Teams at Riskified

Generate and nurture leads among large enterprises and Fortune 500 companies through strategic research, networking, and tailored outreach. Identify target-company needs and decision-makers, communicate Riskified’s fraud and payments technology value, and contribute directly to revenue growth in a fast-paced, consultative sales environment.

Manage and validate merchant data integrations that feed Riskified’s data science models. Responsibilities include configuring data transformations, onboarding clients, assessing data flows, creating JSON and CSV templates, writing Python, SQL, Spark, Databricks, or R scripts, wrangling large datasets, monitoring data alerts, resolving data issues, and collaborating with engineering, product, data science, research, account management, and sales teams.

Evaluate and improve application security architecture, processes, tools, and documentation. Conduct security design reviews, code reviews, threat modeling, and security testing for applications, AI systems, LLM applications, and AI agents. Identify vulnerabilities and architecture gaps, collaborate with development and product teams on remediation, implement security best practices, and assist with security incident response.