Transmit Security

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices. Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. About the Role: Transmit Security is a top player in its game and is heading for an exciting year. In this role, you will take an integral part in the creation of a new and innovative SaaS product. If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team! What you’ll do: As the Team Leader at Transmit Security, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. You’ll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team! Responsibilities: • Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards. • Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment. • Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement. • Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives. • Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure. What We're Looking For: • 5+ years of software engineering experience, with at least 2 years in a leadership capacity. • Extensive knowledge of distributed computing platforms (Flink, Spark, Beam) and cloud platforms (AWS, GCP, Azure). • Proficiency in programming languages such as Python, Java, Scala, or Go. • Demonstrated strong leadership abilities, including guiding teams, managing backlogs, and fostering effective cross-functional collaboration. • Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems. • Ability to maintain focus on key priorities and excel in a fast-paced, dynamic production environment. Advantages: • Bachelor’s degree in Computer Science or a related field. • Experience with microservice architecture, data management tools (Kafka, Airflow, MLOps), and CI/CD processes. • Familiarity with databases (Postgres SQL, Redis) and Kubernetes. • Background in identity management, risk assessment, or fraud detection. #LI-AM1 #LI-Hybrid

We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention. We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc. About the Role: Transmit Security is a top player in its game and is heading for an exciting year. In this role, you will take an integral part in the creation of a new and innovative SaaS product. If you are a talented software engineer and engineering manager that likes to solve complex problems and looking for your next challenge we want you to join our team! What you’ll do: As the Team Leader of a Detection and Response Engineering team at Transmit Security, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. You’ll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team! The group responsible for 4-5 different products: 1. DRS (fully managed fraud detection solution) 2. Agentic Visibility 3. Citadel (ITP) - lean version of DRS capabilities 4. Transaction Monitoring offering 5. More might come soon Responsibilities: • Lead and guide one of the DRS Engineering teams in the design and deployment of scalable data infrastructure. • Collaborate effectively with cross-functional teams (Data Science, Research, Security, etc.) to ensure alignment on business needs and security standards. • Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment. • Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement. • Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives. • Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure. What you’ll need: • 5+ years of software engineering experience, with at least 2 years in a leadership capacity. • Advantage: and cloud platforms (AWS, GCP, Azure). • Proficiency in programming languages such as NodeJS, Python, Java, Scala, or Go. • Familiarity with databases (Postgres SQL, Redis) and Kubernetes. • Demonstrated strong leadership abilities, including guiding teams, managing backlogs, and fostering effective cross-functional collaboration. • Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems. • Ability to maintain focus on key priorities and excel in a fast-paced, dynamic production environment. • For Data-Science - looking for an Engineering Team lead with a past knowledge / experience in data-science teams. Advantages: • Bachelor’s degree in Computer Science or a related field. • Extensive knowledge of distributed computing platforms (Flink, Spark, Beam) • Experience with microservice architecture, data management tools (Kafka, Airflow, MLOps), and CI/CD processes. • Background in identity management, risk assessment, or fraud detection. #LI-TL1 #LI-Hybrid

We offer the industry’s only platform that seamlessly integrates customer identity and anti-fraud solutions, including identity management, identity verification, and fraud prevention. Our solutions serve industries with large consumer-facing businesses, such as banking, financial services, insurance, fintech, gaming, e-commerce/retail, telecommunications/media, and utilities. About the Group: The Identity Verification group delivers cutting-edge, cross-platform SaaS solutions that help businesses seamlessly verify their users. These solutions leverage advanced AI, machine learning, and computer vision models to enable secure and reliable document-based identity verification. About the Role : You’ll lead a talented team of engineers working across multiple technology stacks, driving innovative solutions that shape the future of digital identity and customer trust. What You’ll Do : • Lead a talented team of engineers, mentor and grow them. • Drive the design, architecture, and delivery of complex SaaS features — across backend, web, and mobile. • Collaborate with Product, UX, and Data Science to deliver impact. • Oversee production systems in high-scale, mission-critical environments. • Champion best practices and foster a “can-do” engineering culture. What You’ll Need : • 5+ years as a software engineer, 3+ years leading teams. • Hands-on experience with modern web stacks (React, Node.js, Java, .NET Core, or Scala). • Strong understanding of cloud platforms (AWS / GCP / Azure). • Proven record of leading projects end-to-end in a fast-moving environment. • A passion for building systems that scale, perform, and make a difference. • (Bonus) Background in cybersecurity, AI, or computer vision. If you’re passionate about building scalable systems that protect millions of users — and want to work with top engineers on cutting-edge security tech — this is your place. #LI-AM1 #LI-Hybrid

