Software Engineer - Fraud Detection

Embrace the Future of Commerce with Whatnot!Whatnot is revolutionizing live shopping across North America and Europe, offering a vibrant platform to buy, sell, and explore your favorite items. We are redefining e-commerce by seamlessly blending community, shopping, and entertainment into a unique marketplace tailored for you. As a part of a remote co-located team, our innovation-driven culture is firmly rooted in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we are collectively shaping the future of online marketplaces.From fashion and beauty to electronics and collectibles like trading cards, comic books, and live plants, our live auctions cater to diverse interests.And this is just the beginning! As one of the fastest-growing marketplaces, we seek innovative, forward-thinking problem solvers across all areas. Follow our latest updates on our news and engineering blogs and be part of our mission to empower individuals to turn their passions into thriving businesses, while fostering connections through commerce. Role OverviewThe Fraud Experience team is dedicated to building intelligent, real-time systems that protect Whatnot’s marketplace from fraudulent activities. We focus on designing, developing, and deploying end-to-end, machine-learning driven systems that proactively identify and combat fraud, ensuring a transparent, user-centered enforcement approach.Your ResponsibilitiesArchitect and lead the development of comprehensive fraud detection, prevention, and intervention systems, integrating machine learning, backend, and client-side components.Construct intelligent user graphs to analyze behavioral patterns, identify collusion networks, and reveal account connectivity at scale.Design, train, and implement both traditional ML and LLM-powered models to detect fraudulent behavior across user interactions, payments, and marketplace activities.Create scalable data pipelines and real-time inference systems able to handle high-volume, low-latency machine learning tasks.Develop human-in-the-loop systems that continually enhance detection accuracy and adapt to evolving adversarial strategies.Conduct in-depth behavioral and adversarial data analysis to identify emerging fraud trends and drive continuous improvement.

Join our dynamic team at Mercury as a Staff Software Engineer specializing in Fraud Detection. In this role, you will leverage your engineering expertise to develop innovative solutions that enhance our fraud prevention strategies. Collaborate with cross-functional teams to design and implement scalable systems that protect our users and ensure the integrity of our platform.We are looking for a passionate engineer who thrives in a fast-paced environment and is eager to take on challenges that impact our customers' experience. Your contributions will play a crucial role in shaping the future of financial security.

About Extend:Extend is transforming the post-purchase experience for retailers and their customers by delivering AI-powered solutions that enhance customer satisfaction and drive revenue growth. Our all-inclusive platform provides automated customer service, seamless returns and exchange management, comprehensive automated fulfillment, and product and shipping protection, alongside Extend's state-of-the-art fraud detection. By merging cutting-edge technology with outstanding customer service, Extend enables businesses to cultivate trust and loyalty among consumers while minimizing costs and maximizing profits.With over 1,000 leading merchant partners in various sectors, including fashion, cosmetics, furniture, jewelry, consumer electronics, auto parts, and sports and fitness, Extend is backed by renowned technology investors. Our headquarters is located in the heart of San Francisco.About The RoleThe Fraud Intelligence team is pivotal to Extend’s post-purchase protection platform. We create innovative analytics engines that leverage signals and transactions from millions of users to identify and prevent fraud, foster smarter decisions, and unlock business value.We thrive on discovering insightful patterns in complex data to thwart fraud effectively. In this role, you will have the chance to develop new fraud prevention product features and analytics capabilities from the ground up, collaborating cross-functionally to devise go-to-market strategies based on your analyses.If you are passionate about data, driven by impact, and eager to solve intricate challenges in the realm of analytics and fraud prevention, you will excel in our team. This is a high-ownership role where your contributions will directly safeguard retailers, enhance customer trust, and boost the company’s financial performance!What You’ll Be DoingAnalyze large-scale behavioral, transactional, and interaction data to identify signals indicative of fraud and abuse.Utilize your strong business acumen to quickly pinpoint actionable insights, analyze fraud patterns, and validate hypotheses.Influence business cases and pricing strategies, contributing to proof-of-concept initiatives with prospective merchants.Respond promptly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams.Work closely with leadership, go-to-market, fraud operations, product, and engineering teams to implement strategies effectively.

