Jobs at Riskified

Build and maintain reusable frontend and backend infrastructure libraries and services across the stack. Own feature lifecycle from design with Product and Design through implementation, CI/CD deployment, and monitoring. Work on scalable microservices and applications supporting Riskified's fraud management products.

Lead an engineering team building Riskified's Adaptive Checkout microservices: deliver production-quality, high-scale services, integrate AI tools, collaborate with product/research, plan roadmap, mentor engineers, and ensure reliability and performance.

Partner with tech managers to assess learning and organizational development needs, design and deliver learning solutions and workshops, support change management with HRBPs and vendors, spearhead talent development initiatives, and monitor program impact and effectiveness.

Design, harden, and automate secure cloud infrastructure and workflows. Build IaC with Terraform, collaborate with dev/SRE/security teams, monitor and improve AWS environments, script automation, and embed security across the application lifecycle.

Design and implement highly scalable backend architectures and machine-learning platforms. Build real-time and batch pipelines, deploy daily via CI/CD, collaborate with product and engineering teams, mentor developers, and maintain production monitoring and performance at scale.

Design and implement global enablement programs for sales teams, ensuring training materials support revenue growth and retention. Analyze gaps, develop content, and deliver training while tracking program effectiveness.

As a Data Science Team Lead, you will manage a team of Data Scientists, collaborate with cross-functional teams, develop machine learning models, and oversee their integration into production systems.

Manage a portfolio of large enterprise merchants to maximize value, drive upsell/renewals, and align product capabilities with customer outcomes. Build executive relationships, use data to monitor account health, navigate complex deals and negotiations, and coordinate cross-functional teams to ensure successful delivery and customer retention.

Own the full recruitment lifecycle for Lisbon and Portugal roles: source, screen, interview, manage offers, and close candidates. Partner with hiring managers and HRBPs, build talent pipelines, use LinkedIn Recruiter and analytics to monitor KPIs, ensure compliance with local labor laws, and support employer branding and process improvements.

Design, build, and maintain scalable APIs, connectors, and integration layers to onboard third-party vendors. Implement AI/agentic solutions and LLM integrations to automate onboarding. Work full-stack (frontend and backend), maintain CI/CD pipelines, and partner with Product and Domain experts to deliver reliable production services and drive the team roadmap.

The Corporate Counsel will handle SEC reporting, corporate governance, and regulatory compliance, while providing legal support and advice to the company on various corporate matters.

Lead a team building large-scale, real-time and batch systems for merchant order analysis, combining backend infrastructure and browser/device fingerprinting. Own architecture, hands-on development, hiring, Agile process, and collaborate with research, data science, and product to deliver fraud-detection features.

Manage daily office operations and facilities for NYC office, including vendor and landlord relationships, space planning, security, budgets, relocations, travel logistics, and executive assistant support to senior leadership.

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.

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.