Назад
22 дня назад

Senior Staff Software Engineer (AI)

297 000 - 350 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior Staff Software Engineer (AI): Defining the technical vision and architecture for Asana's AI platform, agent systems, and Studio with an accent on enterprise-scale orchestration, model evaluation, and reliable LLM inference. Focus on leading cross-team architecture, building context and memory for agents grounded in the Work Graph, and solving reliability, latency, cost, security, and governance challenges.

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

Base salary: $297,000–$350,000 per year, plus potential equity and benefits.

Company

Asana is a collaboration platform building AI Teammates, agent orchestration across the Work Graph, and an AI platform for model access, retrieval, context, evaluation, and production quality.

What you will do

  • Define the technical vision and architecture for the AI organization, including the AI platform, agent systems, and Studio.
  • Lead cross-team initiatives covering agent runtime and orchestration, Work Graph-grounded context and memory, and enterprise-scale LLM inference.
  • Partner with Product, Design, Data Science, Security, and Legal to develop reliable and trusted AI features from prototypes to production.
  • Establish AI quality practices through offline and online evaluation, production monitoring, and usage-driven feedback loops.
  • Guide decisions on model and vendor strategy, build versus buy, and shared platform abstractions.
  • Mentor senior and staff engineers, develop technical leads, and represent AI engineering work through talks, writing, and the technical community.

Requirements

  • 10+ years of experience building production software, including significant experience leading technical work across multiple teams.
  • 3+ years building production systems with LLMs or machine learning, including agents, retrieval, evaluation, or inference infrastructure.
  • Experience leading architecture and strategic initiatives across organizational boundaries.
  • Strong knowledge of foundation models, agent frameworks, tool use, evaluation methods, distributed systems, reliability, latency, and cost optimization at scale.
  • Clear communication skills across engineering, product, business, and executive audiences, with a strong record of coaching senior and staff-level engineers.
  • Experience with multi-tenant enterprise SaaS, AI security, privacy, and data governance is beneficial.

Culture & Benefits

  • Office-centric hybrid culture with collaboration across engineering teams in San Francisco, New York, Vancouver, and Warsaw.
  • Mental health, wellness, and fitness benefits.
  • Career coaching and support.
  • Inclusive family-building benefits.
  • Long-term savings or retirement plans.
  • In-office culinary options supporting different dietary preferences.

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