About Augment Code
Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built.
About the role
We’re looking for a seasoned expert in fraud, abuse, or risk to help us scale responsibly as we bring the joy back to software engineering. This is a high-impact role at the intersection of security, infrastructure, and AI—perfect for someone who thrives on complex systems and solving adversarial challenges at scale.
Key Responsibilities:
- Design, build, and operate detection and prevention systems to stop fraud and abuse across our platform
- Lead proactive investigations and adversary-hunting efforts to uncover novel threats and abuse patterns
- Analyze misuse of our products and services, including abuse targeting AI and LLM-powered systems
- Quantify and mitigate the financial and operational impact of abuse across our infrastructure
- Influence the design of features and systems to be resilient to abuse, from the ground up
- Partner with engineering, product, and security teams to deliver trustworthy and abuse-resistant experiences
- Jump into other teams’ code to identify the right places to gather signals or introduce interventions with minimal impact on system complexity or stability
- Minimizing resources available to bad actors and making it harder for them to return
You have:
- Strong experience building or operating systems to detect and mitigate fraud, abuse, or financial risk
- Background in one or more of: threat intelligence, adversarial ML, trust & safety, security engineering, or FinTech risk/fraud analysis
- Familiarity with adversarial tactics, techniques, and procedures (TTPs), especially in SaaS or cloud-native environments
- Bonus: Experience securing or analyzing AI/ML systems, especially LLMs
Desired but optional:
- Experience preventing fraud in AI, gaming, or similar industries
- Experience with rapidly scaling startups
- Experience with LLMs
Employee Benefits:
- Flexible work hours
- Competitive salary & Equity
- Tools Stipend
- Health, Dental, Vision and Life Insurance
- Short Term and Long Term Disability
- Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair
- Numerous company social events
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.
Pay Transparency Notice:
The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations. Annual Base Salary Range$225,000 - $300,000USD
