Назад
3 дня назад

Staff Software Engineer, People Products (AI)

320 000 - 405 000$
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, People Products (AI): Building full-stack AI-native tools and workflows across the employee lifecycle, with an accent on LLM applications, product engineering, and rapid prototyping. Focus on designing evaluations and prompts, making independent architecture decisions, and solving complex people-process problems through direct collaboration with HR teams, recruiters, and managers.

Location: Remote-friendly with travel required; staff are expected to work from one of the offices at least 25% of the time. The listed location is San Francisco, California, United States.

Annual salary: $320,000–$405,000 USD

Company

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

What you will do

  • Build full-stack, end-to-end products across the People Products portfolio.
  • Design and implement AI-native workflows, including tools, evaluations, prompts, and applications.
  • Work directly with HR teams, recruiters, managers, and other internal stakeholders to identify problems and iterate on solutions.
  • Make independent product and architecture decisions in a low-structure environment.
  • Contribute to the direction of the team, its products, and the use of applied AI in people workflows.

Requirements

  • 8+ years of relevant experience as a full-stack or product engineer.
  • Experience leading complex, multi-month projects or teams as a tech lead or equivalent.
  • Experience shipping LLM-native features or applications.
  • Ability to build independently from idea through production and make sound architectural tradeoffs.
  • Strong collaboration, communication, user engagement, and feedback skills.
  • Bachelor’s degree or equivalent education, training, or experience in a relevant field.

Nice to have

  • Familiarity with MCP or experience building Claude or LLM integrations in production.
  • Experience at an AI-native company or in a product-focused 0-to-1 engineering environment.
  • Experience with HR technology platforms such as Greenhouse, Workday, or Rippling.

Culture & Benefits

  • Work on unsolved applied AI problems with access to Claude capabilities.
  • High autonomy, rapid prototyping, and frequent shipping.
  • Collaborative, cross-functional environment with emphasis on communication and impact.
  • Competitive compensation, flexible working hours, vacation and parental leave, and office collaboration space.
  • Visa sponsorship is available, although sponsorship cannot be guaranteed for every role or candidate.

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