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices. Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. About the Role: Providing an identity security platform to some of the most sensitive organizations in the world, product security is key in Transmit Security. As a Product Security Architect, you will be responsible for designing, shaping, and evolving the security architecture of all of our SaaS services. You’ll be focused on proactively reducing security risks by performing architectural reviews, providing guidance and governance for security programs, owning application security training all through close collaboration with development and DevOps teams. What you’ll do: • Security Architecture & Design • Security Reviews and Threat Modeling • Application Security Training • SDLC Security • Establish and provide guidance around application security and DevSecOps security programs What you’ll need: • Deep understanding of Web technologies and web application security including deep understanding of common vulnerabilities in application and infrastructure security. • Deep understanding of identity and authentication standards such as OIDC, OAuth, SAML • Strong background in security architecture • Experience running security reviews • Excellent coding capabilities and skills to identify application security issues in code

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices. Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. About the Role: As a Devops engineer you will be a part of a team that serves one of our products and play a critical role in designing, building and maintaining our whole devops stack - from code to production and ensuring that we will have a state of the art system. What you’ll do: • Be a part of a team of 3 devops engineers • Work closely with our R&D groups and teams including developers, data teams and architects • Work both on infrastructure and on CI/CD areas • Work on our devops stack such as Grafana, ArgoCD , P8s , Git, etc What you’ll need: • At least 5 years of Devops experience. • At least 5 years of experience managing cloud infrastructure as code - GCP or AWS. • At least 4 years of experience with K8s and its eco-system • At least 2 years of experience in production • Good familiarity with devops patterns and methodologies such as gitops ,helm ,deployment patterns, CI/CD patterns and implementation. • Experience with Google data products such as BigQuery, BigTables, CloudSQL, Cloud Spanner • Experience with machine learning serving platforms such as Ray, Vertex - Big Advantage • Network concepts and WAF experience. • Cloudflare - Big advantage • Github, ArgoCD - advantage. #LI-AM1 #LI-Hybrid

We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention. We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc. About the Group: The Identity Verification group delivers cutting-edge, cross-platform SaaS solutions that help businesses seamlessly verify their users. These solutions leverage advanced AI, machine learning, and computer vision models to enable secure and reliable document-based identity verification. About the Role: The QA & Automation Lead is responsible for driving the quality assurance strategy within the group, ensuring the delivery of high-quality software products through effective test automation frameworks and best practices. What you’ll do: • Define comprehensive test strategies based on system architecture and business requirements. • Design and implement the overall QA automation strategy and framework architecture. • Analyze system architecture to identify critical testing areas and potential risks. • Design end-to-end test scenarios covering multiple system components and integrations. • Participate in system design reviews to ensure testability. • Define and maintain automation best practices, coding standards, and test design patterns. • Evaluate and recommend tools and technologies for test automation. • Collaborate with development teams to ensure testability and quality throughout the SDLC. • Drive continuous integration and continuous testing practices. • Create and maintain automated test metrics and reporting dashboards. • Partner with product and development leads to define quality gates and release criteria What you’ll need: • 5+ years of QA automation experience. • Excellent communication skills. • Strong experience with automation frameworks and tools (e.g. Selenium, Cypress, Playwright, TestNG, JUnit). • Proficiency in at least one programming language (e.g. Java, Python, JavaScript). • Experience with CI/CD tools (e.g. Jenkins, GitLab CI, GitHub Actions). • Knowledge of Agile methodologies. • Strong understanding of distributed systems architecture, microservices, and testing approaches. • Experience designing test strategies for data science teams. #LI-AM1 #LI-Hybrid

