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Описание вакансии
Текст:
TL;DR
Principal Software Engineer (AI Platform): Leading the architecture of Asana's shared platform, including the Work Graph, APIs, events, reporting systems, extensibility layer, and shared product experiences with an accent on distributed systems, enterprise reliability, and AI agent governance. Focus on setting cross-organization technical direction, driving high-stakes replatforming and migration decisions, and developing senior technical leaders.
Location: New York office, United States; office-centric hybrid schedule with in-office days on Monday, Tuesday, and Thursday. Most employees may work from home on Wednesdays; Friday flexibility depends on the work and partner teams.
Base salary: $365,500–$380,000 per year, plus potential equity, incentive pay, and benefits.
Company
Asana provides a platform for human and AI collaboration used by millions of teams worldwide.
What you will do
- Set technical direction for the Work Graph, shared data model, APIs, events, reporting systems, extensibility layer, and shared product experiences.
- Lead high-stakes, long-term platform initiatives across R&D, Security, and Legal.
- Define platform design standards covering interfaces, separation of concerns, reliability, and functional guarantees.
- Make build-versus-buy, vendor, replatforming, and migration decisions while maintaining product delivery.
- Shape R&D strategy around AI agents, enterprise governance, and the future of work platforms.
- Resolve cross-organization technical decisions, mentor senior technical leaders, and represent platform engineering externally.
Requirements
- 12+ years of experience building production software and setting technical direction across large organizations.
- Experience building platforms used by other engineering teams at scale, with long-term architectural impact.
- Deep expertise in distributed systems, large shared data models, performance, and enterprise reliability.
- Experience leading a major replatforming or migration while continuing to serve customers.
- Ability to communicate with engineers and executives and translate between technical and business priorities.
- Experience developing staff and senior staff engineers into broader technical leadership roles.
Nice to have
- Experience with multi-tenant enterprise SaaS.
- Experience with security and data governance for AI systems.
- Curiosity about AI tools and emerging technologies.
Culture & Benefits
- Inclusive culture focused on collaboration, belonging, and varied backgrounds and perspectives.
- 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.
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