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Support Engineer

Job in Seattle, King County, Washington, 98127, USA
Listing for: Anthropic
Full Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    Technical Support, IT Support
Salary/Wage Range or Industry Benchmark: 210000 - 250000 USD Yearly USD 210000.00 250000.00 YEAR
Job Description & How to Apply Below

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

We are hiring Support Engineers to serve as the named, dedicated Product Support point of contact for Anthropic's most strategic enterprise customers. As a Support Engineer, you'll provide high‑touch, deeply contextual support to a defined book of accounts. You'll be embedded in customers’ shared channels, known by name, and partner closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team.

You’ll bring deep knowledge of each customer’s use of Claude to investigate, diagnose, and resolve complex technical needs.

Responsibilities
  • Serve as the named technical support contact for a defined book of strategic enterprise accounts, embedded in customer channels and joining recurring account cadences as the support voice
  • Own your customers' technical support needs end to end — investigate, diagnose, and resolve complex issues directly, and partner with Engineering and Product teams to drive resolution when needed
  • Build deep context on each customer's architecture, integrations, and use cases to respond with nuance rather than from a script
  • Partner closely with the Customer Success Manager, Account Executive, and Applied AI team as part of a single, coordinated account team
  • Capture technical feedback and product friction from accounts and route it to Product with necessary impact data and detail to prioritize it correctly
  • Manage high‑urgency issues for accounts with extreme ownership and coordinate with the broader Product Support team for continuous coverage
  • Help build the foundations of the Support Engineer function — create runbooks, escalation paths, tooling, and metrics to measure its value
  • Become an expert in all Anthropic products across the API, Claude for Enterprise, and Claude Code
You May Be a Good Fit If You
  • Have 5+ years in technical product support, with meaningful time in an escalated, priority, or named‑account support team for enterprise customers
  • Have been the person an enterprise customer knows by name and reaches for first when they need technical help
  • Are deeply fluent with APIs and technical SaaS products, and can read technical documentation, error logs, and request traces with ease
  • Have hands‑on experience troubleshooting SSO, SAML, OAuth, and enterprise authentication flows
  • Are persistent and curious — you delight in the hunt of tracking down a bug, and are energized by fixing it for every similar user going forward
  • Possess strong user empathy and crisp, kind written communication; you can translate between a frustrated customer engineer and an internal platform team without losing either
  • Are comfortable operating in ambiguity, making informed decisions in never‑before‑seen situations, and knowing when to pull the escalation cord
  • Enjoy building trust and collaborating closely with go‑to‑market partners without owning the commercial relationship yourself
  • Have contributed to the foundations of a support team before — the essential, often unglamorous work of writing the first runbook
  • Are excited about Anthropic's products and the opportunity to shape how the world’s largest companies get support for them
Strong Candidates May Also Have
  • SQL proficiency for querying logs and usage data to investigate issues
  • Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript)
  • Understanding of LLM capabilities, prompt engineering patterns, and current limitations
  • Familiarity with enterprise…
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