We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention. We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc. About the Role: Transmit Security is a top player in its field and is heading into an exciting year. In this role, you will take an integral part in researching, designing, and improving advanced fraud and abuse detection capabilities for a cutting-edge SaaS product. We are looking for a hands-on security researcher who combines an attacker mindset, fraud-domain curiosity, strong technical depth, and data analysis skills. You will investigate real-world fraud patterns, reproduce attacker techniques, analyze telemetry, enrich our data collection capabilities, discover new security signals, and work closely with product, data, and engineering teams to turn research insights into production-grade detection and prevention mechanisms. This role is especially relevant for researchers with experience in browser technologies, mobile-native applications, or both. You may work on desktop and mobile browsers, browser APIs, browser automation, client-side signals, native mobile applications, Android/iOS behavior, mobile security, emulators, device signals, and mobile automation. You will help expand our visibility into new signals and patterns that improve fraud detection, model performance, and customer protection. If you are a talented researcher who enjoys solving complex problems, working with messy real-world data, and building practical defenses against modern fraud and abuse, we want you to join our team. What you’ll do: • Research emerging fraud and abuse techniques across account takeover, bots, automation, phishing, social engineering, device spoofing, emulators, remote access tools, suspicious network infrastructure, and related attack vectors. • Identify, design, and validate new data collection opportunities, security signals, behavioral patterns, device indicators, browser indicators, and mobile app indicators. • Analyze real-world telemetry, customer-provided labels, behavioral signals, device signals, network indicators, and attack patterns to identify detection opportunities. • Reproduce attacker techniques in lab and production-like environments, generate telemetry, identify detection gaps, and translate findings into detection logic. • Design, validate, and tune detection and prevention mechanisms with attention to coverage, explainability, false positives, customer impact, and production stability. • Build research infrastructure, analysis workflows, and internal tools using Python. • Produce robust data features that can later be used by machine learning models, detection logic, rules, dashboards, and customer-facing insights. • Work with model training pipelines, evaluate model behavior, compare training and validation results, and help determine whether new features improve detection quality. • Collaborate closely with data science, engineering and product, teams to take ideas from research hypothesis through validation, implementation, monitoring, and production feedback. • Stay up to date with fraud trends, attacker tooling, automation frameworks, browser abuse techniques, mobile abuse techniques, malware behavior, phishing techniques, and underground ecosystem developments. • Communicate findings clearly to technical and non-technical stakeholders, including recommended actions, tradeoffs, expected impact, and model/detection quality considerations. What you’ll need: • At least 3 years of experience in security research, fraud research, detection engineering, threat research, mobile security research, browser security research, or a similar hands-on technical role. • Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or a related field or equivalent hands-on experience. • Strong hands-on experience with at least one of the following areas: • Desktop or mobile browsers, browser APIs, browser automation, browser fingerprinting, web signals, or client-side web security. • Native mobile applications for Android or iOS, mobile OS behavior, device signals, emulators, mobile automation, app instrumentation, or mobile security. • Strong understanding of web technologies, mobile technologies, APIs, application behavior, and modern attack techniques. • Strong Python skills and experience building research tools, automation, data analysis workflows, detection prototypes, or feature engineering pipelines. • Experience analyzing messy real-world data, investigating anomalies, validating hypotheses, and drawing practical conclusions from incomplete information. • Familiarity with machine learning training and validation concepts, such as train/test split, validation sets, overfitting, leakage, feature quality, precision/recall, false positives, false negatives, and model evaluation. • Ability to produce data features in a structured, reliable, and model-friendly way. • Ability to think like an attacker while designing reliable, scalable, and explainable defenses. • Strong problem-solving skills, independence, persistence, and a “getting things done” attitude. • Excellent communication and interpersonal skills. • Ability to work closely with engineering, product, and data science teams and translate research insights into practical product capabilities. Advantages: • Experience with both browser-based and mobile-native research. • Experience with fraud domains such as account takeover, new account fraud, identity theft, money mule activity, payment fraud, or first-party fraud. • Knowledge of bots, automation frameworks, credential stuffing, scraping, and anti-detection techniques. • Experience with browser internals, JavaScript runtime behavior, DOM APIs, WebView behavior, browser automation, headless browsers, or browser anti-detection techniques. • Experience with mobile app lifecycle, permissions, sensors, networking, storage, mobile identifiers, rooted/jailbroken devices, hooking, instrumentation, repackaging, or anti-tampering techniques. • Experience with browser fingerprinting, mobile fingerprinting, device intelligence, behavioral biometrics, or client-side telemetry. • Experience with malware analysis, phishing kits, remote access tools, proxy/VPN infrastructure, or underground fraud ecosystems. • Experience with detection quality measurement, false-positive analysis, rule tuning, model evaluation, feature evaluation, or production monitoring. • Experience using notebooks, pandas, SQL, data visualization tools, or other analysis environments for research and validation. • Experience working with data scientists, ML engineers, or ML training pipelines. #LI-TL1 #LI-Hybrid

