← Anthropic Interview Insights
Tricky one to prep for because it sits between technical and product thinking.
Frame prompt engineering as an iterative product development process: start with a clear objective, design a structured prompt, test and refine based on outputs, and measure success against user needs. Emphasize collaboration with cross-functional teams and a focus on safety and reliability, aligning with Anthropic's mission.
Pro tip: Show that you treat prompts as products: version them, A/B test variations, and track metrics like accuracy and user satisfaction to drive continuous improvement.
Clearly articulate the goal of the prompt, including the desired output, target audience, and success criteria. Consider edge cases and potential risks.
Craft a structured prompt with clear instructions, context, and examples. Use techniques like role-playing, step-by-step reasoning, and constraints to guide the model.
Run the prompt against diverse inputs, evaluate outputs for accuracy, relevance, and safety. Refine iteratively based on failures and feedback.
Define metrics (e.g., task completion rate, user satisfaction) and track performance. Document learnings and scale successful patterns across use cases.
Work with engineers, designers, and domain experts to integrate prompts into products. Ensure alignment with ethical guidelines and business goals.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.