Airbnb, Inc. has changed how people travel since 2007, connecting guests with hosts in nearly every country. With over 5 million hosts and more than 2 billion guest arrivals, the company’s marketplace centers on authentic stays and community experiences. About the Fraud and Safety Operations Team This trusted team protects Airbnb’s hosts, guests, and platform integrity. Fraud intelligence, data analytics, and platform protection are core to their mission. Team members work closely with Data Science, Product, Global Operations, Safety, Legal, and Community Policy to address new and evolving threats. Role Overview: Manager of Fraud Intelligence The Manager of Fraud Intelligence leads efforts to identify and stop emerging fraud and abuse tactics. This role shapes proactive fraud strategies, disrupts upstream risks, and builds systemic defenses. The work directly reduces fraud losses and strengthens Airbnb’s ability to anticipate risk. What You Will Do Mentor and Lead: Guide a specialized team in analyzing large-scale fraud signals. Translate complex data into actionable controls, rules, and policies that limit the impact of bad actors. Data Analysis: Use SQL and Python to study fraud trends. Apply visualization tools to support data-driven decisions. Cross-Functional Collaboration: Partner with teams across the company to design and launch effective fraud countermeasures and automated defenses. Reporting: Prepare and deliver detailed investigative reports and fraud intelligence summaries for leadership and cross-functional partners. Use Slides and data visualization tools to communicate findings. Incident Response: Lead the response to critical incidents, maintaining platform integrity and community safety during major events or new threat escalations. Continuous Improvement: Identify and implement opportunities to automate and enhance fraud detection systems. Location United States

Propel the Future of Commerce with Whatnot!Whatnot stands as the premier live shopping platform across North America and Europe, where you can buy, sell, and explore your favorite items. We are revolutionizing e-commerce by merging community, shopping, and entertainment into a unique experience tailored just for you. Our remote co-located team thrives on innovation, deeply rooted in our core values. With operational hubs in the US, UK, Germany, Ireland, and Poland, we are collaboratively crafting the future of online marketplaces.From fashion and beauty to electronics and collectibles, including trading cards, comic books, and even live plants, our live auctions offer something for everyone.As one of the fastest-growing marketplaces, we seek audacious, forward-thinking problem solvers across all functions. Stay updated on the latest from Whatnot through our news and engineering blogs, and join us in empowering individuals to transform their passions into thriving businesses while fostering community through commerce. Role OverviewArchitect, train, and deploy both traditional machine learning and LLM-powered models for detecting fraudulent activities across user interactions, payment processes, and marketplace transactions.Oversee the complete architecture of fraud detection, prevention, and intervention systems—striking a balance between robust platform security and an intuitive user experience.Develop intelligent user graphs to analyze behavioral patterns, collusion networks, and account interconnections.Construct scalable data pipelines and real-time inference systems designed for high-volume, low-latency machine learning workloads.Perform in-depth behavioral and adversarial data analysis to identify emerging fraud patterns and enhance detection precision.Collaborate cross-functionally with Trust & Safety, Payments, and Infrastructure teams to create feature sets, labeling systems, and model evaluation processes.Establish model monitoring and drift detection frameworks to maintain system reliability and adaptability.Engage in fraud risk orchestration, integrating rules, models, and heuristics for automated decision-making.Define and monitor key performance metrics and dashboards for effective fraud detection and management.

Join Cardless Inc. as a Fraud Strategy Manager or Senior Manager specializing in Transaction Fraud. In this pivotal role, you will lead the development and implementation of innovative fraud prevention strategies to safeguard our customers and minimize risk. You will work closely with cross-functional teams to analyze data trends and enhance our fraud detection capabilities.Your expertise will drive initiatives that not only protect our assets but also enhance customer trust in our services. If you are passionate about leveraging data to combat fraud and are ready to take on a leadership role in a dynamic environment, we want to hear from you!

Join Cardless, Inc. as the Director of Fraud Operations, where you will lead our efforts to combat fraud and protect our customers. In this pivotal role, you will develop and implement strategies to detect and prevent fraudulent activities while ensuring a seamless user experience. Your expertise will guide a dedicated team in enhancing operational efficiency and maintaining the integrity of our services.

Founded in 2007, Airbnb has transformed travel by connecting hosts and guests in over 190 countries. With a community of more than 5 million hosts, we facilitate unique stays and experiences, enabling guests to immerse themselves in local cultures.Join Our Trust-Focused Community:At Airbnb, trust is our top priority, and our dedicated team works tirelessly to ensure a safe and secure platform. As part of the Trust team, you will play a crucial role in safeguarding our community from fraud and ensuring the quality of our hosts, guests, and listings. This involves combating both online threats like account compromise and offline risks such as property damage and personal safety. Your work will help us build and maintain trust within our vibrant community.Make a Significant Impact:In your role within the Trust Engineering team, you will design and implement large-scale systems aimed at detecting and mitigating fraudulent activities across our platform. Collaborating closely with product, data science, and operations teams, you will develop real-time risk detection services that adapt to evolving threats, helping to make Airbnb the safest and most trusted platform in the industry.Your Daily Responsibilities:Design and operate resilient, scalable distributed systems.Enhance platform capabilities to counteract the evolving fraud landscape, collaborating with various engineering teams.Contribute vital insights to the Trust Platform's roadmap and strategic initiatives.

