Top Tech Jobs & Startup Jobs

Lead the Payment Fraud product roadmap to maximize approvals and minimize fraud by partnering with engineering, data science, analysts, and sales. Drive new market entry through vertical research, merchant engagement, pilot programs, and performance tracking (approval rates, fraud rates, chargeback impact).

Scope, implement, validate, and monitor merchant data integrations to ensure accurate input to data science models. Maintain data configuration, create JSON/CSV templates, write Python/SQL/Spark/Databricks/R scripts for testing and transformation, upload historical data, triage alerts, and coordinate with internal and client teams to resolve data issues and improve pipelines.

The Revenue Enablement Manager designs and executes enablement programs for GTM teams, improving sales methodologies, training, and supporting revenue growth.

The FP&A Analyst will support budgeting, forecasting, and financial analysis, providing insights to drive strategic business decisions and monitor financial performance.

Work with enterprise customers to analyze live ecommerce data, research fraud trends, build end-to-end technical solutions, and deliver actionable insights using R, SQL, and Python. Collaborate cross-functionally and present findings to technical and non-technical stakeholders.

As a Data Scientist, you will utilize machine learning and statistical analysis to develop algorithms, perform data modeling, and collaborate with teams to implement data-driven solutions.

Own definition, execution, and evolution of end-to-end merchant platform product flows. Collaborate with Engineering, Design, Data, BI, GTM and Account Management to build orchestration, workflow, and decisioning solutions that drive adoption, retention, and measurable merchant value.

Design, build, and maintain Riskified's Control Center full-stack platform. Own production systems, implement scalable architectures and CI/CD pipelines, deploy daily, solve cross-domain technical problems, collaborate with product and engineering teams, and contribute to roadmap and AI-enabled capabilities.

Build and maintain the Control Center full-stack platform: design scalable, reliable services, own production systems, deploy via CI/CD, solve cross-domain technical problems, shape roadmap, and collaborate with product and engineering teams.

Lead the Policy Protect product to detect and prevent ecommerce policy abuse. Collaborate with data science and engineering to build and maintain ML models, ensure analysis scalability and reliability, define KPIs, prioritize the product backlog, and drive sales opportunities by engaging merchants and partners.