Sift

Technical Program Manager

United States

Sift Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience. They must have at least two years of direct experience as a Technical Program Manager working with Engineering teams, along with a strong understanding of the software development life cycle (SDLC) and agile methodologies. Excellent written and verbal communication skills are required, enabling the ability to convey complex technical concepts to diverse audiences. Project management experience, including project scheduling and planning, is also necessary.

Responsibilities

The Technical Program Manager will work closely with product managers, software engineers, and other stakeholders to prioritize and deliver projects aligned with company goals. They will implement and refine agile methodologies, manage the lifecycle of complex initiatives, make tradeoffs between short-term and long-term needs, and influence partner teams to ensure successful delivery of strategic initiatives. The role involves facilitating clear communication, identifying and managing project risks, developing mitigation strategies, defining processes, and actively seeking ways to improve efficiency and effectiveness.

Skills

SDLC
Agile methodologies
Project management
Project scheduling
Project planning
Stakeholder collaboration
Communication skills

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

Risks

Rise of app-enabled friendly fraud challenges Sift's mobile fraud detection capabilities.
Reliance on third-party delivery apps by QSRs introduces new fraud risks for Sift.
Complex payment processes may complicate Sift's integration and effectiveness in fraud prevention.

Differentiation

Sift offers a comprehensive platform for real-time online fraud detection and prevention.
The company uses machine learning and AI to analyze vast amounts of data effectively.
Sift's dynamic friction feature ensures seamless user experience while blocking fraudsters.

Upsides

Growing demand for AI-driven fraud detection in QSRs presents expansion opportunities for Sift.
Digital-first banks' need for effective authentication aligns with Sift's fraud prevention solutions.
Global trend towards secure payment systems supports Sift's mission for digital trust and safety.

Land your dream remote job 3x faster with AI