Staff+ Software Engineer, Developer Experience

The Claude Platform serves developers and enterprises at scale. The Developer Experience (DevX) team owns the surfaces those developers touch every day: the Console, the docs platform, and our SDKs and CLI. Our job is to make the Platform easy to adopt and trustworthy enough to build critical applications on, to get new model and API capabilities into developers’’ hands fast and ergonomically, and to build for both humans and the coding agents that increasingly use our docs and SDKs on their behalf. The work splits into two workstreams, covered below, and we need your help across both.

What you’‘ll do

DevX Core: You’‘ll help drive technical direction for the Console and docs platform - the surfaces every developer on the Claude Platform uses - working with product and design from problem definition through launch. The Console is also the front door for tens of internal teams shipping their own features onto it, so you’‘ll set the platform patterns and standards they build against.

Software Engineering, Software Development, Artificial Intelligence (AI), Application Programming Interface (API), Product Design, Ergonomics, Engineering, Technical Leadership, User Interface/Experience (UI/UX), React.js, SDKs: You’‘ll own the SDKs across seven languages plus our CLI - the first thing most developers (and most coding agents) touch when they integrate Claude. You’‘ll partner with API teams early so every new platform capability lands in the SDKs as an idiomatic, ergonomic feature on day one, and you’‘ll drive the code generation, testing, and release pipeline that keeps seven languages consistent and shipping fast.

You might be a good fit if you:

• Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level
• Have led the design and delivery of complex, developer-facing products across the full stack
• Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
• Take a product-focused approach to building solutions that are robust, scalable, and easy to use
• Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
• Care deeply in investing in the mentorship and growth of your peers
• Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority
• Have experience establishing engineering standards, component architectures, and development best practices
• Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products, 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.

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., 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.