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Riskified

eCommerce fraud prevention and revenue protection

Data Integrations Team Lead

Implementation & Technical Account ManagementUpdated on Nov 7
Full-timeNew York, NY, USA

About the Job

Requirements

  • Candidates must be currently authorized to work in the United States on a full-time basis without the need for employer visa sponsorship.
  • At least 4 years of experience leading data integrations, data solutions, or software engineering teams with a focus on data management.
  • At least 6 years of experience in professional services, software, or data engineering roles.
  • At least 3 years of hands-on experience with SQL, Python, or other data engineering programming languages.
  • Experience working with data lakes and data warehouses.
  • Experience with data quality assurance and control, such as defining validation checks and monitoring data integrity.
  • Experience working with SaaS solutions and APIs.
  • Hands-on experience bringing AI into team operations, such as using large language models to automate data validation, speed up client onboarding, or streamline integration workflows.
  • Ability to handle multiple projects with competing priorities.
  • Comfort working in a fast-paced environment with high-stakes client timelines.
  • Strong written and verbal communication skills.

Responsibilities

  • Manage, coach, and develop a distributed team of five Data Integration Engineers across the U.S. East Coast and Brazil, with a focus on technical excellence and client experience.
  • Set and balance the team’s priorities across client commitments, service-level agreements, and business goals.
  • Guide the team through non-standard integration challenges, including designing appropriate endpoints and data flows for merchants with unique setups and finding ways to automate, limit, or eliminate manual work.
  • Serve as an escalation point for the team.
  • Help shape and implement shared tools, processes, and automation across the global Data Integrations team, including AI-driven workflows such as automated data validation.
  • Continuously improve merchant onboarding speed and integration quality.

Desired Qualifications

  • Understanding of machine learning and data science.
  • E-commerce or payments industry experience.

About the Company

Riskified

eCommerce fraud prevention and revenue protection

Riskified helps online merchants protect revenue and prevent fraud in ecommerce by using machine-learning models to approve or block transactions in real time before they reach the bank. Its products include pre-authorization decisions and Dynamic Checkout that adjusts the checkout experience based on each shopper’s risk level, reducing friction for legitimate customers while flagging suspicious activity. The company differentiates itself with real-time, pre-authorization ML decisions that tie fraud protection directly to revenue growth and a checkout experience that adapts to risk, scalable for merchants expanding into new markets. Its goal is to help merchants grow revenue and improve customer satisfaction by preventing fraud, lowering false declines, and streamlining the digital checkout process.

Company size
501-1,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2013

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