Riskified
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Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Designs and operates reusable AI capabilities, platforms, APIs, tools, agent infrastructure, RAG systems, evaluation frameworks, and guardrails. The role develops an internal MCP server, drives AI adoption, consults with cross-functional stakeholders, and owns projects from requirements through deployment and operations. It requires strong backend engineering, cloud experience, DevOps capability, product thinking, and organizational influence.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Supports accounting operations, financial statement preparation, billing, revenue recognition, budgeting analysis, internal controls, SOX compliance, audits, and monthly billing cycles. The role investigates variances and billing issues, maintains accounting documentation, develops reports and KPIs, improves workflows through automation and AI tools, and collaborates with Finance, Sales, Development, Product, Legal, and other teams.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Leads Riskified’s Strategic Account Executive team and North American enterprise sales strategy. Responsibilities include developing Fortune 500 relationships, identifying customer needs, defining ROI, negotiating contracts, driving revenue targets, creating value propositions, and expanding adoption of fraud and risk solutions. The role also involves strategic analysis, cross-functional collaboration, industry representation, and building relationships across the payments ecosystem.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Manage strategic enterprise merchants as their primary Riskified contact. Monitor and communicate KPIs, analyze solution usage, identify upsell opportunities, support long-term account expansion, optimize customer experience cross-functionally, and assist new customers during platform onboarding. The role requires strong client-facing, analytical, communication, problem-solving, and collaboration skills, plus extensive international experience and familiarity with ecommerce, FinTech, or B2B SaaS.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Lead innovation for Riskified’s Identity Graph Engine by researching, architecting, and deploying large-scale machine learning models for identity resolution and fraud prevention. Build models across graph, tabular, and sequence data; guide research roadmaps and technical standards; integrate ML pipelines into real-time production systems; benchmark academic research; collaborate with engineering and product teams; and mentor senior data scientists.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Manage relationships with Riskified’s largest merchants as their primary contact. Monitor and communicate KPIs, analyze product usage, lead upsell opportunities, support long-term account expansion, optimize customer experience cross-functionally, and assist with onboarding new customers. The role requires strong enterprise client-facing experience, analytical and communication skills, strategic thinking, and preferably an ecommerce, FinTech, or B2B SaaS background.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Operate and improve the corporate security stack across endpoints, identities, SaaS applications, email, and AI tools. Monitor alerts, respond to incidents, conduct forensic investigations, manage identity controls, secure SaaS integrations, implement DLP, coordinate patching and vulnerability remediation, evaluate security tools, and establish guardrails and detections for AI assistants, coding agents, and MCP integrations.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Manage end-to-end recruitment across technology, go-to-market, and executive roles. Partner with hiring managers and HRBPs, develop sourcing strategies, build talent pipelines, deliver strong candidate experiences, negotiate offers, and use AI tools, automation, KPIs, and analytics to improve hiring performance. Support employer branding and recruitment process improvements in a global, fast-paced environment.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Investigate emerging fraud patterns and modus operandi across merchants by analyzing large-scale transactional data with SQL, R, and Python. Collaborate with Data Science, Product, Engineering, Risk Operations, and Account Management to develop and improve fraud-detection tools. Monitor detection performance, identify gaps and drift, translate findings into actionable insights, and document methodologies. The role supports fraud prevention, detection accuracy, and merchant performance.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Welcomes and directs visitors, manages calendars, meetings, conference rooms, office communications, mail, deliveries, facilities maintenance, access control, office supplies, inventory, and event logistics. Provides administrative support while maintaining a professional and secure office environment. Requires bilingual Hebrew and English communication, front desk or administrative experience, strong interpersonal skills, resourcefulness, and availability to work on-site Sunday through Thursday from 09:00 to 18:00.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Manage and update seven multilingual WordPress websites, including landing pages, content, forms, banners, CTAs, resources, and campaigns. Perform SEO, redirects, accessibility checks, cross-browser QA, and content accuracy reviews. Coordinate translations and website requests with Marketing, Design, Content, Product Marketing, and Web Development teams. Monitor website health, document processes, track updates, and identify workflow automation opportunities.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Own the Dispute Resolve product domain end-to-end, from strategy and roadmap through execution. Lead dispute workflow development, integrations with PSPs and gateways, evidence capabilities, product analytics, and performance benchmarks. Collaborate with Engineering, Data Science, Design, GTM, Sales, and Account Management to drive adoption, retention, and revenue growth. Engage merchants and prospects, prioritize the backlog, and serve as the subject-matter expert on dispute management and representment.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Develop client relationships, identify business needs, and drive adoption of Riskified’s ecommerce risk solution. Responsibilities include managing the sales pipeline, delivering presentations, negotiating contracts, conducting strategic analysis, supporting long-term expansion, attending industry events, and building relationships across the payments industry. The role also collaborates with internal teams to support client onboarding and improve the company’s offering through customer feedback.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Develops the Greater China customer base through outbound B2B prospecting, lead management, consultative selling, and enterprise relationship development. The role researches accounts, identifies business pain points, creates sales opportunities, manages leads through early-stage qualification, represents the company at regional events, and collaborates with Account Executives and Integration Engineers. It requires strong Mandarin and English communication, sales hunting experience, and the ability to engage stakeholders across large organizations.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
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.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Lead Riskified’s APAC business development team in Tokyo, driving expansion strategy, team development, strategic prospecting, and qualified sales opportunity generation. Partner with senior sales leadership, represent the company at industry events, research target industries and companies, leverage AI for scalable outreach, and build relationships across the payments and ecommerce ecosystem. The role requires people management experience, complex sales-cycle expertise, analytical thinking, commercial tenacity, and fluency in English and Japanese.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
Lead Riskified’s APAC Business Development team and define regional expansion strategy. Responsibilities include managing and developing business development representatives, using AI to scale personalized outreach, improving prospecting efficiency, researching target industries and companies, partnering with sales leadership, representing the company at industry events, and building relationships across the payments industry. The role requires people-management experience in Japan or Australia, complex sales leadership experience, strong analytical ability, English fluency, and ideally Japanese fluency.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
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).
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
As a Senior AI Engineer, you will design and maintain AI capabilities, develop infrastructure, create evaluation frameworks, and collaborate across teams to integrate AI into products.
Big Data • eCommerce • Fintech • Machine Learning • Payments • Software
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.
