--- title: 'Support Engineer at Anthropic' canonical: 'https://feeny.ai/job/support-engineer-anthropic-san-francisco-b9beyedep1d9' type: 'job' last_seen: '2026-09-11' --- # Support Engineer at Anthropic - **Company:** Anthropic - **Location:** San Francisco, CA / New York, NY / Seattle, WA - **Compensation:** $210k–$250k - **Posted:** 2026-05-22 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/anthropic/jobs/5228463008 ## Job description ## 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 be providing high-touch, deeply contextual support to a defined book of accounts — embedded in your customers' shared channels, known by name to their stakeholders, and partnering closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team. You'll bring deep knowledge of how each of your customers is built on Claude to every interaction, so you can investigate, diagnose, and resolve their most complex technical needs with nuance and speed — and ensure the right internal teams are engaged when needed. ## 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 internal Engineering and Product teams to drive resolution when needed - 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. 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](http://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](https://www.anthropic.com/candidate-ai-guidance) for using AI in our application process. ## About Anthropic ## Company Overview - **One-liner**: Anthropic is an AI safety and research company building reliable, interpretable, and steerable AI systems. - **Entity Type**: Private (Public Benefit Corporation) – [anthropic.com](https://www.anthropic.com/company) - **Headquarters**: San Francisco, CA, USA – inferred from job listings on [anthropic.com/jobs](https://www.anthropic.com/jobs?lang=us) - **Founded**: Not publicly available - **Founders**: Not publicly available (the company website lists Dario Amodei and Daniela Amodei on the Board of Directors but does not explicitly identify them as founders – [anthropic.com/company](https://www.anthropic.com/company)) ## Core Business - **Primary industry**: AI safety and research; frontier AI model development - **Target customers**: B2B – businesses, nonprofits, civil society groups, and end-users of its AI tools (e.g., Claude) - **Mission/purpose**: “Making AI systems you can rely on” and “the responsible development and maintenance of advanced AI for the long-term benefit of humanity” – [anthropic.com](https://www.anthropic.com/) and [anthropic.com/company](https://www.anthropic.com/company) ## Products & Services - **Claude**: AI assistant “designed to be helpful, honest, and harmless.” Deployed via API and direct interfaces for businesses, nonprofits, and individuals. Type: SaaS/API – [anthropic.com/careers](https://www.anthropic.com/careers) and [anthropic.com](https://www.anthropic.com/) ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company) - **Key Metric**: Total funding not disclosed in provided sources; the company operates with a large team and active hiring (56 open roles as of the search date) - **Notable Investors/Partners**: Not publicly available from the provided search results (the company page lists board members including Reed Hastings and Vas Narasimhan, but does not specify investors) - **Growth Signals**: 56 open roles across research, engineering, product, and operations; emphasis on scaling the team while maintaining a “high-trust, low ego” culture – [anthropic.com/jobs](https://www.anthropic.com/jobs?lang=us) ## Competitive Advantages - **Safety-first differentiation**: Anthropic treats AI safety as a systematic science, investing heavily in interpretability, steerability, and reliability research. - **Interdisciplinary team**: Researchers, engineers, policy experts, and operators work closely together; engineers often co-author research papers. - **Public Benefit Corporation structure**: Legally committed to long-term benefit of humanity, not just shareholder value – [anthropic.com/company](https://www.anthropic.com/company) ## Strategic Focus - **“Ignite a race to the top on safety”**: Pushing the industry toward safer AI through research, product deployment, and collaboration with governments and civil society. - **Act for the global good**: Making decisions that maximize positive long-term outcomes for humanity, including bold safety measures – [anthropic.com/careers](https://www.anthropic.com/careers) ## Why Work Here - **Culture**: “High-trust, low ego” organization that values what you can do over pedigree. About half of technical staff have no prior ML experience; half have PhDs. Engineers do research and researchers do engineering. - **Remote/hybrid policy**: Most staff are in the Bay Area and come to the office regularly; some work remotely and visit one week per month. Flexible during relocation. - **Benefits**: Comprehensive health/dental/vision, 22 weeks paid parental leave, fertility benefits (Carrot), $500/month wellness stipend, annual education stipend, home office stipend, daily meals in office, retirement matching, equity donation matching, visa sponsorship for eligible roles. - **Interview process**: Technical roles use live coding (Colab/CodeSignal); non-technical roles are conversational. Accommodations available. No internships currently – [anthropic.com/careers](https://www.anthropic.com/careers) ## Sources 1. [Anthropic Company Page](https://www.anthropic.com/company) 2. [Anthropic Homepage](https://www.anthropic.com/) 3. [Anthropic Careers Page](https://www.anthropic.com/careers) 4. [Anthropic Jobs Board](https://www.anthropic.com/jobs?lang=us) ## Other roles at Anthropic - [External Affairs, South Korea](https://feeny.ai/job/external-affairs-south-korea-anthropic-seoul-a7nxkng1fr5d) — Seoul, South Korea - [Solutions Marketing Manager, Cybersecurity](https://feeny.ai/job/solutions-marketing-manager-cybersecurity-anthropic-san-francisco-zzr2zdh1cev0) — San Francisco, CA / Washington, DC - [Solutions Marketing Manager, Healthcare & Science](https://feeny.ai/job/solutions-marketing-manager-healthcare-science-anthropic-san-francisco-h19djmmqw78y) — San Francisco, CA - [Social Escalations Program Manager](https://feeny.ai/job/social-escalations-program-manager-anthropic-san-francisco-sm93vmxek6vw) — San Francisco, CA / New York, NY / Seattle, WA - [Reseller Partner Manager](https://feeny.ai/job/reseller-partner-manager-anthropic-london-8zmvvvfzbcgy) — London, United Kingdom - [Executive Escalations Manager](https://feeny.ai/job/executive-escalations-manager-anthropic-san-francisco-3jw4c23c6894) — San Francisco, CA / New York, NY / Seattle, WA - [Partnerships Manager, US Public Health](https://feeny.ai/job/partnerships-manager-us-public-health-anthropic-san-francisco-hmvpv4y96v4x) — San Francisco, CA / New York, NY - [Strategic Account Executive, Tech](https://feeny.ai/job/strategic-account-executive-tech-anthropic-san-francisco-khv455swejxs) — San Francisco, CA - [Performance Engineer, Inference Engine](https://feeny.ai/job/performance-engineer-inference-engine-anthropic-san-francisco-jxvnvvb2b8e2) — San Francisco, CA / New York, NY - [Customer Trust Specialist](https://feeny.ai/job/customer-trust-specialist-anthropic-san-francisco-tgmf67zyhknf) — San Francisco, CA / New York, NY / Seattle, WA