The role involves leading product strategy for fraud prevention solutions, collaborating with data science, product ops, and marketing while addressing fraud-related challenges.
Employment Type: Full-Time
Location: 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.
- Candidates will need to be comfortable working in US timezone
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
Top Skills
B2B Saas
Computer Networking
Cyber Security
Data Science
Fraud Detection
SQL
Threat Intelligence
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