Назад
8 дней назад

Staff+ Software Engineer, Enterprise Knowledge Work (AI)

405 000 - 485 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff+ Software Engineer, Enterprise Knowledge Work (AI): Building enterprise-facing products and core primitives that enable knowledge workers to collaborate with Claude across complete work objectives, with an accent on full-stack technical ownership, customer workflows, and model improvement. Focus on designing product architecture, shaping evaluations, translating enterprise feedback into engineering priorities, and setting technical direction for complex AI applications.

Location: San Francisco, CA or New York City, NY; hybrid policy requires staff to be in an office at least 25% of the time

Annual salary: $405,000–$485,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

  • Own the technical design and end-to-end delivery of enterprise-facing products across the stack.
  • Partner with product, design, and go-to-market teams to turn enterprise workflows into shipped products.
  • Set technical direction and standards for architecture, code quality, and team development practices.
  • Work with enterprise customers and sales to translate customer insights into engineering priorities.
  • Collaborate with research to improve models through evaluations, failure-mode analysis, and customer learnings.
  • Mentor engineers and build core primitives that help knowledge workers use Claude across industries and roles.

Requirements

  • 8+ years of software engineering experience, ideally including 2+ years at Staff or an equivalent technical leadership level.
  • Experience leading the design and delivery of complex customer-facing products across the full stack.
  • Experience building AI products and turning model capabilities into usable applications.
  • Comfort working directly with enterprise customers and translating their needs into technical decisions.
  • Experience building products from 0 to 1 in fast-moving environments and setting technical direction with limited precedent.
  • Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.

Nice to have

  • Experience working with research teams to improve domain-specific model capabilities and evaluation frameworks.
  • Startup founder or early-stage employee experience.

Culture & Benefits

  • Collaborative environment focused on large-scale AI research and long-term impact.
  • Frequent research discussions and strong emphasis on communication.
  • Flexible working hours and a collaborative office environment.
  • Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
  • Visa sponsorship is available, with immigration-lawyer support, subject to role and candidate eligibility.

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