Чётко очерченная роль с высоким влиянием в ведущей AI-компании: есть серьёзная техническая ответственность и фокус на внедрении AI-систем в продукт.
Фокус на AI
Широкая ответственность
Перспективная сфера
Гибкий график
Выше рынка
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer, Support Technology (AI): Building support platforms, APIs, and Claude-powered agents that diagnose customer issues, resolve common problems, and drive product fixes with an accent on distributed systems, reliability, auditability, and customer-impact measurement. Focus on designing safe agentic workflows, scaling support infrastructure, and leading cross-team delivery of complex billing, enterprise, and partner integrations.
Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid policy with staff expected to work from an office at least 25% of the time; some roles may require more office time.
Annual salary: $405,000–$485,000 USD
Company
Anthropic is a public benefit corporation building reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
Set technical direction and build the core systems for customer support technology.
Build agents that identify recurring customer problems, find root causes, and drive product fixes with owning teams.
Develop tools, APIs, audited workflows, evaluations, guardrails, and human handoffs for Claude-powered support agents.
Create scalable support platform foundations for customers and specialists, including analytics on support issues and outcomes.
Extend support for enterprise customers, administrators, and partner-sold customers.
Set engineering standards for reliability, observability, testing, and rollouts; mentor engineers and lead across teams.
Requirements
Deep backend and distributed systems skills, including APIs, data models, event-driven systems, and third-party integrations.
Experience building production software and serving as a technical lead on multi-team projects.
Experience building systems where correctness, access control, and auditability matter.
Clear vision for how capable models such as Claude can improve customer support and motivation to build those systems.
Judgment about when to ship a simple fix versus investing in a platform.
Track record of leading without formal authority and getting other teams to own and ship fixes.
Minimum education: a bachelor’s degree or equivalent combination of education, training, and experience in a relevant field demonstrated through coursework, training, or professional experience.
Nice to have
8+ years building backend or platform systems in production, including 3+ years leading large-scale, complex projects or teams as an engineer or tech lead.
Experience building and improving customer-facing products with measurable impact.
Experience with billing, payments, or subscription systems.
Experience shipping LLM-based or agentic systems in production.
Experience with Intercom, Zendesk, Salesforce Service Cloud, or similar helpdesk and contact center platforms.
Experience building internal tools or platforms for support, risk, finance, or trust and safety operations.
Experience building data pipelines for support or operations analytics.
Full-stack experience, including web UIs for internal tools or customer-facing flows.
Experience with enterprise features such as SSO, admin controls, provisioning, partner integrations, or cloud marketplace integrations.
Experience setting multi-year technical direction and growing other senior engineers.
Culture & Benefits
Collaborative environment focused on reliable, trustworthy, and beneficial AI systems.
Competitive compensation, flexible working hours, and a collaborative office environment.
Generous vacation and parental leave.
Optional equity donation matching.
Visa sponsorship is available, although sponsorship cannot be guaranteed for every role or candidate; immigration lawyer support is provided.
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