We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention. We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc. About the Role: Be responsible to build and maintain state of the art Infrastructure to support Transmit Security vastly growing SaaS services. Build a resilient, scalable data-rich infrastructure that provides key functionality to tens of millions of users daily as well as our business stakeholders. As we see data to be core to our success, and inherent in every SaaS offering we provide, we are looking to reinforce our Infrastructure software engineering skills and grow our expertise in this field with emphasis on open-source tools and self development. What you’ll do: • Building a state-of-the-art resilient infrastructure that comprises of micro-services as well as reusable frontend and backend components. • Provide architectural solutions for complex code issues. • Accommodate diverse and evolving requirements from internal teams as well as customers through designing future-friendly APIs and software components. What you’ll need: • At least 5 years of hands-on experience with backend development in at least one of the following: TypeScript and NodeJS, Python, Java, Scala • At least 5 years of hands-on experience with frontend development in at least one of the following: React, Angular, Vue • Experience and good understanding of K8s, Helm, and other DevOps / delivery technology • Experience with AI-assisted development workflows -- Advantage • Experience with high-scale data-centric solutions -- Advantage • Experience with Apache Beam -- Advantage • Experience with Big Data solutions -- Advantage • Expertise in PostgreSQL -- Advantage • Experience in designing APIs and SDKs -- Advantage #LI-AM1 #LI-Hybrid #LI-TL1 #LI-Hybrid

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices. Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. For more information, please visit www.transmitsecurity.com. About the Role: Transmit Security is a top player in its game and is heading for an exciting year. We are looking for a Senior Mobile SDK Engineer with deep expertise in mobile platforms and OS internals to join our growing Mobile group. In this role, you will play a key part in building innovative, high-performance SDKs that will run on millions of devices worldwide. If you are passionate about low-level mobile engineering, security, and building robust developer tools, we want to hear from you! What you’ll do: • Develop efficient, resilient, and secure SDKs that integrate deeply with mobile operating systems and are deployed on millions of devices. • Research and explore mobile OS internals, including system services, security mechanisms, and data collection points across both Android and iOS. • Stay up-to-date with the latest platform changes, OS versions, and security enhancements. • Collaborate closely with security researchers and backend engineers to design and implement advanced security solutions. • Work in a team developing developer-centric products, enabling seamless integration into clients’ apps across industries such as banking, What you’ll need: • At least 6 years of hands-on experience in Android and iOS development. • Strong experience developing mobile SDKs, preferably used by third-party developers and large-scale organizations. • Profound understanding of mobile operating systems, including: • Application lifecycle management • Resource management and performance optimization. • A strong sense of ownership, independence, and problem-solving skills; you get things done. • Excellent communication and interpersonal skills. Advantages: • Experience developing security solutions for mobile platforms (RASP, root/jailbreak detection, anti-tampering, etc.). • Deep understanding of trusted hardware components (TEE, Secure Enclave, KeyStore). • Bachelor’s degree in Computer Science, Software Engineering, or equivalent field. • Experience with cross-platform mobile development, such as React Native, Flutter, or Kotlin Multiplatform. • Familiarity with performance profiling and debugging tools (e.g., Instruments, Perfetto, Systrace). #LI-TL1 #LI-Hybrid

