Detention Admin Security Officer Jobs

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. The opportunity: We are seeking a Senior Product Manager to lead our Anti-Money Laundering (AML) detection product within Identity & Risk Intelligence. Financial crime keeps getting more complex, and as Adyen expands into new products and markets, our detection needs to scale with it - without becoming a bottleneck for growth. This role needs a Product Manager who can take a clear strategy and drive it to execution, make strong trade-offs, and build trust with Compliance and other senior stakeholders. You need a track record of building ML-driven products in a regulated environment. You'll lead a team of Data Scientists, Data Analysts and Backend Engineers, and work closely with Compliance, Operations and other product teams. What you'll do: Risk Detection & ML Modeling: Lead the build and scaling of Machine Learning models, rules and risk signals that detect financial crimes across Adyen's products, markets and customer base. Scalable, Self-Service Detection: Move financial crime detection toward a self-service framework that picks up new typologies quickly, using ML, GenAI and agentic approaches to reduce manual effort and keep pace with Adyen's growth without adding headcount. Strategy Execution & Prioritization: Own the execution of the financial crime detection strategy. Prioritize ruthlessly, make data-driven

POSITION SUMMARY: Join Natera as the Director of Development for our Early Cancer Detection (ECD) In Vitro Diagnostic (IVD) products. You will take ownership of the development, verification, and validation of our early cancer detection (ECD) Next Generation Sequencing products from feasibility exit through regulatory submission and post-market support. Every test represents a real person, and you will lead a team of scientists and managers to execute the performance data packages supporting PMA submissions. You will serve as the technical subject matter expert in FDA interactions, partnering across functions to deliver design-controlled diagnostic products that directly impact patient care. PRIMARY RESPONSIBILITIES: Own the execution of the technical strategy and phase-gated process of of development, design verification, and validation studies for ECD IVD devices utilizing cfDNA, methylation and other potential analytes Ensure rigorous compliance with applicable FDA Class III (PMA) design and development requirements Take ownership of the analytical performance strategy (limit of blank/detection, precision, linearity, interference, stability) for ECD assays, partnering directly with Regulatory Affairs (RA), biostatistics, bioinformatics and research teams Contribute to the robust transfer of assays to the commercial laboratory and manufacturing in support of the design transfer and operations teams Partner with clinical and biostatistics leaders on statistical analysis plans required for approvable device performance claims in clinical intended-use populations Think team by partnering directly across bioinformatics, biostatistics, software engineering, clinical, regulatory, and commercial functions to align development efforts with business goals, and drive resourcing and go/no-go recommendations at phase gates Deliver the analytical performance data package supporting Class III PMA submissions, developing a comprehensive approval strategy with RA Serve as t

POSITION SUMMARY: Join Natera as the Senior Director of Development for our Early Cancer Detection (ECD) and Multi-Cancer Early Detection (MCED) portfolio. You will take ownership of product development strategy and execution, guiding Next-Generation Sequencing (NGS) and cell-free DNA-based (cfDNA) In Vitro Diagnostic (IVD) products from feasibility through FDA Premarket Approval (PMA) and post-market support. Every test represents a real person, and you will build an organization of scientific contributors and managers to deliver robust clinical tools. You will establish priorities, allocate resources, and represent development with the FDA and executive leadership, ensuring that scientific rigor and data drive all regulatory and portfolio decisions. PRIMARY RESPONSIBILITIES: Define and own the multi-year assay development strategy and technical lifecycle for the ECD and MCED portfolio, in alignment with corporate and R&D strategy Take accountability for the phase-gated execution of all ECD and MCED programs, overseeing the development, design verification, and validation of NGS-based cancer detection IVD devices using cfDNA, methylation and other analyte classes. Set team priorities, allocate people, budget, and laboratory resources, and make or recommend go/no-go decisions to executive leadership Establish the analytical verification and validation strategy for the portfolio to ensure robust assays transfer seamlessly to commercial manufacturing Partner with clinical, medical, and biostatistics leaders to support approvable pivotal and prospective study design, statistical analysis plans, and performance claims for screening-population use in both the ECD and MCED intended-use claims Define regulatory pathways and evidence requirements for PMA submissions for ECD and MCED in an evolving regulatory landscape. Be facile in representing the Development approach and activities in senior-level engagement with the FDA (e.g., pre-submission meetings and advisory pan

