[Remote] Partner Enablement Technical Writer (Contractor) at Sift

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

SoftwareIndustries

Requirements

Candidates must possess a Bachelor's degree in Technical Writing, Instructional Design, Communications, Technical Training, or Training Development, or have a minimum of 4 years of extensive experience in technical writing or instructional material development. Proven experience in developing onboarding and certification content for partners is essential, along with excellent written and verbal communication skills and the ability to translate complex technical concepts into clear, user-friendly language. Strong organizational and project management skills are also required.

Responsibilities

The Partner Enablement Technical Writer will lead the development and refinement of the partner onboarding and certification journey, collaborating with Instructional Designers and subject matter experts to create and maintain technical training documentation, manuals, and certification guides. Responsibilities include developing engaging training content, ensuring accuracy and consistency in all partner certification documentation, incorporating feedback for continuous improvement, and maintaining documentation standards and version control. The role may also involve assisting in the development of multimedia training components.

Skills

Technical Writing

Instructional Design

Content Development

Documentation

Training Materials

Partner Enablement

Technical Training

Version Control

Editing

Content Strategy

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.

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.

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