Build deep, durable context on each customer's architecture, integrations, and use cases so you can respond with nuance rather than from a script
Partner closely with the Customer Success Manager, Account Executive, and Applied AI team on each account as part of a single, coordinated account team
Capture technical feedback and product friction from your accounts and route it to Product with the impact data and detail needed to prioritize it correctly
Manage high-urgency issues for your accounts with extreme ownership, and coordinate cleanly with the broader Product Support team for continuous coverage
Help build the foundations of the Support Engineer function — runbooks, escalation paths, tooling, and the metrics we'll use 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 (Sales, CS, Applied AI) 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 networking concepts, cloud infrastructure (AWS, GCP), and IT environments
Experience working inside a customer's shared Slack or similar embedded-support model
Background as a Technical Account Manager, Support Engineer, or Designated/Premier Support contact at a developer-platform or infrastructure company
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$210,000—$250,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
