Product Manager - Ad Fraud

About the Role

We are searching for a dedicated Product Manager to guide our Fraud Prevention product suite, targeting mobile and CTV platforms. This role centers on designing and enhancing fraud detection and prevention features by analyzing extensive advertising datasets in collaboration with our data science team, transforming complex fraud insights into actionable product solutions to safeguard clients' ad investments.

Key Responsibilities

• Own the Fraud Prevention product suite as its general manager.
• Utilize advanced analytical and data-driven approaches to identify trends and patterns within large volumes of data.
• Partner with data scientists to develop and implement new fraud detection and prevention algorithms.
• Coordinate with the Product Operations team to schedule and deploy product updates regularly.
• Lead product documentation, launch strategies, go-to-market planning, positioning, and messaging efforts.
• Develop, maintain, and communicate the product roadmap and strategy for both internal stakeholders and clients.
• Collaborate with the product marketing team to refine messaging and articulate the value proposition.
• Engage with media representatives and industry analysts through product briefings and reports.
• Assist Sales and Business Development teams by demonstrating product features and outlining roadmaps to existing and potential customers.
• Represent the organization in industry panels and collaborative initiatives such as those by IAB, MRC, and TAG.

Required Qualifications

• Profound expertise in online fraud types including advertising fraud, payment fraud, botnets, and phishing attacks.
• At least five years of experience building B2B SaaS Enterprise products focused on fraud detection, prevention, malware, or threat intelligence.
• Strong proficiency in SQL and working with data warehouses.
• Solid foundation in computer networking concepts such as IP stack, HTTP, IP addressing (IPv4/IPv6), DNS, and web proxies.
• Thorough understanding of the mobile ecosystem and fraud detection challenges within it.
• Comprehensive knowledge of current trends and best practices in enterprise security, including past cybersecurity incidents and emerging tactics.
• A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or equivalent engineering experience.
• Familiarity with botnet structures, exploit kits, and malware mechanisms.
• A proactive and committed mindset, willing to travel on short notice, including visits to clients and company headquarters.

About the Company

Pixalate leads in fraud detection and privacy compliance for digital advertising, protecting billions of dollars in ad spend for Fortune 500 companies, major advertising platforms, and consumers, including children. Our platform has uncovered numerous high-profile fraud and surveillance cases, with recognition from UNICEF and coverage by major media outlets.

Why Join Us

• Contribute to protecting children’s digital environments.
• Work with advanced fraud detection and privacy technologies.
• Engage with a mission-driven, global, and collaborative team.
• Enjoy competitive pay and opportunities for career growth in a rapidly expanding company.

Company Culture

We encourage small, high-output teams with open communication, where fearless ideas and focus on results trump titles. Analytical thinking and collaboration are at the core of our culture.

Benefits

• Monthly reimbursement for internet expenses.
• Casual and flexible remote working environment.
• Opportunities for advancement and professional development.
• Annual team events fostering camaraderie.
• Joining a motivated, high-performing global team.