Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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