI systems, LLM evaluation, and human-AI collaboration. Focus on architecting reliable agentic workflows, integrating external tools through MCP, and growing multi-team engineering leadership.

Location: San Francisco, United States; office-centric hybrid schedule with in-office days on Monday, Tuesday, and Thursday. Work from home on Wednesdays is generally available; Friday arrangements depend on the role and partner teams.

Base salary: $306,000–$360,000 per year, plus potential equity and benefits.

Company

Asana provides a platform for human and AI collaboration used by teams worldwide to manage important goals and work.

What you will do

  • Lead strategy, execution, and goal alignment across the AI Teammates Platform, AI Teammates Experience, AI Chat Experience, and Agent Orchestration teams.
  • Own technical strategy for model rollouts, evaluation infrastructure, tool orchestration, Model Context Protocol, proactivity engines, and production observability.
  • Guide development of chat surfaces, discovery and onboarding flows, explainability features, human-in-the-loop workflows, and governance experiences.
  • Build integrations, Agent Skills, and MCP frameworks connecting AI Teammates with Slack, Salesforce, coding agents, and internal systems.
  • Scale the engineering organization by recruiting, retaining, and developing engineering managers and senior technical leaders.
  • Align engineering, product, design, security, legal, executive, enterprise customer, and frontier AI lab stakeholders.

Requirements

  • 8+ years of software engineering experience and 4+ years leading multiple engineering teams or managers.
  • Experience delivering complex production systems and driving multi-team strategy.
  • Deep expertise in applied AI, LLM evaluation frameworks, agent and tool orchestration, MCP, proactivity models, and observability.
  • Experience with backend and systems reliability, complex full-stack product interfaces, and enterprise governance and permissions at scale.
  • Strong strategic trade-off, risk management, communication, hiring, mentoring, and organizational development skills.

Culture & Benefits

  • Office-centric culture using a hybrid work model.
  • Mental health, wellness, and fitness benefits.
  • Career coaching and support.
  • Inclusive family-building benefits.
  • Long-term savings or retirement plans and in-office culinary options.
  • Inclusive environment focused on engineering excellence, psychological safety, and belonging.

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