Product Designer

Posted 10 Days Ago
3 Locations
300K-375K Annually
Expert/Leader
Artificial Intelligence • Natural Language Processing • Generative AI
The Role
Seeking a talented Product Designer with 8+ years of experience to join a rapidly growing team focused on building outstanding AI systems and user experiences. Responsibilities include contributing to strategic direction, defining feature areas, crafting delightful interfaces, collaborating with cross-functional teams, and prototyping ideas. The position offers an annual salary range of $300,000 to $375,000 USD.
Summary Generated by Built In
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

Anthropic provides an API to access Claude, our state-of-the-art LLM used by companies across many industries and use cases. Along with the API, we provide a suite of tools to help developers solve the novel challenges associated with prompt engineering and LLM deployment. We also build web and mobile apps to access the power of the Claude model. Read more here for the type of features we build. 

We are seeking a talented and experienced Product Designer to join our team, to help build outstanding experiences that put our mission first and go from idea to fully scaled deployment. The ideal candidate will have a deep understanding of user-centric design, a strong portfolio showcasing their craft, and a passion for pushing the boundaries of what's possible with AI.

Responsibilities:

  • Contribute to the strategic direction of our tools, rooted in deep user empathy
  • Define feature areas with excellent attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows
  • Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology
  • Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps
  • Rapidly prototype ideas using code and other methods to communicate concepts and build excitement
  • Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment

You may be a good fit if you have:

  • 8+ years of product design experience (experience designing complex workflows, enterprise/B2B SaaS, developer tools, or API products preferred)
  • 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

The expected salary range for this position is:

Annual Salary:

$260,000$385,000 USD

Logistics

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.

Top Skills

CSS
HTML
JavaScript
The Company
57 Employees
Remote Workplace

What We Do

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

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