Senior Security Engineer (Detection & Response)

Join Cloudflare as a Detection & Mitigation Engineer, where you will play a pivotal role in enhancing our cybersecurity measures. Your expertise will help us identify and neutralize threats before they impact our clients. In this hybrid position, you will collaborate with a talented team to develop innovative solutions that safeguard our network infrastructure.

Join Lila Sciences as a Staff or Principal Engineer specializing in Technical Mitigations Research. This role offers an exciting opportunity to leverage your engineering expertise to develop innovative solutions in the field of technical mitigations.

Role overview Benchling is looking for a Detection and Response Engineer in San Francisco, CA. This role focuses on protecting company systems and applications from security threats. The engineer will use experience in incident response and threat detection to help maintain strong security and system integrity.

About Our TeamAt OpenAI, our commitment to security is integral to our mission of ensuring that artificial general intelligence serves the betterment of humanity.Our dedicated Security team safeguards OpenAI's innovative technology, workforce, and products. We emphasize a technical yet operational approach, supporting all research and products across the organization. Our core principles include prioritizing impactful security measures, empowering researchers, preparing for future technologies, and cultivating a robust security culture.About This OpportunityAs a Security Engineer specializing in Detection and Response, you'll collaborate with our talented engineers and researchers to build, manage, and secure groundbreaking AI technologies. Your role will encompass all facets of Detection & Response, contributing as a versatile generalist within the Security team. Key responsibilities include:Lead initiatives across various security domains including Application Security, Infrastructure Security, Offensive Security, and Detection and Response.Innovate solutions to address emerging security challenges.Collaborate on pioneering AI research and leverage AI to enhance OpenAI’s security posture.This position may be based in San Francisco, CA, Seattle, WA, or New York City, NY. We adopt a hybrid work model, requiring three days in the office per week, and provide relocation assistance for new hires.Your Contributions Will Include:Innovating and enhancing Detection and Response infrastructure.Developing tools for the management of detection rule lifecycles.Creating, measuring, and refining detection rules for effective and sustainable operations.Automating manual response workflows.Ensuring visibility and management of OpenAI’s endpoint fleet (macOS, Windows).Driving advancements in identity access management (IAM), device management, and our utilization of public cloud services (e.g., AWS, Microsoft Azure).You Will Excel in This Role If You Have:Experience in cybersecurity or a related field.Familiarity with Microsoft Azure and/or other cloud infrastructure platforms.Strong problem-solving skills and a passion for security innovation.

Mercor is looking for a Software Engineer specializing in fraud detection. This full-time position is based in either San Francisco or New York City. The focus is on building and refining systems that protect both the company and its clients from fraudulent activity. Key responsibilities Design and develop tools to identify and reduce fraud across mercor’s platforms. Implement solutions that detect suspicious patterns and prevent threats before they escalate. Collaborate with colleagues from various disciplines to strengthen fraud detection strategies. Collaboration and technology This role requires regular interaction with engineering, product, and other internal teams. The work involves using modern technology to keep mercor’s systems secure and resilient.

Join Klaviyo as a Senior Security Engineer specializing in Detection and Response. In this critical role, you will be at the forefront of safeguarding our systems and data, ensuring our clients' security. Collaborate with talented professionals in a dynamic environment where your expertise will directly impact our security posture.

About the RoleOpenAI is seeking a dynamic Engineering Manager to spearhead a team dedicated to creating innovative software systems that proactively detect and mitigate the misuse of cutting-edge AI models. In this pivotal role, you will be at the forefront of building production services, detection pipelines, and preventive mechanisms that safeguard the integrity of our frontier models while minimizing the risk of high-severity misuse.This position is primarily focused on system development; therefore, we are looking for a candidate with a robust software engineering background who is adept at constructing reliable systems capable of scaling to billions of users.Your Responsibilities:Lead a team of skilled software engineers in designing and developing detection and mitigation systems aimed at preventing frontier model misuse, particularly focusing on model intellectual property protection and distillation detection.Establish the technical roadmap and execution strategy: prioritize tasks, design solutions, implement them, iterate based on feedback, and measure impact.Develop scalable production systems: services, pipelines, tooling, instrumentation, and automation that align with the usage of frontier models.Collaborate closely with Research and Product teams to translate evolving model capabilities into actionable tests, signals, and mitigations deployable at scale.Champion strong engineering principles: architecture design, system reliability, performance monitoring, and operational excellence.Recruit and nurture an exceptional team across backend systems, data engineering, and applied machine learning domains.Anticipate potential failures at scale as agentic workflows become increasingly sophisticated.Ideal Candidate Profile:Experience in building systems within adversarial and rapidly changing environments.Comfortable navigating ambiguity and novel situations.Familiarity with security-related domains (e.g., abuse prevention, fraud detection, platform defense, authentication/identity, and managing adversarial environments).Ability to communicate effectively and build trust with senior stakeholders—demonstrating a pragmatic, collaborative approach while remaining composed under scrutiny.Proven track record of leading engineering teams and delivering production systems from inception to deployment.Strong technical acumen in system design, distributed architectures, data pipelines, and operational observability.

