Role Overview
The Support Engineer position at Anthropic provides high-touch, dedicated technical support to key enterprise clients across San Francisco, CA, New York City, NY, and Seattle, WA. This role is ideal for professionals with extensive enterprise support experience who want to help shape how major organizations utilize advanced artificial intelligence models.
Key Responsibilities
Act as the named technical support contact for a designated group of strategic enterprise accounts, embedding directly within customer channels and attending recurring meetings.
Manage complex technical support needs end-to-end by investigating, diagnosing, and resolving issues independently or alongside internal engineering teams.
Develop deep familiarity with the architecture, use cases, and integrations of assigned customers to deliver tailored, contextual assistance rather than scripted responses.
Collaborate closely with account executives, customer success managers, and applied AI teams to form a unified account strategy.
Relay product friction and technical feedback directly to the product division with relevant impact data.
Handle high-urgency customer requests with extreme ownership and coordinate coverage alongside the broader support team.
Help establish foundational support operations, including documentation, runbooks, escalation workflows, and performance metrics.
Master the full suite of Anthropic offerings, including APIs, Claude for Enterprise, and Claude Code.
Requirements
Minimum of 5 years of professional experience in technical product support, specifically within escalated, priority, or named-account enterprise environments.
Demonstrated history of serving as a recognized, named technical point of contact for enterprise clients.
Strong fluency in APIs, technical SaaS products, and the ability to review error logs, request traces, and technical documentation.
Hands-on background troubleshooting enterprise authentication frameworks, including OAuth, SAML, and SSO.
Persistent problem-solving mindset with a passion for tracking down and resolving system bugs.
Exceptional written communication skills and user empathy to bridge communication between frustrated users and internal platform teams.
Capability to navigate ambiguity, make sound decisions under pressure, and properly escalate issues.
Strong collaboration skills for working alongside go-to-market teams without holding direct commercial responsibilities.
Prior involvement in building foundational support elements such as initial runbooks.
Bachelor’s degree or an equivalent combination of education, training, and professional experience in a relevant field.
Ability to meet the hybrid office policy by working from a local office at least 25% of the time.
Nice to Have
Proficiency with SQL for querying usage logs and investigating system data.
Comfort utilizing command line interfaces and basic scripting languages such as Python, JavaScript, and Bash.
Knowledge of large language model capabilities, limitations, and prompt engineering practices.
Familiarity with enterprise IT environments, cloud infrastructure providers like AWS and GCP, and enterprise networking.
Previous experience embedded inside shared Slack channels or similar customer-facing support models.
Background working as a Technical Account Manager or designated support representative at an infrastructure or developer-platform enterprise.
Skills and Tools
Python
SQL
AWS
GCP
JavaScript
LLM technologies and APIs
Salary and Benefits
Annual base salary ranging from $210,000 to $250,000 USD.
Competitive compensation and benefits package.
Optional equity donation matching.
Generous vacation time and parental leave policies.
Flexible working hours and collaborative hybrid office environments.
Visa sponsorship availability for qualified candidates.
About the Company
Anthropic is a public benefit corporation focused on building reliable, interpretable, and steerable AI systems that remain safe and beneficial for society. Operating as a collaborative group of researchers, engineers, and business leaders, the organization approaches AI research as an empirical science akin to physics and biology.
How to Apply
To apply for this position, please visit the official Anthropic careers page to submit your application securely.