Who we are About the team The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns 10+ real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users. The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. Radar is growing fast, and the team is actively building new products like defenses against AI token theft, free trial abuse, and programmatic attacks. What you'll do In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will have opportunities to optimize Stripe’s most intensive ML models, and opportunities to ship 0-to-1 products from scratch. Responsibilities Design, build, train, evaluate, deploy, and own ML models in production that detect fraud across Stripe’s global payments network Design and build large-scale ML systems that operate on diverse and large scale data Experiment and iterate on ML models to achieve key business goals around data quality and accuracy Develop pipelines and automated processes to train and evaluate models in offline and online environments Integrate ML models into production systems and ensure their scalability and reliability Collaborate with product, data science, and engineering partners across Stripe to identify opportunities where ML can improve outcomes for merchants and consumers Engage with the latest ML/AI developments and take calculated risks in transforming innovative ideas into productionized solutions Mentor engineers and contribute to a strong ML engineering culture within the team Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are enco

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role At the forefront of innovation, the Computer Vision team develops the artificial intelligence and machine learning models that power Verkada's advanced analytics. Their responsibilities include creating and refining algorithms for features such as people and vehicle detection, license plate recognition, and other intelligent video analysis tools. Recent projects for this role include: Implementing and deploying a binary classifier using TensorFlow for detecting the binary states across millions of cameras Detecting unusual object addition/removal in a scene Detecting and counting object and people frequencies Training text image embedding models and vision language models Training license plate recognition models and implementing LPR on the edge Training facial recognition models and implementing real-time facial recognition What Yo

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Software Engineer, Trust & Safety, to design, build, and operate the large-scale, real-time distributed systems that stop abuse and fraud on the platform, including fraud committed through AI agents, fraud that abuses deployments and compute resources, and payment fraud on token-based usage. You will write the services, detection systems, and large language model (LLM) tooling that disrupt abuse at internet scale. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do: Design and build production services that detect and disrupt fraud committed through AI agents, fraud that abuses deployments and compute resources, and payment fraud on token-based usage Build detection systems that find abuse patterns across large datasets Ship LLM-driven systems for abuse detection, classification, and prevention, and build the datasets and evaluation pipelines that measure them Build and maintain internal tools for trust and safety workflows Analyze threat actor behavior to inform detection logic, and work with security, product, and infrastructure teams to move prototypes into stable production What you need: 5+ years of software engineering experience building large-scale, real-time distributed systems Wrote and shipped production code in JavaScript/TypeScript and Python, owning systems end to end from prototype through deployment and iteration Hands-on LLM experience, including prompt engineering, evaluation, and fine-tuning Operated production services on AW

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role At the forefront of innovation, the Computer Vision team develops the artificial intelligence and machine learning models that power Verkada's advanced analytics. Their responsibilities include creating and refining algorithms for features such as people and vehicle detection, license plate recognition, and other intelligent video analysis tools. Recent projects for this role include: Implementing and deploying a binary classifier using TensorFlow for detecting the binary states across millions of cameras Detecting unusual object addition/removal in a scene Detecting and counting object and people frequencies Training text image embedding models and vision language models Training license plate recognition models and implementing LPR on the edge Training facial recognition models and implementing real-time facial recognition What Yo

ROLE SUMMARY Our Global Cyber Defense team is responsible for safeguarding Pfizer’s digital assets and infrastructure through proactive threat detection, response, and risk mitigation across on-premises, cloud, and hybrid environments. The Manager, Email Security Engineering is responsible for leading and advancing enterprise-wide protections across email, collaboration, and messaging platforms—critical threat surfaces within the Cyber Defense organization. Email remains a primary vector for phishing, business email compromise, malware delivery, and account takeover in the pharmaceutical industry. This role will lead the design, implementation, and continuous improvement of email security capabilities across our global enterprise. The role is critical to protecting research, clinical, manufacturing, and corporate environments by delivering resilient, scalable, and compliant controls that prevent, detect, and respond to email-borne threats. ROLE RESPONSIBILITIES Lead Email Security Engineering initiatives across enterprise email, collaboration, and messaging platforms, including secure email gateways, cloud email security, anti-phishing, anti-malware, and domain protection capabilities. Define and execute the email security strategy and roadmap in alignment with the evolving threat landscape, business priorities, and regulatory requirements. Own the engineering and lifecycle management of email security technologies, including deployment, configuration, policy tuning, automation, integration, performance, and continuous optimization. Strengthen defenses against phishing, business email compromise, malicious attachments and links, spoofing, impersonation, and account takeover through layered preventive and detectiv

