8 дней назад
Staff+ Software Engineer, Enterprise Knowledge Work (AI)
405 000 - 485 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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