Software Engineering Manager

About the role

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 Booking.com, 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

As an Engineering Manager at Riskified, you’ll lead a team of experienced engineers building real-time decisioning systems that protect merchants from abuse, such as fraudulent refunds and returns. This team plays a central role as Riskified continues to expand its merchant offerings.

You'll work closely with Product, and with Data Science, Analytics, data platform and operations teams. We're looking for a leader who cares about high-scale distributed systems, reliability and clean design, and who can bring focus to a domain with many stakeholders. You should also be an AI enthusiast who's eager to use AI in the product, across the development lifecycle and in how the team is managed.

Our Tech Stack: Kubernetes, Node.js / TypeScript (NestJS), Kafka, Avro, gRPC, AWS, PostgreSQL, Aerospike, Redis, Databricks, Claude Code

What You'll Be Doing

- Lead the team in delivering high-quality products to production, and own the health of business-critical, real-time services.

- Scale the product as it grows into new use cases, merchants and integrations.

- Work with Product Managers to shape the roadmap and turn business opportunities into clear plans.

- Partner with Data Science, analytics and data platform teams so that models and data move reliably between research and production.

- Align priorities and dependencies across teams, including the operational teams that serve our merchants.

- Find and adopt AI-driven tools and methods that make the team more productive and the product more capable.

- Mentor senior engineers, give them real ownership and grow future technical leaders.

- Provide consultation and solutions to customers and management on real business problems.

Qualifications

- Must: 3+ years of experience managing a team of engineers who run services in production.