About Extend:Extend is transforming the post-purchase landscape for retailers and their customers by delivering AI-driven solutions that boost customer satisfaction and stimulate revenue growth. Our all-inclusive platform automates customer service, streamlines returns and exchanges, manages fulfillment end-to-end, and ensures product and shipping protection, all while providing top-tier fraud detection services. By combining cutting-edge technology with outstanding customer service, Extend enables businesses to foster trust and loyalty among consumers, while cutting costs and amplifying profits.Currently, Extend collaborates with over 1,000 prominent merchant partners across various sectors such as fashion, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and beyond. Backed by leading technology investors, our headquarters is located in the vibrant heart of San Francisco.About the Role:This is a Full-Time Evening position requiring availability Monday through Friday from 2:00 PM to 11:00 PM Pacific Time. While this is a remote role within the US, we cannot accept applications from residents of California. You do not need to reside in the Pacific Time zone to apply; however, the working hours will remain as stated (2:00 PM - 11:00 PM PT). Candidates who are not available to work Monday through Friday evenings from 2 PM - 11 PM PT need not apply.As a Fraud Operations Specialist, you will join a dynamic Fraud Operations team, engaging in regular fraud investigations to identify fraudulent activities and enhance the experience for genuine customers. Your investigations will help detect trends in fraud and abuse, uncovering new avenues to positively influence Extend’s internal processes. This role necessitates direct experience in fraud and abuse operations (preferably in an eCommerce context), a strong grasp of fraud concepts, excellent communication skills to collaborate with cross-functional stakeholders, and proficiency in spreadsheet and data processing software.What You Will Be Doing:Real-Time Claim Review: Analyze claims in real-time for potential fraud or abuse cases, utilizing your information-gathering and communication abilities to ensure adequate evidence for fraud determinations, while providing insightful feedback for Extend’s risk models.Risk Score Judgments: Assess customer behaviors to determine risk scores and contribute to the refinement of risk assessment models.

Mercury is hiring a Manager - Account Fraud Enablement to help protect clients from fraudulent activity. This role shapes how the company detects and prevents account fraud, supporting a secure banking experience for users. Role overview The Manager - Account Fraud Enablement develops and refines strategies to identify and stop fraudulent behavior. This includes designing systems for fraud detection, analyzing data for emerging trends, and working with teams across the company to strengthen fraud prevention efforts. Key responsibilities Create and implement methods to detect and prevent account fraud Analyze data to spot patterns and potential risks Collaborate with teams throughout Mercury to improve fraud prevention tools and processes Location This position is open to candidates in San Francisco, New York, Portland, or remote within Canada or the United States.

About CrunchyrollFounded by fans, Crunchyroll is dedicated to delivering the art and culture of anime to a vibrant community. Connecting over 100 million anime and manga enthusiasts across 200+ countries and territories, we create experiences that resonate, whether through online streaming, theatrical releases, games, merchandise, or events. Join us in shaping the future of anime!About the RoleAs a Senior Machine Learning Engineer focusing on Fraud Detection, you will collaborate with the Director of Data Science and Machine Learning within our Center for Data and Insights. This position can be based in either the Los Angeles or San Francisco area.Your expertise will drive the design and implementation of scalable machine learning models aimed at detecting account sharing fraud. Utilizing user behavior data such as geolocation, concurrent sessions, and device profiles, you will work closely with data scientists, product analysts, and data engineers to transform research prototypes into production systems that improve detection accuracy while minimizing user disruption. Your contributions will align with industry best practices, driving subscriber growth in our VOD streaming platform.Core Areas of ResponsibilityDesign and implement machine learning algorithms, including real-time anomaly detection models to identify unauthorized account sharing.Develop comprehensive ML pipelines for data preprocessing, model training, evaluation, and deployment leveraging cloud platforms.Optimize models for performance, scalability, and efficiency to accommodate high-volume streaming data.Integrate machine learning solutions with existing systems via APIs while establishing monitoring for model drift and retraining.Collaborate on A/B testing and iterative improvements to refine algorithms in response to evolving evasion tactics.

