← Anthropic Interview Insights

Anthropic·Software Engineer·Onsite - Behavioral / Leadership·Senior

Senior
May 2026

Summary

Two rounds at Anthropic for a software engineering role: one focused on past projects and decision-making, the other almost entirely about AI safety beliefs and values. The values round was unlike anything I'd done before and I'm still not sure I nailed it.

Questions Asked (4)

Q1

Walk me through one or two major projects from your resume. What was the goal, what did you own, what tradeoffs did you make, and what would you do differently?

Technical Trade-offsAdaptability & Ambiguity
Author's notes

This is the kind of question where you think you're ready and then halfway through your answer you realize you've been narrating instead of actually saying anything.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Select one or two projects that best demonstrate your technical depth, ownership, and ability to navigate ambiguity. For each, structure your answer around the goal, your specific contributions, the tradeoffs you weighed, and a candid reflection on what you'd do differently. Keep it concise and focus on the decision-making process rather than just the outcome.

Pro tip: Choose projects where you can clearly articulate the tradeoffs and lessons learned—interviewers at Anthropic value intellectual honesty and iterative improvement over flawless execution. Avoid blaming external factors; instead, frame 'what you'd do differently' as a sign of growth and self-awareness.

1. Set the context and goal

Briefly describe the project, its purpose, and why it mattered. Clarify the scope and any constraints (e.g., timeline, team size, technical limitations).

2. Define your ownership

Explain your specific role and responsibilities. Highlight what you personally drove, decisions you made, and how you collaborated with others.

3. Discuss tradeoffs

Detail the key technical or product tradeoffs you considered (e.g., performance vs. simplicity, speed vs. quality). Explain how you evaluated options and why you chose your approach.

4. Reflect on outcomes and lessons

Summarize the results and impact. Then, candidly share what you would do differently and why, showing self-awareness and a growth mindset.

Key Points to Mention

  • Clear articulation of the problem and why it was challenging or ambiguous.
  • Specific examples of your individual contributions and decision-making authority.
  • Concrete tradeoffs (e.g., build vs. buy, consistency vs. availability, short-term vs. long-term) and the rationale behind your choices.
  • Quantifiable outcomes or impact where possible (e.g., performance improvements, user adoption).
  • Honest reflection on mistakes or suboptimal decisions, with actionable insights for future projects.
  • Alignment with Anthropic's values: safety, scalability, and iterative improvement.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q2

What's your personal view on advanced AI and AGI, and why do you think AI safety matters?

Adaptability & Ambiguity
Author's notes

Wasn't expecting to be asked to just...

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Show genuine intellectual curiosity about AI and AGI, then connect your personal view to why safety is a critical engineering and societal challenge. Emphasize that as a software engineer, you see safety as a design requirement, not an afterthought, and that you're motivated to build systems that are both capable and trustworthy.

Pro tip: Avoid sounding like you're just repeating Anthropic's mission; instead, share a specific personal insight or experience that led you to care about AI safety, and tie it to the engineering challenges you'd tackle in the role.

1. State your personal view on AI/AGI

Briefly articulate what you believe about the trajectory and potential of advanced AI, showing you've thought deeply about it. Keep it balanced—acknowledge both promise and risk.

2. Explain why AI safety matters to you

Connect your view to concrete reasons why safety is essential, such as preventing misuse, ensuring alignment with human values, and managing unintended consequences. Relate it to your role as an engineer.

3. Tie it to software engineering

Describe how safety principles translate into engineering practices: robust testing, interpretability, monitoring, and designing for failure modes. Show you see safety as part of building reliable systems.

4. Share a personal motivation or example

Mention a specific experience, project, or paper that shaped your perspective, making your answer authentic and memorable. This demonstrates genuine engagement with the topic.

5. Connect to Anthropic and the role

Express why this view aligns with Anthropic's mission and how you'd contribute as a software engineer to safe AI development. Show enthusiasm for the challenge.

