Назад
19 часов назад

Engineering Leader (AI)

306 000 - 360 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
head
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

Текст:
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TL;DR
Engineering Leader (AI): Lead and scale Asana’s AI Teammates engineering pillar across platforms, agent orchestration, chat experiences, and enterprise workflows with an accent on reliable LLM systems, human-AI collaboration, and production-grade architecture. Focus on designing multi-system agent orchestration, scaling engineering organizations, and turning frontier AI capabilities into trusted enterprise products.

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

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

Company

Asana provides a work management platform for human and AI collaboration used by teams worldwide.

What you will do

  • Set strategy, goals, and execution priorities across the AI Teammates Platform, Experience, Chat Experience, and Agent Orchestration teams.
  • Own technical architecture for model rollouts, evaluation infrastructure, tool orchestration, MCP, proactivity engines, and observability.
  • Lead development of chat interfaces, onboarding flows, explainability, human-in-the-loop workflows, and enterprise 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, business, and external AI-lab stakeholders.

Requirements

  • 8+ years of software engineering experience and 4+ years leading multiple engineering teams or managers.
  • Deep expertise in applied AI, LLM evaluation, agent and tool orchestration, MCP, proactivity models, and production observability.
  • Experience with backend and systems reliability, complex full-stack interfaces, and enterprise governance and permissions.
  • Ability to manage architectural trade-offs, delivery risks, ambiguity, and multi-quarter investments.
  • Experience hiring, mentoring, and developing senior engineers and managers while supporting inclusive teams.
  • Strong communication skills across executive, technical, product, and enterprise customer contexts.

Culture & Benefits

  • Office-centric hybrid work model with a collaborative in-office schedule.
  • Mental health, wellness, and fitness benefits.
  • Career coaching and professional support.
  • Inclusive family-building benefits.
  • Long-term savings or retirement plans.
  • In-office culinary options and a focus on belonging, inclusion, and psychological safety.

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