SentiLink is at the forefront of identity verification and risk management solutions, providing individuals and institutions with the tools they need to transact securely and confidently. Our mission is to revolutionize the identity verification landscape in the U.S. by offering solutions that are ten times faster, smarter, and more precise than traditional methods.Experiencing rapid growth, our real-time APIs have successfully verified hundreds of millions of identities, initially in financial services and now branching into various new sectors. We are backed by prestigious investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.Our efforts have been recognized by leading media outlets such as TechCrunch, CNBC, Bloomberg, Forbes, and Business Insider, and we are proud to be included in the Forbes Fintech 50 list since 2023. We made history as the first company to launch the eCBSV and have presented our insights before the United States House of Representatives.At SentiLink, we embrace flexibility in the workplace, offering options from fully remote positions to in-office opportunities. Our digital-first culture fosters collaboration across teams based in the U.S. and India, with physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, Chicago, Gurugram, and Bengaluru. If you are near one of our offices, we encourage you to engage with your colleagues in person regularly, as some roles are designed to be hybrid or in-office, such as our engineering team based in Gurugram.Role OverviewAs a Fraud Intelligence Analyst on the Fraud Intelligence Team (FIT), you will be pivotal in how SentiLink identifies and mitigates fraud in our production environment.This position is tailored for ambitious individuals eager to gain comprehensive insights into fraud dynamics, product development, and the operational aspects of a fraud prevention company. The role demands a high pace of work, wide-ranging exposure, and proactive engagement to fast-track your professional growth.The FIT team operates at the crossroads of fraud investigation, product innovation, and revenue generation. Your contributions will directly influence the evolution of our fraud models and how we communicate fraud-related challenges to our clients.

Extend seeks a Fraud Operations Specialist I to join its remote US team. This position plays a key role in protecting both merchants and customers by investigating potential fraud and supporting a secure transaction environment. The work centers on analyzing data, identifying suspicious patterns, and helping refine risk management processes. What you will do Review claims in real time: Assess incoming claims for signs of fraud or abuse. Collect relevant information, communicate findings, and offer insights that help improve risk models. Make risk score judgments: Analyze customer behavior and incidents using various data sources. Begin with evaluating risk scores and progress to recommending claim approvals or denials based on your assessments. Lead fraud investigations: Conduct thorough investigations and share updates on emerging fraud and abuse trends with the team. Follow procedures: Manage each investigation from start to finish, adhere to all regulatory and departmental guidelines, base decisions on evidence, and report any discrepancies you encounter. Requirements Experience in fraud operations, preferably within eCommerce Strong communication skills Comfort with spreadsheets and data analysis tools Extend supports more than 1,000 merchant partners across industries like fashion, electronics, furniture, and more. The company combines advanced technology and attentive support to help partners manage post-purchase needs, including fraud detection. This role is fully remote within the United States.

About the TeamThe Applied team is dedicated to responsibly introducing OpenAI's groundbreaking technology to the global community. We have launched revolutionary products like ChatGPT, Plugins, DALL·E, and APIs for GPT-5, embeddings, and fine-tuning. Additionally, we manage extensive inference infrastructure to support our rapidly advancing initiatives.Our clients leverage our APIs to create dynamic businesses with innovative product features previously thought impossible. For instance, ChatGPT exemplifies the capabilities our technology currently offers. We prioritize the responsible use of our powerful tools, ensuring that safety remains paramount over unrestricted growth.The Fraud Engineering team operates within the Applied Engineering organization, focusing on identifying and mitigating fraudulent activities on our platform. We are seeking a software engineer with expertise in anti-fraud and abuse systems to help us design and implement next-generation solutions.About the RoleThe Scaled Abuse team safeguards OpenAI’s products and users by detecting, preventing, and addressing fraudulent and abusive activities on a large scale. We develop and maintain backend and data systems that facilitate real-time detection, investigative workflows, and enforcement, ensuring a balance between robust protection and an excellent user experience as our platform evolves.Our work lies at the convergence of engineering and abuse prevention expertise. We collaborate closely with Trust & Safety, Security, and Product teams to identify emerging attack trends, translate complex signals into actionable system behavior, and continuously enhance our defenses. We value engineers who can navigate unfamiliar codebases swiftly, develop a deep understanding of system functionality, and suggest practical improvements to enhance overall resilience.In This Role, You Will:Design and develop systems for fraud detection and remediation, balancing fraud loss, implementation costs, and customer experience.Collaborate with finance, security, product, research, and trust & safety teams to effectively combat fraudulent and abusive behaviors on our platform.Stay updated with the latest techniques and tools to remain ahead of determined adversaries.Utilize GPT-5 and future models to enhance our fraud and abuse mitigation efforts.You May Thrive in This Role If You:Possess at least 5 years of software engineering experience, particularly in backend and data systems.

