Who you are
- Strong preference for those with experience in Ad Tech, Marketing Tech, or experience in Invalid Detection mitigations. We still encourage people to apply without this experience :)
- You have experience leading a team, mentoring junior staff, coaching through problems, and going out of your way to support your team
- You have a good sense of ownership which drives you to find ways to do things better, faster, and leaner; you look to find new and innovative ways to tackle complex problems through meticulous experimentation and application of emerging technologies
- You are willing and capable to dig into the details, reviewing infrastructure, source code and logic, preferably with experience in SQL or Python, at a multi TB to PB data sets of scale
- You are passionate about learning and growing your skillset and the skillset of those around you, always curious and thinking on how to apply your knowledge to always do the right thing.
What you'll do:
- Manage a cross-functional team of data analysts, scientists, and security researchers
- Lead our research team’s delivery of new fraud detection algorithms for Invalid Traffic detection, emerging AdTech security fraud, and actors circumventing existing techniques. Support the team from high-level strategy and prioritization through day-to-day project execution.
- Aligning projects with people’s skills and growth areas, regularly providing feedback, and evaluating individuals’ projects with a keen eye for detail
- Facilitate research into new and emerging threat models within the Ad Tech Ecosystem, as well as new environments and types of advertising that are potential vectors of abuse.
- Implement best practices and tooling that will improve quantitative and quality of leads reviewed, efficiency of detection processes, and communication within and outside detection teams
- Keep up on industry standards, techniques, cybersecurity trends, and tools adversaries might use to circumvent detection or mitigation.
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