Key Facts

Remote From:

Singapore

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Communication
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Analytical Skills
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Adaptability
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Teamwork
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Prioritization
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Management
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Problem Solving

Roles & Responsibilities

Deep expertise in online fraud across forms (advertising fraud, payment fraud, botnets, phishing, etc.)
5+ years building widely adopted B2B SaaS enterprise products with fraud detection/prevention, malware, or threat intelligence capabilities
Proficiency in SQL and querying data warehouses
Strong understanding of networking concepts (IP stack, HTTP, IP addressing, DNS, web proxies) and the mobile ecosystem for fraud detection

Requirements:

Be the Fraud Prevention product suite GM, owning vision, strategy, roadmap, documentation, launches, GTM plan, positioning and messaging
Leverage data-driven analysis of large datasets with the data science team to identify correlations and drive new fraud-detection algorithms
Collaborate with Product Operations to plan releases and maintain the product roadmap; work with Marketing to craft messaging and with Sales/BD to demo features
Represent Pixalate in industry panels and cross-company initiatives (IAB, MRC, TAG), and engage with journalists and analysts

Job description

Employment Type: Full-Time
Location: Remote in Singapore
Please note: Only candidates currently residing in Singapore with valid work authorization are eligible for this role

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:

UNICEF: Pixalate was recently recognized by UNICEF as a Key Innovator for protecting children’s online privacy. & UNICEF Global Compliance Tech case study
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

At Pixalate, you will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you're passionate about maintaining high software quality and thrive in a fast-paced, challenging environment, you'll fit right in.