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Prompt Experience Designer

Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY

About Anthropic

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.

About the role 

We're seeking an Experience Prompt Designer to join our design team, bridging the gap between AI capabilities and user experience. This role requires a unique combination of technical expertise, content design mastery, and experience in design thinking to create prompts that enhance our product interactions with Claude.

Responsibilities:

  • Design prompts for enhanced user experiences, focusing on interactive artifacts and research workflows
  • Create evals and test prompts against them with the express intent of creating high-quality LLM experiences
  • Write and optimize prompt content that balances user intent, brand personality, and clear instructional design principles
  • Build prompt libraries and guidelines for consistent product experiences
  • Partner with product design and product teams to identify prompt-based experience improvements
  • Develop language-first content design methodologies that leverage conversational AI to create more human-centered experiences
  • Create prompts that align with user needs, brand voice, and Claude's capabilities
  • Conduct user research to validate prompt effectiveness and drive iterations
  • Analyze prompt performance data to measure experience improvements
  • Collaborate with ML engineers to translate model capabilities into user-friendly experiences
  • Document prompt patterns and best practices for cross-functional teams

You may be a good fit if you have:

  • 4+ years of experience combining technical and design skills, with demonstrated expertise in:
  • Strong portfolio showcasing design work involving LLMs and its impact on user experience
  • Experience with ML frameworks and prompt optimization techniques
  • Proven ability to conduct user research and translate insights into design solutions
  • Excellent written and verbal communication skills
  • Experience working in cross-functional teams with engineers, researchers, and designers
  • Strong portfolio showcasing user-centric design thinking, polished UI craftsmanship, and innovative interaction paradigms
  • Proven track record of executing end-to-end on large and complex products or a series of products in ambiguous environments
  • Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority
  • Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities
  • Experience with prototyping, especially using front-end code (e.g. HTML/CSS/JS) preferred

Strong candidates may have:

  • Experience with conversational AI or language model products
  • Background in computational linguistics, natural language processing, writing, philosophy, or cognitive science
  • Familiarity with design systems and component-based design approaches
  • Experience with A/B testing and experimentation frameworks
  • Programming and machine learning fundamentals (Python, prompt engineering, LLM fine-tuning)
  • Model a builder mindset to explore and communicate through prototyping and design
  • Build trust with users through craft and connection
  • Be proactive and make things happen in a startup environment
  • Have a technical understanding of LLMs and can build on top of them
  • Design new, functional and easy to use interaction design conventions that are on the frontier

This is a great opportunity for:

  • Content designers with technical skills who want to shape AI interactions
  • ML or AI engineers with design sensibilities looking to focus on user experience
  • UX designers with coding experience interested in the frontier of AI-driven products

The expected salary range for this position is:

Annual Salary:

$260,000 - $385,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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 aren't 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 you're interested in this work. We think AI systems like the ones we're 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.

How we're different

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.

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