Key Points to Mention

  • The dual-use nature of AI: benefits like healthcare and climate solutions vs. risks like misuse or unintended harm.
  • Alignment problem: ensuring AI systems act in accordance with human intent and values.
  • Engineering practices for safety: interpretability, robustness, monitoring, and red-teaming.
  • The importance of proactive safety research and collaboration across disciplines.
  • Personal experience or learning that sparked your interest in AI safety.
  • Anthropic's approach to AI safety and how it resonates with your values.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q3

Tell me about a time you had to argue for or defend a responsible AI or safety-related position, either at work or outside of it.

Conflict ResolutionCross-functional Alignment
Author's notes

I pulled an example from a past job where I pushed back on shipping a model feature because I thought the failure mode was underexplored.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Choose a specific instance where you respectfully disagreed with a decision that could compromise AI safety or responsibility. Use a structured story to show how you advocated for your position, collaborated to find a solution, and what you learned.

Pro tip: Emphasize that your goal was not to 'win' the argument but to ensure the best outcome for users and society, and show openness to being wrong if evidence supports the other side.

1. Set the Context

Briefly describe the project, the AI safety or responsibility concern, and why it mattered. Keep it concise to focus on the conflict.

2. Explain the Opposing View

Acknowledge the other party's perspective and constraints (e.g., deadlines, business goals) to show empathy and understanding.

3. Detail Your Advocacy

Describe how you presented your case: data, ethical principles, user impact, or precedent. Highlight respectful, evidence-based communication.

4. Describe the Resolution

Explain how the disagreement was resolved—whether through compromise, escalation, or new information—and the outcome.

5. Reflect on Learnings

Share what you learned about advocating for safety, collaborating across differences, or balancing trade-offs.

Key Points to Mention

  • Specific AI safety or responsibility principle at stake (e.g., fairness, transparency, privacy, avoiding harm)
  • Use of data, user research, or ethical frameworks to support your position
  • Respectful and collaborative communication style, even under disagreement
  • Willingness to listen and adjust your view based on new evidence
  • Outcome that prioritized safety without unnecessarily blocking progress
  • Lesson learned about cross-functional alignment or conflict resolution

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.

Q4

Describe a disagreement you had with a collaborator over something non-technical, like a values or ethics question. How did it play out?

Conflict ResolutionStakeholder Management
Author's notes

Hardest one for me.

Create a free account to read the full note

AI HintsAI Generated

Suggested Approach

Choose a real disagreement where you and a collaborator held different values or ethical priorities, and show how you navigated it with curiosity and respect. Focus on the process of understanding each other's perspectives and finding a resolution that upheld shared principles, even if you didn't fully agree. Emphasize what you learned and how it strengthened your working relationship.

Pro tip: Anthropic values safety and ethics, so pick a disagreement where you advocated for the more cautious or principled path, but show genuine empathy for the other side. Avoid framing the other person as wrong; instead, highlight how you sought common ground and escalated thoughtfully if needed.

1. Set the context

Briefly describe the project, the collaborator, and the non-technical issue (e.g., user privacy, honesty in communication, fairness). Keep it concise so you can spend most time on the resolution.

2. Explain the disagreement

State each person's position and the underlying values or ethical concerns. Show that you understood their perspective and why it mattered to them.

3. Describe your approach

Explain how you engaged: listening actively, asking questions, finding shared goals, and proposing a path forward. Mention if you sought advice from a manager or used a framework.

4. Share the outcome

Reveal how it played out—whether you reached a compromise, one side prevailed, or you escalated. Focus on the resolution and any positive results.

5. Reflect on the learning

Summarize what you took away about collaboration, ethics, or communication, and how it has influenced your work since.

Key Points to Mention

  • The specific non-technical value or ethical principle at stake (e.g., user privacy, honesty, fairness, safety).
  • Your collaborator's perspective and why it was reasonable, showing empathy and respect.
  • The process you used to navigate the disagreement (e.g., active listening, seeking common ground, involving a neutral third party).
  • The resolution and its impact on the project or team, emphasizing a constructive outcome.
  • What you learned about yourself or about working with others, and how you've applied it.
  • Alignment with Anthropic's values, such as prioritizing safety and ethical considerations.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.