Why This Job is Featured on The SaaS Jobs
This role stands out in SaaS because anti abuse work sits directly on the platform trust boundary, where product capabilities, customer usage patterns, and adversarial behavior meet. In a large scale cloud data platform environment, abuse prevention is not a side function; it is part of keeping the service reliable for many tenants and protecting sensitive customer workloads. The remit described spans prevention controls, detections, and automation, signaling a position anchored in real production risk rather than purely advisory security.
For a long term SaaS security career, the role builds a portfolio across multiple disciplines that recur in modern subscription platforms: telemetry driven decision making, detection engineering, and cross functional influence on roadmaps. Experience combining data analytics with security outcomes translates well to other SaaS domains where identity, fraud, and misuse are persistent challenges. The emphasis on architecture and reference implementations also supports progression toward staff level security engineering and platform security leadership.
The position fits practitioners who prefer building systems over writing policies, and who enjoy iterating on controls based on observed attacker behavior. It will suit someone comfortable partnering with product and engineering teams and explaining risk in practical terms. Candidates drawn to measurable impact through instrumentation, automation, and operational feedback loops are likely to align well.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Build the future of data. Join the Snowflake team.
The Anti-abuse team at Snowflake is responsible for protecting Snowflake and our customers from abuse on the Snowflake platform. You will have the opportunity to help set the direction of the anti-abuse roadmap and Product Security while working closely with other teams at Snowflake.
As an Senior Anti-Abuse Security Engineer, you will design, build, and operate systems that protect our platform, customers, and data from abuse, misuse, and fraud. You’ll work at the intersection of security engineering, data analytics, and machine learning, developing prevention controls, detections, and automation that mitigate abuse activity across our ecosystem.
We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.
AS AN ANTI-ABUSE SECURITY ENGINEER AT SNOWFLAKE, YOU WILL:
Understand the abuse risks faced by Snowflake and our customers.
Design and deploy the anti-abuse controls addressing risks such as Account Take Overs (ATO), data exfiltration, risk around code/data sharing, and other newest and highest future engineering challenges as Snowflake grows.
Help illustrate abuse risks, threats and exploits to cross functional teams.
Research, plan, and build anti-abuse architectures for Snowflake products and features
Provide designs and reference implementations for new anti-abuse features
Research new services, controls, or features that can help protect the product and our customers from abuse.
OUR IDEAL ANTI-ABUSE SECURITY ENGINEER WILL HAVE:
Bachelor's degree in Computer Science or related technical field or equivalent practical experience.
4+ years of experience with anti-abuse space, insider threats, detections, threat hunting and incident response.
Understanding of common abuse patterns (e.g., ATO, exfiltration, insider threats, , spam, fraud, privilege misuse).
Proficiency in Python, SQL, or a similar language for building detections and data pipelines.
In-depth knowledge of anti-abuse solutions, network security, and/or infrastructure security.
Ability to assess engineering designs and architecture diagrams for abuse risks
Ability to assess abuse risks within an application or feature
Experience communicating abuse risks and roadmaps
Experience designing and implementing anti-abuse solutions
Experience contributing to the security anti-abuse community such as presenting at conferences or meetups.
BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:
Master's degree or PhD in Computer Science or related technical field.
Experience with cloud environments (AWS, GCP, Azure) and their security/abuse detection tooling.
Familiarity with ML-based detection systems, feature engineering, or anomaly detection methods.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
