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Practising for the listing Staff+ Software Engineer, Safeguards Human Review Tooling. Its requirements are filled in below. When you have an answer you like, paste it with your CV in Career Mirror to see which of the job's skills it shows.

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Staff+ Software Engineer, Safeguards Human Review Tooling
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

The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for engineers for our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms.

You'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes data analysis capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly.

These are internal tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behavior, make sound enforcement decisions, and feed signals back into model training and safety classifiers. You'll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustworthy.

Key responsibilities

• Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, decision and audit logging, and account-actioning workflows

• Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely

• Stand up and run deployments of this tooling across multiple clouds, including inside cloud-provider partner environments where data must stay in place. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting

• Scale review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows

• Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems that measurably reduce handling time and decision error

• Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality — and ensure tooling evolves alongside new privacy primitives and data retention commitments

Minimum qualifications

• A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions

• Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably

• Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams

• Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders

• Care about the societal impacts of AI and want your work to make powerful systems safer

Preferred qualifications

• 8+ years of industry software engineering experience

• Experience building data labeling, trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale

• Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency

• Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic

• A product-minded approach to internal users: you work directly with the people using your tools, watch where they struggle, and fix it

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:
$320,000 — $485,000 USD

Logistics

Minimum education: Bachelor’s 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 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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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Requirements found

Training (must) Sales (nice) Recruiting

What this posting asks for

Level: Lead / staff — The title says "Staff".

Main responsibilities

Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, dec…
Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely
Stand up and run deployments of this tooling across multiple clouds, including inside cloud-provider partner environments where data must stay in place. Keep…
Scale review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows
Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed …
Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality — and ensure tooling evolves alongside new priva…
A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions
Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably
Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams
Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders

Competencies an interviewer will look for

Technical skill Core
In the posting: “A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions” · “Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams” · “8+ years of industry software engineering experience”
Show it by: Names the tools, languages or systems used and how; Explains a technical choice and its trade-off.
Problem solving Core
In the posting: “We're looking for engineers for our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms …” · “You'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those…” · “Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, dec…”
Show it by: Describes a real problem, the options considered and the one chosen; Shows how the cause was found, not just the fix.
Communication Core
In the posting: “Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders” · “If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.” · “As such, we greatly value communication skills.”
Show it by: Adapts the message to the listener; Gives an example of explaining something clearly in writing or speech.
Teamwork and collaboration Core
In the posting: “Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed …” · “In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic.” · “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.”
Show it by: Says what they did inside a team, not only what 'we' did; Shows how a disagreement was handled.
Data and analysis Core
In the posting: “That platform includes data analysis capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, a…” · “You'll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustwo…” · “Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely”
Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it.
Attention to detail and quality Core
In the posting: “The Safeguards team is responsible for ensuring our models and products are developed and deployed safely.” · “You'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those…” · “These are internal tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic…”
Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
Stakeholder management Core
In the posting: “Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed …” · “Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams” · “Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders”
Show it by: Shows how they aligned people with different goals; Explains how they handled a 'no' from someone senior.
Ownership and accountability Supporting
In the posting: “You'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those…”
Show it by: Takes a task from start to finish without being chased; Owns a mistake and what was changed after it.
Adaptability and learning Supporting
In the posting: “We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely…”
Show it by: Describes learning something new quickly and using it; Shows a change of plan and how they adjusted.

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Practice questions

Tell me about yourself. Dedicated step-by-step practice.
If an interviewer asks something improper How to respond to questions about age, family, origin or health.
Built from this posting (8):
Walk me through a piece of work where you used your strongest technical skill. What exactly did you do? From this posting
Tell me about a difficult problem you solved at work. How did you find the cause? From this posting
Tell me about a time you had to explain something complex to someone outside your field. From this posting
Describe a time you worked with another team to deliver something. What was your part? From this posting
How have you used training in your work? Walk me through one real example. From this posting
Tell me about a problem you solved using sales. From this posting
Tell me about a time you helped someone on your team get better at their work. From this posting
Tell me about a task you took from start to finish without anyone asking you to. From this posting
This posting reads as Software engineering: its questions come first.
Tell me about the hardest bug you have tracked down. How did you find the cause? Software engineering
Describe a technical design decision you made and the trade-off behind it. Software engineering
Tell me about a time you disagreed with a teammate in a code review. Software engineering
Production is down and you are the first engineer to notice. What do you do in the first 30 minutes? Software engineering
How do you decide what to test before you ship a change? Software engineering
Walk me through a feature you built from start to finish. What tools and languages did you use? Software engineering
Tell me about a time you helped a less experienced engineer get unstuck. Software engineering
Your estimate for a feature turns out to be badly wrong halfway through. What do you do? Software engineering
Tell me about a sale or agreement you are proud of.
Describe a time you handled an upset customer or colleague.
Tell me about a time you had several deadlines at once. How did you decide what to do first?
Give an example of a mistake you caught before it caused a problem.
Tell me about a time you taught someone how to do something.
Describe a time you took the lead without being asked.
Tell me about a time you had to explain something complicated in simple terms.
Describe a process you improved.
Do you have any questions for us?
Why do you want to work here?
Why is there a gap in your employment? Difficult question
Why did you leave your last job? Difficult question
Why are you changing careers? Difficult question
What is your greatest weakness? Difficult question
What are your salary expectations? Difficult question
You seem overqualified for this role. Why do you want it? Difficult question
Improper-question practice: How old are you? / Do you have children? / Where are you from originally?
A customer is angry about a delay you did not cause. What do you do?
How do you keep track of many open customer requests?
Tell me about a time you could not give a customer what they wanted.
You find that the inventory count does not match the system. What do you do?
Tell me about a time a shipment or delivery went wrong.
How do you make sure safety rules are followed on a busy shift?
Two managers ask you to book the same room at the same time. What do you do?
How have you used spreadsheets in your work?
Tell me about a time you had to enter or check a lot of data accurately.
A prospect says your price is too high. How do you respond?
How do you keep your pipeline organised?
Tell me about a technical problem you solved on your own.
You find a bug right before a release. What do you do?
Walk me through how you would check whether a report's numbers are right.