# Staff+ Software Engineer, Account Compromise

**Company**: Anthropic
**Location**: London
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: £325,000-£390,000 GBP
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5368642008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_06c7ce7f-e00

## Description

## Job Overview

We are seeking a Staff+ Software Engineer to join our Account Compromise team at Anthropic. As a key member of our Safeguards organisation, you will be responsible for setting the technical direction for detecting, containing, and remediating account compromise across Claude and the Claude Developer Platform.

## Responsibilities

- Set the technical direction and own the architecture for account compromise detection, response, and remediation

- Independently scope and lead complex, multi-month engineering projects

- Build and evolve detection systems to identify account takeover, credential abuse, and compromised API keys in near real time

- Design automated response flows to cut off attacker access while minimising disruption to legitimate users

- Lead investigations into significant compromise incidents and convert learnings into durable, automated defences

- Threat model how attackers are likely to adapt and prioritise the team's work against that view

- Drive cross-organisational alignment on account security direction with Security, Product, Support, Policy, and other partners

- Define how the team measures success and hold the work to those measures

- Set technical standards for the domain and raise the bar for other engineers through code review, design review, and mentorship

- Surface patterns from compromise cases to research and product teams to improve protections upstream

## Requirements

- 10+ years of experience designing, building, and operating detection, anti-fraud, anti-abuse, or security systems in production

- A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects

- Experience making architectural decisions in an adversarial domain that other engineers and teams then build on

- Proficiency in Python and SQL with strong software engineering fundamentals and hands-on coding ability

- Experience leading investigations into account-based abuse or security incidents and translating findings into automated detection

- Ability to reason rigorously about large behavioural or telemetry datasets and distinguish attacker behaviour from unusual but legitimate use

- Strong written communication and a track record of driving alignment across multiple teams and stakeholders

- Sound judgement about the tradeoff between stopping bad actors and disrupting legitimate users

## Nice to Have

- Significant engineering experience in trust and safety, platform integrity, fraud, or detection and response

- Deep familiarity with account attack techniques

- Experience with authentication and identity systems, including OAuth, single sign-on, multi-factor authentication, device binding, and risk-based authentication

- Experience applying machine learning to fraud or abuse detection

- Experience with cloud data tooling such as BigQuery, Spark, dbt, Airflow, or similar

- Experience building tooling for operational or investigative teams

- Interest in AI safety and the specific ways account compromise intersects with model misuse

## What We Offer

- Competitive compensation: £325,000-£390,000 GBP per year

- Optional equity donation matching

- Generous vacation and parental leave

- Flexible working hours

- A lovely office space in which to collaborate with colleagues

## Skills

### Required
- Python
- SQL
- software engineering
- detection systems
- anti-fraud
- anti-abuse
- security systems

### Nice to have
- OAuth
- single sign-on
- multi-factor authentication
- device binding
- risk-based authentication
- machine learning
- BigQuery
- Spark
- dbt
- Airflow

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5368642008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)