Threat Hunter / Purple Team Operator SIXGEN's mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and leading technical capabilities to uncover vulnerabilities, protect vital systems, and strengthen operational resilience. POSITION OVERVIEW Position: Mid-Level Threat Hunter / Purple Team Operator Job Type: Full Time Location: Remote with travel to customers and test locations as required Clearance Requirement: Active Top Secret with SCI eligibility Salary Range ; $115-$140K WHAT YOU'LL DO SIXGEN is seeking a mid-level Threat Hunter / Purple Team Operator to identify threats that evade existing detection methods, develop and test hunting hypotheses, and feed findings back into detection engineering. This role will combine remote threat hunting and on-site purple team coordination in direct support of red team engagements to secure systems, strengthen the defenders, and build and validate detection methods that can catch offensive traffic in real time. This role requires comfort working independently through remote hunts as well as the ability to translate adversary tradecraft into defensive guidance. Responsibilities include: Conduct hypothesis-driven and intelligence-led threat hunts across endpoints, networks, and cloud telemetry for several weeks prior to each red team engagement. Analyze logs, alerts, and historical data for indicators of compromise (IOCs), anomalous behavior, and adversary TTPs mapped to the MITRE ATT&CK from partner-provided sources (EDR, SIEM, authentication/identify logs). Document hunt coverage and methodology, findings, detection recommendations, and any confirmed or suspected compromise, escalating immediately if active adversary activity is found. Deliver a threat hunt summary and determine if the customer environment is clear prior to red team assessments. Partner with

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview Harvey’s products sit at the intersection of frontier AI, sensitive customer data, and critical business workflows. Our customers trust us to protect their information in an always-accelerating threat ecosystem, and security is how we foremost earn and keep our customers’ trust. We’re hiring an experienced Incident Response Handler to drive and ultimately lead incident response for security events. You will command incidents, coordinate containment, and enforce that real fixes are implemented, preventing recurrence. You’ll join a small, highly technical security team early in standing up a dedicated Detection & Response function, with real latitude to define how Harvey does incident response for years to come. Like the rest of Harvey’s security team, our program is

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview Harvey’s products sit at the intersection of frontier AI, sensitive customer data, and critical business workflows. Our customers trust us to protect their information in an always-accelerating threat ecosystem, and security is how we foremost earn and keep our customers’ trust. We’re hiring an experienced Incident Response Handler to drive and ultimately lead incident response for security events. You will command incidents, coordinate containment, and enforce that real fixes are implemented, preventing recurrence. You’ll join a small, highly technical security team early in standing up a dedicated Detection & Response function, with real latitude to define how Harvey does incident response for years to come. Like the rest of Harvey’s security team, our program is

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: As a Senior Security Engineer on the Security Operations team, you will help Ripple detect, investigate, and respond to security threats across our environment. You'll work across detection and data engineering, incident response, and security automation — building the tooling and detection logic that lets the team scale. You'll operate independently on sophisticated investigations and detection initiatives, and you'll be a technical reference point for less senior engineers on the team. WHAT YOU’LL DO: Design, build, and tune detections across our security stack (Google Security Operations) to improve our ability to identify and mitigate threats. Lead incident response for sophisticated and high-severity investigations, from initial triage through root cause and remediation. Build and maintain security automation workflows (e.g., in Tines) that reduce manual toil in detection, triage, and response. Own and improve SIEM/data pipeline health, including log source coverage, parsing/normalization, and alert quality. Develop cross-functional relationships (IT, engineering, other Ripple teams) to influence security initiatives and drive adoption of security tooling. Maintain awareness of the evolving threat landscape and translate that awareness into concrete improvements to our detection coverage and response playbooks. Use AI tools as more than a chatbot

