Product Manager - Digital Advertising
Singapore
Listed on 2026-02-10
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IT/Tech
Data Science Manager, Cybersecurity, AI Engineer, Data Analyst
Overview
Principal Product Manager, CTV App Security & Data Intelligence
Please note:
Only candidates currently residing in Singapore with valid work authorization are eligible for this role.
Pixalate is seeking a Principal Product Manager to lead our Connected TV (CTV) App Security and Data Intelligence product suite. You will drive strategy, development, and GTM execution for products protecting the rapidly growing CTV advertising ecosystem from sophisticated fraud schemes, device/app spoofing, SSAI manipulation, and invalid traffic. This is a highly technical role requiring deep expertise in CTV platforms, programmatic advertising, fraud detection architectures, and analyzing massive datasets to identify emerging CTV threats.
As CTV ad spend exceeds $30 billion, your work will be critical in establishing trust and transparency in this high-growth channel. This is a remote position based in Singapore.
- Drive product strategy and roadmap for CTV app security and data intelligence platform across Roku, Amazon Fire TV, Apple TV, Samsung Smart TV, and emerging platforms
- Build deep expertise in CTV fraud: app/device spoofing, bundle , bot-driven fraud, SSAI exploitation, and proxy IVT
- Work with vast CTV data (billions of monthly programmatic ad impressions, millions of apps, 300+ million OTT devices) to identify fraud patterns; use SQL extensively to analyze and validate detection algorithms
- Partner with data scientists and PhD-level engineers on CTV-specific fraud detection algorithms and machine learning models
- Monitor CTV fraud landscape including 500K+ daily fraud sources and emerging attack vectors
- Own pricing, packaging, and GTM strategy for advertisers, publishers, DSPs, and SSPs; establish Pixalate as CTV security thought leader
- Build relationships with CTV platforms, media buyers, industry analysts, and trade publications; represent Pixalate at IAB Tech Lab, MRC, TAG, and CTV-specific initiatives
- Ensure products meet MRC accreditation standards for Sophisticated Invalid Traffic (SIVT) detection on CTV
- Perform market research with CTV ecosystem participants to evaluate highest ROI opportunities
- Master's degree or PhD in Computer Science, AI, Machine Learning, Engineering, Math, Physics, or related quantitative/technical field
- 3-5+ years B2B SaaS product management experience in ad tech, CTV, fraud detection, or verification products
- Deep understanding of CTV ecosystem including major platforms (Roku, Fire TV, Apple TV, Samsung), app stores, and streaming services
- Strong knowledge of CTV fraud types and programmatic advertising (SSPs, DSPs, CTV supply chain)
- Very comfortable with SQL and querying data warehouses to analyze CTV traffic patterns and fraud indicators
- Understanding of CTV-specific technologies:
Server-Side Ad Insertion (SSAI), VAST/VPAID, Open Measurement SDK, Device Attestation - Familiarity with ad fraud detection methodologies, machine learning for fraud detection, and MRC standards
- Excellence in writing technical PRDs and security product specifications for ad tech
- Exceptional communication skills for technical and business audiences; experience with ad tech platforms and industry organizations
- Extremely analytical mindset with passion for challenging the status quo in ad verification
- CTV advertising, programmatic media buying/selling, or ad verification experience
- Background in ad tech platforms (DSPs, SSPs, ad exchanges)
- Video advertising standards, brand safety, viewability, and ad fraud prevention experience
- Track record of CTV fraud reports, research publications, or speaking engagements
- Experience with device manufacturers, OTT platforms, or streaming services
- High-growth ad tech startup experience
We are the leader in fraud detection and privacy compliance for digital advertising, protecting billions in ad spend for Fortune 500 brands and major ad platforms. As fraudsters increasingly use AI to create sophisticated attacks, we are building the next generation of AI-powered detection systems to stay ahead. Our platform has been used to uncover high-profile cases across various media outlets.
- Pixalate was…
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