About FaireFaire is an innovative online wholesale marketplace that champions local businesses. We believe in empowering independent retailers worldwide, who collectively generate more revenue than retail giants like Walmart and Amazon. By leveraging advanced technology, data analytics, and machine learning, we connect these vibrant entrepreneurs with the best products globally. Our mission is to provide the necessary tools and insights to level the playing field, enabling small businesses to thrive against large corporations.By nurturing the growth of independent businesses, Faire is making a positive economic impact in communities around the world. We are searching for intelligent, resourceful, and passionate individuals to join us in advancing the shop local movement. If you share our belief in community, we invite you to become part of ours.About this RoleWe are seeking a seasoned Fraud Analyst dedicated to safeguarding the integrity of our brand and retail partners. In this role, you will identify fraud risks, enhance detection mechanisms, and fortify our fraud and abuse prevention programs.As a key member of the Risk organization’s Fraud & Abuse team, you will work closely with functional experts and cross-functional teams to execute proactive fraud mitigation strategies. Your hands-on experience with fraud data, investigations, and operational processes will contribute to continuous improvement in our systems and outcomes.This position is perfect for someone eager to make a significant impact as an individual contributor in the Fraud & Abuse arena, where you will take ownership of specific projects with considerable autonomy while deepening your expertise in fraud and risk management.What You’ll DoCollaborate with senior team members and leadership to implement and refine fraud and abuse strategies, adapting to emerging risks.Oversee and enhance moderate levels of fraud investigations and escalations, applying sound judgment to balance risk, customer experience, and operational consistency.Identify weaknesses in current policies, products, or processes, and assist in defining and implementing mitigation strategies, taking ownership of specific aspects of the work.Work collaboratively with teams including Data Science, Engineering, and Product to foster a culture of security and trust.

Join AirwallexAt Airwallex, we're redefining the landscape of global payments and financial services. As the foremost unified payments platform tailored for international businesses, we harness our proprietary technology and innovative software to empower over 200,000 enterprises, from Brex to SHEIN. Our integrated solutions encompass everything from business accounts and payments to treasury management and embedded finance.Founded in Melbourne, our team comprises over 2,000 talented individuals across 26 global offices. With a valuation of US$8 billion and support from elite investors like T. Rowe Price and Visa, we're pioneering the future of finance. If you're ready to embark on the most ambitious journey of your career, we invite you to join us.What We ValueWe seek builders with an entrepreneurial mindset who are eager to make a tangible impact while accelerating their professional growth. You should possess strong domain expertise, be driven by our mission and operating principles, and have a knack for making swift, well-informed decisions. Your curiosity will lead you to explore deeply, while your ability to balance speed with thoroughness will be crucial.Your collaborative spirit and humility will help transform innovative ideas into tangible products. Here, you will tackle complex challenges alongside exceptional colleagues as we shape the future of global banking. If this resonates with you, let’s create what’s next together.In the Product team at Airwallex, we are passionate about designing customer-centric solutions that empower businesses to operate seamlessly across borders. We blend technical skills with a deep understanding of our clients' needs to develop integrated, user-friendly, and scalable products. Our fast-paced environment encourages innovation and iterative progress to deliver outstanding product experiences.As part of the Risk Platform team, you will enhance our Anti-Fraud capabilities to safeguard our customers from payment fraud. Your role will involve developing and executing strategies to prevent, detect, and mitigate fraud on a global scale, while leading fraud-related initiatives.