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 Our TeamAt OpenAI, we believe that the development of artificial general intelligence must be conducted in a way that is safe and beneficial for all of humanity. Security is paramount to our mission and underpins every aspect of our work.Our Security team is dedicated to safeguarding OpenAI’s technology, personnel, and products. We adopt a highly technical approach to our creations while maintaining operational excellence in execution. Our core tenets include prioritizing impactful initiatives, empowering our researchers, anticipating future technological advancements, and fostering a robust security culture.About the PositionAs a Security Engineer specializing in insider threat detection and response, you will collaborate with our talented engineers and researchers to build and secure groundbreaking AI technologies. This role emphasizes the identification and mitigation of insider threats, ensuring the protection of OpenAI's most sensitive assets. Key responsibilities will include:Key Responsibilities:Innovate and enhance our detection and response infrastructure to automate comprehensive workflows for detection and investigation.Develop, assess, and refine detection rules to guarantee effective and sustainable operations.Lead projects across OpenAI’s technology landscape focusing on insider threats, including access abuse and intellectual property theft, as well as emerging risks associated with AI infrastructure.Collaborate with cross-functional teams such as HR, Legal, and investigative units, providing technical insights and evidence to support thorough investigations.Engage in pioneering AI research initiatives, leveraging AI to bolster OpenAI’s security framework.Ideal Candidate Profile:A minimum of 5 years of experience in a detection/response or insider risk role; we welcome both mid-level and senior applicants.Proficient in operating systems and platforms, including macOS, Windows, Linux, and Kubernetes, with hands-on experience in cloud infrastructure.Strong knowledge of modern adversarial tactics, data exfiltration methods, and experience in managing and leading incident responses.Demonstrated proficiency in scripting languages such as Python, Bash, or PowerShell.Possess excellent analytical and problem-solving skills, with a keen attention to detail.

Join SoFi as a Senior Data Scientist Manager specializing in Portfolio Management and Loss Mitigation. In this key role, you will lead a team of talented data scientists to develop innovative models and strategies that mitigate risk and optimize portfolio performance. You will collaborate with cross-functional teams to leverage data insights and drive decision-making processes that enhance our financial products and services.Your expertise will be crucial in shaping the data-driven culture at SoFi, ensuring we remain at the forefront of financial technology.

Role Overview Writer Inc. is hiring a Security Engineer focused on Detection and Response in San Francisco, CA. This position centers on building and maintaining security controls that safeguard the company’s digital assets. What You Will Do Develop and implement security measures to protect systems and data. Collaborate with teams across the company to strengthen security practices. Respond to security incidents and help improve incident response processes. Location This role is based in San Francisco, CA.

Join our dynamic Security Engineering team as a Senior Security Engineer specializing in Detection and Incident Response. In this pivotal role, you will blend the realms of security operations and software engineering, not only investigating incidents but also developing the systems that detect, contain, and prevent them. Your contributions will involve designing and deploying high-precision detection mechanisms across cloud services and enterprise SaaS platforms, crafting automation to expedite response times, and enhancing telemetry pipelines essential for robust security measures.Your expertise in coding will be as vital as your incident triaging skills. You will structure investigations, analyze root causes, and clearly communicate the implications of security incidents to both technical and non-technical stakeholders. Additionally, you'll leverage these insights to drive lasting engineering improvements, resulting in better detections and smarter automation.

At Discord, we empower over 200 million users each month to connect, communicate, and collaborate in their gaming experiences. With more than 90% of our users engaging in video games, our platform serves as a vital hub for gaming communities. Our mission is to enhance the social aspect of gaming by enabling seamless interactions among players before, during, and after gameplay.Discord is dedicated to fostering a sense of belonging for all users. Our commitment to security and privacy ensures that communications remain safe and confidential, which is essential to our continued success.We are on the lookout for a talented Senior Detection and Response Engineer to join our dynamic Detection & Response Team (DART). Our team is focused on engineering innovative detection systems, automating response processes, and developing tools to proactively combat threats rather than merely responding to them. If you are passionate about security and enjoy transforming investigative insights into robust automated solutions, we would love to hear from you!

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.

About Us:At Ambience Healthcare, we are not just another documentation service; we are pioneering an AI-driven platform that reintroduces humanity into healthcare, creating substantial returns on investment for health systems nationwide.Our innovative technology empowers healthcare providers to concentrate on exceptional patient care by alleviating the administrative burdens that detract from their crucial responsibilities. We provide real-time, coding-aware documentation and clinical workflow assistance across various healthcare settings, including ambulatory, emergency, and inpatient environments, collaborating with the leading health systems in North America.We are committed to delivering the best solutions for our partners, operating with a strong sense of ownership and a culture that values transparency, positivity, and thoughtful discussion. Our team holds each other to high standards because we understand the significance of the challenges we tackle.Recognized as a leader in enhancing clinician experiences by KLAS Research, featured by Fast Company as one of the Next Big Things in Tech, acknowledged by Inc. as one of the best AI companies in healthcare, and listed as a LinkedIn Top Startup for 2024 and 2025, Ambience is backed by prestigious investors including Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins. Our journey is just beginning.The Role:As a key member of our team, you will spearhead the detection engineering and incident response program within a HIPAA-compliant, AI-driven environment, where the threat landscape includes LLM-powered agents operating across diverse infrastructures. Your responsibilities will include writing production code, architecting security data pipelines, and establishing high standards for detection and response within a rapidly evolving attack surface.This position requires a hybrid work model based in our San Francisco office (3 days per week).What You’ll Own:Detection Engineering: Establish a detection pipeline covering our highest-risk surfaces, including AWS, Kubernetes, Okta, endpoints, and SaaS tools. Create environment-specific detections that ensure reliable alerting for the on-call team.Incident Response: Develop a comprehensive incident response program, including playbooks, escalation processes, evidence collection, and post-mortems. Ensure all procedures are well-documented, practiced, and meet regulatory requirements.

