Full-Time
Product Support Specialist
Updated on 9/4/2026
Anthropic
5,001-10,000 employees
Develops reliable, interpretable AI systems
Compensation Overview
$131k - $210k/yr
H1B Sponsorship Available
Seattle, WA, USA + 2 more
More locations: San Francisco, CA, USA | New York, NY, USA
Hybrid
Staff must work from one of the listed offices at least 25% of the time.
Bachelor's
 Customer Experience & Support (1) |
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- Several years of technical product support experience at a high-growth technology company, including hands-on application programming interface debugging, ideally on a tier-two, escalated, or priority support team.
- Experience supporting enterprise or strategic accounts, including executive-level communication, escalation management, and collaboration with account and engineering teams.
- Fluency with application programming interfaces and technical software-as-a-service products, with the ability to read technical documentation and reason about customer architectures.
- Experience troubleshooting single sign-on, Security Assertion Markup Language, and OAuth authentication flows.
- Ability to perform effectively in fast-paced, reactive situations while meeting core support metrics such as customer satisfaction and service-level agreements.
- Strong user empathy and mastery of the support case lifecycle.
- Clear, considerate written communication and careful attention to detail.
- Persistence and curiosity when tracking down and resolving bugs.
- A strong sense of ownership and genuine interest in Anthropic’s products.
- A bachelor's degree or an equivalent combination of education, training, and/or experience in a field relevant to the role, as demonstrated through coursework, training, or professional experience.
- Provide high-touch support to strategic customers, communicating with varied user personas and adapting between executive incident guidance and product knowledge support for administrators.
- Serve as an escalation point for complex technical issues by reproducing customer issues, using logs and traces, and providing solutions with engineers.
- Troubleshoot single sign-on, Security Assertion Markup Language, and OAuth authentication flows and integrations between Anthropic products and customer infrastructure.
- Partner with engineers, teammates, and internal stakeholders to diagnose and resolve user issues individually and at scale.
- Manage on-call tasks for high-urgency user issues.
- Respond to user support cases ranging from individual questions to complex application programming interface debugging for large businesses.
- Develop expertise in Anthropic products and investigate unexpected product behavior.
- Identify technical knowledge gaps, work with cross-functional partners to understand relevant nuances, and build scalable team resources.
- Suggest and drive support-process improvements that increase user satisfaction, and own initiatives that improve efficiency and reduce contact rates.
- Make informed decisions in ambiguous, unprecedented situations.
- Prioritize critically and adapt to an evolving product landscape.
- Comfort with command-line interfaces and basic scripting using Bash, Python, or JavaScript.
- SQL proficiency for querying logs and investigating issues.
- Understanding of large language model capabilities, practical applications, and current limitations.
- Familiarity with enterprise networking concepts and information technology infrastructure.
- Familiarity with Git workflows and version-control concepts.
- Experience supporting government or public-sector customers, including compliance requirements and security frameworks.
- Background in team-lead roles or managing contract/vendor support teams.
Anthropic focuses on AI research to build reliable, interpretable, and steerable AI systems. Its main product, Claude, is an AI assistant designed to handle tasks at any scale for clients across industries, delivered through deployment and licensing along with specialized AI R&D services. Claude works by combining natural language processing, human feedback, reinforcement learning, and interpretability techniques to produce a capable, controllable AI assistant that can assist with a wide range of tasks. The company differentiates itself from competitors by prioritizing safety, transparency, and controllability—emphasizing reliability, interpretability of model behavior, and user-controlled steerability in its AI systems. Anthropic’s goal is to make AI systems that people can trust and efficiently use to improve operations and decision-making across sectors.
Company Size
5,001-10,000
Company Stage
Debt Financing
Total Funding
$182.8B
Headquarters
San Francisco, California
Founded
2021
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Simplify's Take
What believers are saying
- Project Glasswing found over 10,000 critical vulnerabilities by June 2, 2026.
- Anthropic disclosed annualized revenue above $65 billion in July 2026, signaling explosive demand.
- September 1, 2026 pricing cuts for cache reads boost agentic API adoption and retention.
What critics are saying
- Anthropic’s $1.5 billion copyright settlement, approved July 20, 2026, invites more suits.
- Late-September 2026 IPO pressure exposes weak multiples if growth decelerates after listing.
- Heavy compute commitments and chip-lease debt create existential financing risk if demand softens.
