Signifyd provides an end-to-end Commerce Protection Platform that leverages its Commerce Network to maximize conversion, automate customer experience and eliminate fraud and consumer abuse for retailers.

Cyber Security

Finance

Internet

Signifyd

Signifyd's headquarters in San Jose, CA, United States

Rajesh Ramanand

Emily Mikailli

Nisha Ramachandran

Swaminathan V.

Vid S.

Senior Enterprise Customer Success Manager

Senior Value Engineer

Staff Product Manager Of Risk

Varun Kumar

Nicole Jass

Jason Eglit

Arjun Kakkar

Jai Choi

Rohit Bodas

Frank Rotman

Mike Hirshland

Pravin Vazirani

Bill McKiernan

Pete Bodine

Nigel Morris

Don Lucas

Matt Harris

Scott Weiss

Hamilton Powell

Carlos Madrona

Kurt Tenenbaum

Roger Ehrenberg

Sandesh Patnam

Laurene Lecomte

Sid Goyal

Steve Vranes

Wenbo Zhang

Ahmed Khaishgi

Marc Desormeau

Dana Eli-Lorch

Michael Liberty

Blaise Peters

Maria Thomas

Matt Ocko

The Technical Engineering Team at Signifyd is responsible for developing and maintaining the robust infrastructure that powers the Commerce Protection Platform. This team focuses on creating scalable software solutions, implementing advanced machine learning models for fraud detection, and ensuring seamless data integration. Collaborating closely with other departments, they drive technical innovation to enhance the customer experience and optimize conversion rates for retailers using Signifyd's services.

Technical Engineering Team

The Customer Success Team at Signifyd is dedicated to ensuring that clients maximize the value of their Commerce Protection Platform. This team works closely with customers to provide tailored support, optimize usage, and drive ongoing satisfaction, ultimately facilitating seamless engagement and fostering long-term partnerships. Through proactive relationship management and strategic insights, they aim to enhance customer experience while helping retailers effectively combat fraud and increase conversion rates.

Customer Success Team

The Risk Management Team at Signifyd is responsible for identifying, analyzing, and mitigating risks related to fraud and consumer abuse in the retail sector. This team employs advanced analytics and intelligence to assess transactional data, ensuring compliance with payment regulations while optimizing the customer experience. By collaborating with various stakeholders, they work to enhance the effectiveness of the Commerce Protection Platform and uphold the integrity of retail transactions.

Risk Management Team

The Leadership Team at Signifyd is responsible for shaping the company's strategic vision and driving its growth across various facets, including engineering, product development, sales, and customer success. Comprising senior executives with diverse expertise, the team collaborates to enhance the Commerce Protection Platform, ensuring it effectively maximizes conversion rates, automates customer experiences, and mitigates fraud for retailers. Their collective efforts aim to foster innovation, operational efficiency, and a thriving corporate culture that supports Signifyd's mission and enhances overall performance.

Leadership Team

The Data Science and Analytics Team at Signifyd is responsible for harnessing sophisticated data models and analytics to enhance the company's Commerce Protection Platform. They focus on developing machine learning algorithms, analyzing business strategies, and driving insights that optimize conversion rates and improve customer experiences while minimizing fraud. This multidisciplinary team collaborates closely to ensure data-driven decision-making and effective implementation of solutions across the organization.

Data Science and Analytics Team

The Revenue Operations Team at Signifyd is dedicated to optimizing and aligning the company's revenue-generating processes. They focus on streamlining go-to-market strategies, enhancing marketing tools and systems, and analyzing revenue performance to drive efficiency and growth. By leveraging data and insights, the team empowers various departments to maximize conversion rates and improve the overall customer experience.

Revenue Operations Team

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Signifyd

Org chart

Board & advisors

Teams

Technical Engineering Team

Customer Success Team

Risk Management Team

Leadership Team

Data Science and Analytics Team

Revenue Operations Team

Offices

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Signifyd

Org chart

Board & advisors

Teams

Technical Engineering Team

Customer Success Team

Risk Management Team

Leadership Team

Data Science and Analytics Team

Revenue Operations Team

Offices

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