About Us

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.

About the Role

Riskified’s clients span many sizes and software platforms, and each comes with its own business and data flow requirements. Our Data Integration Engineers act as trusted technical advisors, helping brand-name retailers integrate with Riskified to improve their eCommerce conversion rate and reduce online fraud. The team ensures data quality, validates data flows and supports clients throughout integration and beyond, from designing customized flows to building tools that automate data validation.

We’re looking for an experienced, technical and business-savvy leader to head our team of Data Integration Engineers. You will develop and guide the team, and work closely with Operations, Sales, Product, Development and Data Science as an advocate for our clients. Together with DI leadership across regions, you will help shape the tools and ways of working that will enable us to scale, including the adoption of AI.

What you'll be doing

Lead the team

Manage, coach and develop a distributed team of 5 Data Integration Engineers across the U.S. East Coast and Brazil, with a focus on technical excellence and a great client experience
Set and balance the team’s priorities across client commitments, SLAs and business goals

Oversee and support integrations

Guide the team through non-standard integration challenges, from designing the right endpoints and data flows for merchants with unique setups to finding ways to automate, limit or eliminate manual work
Serve as an escalation point for the team

Strengthen how DI works

Take an active part in shaping and implementing shared tools, processes and automation across the global DI team, including AI-driven workflows such as automated data validation
Help continuously improve merchant onboarding, in both speed and integration quality

Qualifications

Candidates must be currently authorized to work in the United States on a full-time basis without the need for employer visa sponsorship.

4+ years of experience as a leader of data integrations / data solutions / software engineering teams with a focus on data management
6+ years of experience in professional services / software / data engineering roles
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 (QA/QC), 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 LLMs to automate data validation, speed up client onboarding or streamline integration workflows
Proven ability to handle multiple projects with competing priorities
Comfortable working in a fast-paced environment with high-stakes client timelines
Excellent written and verbal communication skills
Understanding of Machine Learning and Data Science is a plus
E-commerce or Payments industry experience is an advantage