Product Manager -Ad Fraud Products

Employment Type: Full-Time
Location: DMV, NYC and Singapore

Pixalate is an online trust and safety platform that protects businesses, consumers, and children from deceptive, fraudulent, and non-compliant mobile, CTV apps, and websites.

Our software and data have been used to unearth multiple high-profile criminal and illegal surveillance cases including:

• Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
• Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
• Washington Post: Your kids’ apps are spying on them
• Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire
• ABC7 News: The State of Children's Privacy Online
• NBC News: How many apps are tracking your children

Our team of lawyers, data scientists, engineers, economists, and researchers span globally with a presence in California, New York, Washington DC, London, and Singapore.

RESPONSIBILITIES

• Be the Fraud Prevention product Suite “GM”
• EXTREMELY Analytical and data driven
• Experience dealing with vast amounts of data
• Draw conclusions and product features by finding global correlations and patterns in our data
• Work closely with the data science team on implementing new fraud detection and prevention algorithms
• Work with Product Operations team to plan and release regular product updates
• Drive documentation, launches, GTM plan, positioning and messaging for the product
• Build, maintain, prioritize and communicate product roadmap/strategy for both internal and external stakeholders
• Work with product marketing team on messaging and value proposition
• Work with media journalists and industry analysts on product briefings and analyst reports
• Support Sales and Business Development in presenting product road map and demoing new features to current and prospective clients
• Represent the company on industry panels and in cross company working groups and initiatives such as IAB, MRC and TAG

QUALIFICATIONS

• Expertise and Deep Knowledge within Online Fraud in its many forms (I.e. Advertising Fraud, Payment Fraud, Botnets, Phishing Attacks, etc.)
• Minimum 5+ years developing widely adopted B2B SaaS Enterprise Products with Fraud Detection and Prevention, Malware, or Threat Intelligence capabilities
• Very comfortable with SQL and querying data warehouses
• Solid understanding of fundamental computer networking concepts and technologies (e.g. IP stack, HTTP, IP addressing (V4/V6), DNS, Web Proxies, etc)
• Solid understanding of the mobile ecosystem and its challenges for fraud detection
• Expertise in latest market trends in Enterprise Security, i.e. knowledge of best practices of Enterprise Security Detection, Knowledge of some historic Cyber Security Events/Attacks (what went wrong, how could the Enterprise have prevented this), and What will be best practices for the future
• Bachelors or Masters in Computer Science, Computer Engineering or Software Engineering (or any other relevant engineering degree or Engineering Experience)
• Understanding of botnet architectures, exploit kits, malware
• A ‘do-whatever-it takes attitude to accomplish what needs to be done, which may include Travel on short notice, Travel to Clients, and to our DC HQ. 

BENEFITS
We focus on doing things differently and challenge each other to be the best we can be.Monthly internet reimbursement

• Casual work environment
• Flexible hours
• Opportunity for advancement
• Fun annual team events
• Being part of a high performing team that wants to win and have fun doing it
• Extremely competitive compensation