What makes Anthropic unique
- Claude Security and Project Glasswing anchor Anthropic’s enterprise security moat in 2026.
- Anthropic pairs frontier-model capability with explicit safety branding, unlike OpenAI’s consumer-first posture.
- Multi-cloud distribution across AWS, Google, Microsoft, Lambda, and Nscale reduces single-vendor dependence.
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Benefits
Flexible Work Hours
Paid Vacation
Parental Leave
Hybrid Work Options
Company Equity
Growth & Insights and Company News
6 month growth
↑ 7%1 year growth
↑ 4%2 year growth
↑ 2%Broadcom could capture a $40 billion opportunity from Anthropic's growing compute needs, according to Macquarie analyst Arthur Lai. This comes as concerns mount over Google developing more chips internally, potentially threatening Broadcom's custom silicon business. The stock has fallen approximately 24% from its all-time high. However, Lai suggests many concerns may already be priced in, creating an attractive entry point. In April, Anthropic partnered with Google and Broadcom to secure next-generation TPU capacity for training its Claude AI models. Broadcom's AI semiconductor revenue surged 221% year-over-year to $16.7 billion in fiscal Q3 2026. Management projects AI semiconductor revenue could reach $115 billion in fiscal 2027 and potentially $230 billion in fiscal 2028. The Anthropic partnership could provide crucial revenue visibility whilst strengthening Broadcom's position in custom AI silicon and networking.
Black Duck has joined Anthropic's Project Glasswing, an industry initiative aimed at securing critical software infrastructure using advanced AI for defensive cybersecurity. The application security company will apply Mythos, Anthropic's AI system, across its full security portfolio. This will combine AI-accelerated vulnerability discovery with remediation workflows, risk-based prioritisation, and compliance-driven governance. "AI is transforming the economics and speed of vulnerability discovery and exploit development," said Dipto Chakravarty, Black Duck's Chief Product & Technology Officer. He explained that pairing Mythos with Black Duck's existing capabilities will enable faster risk reduction whilst maintaining the transparency and auditability required by enterprise security teams. Black Duck specialises in application security, combining deterministic analysis with AI reasoning to identify and fix security issues in code written by developers, generated by AI, or assembled from open source.
Goldman Sachs and Morgan Stanley have asked major credit rating agencies to grant investment-grade status to OpenAI and Anthropic upon going public, despite neither company turning a profit, the Financial Times reported. OpenAI posted a $20.9 billion operating loss on $13.1 billion revenue in 2025. Anthropic doesn't expect to break even until 2028, with OpenAI targeting 2030. The investment-grade designation would allow pension funds and insurers to buy their bonds. It would also terminate Nvidia's guarantee of up to $105 billion in lease obligations for OpenAI's Ohio campus. Rating analysts currently describe both labs as speculative-grade and loss-making. When SpaceX received investment-grade ratings after its June IPO, its bonds traded near junk pricing within days. Anthropic could list in late September, whilst OpenAI targets 2027.
Interactive Brokers held $182.4 billion in uninvested client cash at the end of June, up 27% year over year, and this figure grew to $185.6 billion by August. The automated global broker earns interest on this cash by investing it in short-term US government securities whilst paying clients a rate half a percentage point below the federal funds rate. Net interest income rose 23% year over year to $1.06 billion in the second quarter, representing more than half of total net revenues of $1.9 billion. The growth came from larger balances rather than margins, which actually narrowed to 1.93% from 2.07%. Anthropic's potential IPO, rumoured to arrive soon with a possible $2 trillion valuation, could provide clients with an opportunity to deploy some of this cash.
Anthropic has reportedly secured a $35 billion cloud deal with Lambda for 350 MW of capacity at Hut 8's Beacon Point campus in Texas, marking its ninth major compute corridor. The arrangement highlights Nvidia's dual role as both GPU supplier and data centre landlord, allowing it to extract value at multiple levels. The deal supports Anthropic's $65 billion annualised revenue run rate but deepens its reliance on Nvidia's ecosystem. Anthropic has diversified across nine corridors, including commitments to AWS (5GW), Google/Broadcom (5GW), Microsoft/Nvidia ($30 billion), Fluidstack ($50 billion), Nscale ($45 billion), Volta ($10 billion), AMD ($5 billion), and SpaceX (300MW). This infrastructure strategy reflects a shift where GPU suppliers increasingly control both hardware and physical environments, positioning themselves as compute landlords.