About Our TeamThe Account & Platform Integrity team at OpenAI is dedicated to maintaining the integrity of our ecosystem by combating fraud, impersonation, abuse, and various account-level threats. Our mission is to verify that individuals and organizations engaging with OpenAI are legitimate, ensuring appropriate access and preventing misuse of the platform.Collaborating closely with Product, Engineering, Legal, Go-To-Market, and Support teams, we work at the critical intersection of identity verification, compliance, and abuse prevention. Our proactive measures safeguard user trust, protect revenue, and ensure the safety of our platforms, including ChatGPT, the API, and enterprise solutions.About the RoleWe are seeking a detail-oriented Fraud & Risk Analyst to enhance OpenAI’s security measures by investigating, validating, and monitoring customer accounts and organizations. Your focus will be on identity verification, legitimacy assessment, and risk management, ensuring accounts are accurately verified and emerging threats are swiftly identified.In this pivotal role, you will conduct sensitive investigations involving fraud, impersonation, sanctions, misuse of access, and coordinated abuse. Your contributions will play a crucial role in determining who can utilize OpenAI’s products and ensuring our ability to scale safely.Please note: This position may involve reviewing sensitive or confidential content.This position follows a hybrid work model, requiring 3 days in our San Francisco office each week.Key ResponsibilitiesConduct thorough reviews and verifications of customer identities, organizations, and ownership structures.Investigate accounts flagged as suspicious or high-risk, including cases of fraud, impersonation, shell companies, and abuse of API or ChatGPT access.Analyze documents, internal data, and third-party resources to assess legitimacy and risk levels.Implement account-level actions such as approvals, restrictions, suspensions, or escalations as needed.Act as the primary case owner for complex, high-visibility verification and integrity-related cases.Collaborate with Legal, Compliance, Sales, and Support teams to resolve issues efficiently and accurately.Manage escalations, appeals, and sensitive communications with customers.Assist in designing and enhancing verification processes, fraud detection mechanisms, and risk-scoring systems.Contribute to the development of automation, tooling, and technology improvements to bolster risk management.

Join Condor Software as a Full-Stack Platform EngineerAt Condor, we are revolutionizing the financial infrastructure that supports clinical development. With billions invested annually in discovering and developing new therapies, we strive to connect clinical operations and finance into a cohesive system. By integrating real-time financial intelligence, we empower R&D and finance leaders with the tools they need to make informed, high-stakes decisions.We are an AI-driven, pharma-native infrastructure provider, scaling industry standards in collaboration with top-tier partners. Our platform facilitates prediction, control, and execution in the most complex R&D environments worldwide.The Importance of Your RoleHaving established ourselves as a trusted partner for enterprise teams, we are now focused on the challenging task of scaling our platform to meet increasing demands. As a rapidly growing company, backed by prominent investors like Felicis and 645 Ventures, this is a unique opportunity to contribute to the foundational infrastructure that will redefine how therapies reach patients.Your ResponsibilitiesAs a Full-Stack Platform Engineer, you will be pivotal in building and scaling the core platform that supports the financial intelligence infrastructure relied upon by leading biopharma companies. This role encompasses critical engineering tasks at the intersection of backend systems, cloud infrastructure, and intelligent automation, with a strong emphasis on reliability and scalability.Your primary focus will be on backend architecture, where you'll design and implement services that drive complex financial and operational workflows. You'll be instrumental in shaping data flow, workflow orchestration, and enabling emerging AI-driven capabilities. This role goes beyond simple integration; you'll be crafting robust primitives that support other teams as our product and customer base expand.Working as a core member of a cross-functional product team, you will closely collaborate with product managers, designers, quality engineers, and data specialists to transition features from concept to production. While backend expertise is crucial, you will also engage across the stack to ensure the platform's capabilities are effectively leveraged.

About Extend:At Extend, we are transforming the post-purchase landscape for retailers and their customers through innovative AI solutions that enhance customer satisfaction while driving revenue growth. Our robust platform provides automated customer service, seamless returns and exchanges, comprehensive fulfillment solutions, and top-tier product and shipping protection, all complemented by our industry-leading fraud detection capabilities. By merging cutting-edge technology with exceptional customer service, Extend enables businesses to foster trust and loyalty, reduce operational costs, and boost profitability.Currently, Extend collaborates with over 1,000 esteemed merchant partners across various sectors, including fashion, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports, and fitness. Supported by some of the most influential technology investors in the field, our headquarters are located in the heart of San Francisco.About the Role:The Fraud Intelligence team is pivotal to Extend's post-purchase protection strategy. We develop advanced analytics engines utilizing signals and transactions from hundreds of millions of users to identify and prevent fraud, enhance decision-making, and unlock business potential.Our passion lies in revealing intricate patterns within complex data to thwart malicious activities and prevent fraud. In this role, you will have the chance to design new fraud prevention features and analytical capabilities from inception. Collaborating cross-functionally, you will formulate go-to-market strategies grounded in your analysis.If you possess a passion for data, are driven by impact, and are eager to solve intricate challenges at the intersection of analytics and fraud prevention, our team will be a perfect fit for you. This is a high-responsibility role where your contributions will directly safeguard retailers, bolster customer trust, and enhance the company's profitability!