Jobs at Anthropic

• Originate new consumer AI product bets and own them from first idea to launch
• Spot the gap between what Claude can do and what people actually experience, and bring the bet: what to build, why now, and the cheapest way to test it

• Design and ship internal products end to end, from the data model to the UI, for workflows that teams across Anthropic depend on.
• Put Claude to work on real tasks, such as gathering the context a decision needs, drafting the next step of a multi-step process or keeping records consistent across the systems teams already use, and decide where an agent should act and where a well-designed UI is the better answer.

About AnthropicAnthropic’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.

About AnthropicAnthropic’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.

• Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes
• Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize

• Improve the product experience at the root: Build agents that spot where customers keep getting stuck and find the root cause, then ship the fix or drive it with the owning team until customers stop running into the problem
• Make our support agents reliable first responders: Build the tools, APIs, and safe, audited wor...

• Own startups co-marketing, including deciding which startups and moments are worth investing in
• Be a marketing partner to founders and CEOs on channels and joint messaging, and advise companies without built-out marketing teams on storytelling and growth

About AnthropicAnthropic’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.

• Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments
• Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities

• Deeply understand sellers, Deal Desk, Legal, and Order Management workflows and how tooling can improve their impact.
• Own product strategy and roadmap for quoting, approvals, and deal execution, using AI wherever it makes the experience meaningfully better.

• Experience building and maintaining data pipelines
• Experience working with LLMs and a working understanding of their capabilities and failure modes — especially agentic systems with tool use and multi-step reasoning

• Build and ship user-facing features across our products, and help decide which creative spaces we explore next
• Set technical direction for these products, including editor and canvas architecture, real-time collaboration, and rich import and export

• Hire, mentor and grow senior and staff security engineers, and raise the bar as the team scales
• Set the team's investment strategy, deciding which teams get embedded engineers, and for how long, as demand outgrows the team

• On-site RF monitoring and detection: design and develop the monitoring at each site: sensor, receiver and antenna selection and placement, the spectrum monitoring architecture, site RF baselines and what keeps them current, and detections that reach the team's security monitoring platform as alerts analysts keep trusting

• Define and drive technical strategy and architecture for major areas of privacy, spanning product surfaces, research and training data, internal tooling, and multiple clouds
• Identify and lead the highest-complexity, company-critical privacy initiatives, guiding engineers across many teams. Be comfortable building the most difficult pieces yourself

• Have experience in cybersecurity research.
• Have experience with machine learning.

• Working closely with Product & Research teams, proactively identify and pursue potential product partnership opportunities through product and customer insights, market research, industry networking, and strategic outreach.
• Build and maintain a robust pipeline of prospective product partnerships, tracking leads, and m...

• Build products that unlock scientific discovery
• Partner with product management, design, and go-to-market to make complex workflows, like modeling and simulation, simple to run with Claude

• Act as a primary technical advisor for senior officials in partner governments, AISIs, and international institutions. Brief them on frontier AI capabilities, give an honest account of both benefits and harms, and explain safety research in terms that inform their decisions.
• Partner closely with the Policy team to understand each partner's goals and requirements. Devel...

• Work directly with partner technical teams to build and ship Claude deployments. Guide their setup, architecture, and integration as they build with Claude Code and the Claude API.
• Build pilots and repeatable workflows that can scale across partner agencies, and support developer and university enablement.