Tech Product Manager - Device Intelligence & Behavior Biometrics
Sardine200,000 - 240,000 USD/year
- Full Time
- Senior (5 to 8 years)
$164,200 – $225,400Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Cybersecurity, Financial ServicesIndustries
Requirements
Candidates should have 5-12 years of Product Management experience in the fraud prevention space. A deep understanding of machine learning modeling to identify fraudulent activities is essential. Proven ability to convert customer requirements into successful product offerings and features is required, along with experience collaborating closely with engineers, data scientists, engineering management, and designers. Candidates should also be comfortable working with Marketing and Sales teams to launch new product features and drive their adoption.
Responsibilities
The Senior/Principal Product Manager will engage regularly with customers to validate ideas through feedback and data, ensuring customer needs are at the core of product development. They will own the product vision by understanding market offerings and identifying unfulfilled customer needs, as well as articulate the product roadmap based on data insights. The role requires writing detailed specifications, creating tickets, and collaborating with the Product Marketing team for comprehensive storytelling around the product. The manager will also communicate and motivate cross-functional teams, including engineering, product marketing, customer success, and sales, to align with the product vision.
Skills
Product Management
Fraud Prevention
Machine Learning
ML Modeling
Data Analysis
Risk Scoring
Customer Requirements
Product Roadmap
Product Specifications
Data-Driven
Sift
Real-time fraud detection and prevention platform
About Sift
Sift provides a platform focused on detecting and preventing online fraud in real-time, catering to clients in e-commerce, fintech, and digital marketplaces. The platform uses machine learning and artificial intelligence to analyze large datasets, allowing it to identify fraudulent activities effectively. One of its standout features is dynamic friction, which ensures that genuine users have a smooth experience while preventing fraudsters from accessing services. Sift's business model is subscription-based, with fees that depend on transaction volume and service level. Additionally, Sift offers services like chargeback management and dispute resolution, which add further value to its offerings. The company's goal is to enhance digital trust and safety for businesses by providing tools that help them make informed decisions and protect against fraud.
Key Metrics
Bristol, United KingdomHeadquarters
2011Year Founded
$4.4MTotal Funding
SERIES_ACompany Stage
AI & Machine Learning, Financial ServicesIndustries
51-200Employees