Full-Time
Anthropic
1,001-5,000 employees
Develops reliable and interpretable AI systems
Compensation Overview
$260k - $385k/yr
Senior, Expert
H1B Sponsorship Available
Seattle, WA, USA + 2 more
More locations: San Francisco, CA, USA | New York, NY, USA
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.
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- 8+ years of industry UX research experience
- A track record of driving successful product decisions through your research
- Advanced expertise in quantitative methods (surveys and data analysis)
- Mastery of qualitative research methods
- Experience thriving in ambiguous situations within rapidly growing or changing organizations
- Excellent prioritization skills with ability to synthesize multiple inputs and drive focus toward highest-impact work
- Strong problem-solving capabilities with a record of turning constraints into opportunities
- Ability to communicate research insights in compelling, memorable ways that drive clear action
- Keen product intuition with a talent for identifying opportunities and generating creative product possibilities
- Proven ability to forge strong partnerships with product managers, designers, and cross-functional stakeholders
- Gather context and prioritize the most important and high-leverage research opportunities in your area(s)
- Lead research initiatives that inform strategic product decisions
- Design and execute both qualitative and quantitative research studies with a focus on efficiency and impact
- Build effective partnerships with PMs and other product leaders
- Synthesize findings into actionable recommendations, valuing speed of delivery over polish of output
- Communicate research findings effectively through excellent storytelling, customizing communication based on stakeholder needs
- Drive concrete impact while maintaining high quality, even with quick turnaround times
- Have a master’s or PhD in HCI, Cognitive Psychology, Social Psychology, Anthropology, Information Science, Sociology, or other social/behavioral sciences
- Have experience doing research for developer tools and API products
- Have experience with LLMs
Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can perform various tasks for clients across different industries. Claude utilizes natural language processing and reinforcement learning to understand and respond to user requests effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also easy to understand and control. The company's goal is to enhance operational efficiency and decision-making for its clients through advanced AI solutions.
Company Size
1,001-5,000
Company Stage
Series E
Total Funding
$16.8B
Headquarters
San Francisco, California
Founded
2021
Simplify's Take
What believers are saying
- Anthropic secured $4 billion in 2025 to advance its AI model, Claude.
- Partnership with Apple to create AI-powered coding platform shows strong market potential.
- Agentic AI commerce is emerging, with major companies investing in AI-driven consumer interactions.
What critics are saying
- Tokenization inefficiency in Claude models may lead to higher operational costs.
- Nvidia's criticism could damage Anthropic's reputation with key hardware suppliers.
- Rapid AI inference advancements by competitors may outpace Anthropic's offerings.
What makes Anthropic unique
- Anthropic focuses on AI safety, transparency, and alignment with human values.
- Claude, Anthropic's AI assistant, handles tasks at any scale for diverse industries.
- Anthropic's MCP framework connects LLMs to external data sources for improved AI accuracy.
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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
↓ -6%1 year growth
↑ 5%2 year growth
↑ 0%Apple and Anthropic have reportedly partnered to create a platform that will use artificial intelligence (AI) to write, edit and test code for programmers.Apple has started rolling out the coding software to its own engineers, Bloomberg reported Friday (May 2). The company hasn’t decided whether to make it available to third-party app developers.The tool generates code or alterations in response to requests made by programmers through a chat interface. It also tests user interfaces and manages the process of finding and fixing bugs, according to the report.It was reported in August that while generative AI is not yet making money in some fields, it has quickly proven its value in powering coding assistants.As of the time of that report, one AI coding assistant, the Microsoft-owned GitHub Copilot, had drawn nearly 2 million paying subscribers since its launch in 2022 and contributed to a 45% year-over-year increase in GitHub’s revenue.Amazon, Meta, Google and several startups have also built AI assistants for writing and editing code.McKinsey said in 2023 that AI could boost the productivity of software engineering by 20% to 45%.This increased efficiency has far-reaching implications for businesses across industries, CPO and CTO Bob Rogers of Oii.ai told PYMNTS in an interview posted in May 2024. AI-powered tools enable developers to create software and applications faster and with fewer resources.“Simple tasks such as building landing pages, basic website design, report generation, etc., can all be done with AI, freeing up time for programmers to focus on less tedious, more complex tasks,” Rogers said. “It’s important to remember that while generative AI can augment skills and help folks learn to code, it cannot yet directly replace programmers — someone still needs to design the system.”It was reported in April that OpenAI was in discussions with Windsurf, an AI-powered coding tool, to acquire the technology.Windsurf, formally known as Exafunction, had recently been in discussions with investors to raise $3 billion. Last year, the firm was valued at $1.25 billion in a deal led by General Catalyst.OpenAI Chief Financial Officer Sarah Friar said in April that OpenAI is building an AI agent that can do all the work of software engineers, not just augment their skills
Three of the world’s largest payment companies, Visa, Mastercard and PayPal, are racing into the next frontier in digital commerce: agentic AI. This week, all three announced they were deploying agentic commerce, a fast-emerging trend in which AI agents not only assist consumers with shopping but also complete transactions on their behalf. “These technologies have [] The post Visa, Mastercard, PayPal Fuel Agentic AI Commerce Boom appeared first on PYMNTS.com.
In 2025, Anthropic secured over $4 billion to advance its AI model, Claude, with backing from tech giants and VCs. Mistral AI, based in Paris, raised significant Series B funding to expand its open-weight LLMs. Figure AI received over $1 billion to develop general-purpose humanoid robots. Perplexity AI raised millions for its AI-native search engine. Cohere's funding surge in 2025 is supporting its development of language models for business and productivity apps.
It is a well-known fact that different model families can use different tokenizers. However, there has been limited analysis on how the process of “tokenization” itself varies across these tokenizers. Do all tokenizers result in the same number of tokens for a given input text? If not, how different are the generated tokens? How significant are the differences?In this article, we explore these questions and examine the practical implications of tokenization variability. We present a comparative story of two frontier model families: OpenAI’s ChatGPT vs Anthropic’s Claude. Although their advertised “cost-per-token” figures are highly competitive, experiments reveal that Anthropic models can be 20–30% more expensive than GPT models.API Pricing — Claude 3.5 Sonnet vs GPT-4oAs of June 2024, the pricing structure for these two advanced frontier models is highly competitive. Both Anthropic’s Claude 3.5 Sonnet and OpenAI’s GPT-4o have identical costs for output tokens, while Claude 3.5 Sonnet offers a 40% lower cost for input tokens.Source: VantageThe hidden “tokenizer inefficiency”Despite lower input token rates of the Anthropic model, we observed that the total costs of running experiments (on a given set of fixed prompts) with GPT-4o is much cheaper when compared to Claude Sonnet-3.5.Why?The Anthropic tokenizer tends to break down the same input into more tokens compared to OpenAI’s tokenizer
Nvidia has reportedly criticized Anthropic over its stance on U.S. chip export restrictions. “American firms should focus on innovation and rise to the challenge, rather than tell tall tales that large, heavy, and sensitive electronics are somehow smuggled in ‘baby bumps’ or ‘alongside live lobsters,’” a spokesperson for Nvidia told CNBC Thursday (May 1). Nvidia’s comments refer to a recent blog post by artificial intelligence (AI) startup Anthropic, which accused China of engaging in the above-mentioned smuggling tactics