Employment Type : Full-Time
Location : Remote in the New York Metropolitan Area ONLY
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 drivenExperience dealing with vast amounts of dataDraw conclusions and product features by finding global correlations and patterns in our dataWork closely with the data science team on implementing new fraud detection and prevention algorithmsWork with Product Operations team to plan and release regular product updatesDrive documentation, launches, GTM plan, positioning and messaging for the productBuild, maintain, prioritize and communicate product roadmap / strategy for both internal and external stakeholdersWork with product marketing team on messaging and value propositionWork with media journalists and industry analysts on product briefings and analyst reportsSupport Sales and Business Development in presenting product road map and demoing new features to current and prospective clientsRepresent the company on industry panels and in cross company working groups and initiatives such as IAB, MRC and TAGQUALIFICATIONS
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 capabilitiesVery comfortable with SQL and querying data warehousesSolid 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 detectionExpertise 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 futureBachelors 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, malwareA '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 LA HQ.BENEFITS
We focus on doing things differently and challenge each other to be the best we can be.
Excellent benefits package, including medical, dental, and vision insurancePremiums 100% covered for employees and 50% covered for dependents
Unlimited PTO401kMonthly internet reimbursementCasual work environmentFlexible hoursOpportunity for advancementFun annual team eventsBeing part of a high performing team that wants to win and have fun doing itExtremely competitive compensation
