Security Manager, Traffic Quality Forensics

Security Manager, Traffic Quality Forensics

Job ID: 2899165 | Amazon Development Centre (London) Limited

Advertising at Amazon is a rapidly expanding multi-billion dollar business operating across desktop, mobile, and connected devices. Our reach extends through Amazon's platforms and a vast network of third-party publishers worldwide. Traffic Quality is a crucial component of our business, where we safeguard advertising integrity by identifying and filtering out non-human and invalid traffic. We achieve this through high scale distributed and big data engineering, machine learning and ad forensics.

This role is the leader of the Security Engineering function within Traffic Quality and owns the application of ad forensics to detect invalid traffic. This role leads a specialized team of security engineers focused on combining threat intelligence, advanced security engineering, and team leadership to mitigate sophisticated advertising fraud. The challenge is to always stay ahead by developing algorithms to detect automated browsing and attempts to misrepresent ad traffic. The function also feeds nuanced features into machine learning and acts as a force multiplier for precise invalid traffic detection. The team builds long term, sustainable algorithms that work across publishers and surfaces.

We are looking for a dynamic, innovative and accomplished Security Engineering Manager. Their decisions have the potential to prevent hundreds of millions of dollars in wasted ad spend. They own business problems end to end, work with engineering and product to deliver high visibility projects. They rely on their deep forensics expertise, strong understanding of the advertising domain and analytical dive deeps to deliver results. They drive threat intelligence initiatives, including dark web research, to maintain awareness of emerging ad fraud tactics through their team. They oversee the development of advanced detection and mitigation strategies using reverse engineering, network forensics, and client-side security measures. They build and maintain strategic partnerships with security teams across Amazon to enhance threat intelligence sharing and response capabilities. They guide the team in developing sophisticated detection techniques leveraging network signatures, browser architectures, and OS-level indicators.

You are fit if you have a background in application reverse engineering, network security, and malware analysis; strong understanding of advertising technology, programmatic advertising, and associated threat landscapes; experience with botnet detection, packet analysis, and browser security architectures; a track record of building and leading high-performing technical teams; and, exceptional stakeholder management and communication skills.

Key job responsibilities:

1. Deliver key goals to enhance advertiser experience and deliver multi-million dollar savings by building techniques to detect and mitigate invalid traffic.
2. Use ad forensics techniques to create new, scalable solutions for invalid traffic filtering.
3. Drive business analytics to inform key business decisions and algorithm roadmap.
4. Establish scalable, efficient, automated processes for large scale data analyses, technique development, validation and implementation.
5. Hire and develop top talent in Security Engineering and accelerate the pace of innovation in the group.
6. Build a culture of innovation and long-term thinking, and showcase this via peer-reviewed publications and whitepapers.
7. Partner with the engineering team and product managers to evangelize new techniques and drive the implementation of large-scale systems production.
8. Keep updated on the industry landscape in Traffic Quality and identify investments to achieve an industry leading traffic quality solution.
9. Learn continuously about new developments in ad forensics, as well as recent innovations in creative intelligence and malware detection. Identify how these can be rolled into building an industry leading solution for Amazon Advertising.

BASIC QUALIFICATIONS

- A Bachelors in Computer Science or in a highly quantitative field.
- 5+ years of hands-on experience in big data and security engineering.
- 3+ year people management and cross department functional experience.
- Strongly motivated by entrepreneurial projects and experienced in collaboratively working with a diverse team of engineers, analysts, and business management in achieving superior bottom line results.
- Strong communication and data presentation skills.
- Strong ability in problem solving and driving for results.

PREFERRED QUALIFICATIONS

- Technical leader with 10+ years of exceptional, hands-on experience in Security Engineering in e-commerce, fraud/risk assessment, or an enterprise software company building and providing cybersecurity services and software.
- Masters/Ph.D. degree in CS or in a highly quantitative field.
- Knowledge of distributed computing.
- Strong publication record in international conferences.

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