Role Overview Pinterest is hiring a Security Software Engineer II focused on Detection and Response. This role can be based in San Francisco, CA or remote within the US. What You Will Do Develop and refine detection strategies to identify security threats across the Pinterest platform. Implement and improve response protocols to address incidents efficiently. Work closely with teams from different disciplines to spot vulnerabilities and strengthen defenses. Support efforts to reduce incident response times and protect the safety of Pinterest’s user community. Location This position is open to candidates in San Francisco, CA or remote within the United States.

About AbridgeAbridge, established in 2018, is dedicated to enhancing understanding in healthcare. Our innovative AI platform is specifically designed for medical conversations, streamlining clinical documentation processes and allowing clinicians to prioritize patient care.Our advanced technology converts patient-clinician discussions into structured clinical notes in real-time, featuring robust EMR integrations. With our unique Linked Evidence and auditable AI, we stand out as the only company that aligns AI-generated summaries with verified ground truth, enabling healthcare providers to trust and validate our outputs swiftly. As leaders in generative AI for healthcare, we are setting benchmarks for the ethical application of AI within health systems.Our diverse team comprises practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers, all collaborating to empower individuals and enhance healthcare delivery. Our offices are located in San Francisco's Mission District, New York's SoHo neighborhood, and Pittsburgh's East Liberty.The RoleAre you ready to build robust security measures at the forefront of AI in healthcare? We are seeking a highly skilled and motivated Senior or Staff Threat Detection and Response Engineer to join our pioneering Abridge Security Operations team. As one of our initial engineers, you will play a crucial role in elevating the costs for any adversary targeting our organization or our clients.This role demands profound technical knowledge, a builder’s mindset, and exceptional communication abilities to foster a security-centric culture across the organization. This is a greenfield opportunity to shape the future of Threat Detection and Response at Abridge. You will excel here if you are passionate about creating solutions from scratch and recognize that modern security fundamentally revolves around large-scale data and automation challenges.What You’ll DoLead investigations into complex, organization-wide security incidents, establishing best practices across various security domains including log analysis, digital forensics, and malware analysis.Design and implement a strategic roadmap for threat detection capabilities, developing high-fidelity detection systems informed by a deep understanding of advanced threat actor tactics, techniques, and procedures (TTPs).Architect scalable incident response processes while driving automation throughout the entire incident response lifecycle, establishing effective patterns for the organization.Act as a key technical leader and influence security practices organization-wide.

About DepthFirst AIAt DepthFirst AI, we recognize that software underpins modern civilization, yet its vulnerabilities pose significant risks to integrity and security. Our mission is to enhance software security through innovative solutions.We are developing cutting-edge intelligence to identify and remediate critical software vulnerabilities, leveraging AI agents to discover zero-day vulnerabilities across extensive customer codebases and popular open-source software.Our founding team comprises industry leaders from DeepMind, Databricks, Square, and Faire, bringing unparalleled expertise in security and large language models (LLMs). We seek talented technical professionals eager to explore the intersection of AI, security, and infrastructure.Role Overview:We are looking for a skilled Research Engineer to contribute to the development and training of AI agents focused on vulnerability discovery and exploitation.Your work will be pivotal in creating technology capable of detecting vulnerabilities, akin to Log4J, at scale, ensuring the security of customer and open-source codebases.Ideal candidates will possess a strong engineering intuition, experience in model evaluation and benchmarks, with reinforcement learning experience being an added advantage. Your contributions will be instrumental in shaping a product that aims to revolutionize security practices for companies.Why You Will Love This Role:Develop Cutting-Edge AI pipelines tailored for the detection and exploitation of complex software vulnerabilities.Design and Maintain evaluation benchmarks that genuinely reflect the challenges faced by our users.Craft effective training methodologies and reinforcement learning environments for security coding agents.Be Part of a Solution to critical security challenges, with feedback from our valued customers revealing the immediate impact of our product.

As an Incident Manager in the Detection & Response team, you will play a pivotal role in safeguarding our systems and data. You will be responsible for leading incident response efforts, coordinating with various teams to ensure rapid resolution of incidents, and enhancing our incident management processes. This position requires a keen understanding of security vulnerabilities and incident management best practices.