Product Designer, Evals & Prompts

Anthropics 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.

Prompts spec out what Claude does. Evals measure whether it did. The Product Prompt and Eval Design team does both for product design: the system prompt that greets a new user the tool descriptions that decide whether Claude searches the instructions that keep a slide deck from tipping into slop and the evals that test all of it. The point is to keep the model and the product aligned with what users expect what the product strategy calls for and what safety requires on every surface and through every model launch.

This role is a foundational member of that work on the eval side: building the evals that check the prompts the harness that runs them and the tools that let designers do this work themselves. It sits on the Product Prompt and Eval Design team in Product Design works day to day with the teams surface owners and the engineers in each product team and pairs per surface with the prompt engineering team at model releases.

• Write and revise the prompts behind Claudes tools features and behaviors on a product surface; test the surface turn findings into prompt fixes ship them and confirm the prompt users get is the one intended
• Build the graders that prove a prompt fix and rerun on the next model; turn designers hand-run rubrics into automated evals then read transcripts for what the eval missed
• Build visual low-code eval tools designers can use without an engineer: assemble a comparison set from real transcripts turn a plain-English rubric into a grader compare prompt variants across models side by side and read results in the tool rather than a notebook
• Watch designers use those tools and make them simpler
• Support model releases: test each surface against the new model write prompt fixes and migrations and write prompts for features launching with it so the surface owners call has numbers behind it
• Stand up and scale the eval harness: build the test environment that exercises our 50 to 100 tools with trustworthy settings keep evals green across models and call whether a regression is the harness or the model
• Package what prompting cant fix for training with the eval attached: graders for crisp behaviors human-feedback questions and good/bad pairs for fuzzy ones like writing quality

• Production-quality Python
• Experience building and maintaining evaluation pipelines for LLM products: graders rubrics comparison sets regression suites and the plumbing that runs them across models
• Experience building internal tools with a real interface for people who do not write code
• Experience standing up test harnesses sandboxing tool calls and pinning the settings that make runs comparable
• Experience shipping prompts or working closely with people who do and understanding why a prompt that works on one model fails on the next
• Reads transcripts not only scores

• Has worked inside a model-launch cycle
• A/B testing experience and the ability to connect offline evals to online outcomes
• Front-end or notebook-to-app experience and opinions about what makes an eval result legible at a glance
• Has turned product rubrics into training signal: graders human-feedback questions or preference pairs
• Cares how Claude behaves for the people using it not only whether the metric moved

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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.

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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. Were 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.

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 aboutour policy for using AI in our application process.