About the team The Incident Ops team is a global 24/7 team responsible for driving incident response and management from detection to resolution. Stripe is proud of its five 9s reliability and this team is at the forefront of ensuring we keep it that way - working hand-in-hand with Reliability Eng and across the Tech Org. This team of incident response managers (IRM) is defined by our sense of ownership and how we drive incidents to resolution - marshaling the necessary cross-functional resources to respond to and resolve service outages, critical bugs, security attacks and anything that significantly impacts the users of our products. The team is user-first and ensures appropriate external communications from Stripe and senior management to keep our users informed of disruption to their experience of Stripe. The team is skilled in communications, incident handling and technical adeptness as incidents can arise from anywhere and cut across products and orgs in Stripe. What you’ll do As an Incident Response Manager (IRM), you’ll play the key role in driving the right level of response from Stripes to incidents, determining impact, rallying Stripes to mitigate, communicating to users and ensuring appropriate remediations and orchestrate the Root Cause Analysis (RCA) process. You’ll work hand-in-hand with IRMs and engineers globally to ensure solid 24/7 coverage on how we monitor, detect, respond, communicate and mitigate incidents. When not managing incidents, you'll help scale our ability to respond to incidents, improve our operations, analyze data to provide insights and deepen our technical expertise in products. As a result, you’ll be seen as the protector of our users - in minimizing the impact of incidents on their business and ensuring that Stripe is always thinking of our users. Responsibilities Act as an on-call Incident Commander, responsible for driving and managing incident resolution with a high level of urgency, cross-functional collaboration, and accur

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Data Scientist on the CX Consumer Analytics team, you will serve as the foundational link between CX operations and top-line financial impact, owning the revenue calibration models, experimentation frameworks, and behavioral intelligence that connect every customer support interaction to Coinbase's asset accumulation flywheel. You will partner closely with CX Analytics Engineers, Program Managers, and Product teams to translate complex operational and behavioral data into defensible, executive-ready insights that drive measurable improvements in retention, product adoption, and automation quality. What you'll do: Own and evolve CX's Downstream Impact of Support (DSI) revenue calibration models, translating support interaction data into quantified revenue signals. Design and execute causal inference frameworks and experiments to measure the incremental impact of CX programs (Concierge, Proactive Outreach, automation interventions) on customer retention and product engagement. Build and maintain LLM-powered classification pipelines for CX contact taxonomy, customer friction detection, and issue attribution, partnering with Analytics Engineers to productionize models into CX's governed Source of Truth infrastructure. Partner with CX Program Managers and Product teams to define segmentation models and behavioral signals that enable personalized experiences an

About the Team The Integrity team is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. We protect users and the wider world by developing responses to complex harms and building the harm protections needed for new product and model launches. Integrity’s work spans not only across frontier harms like biological weapons and cybersecurity, but also high severity abuses such as child safety, nation-state misuse, and violence. About the Role Protection Scientists within Integrity design, orchestrate, and mature systems of defence against usage harms enabled by OpenAI's products. We are systems thinkers that combine deep harm domain expertise with breadth across investigation, data science, machine learning, policy and operations. Our distinctive strength is understanding how these disciplines fit together and translating between them to design and build effective systems of defence. Your core hands-on technical responsibility is harm detection. You will design, build, evaluate and maintain production detection systems, drawing on investigative expertise, data and shared engineering platforms. You will develop signals, classifiers and detection systems, and improve their ability to identify harmful activity accurately as products and behaviour evolve. You will also own the strategy and cross-functional delivery of protection work for a harm area or product launch. Working closely with investigators and other domain experts, you will ground the design in a deep understanding of how the harm occurs and translate that understanding into a system of defence. You will connect detection with policy, review, interventions, enforcement and measurement, continually calibrating the system against real cases and expert judgement as it scales. You will identify what needs to be built or changed and make it happen. Success requires setting clear priorities, aligning partners, resolving dependencies and communicating evidenc