Transmit Security is a leader in identity and fraud prevention, empowering organizations to stop fraud while delivering seamless user experiences recognized as a leader by the leading analyst firms – Gartner, Forrester and KuppingerCole – the only one across identity and fraud. Founded in 2014, Transmit Security offers a platform that protects billions of transactions for the world's leading banks, fintechs, retailers, and enterprises — detecting threats in real time without adding friction for legitimate users. About the Role: We are looking for a Senior Product Manager to join our Detection team and help drive our detection-based solutions. In this role, you will own a core part of the platform that detects and decides, in real time, whether an interaction can be trusted — telling humans from agents from fraudsters in real time, at a moment when that line is blurring fast. Fraud and risk now touch every interaction, and autonomous AI agents are dissolving the old assumptions about what "human," "trusted," and "normal" even mean. You'll fuse device, behavioral, network, and contextual signals into accurate risk real-time decisions across login, transactions, and the full user journey - and help invent the detection approaches this new landscape demands, not just tune the ones that worked yesterday. This is a balanced role at the intersection of deep detection technology and real customer outcomes. You'll translate identity fraud and risk problems into a clear roadmap, work shoulder-to-shoulder with researchers, data scientists and engineers on detection quality, and make sure what we ship moves the needle for customers. Staying ahead of this threat landscape — from classic fraud and bots to increasingly sophisticated automated and agent-driven attacks — is central to the job. You won't need to be a data scientist, but you should be genuinely curious about how detection works and comfortable reasoning about precision, recall, and false positives with the team. What you’ll do: • Own the roadmap for your area of the detection platform — from discovery and problem definition through delivery and adoption — and align it with company strategy and customer needs. • Partner closely with data science and engineering to improve detection quality: recommendation accuracy, coverage of new fraud and abuse patterns, model and rule performance, and reduction of false positives. • Define what "good" looks like and track the metrics that matter — detection rate, false-positive rate, customer impact, latency, and adoption — and use them to drive decisions. • Engage regularly with customers, TAMs, and analysts to understand real fraud problems and the operational reality of running detection at scale. • Anticipate emerging threats, including automated and AI-driven abuse, and shape how the platform detects and responds to them. • Write clear, lean specs and PRDs, and make sharp scoping calls that get value to customers quickly without over-building. • Work with design and documentation to deliver a coherent, well-explained experience across the admin console and APIs. • Support go-to-market with enablement, positioning input, and helping the field and customers adopt what we build. • Manage stakeholders and dependencies across product, engineering, data science, and other teams. What you’ll need: • 4–6 years of product management experience, ideally on technical, data-heavy, or platform/API products. • Background in fraud prevention, risk, cybersecurity, identity, or anti-abuse — you understand how adversaries operate and why detection has to keep evolving as automation and AI-driven agents reshape the threat landscape. • Comfort with technical depth — you can hold your own in conversations about data, models, risk signals, and precision/recall trade-offs, and translate them into product decisions. • Strong customer instinct — you move effectively between the engineering room and a customer call, and you use customer signal to prioritize. • A track record of shipping — turning ambiguous problems into scoped, delivered outcomes with measurable impact. • Excellent written and verbal communication in English; you write crisp specs and clear narratives. • Strong prioritization and judgment — you make lean, MVP-minded decisions and challenge scope rather than gold-plating. • Collaborative, low-ego, and comfortable operating with autonomy in a fast-moving environment. Nice to Have: • Background in fraud prevention, risk, cybersecurity, identity, or anti-abuse. • Familiarity with machine learning workflows, feature engineering, or analytics/data work. • Experience with B2B / enterprise SaaS products delivered via APIs and SDKs. • Exposure to emerging threats from automation, bots, and AI-driven agents. #LI-AM1 #LI-Hybrid #LI-TL1 #LI-Hybrid