Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Abuse Research Group (ARG) handles proactive threat hunting and adversary behavior analysis across Stripe products. Rather than reacting to alerts, the team maps end-to-end fraud and abuse paths, validates novel attack vectors, and identifies product conditions that enable fraud. Using agentic automated testing and simulation tools, ARG translates research into actionable threat advisories, strategic control recommendations, and regression scenarios to systematically eliminate vulnerabilities. What you’ll do As an Abuse Research Engineer in the Abuse Research Group, you will play a critical role in safeguarding Stripe’s financial ecosystem by proactively hunting for advanced threats, dissecting complex fraud vectors, and extracting actionable adversary intelligence. Rather than relying solely on reactive alerts, you will develop and execute hypothesis-driven threat hunting operations across internal telemetry and external sources to uncover fraudulent tools, tactics, and techniques (TTPs) before they impact Stripe’s platform. Central to this work is FT3 (Fraud Taxonomy 3.0), Stripe’s multi-layered taxonomy that decomposes monolithic fraud into structured kill chains. Collaborating cross-functionally with Fraud Ops, Strategy, Risk, Onboarding, and Security, you will integrate threat intelligence, build agentic simulation workflows, and systematically eliminate product vulnerabilities. Responsibilities Proactive Threat Hunting &
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About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role Supabase serves millions of developers on a shared, multi-tenant platform. At that scale, abuse is not an edge case — it is a continuous operational reality. Credential stuffing, free-tier compute abuse, API scraping, malicious project provisioning, and exfiltration attempts occur every day. We need someone who treats detection and response as a craft, and who can close the loop between signal, triage, and automated remediation. You will work directly with our Anti-Abuse Lead and embed with Platform Security and Product Security to build and operate the systems that protect Supabase and its customers from abuse at scale. This role sits inside the security org but operates at the intersection of security engineering, data analysis, and platform operations. This role provides follow-the-sun coverage alongside our existing Anti-Abuse and Platform Security team members. It is fully remote, with a strong preference for candidates based in APAC or the West Coast of the Americas . What You’ll Own Abuse Detection & Signal Triage Monitor Signals: Monitor inbound abuse signals across platform telemetry, HackerOne reports, support queues, and internal alerting pipelines. Triage End-to-End: Triage abuse cases end-to-end, assessing severity and blast radius, classifying actor types, and routing to the correct response track. Queue Ownership: Own the abuse case queue with clear SLAs to ensure no active threats age out without a definitive decision. Pattern Recognition: Identify complex patterns across distinct cases that point toward coordinated campaigns or emerging attack techniques. Incident Response & Remediation Lead Incidents: Lead response efforts for active abuse incidents, coo
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Principal Software Engineer for our Anti-Abuse team. The Anti-Abuse team sits at the core of protecting Snowflake and our customers from abuse on the Snowflake Platform. We strive to see the complete picture, leading platform-wide abuse and fraud detection while designing and deploying proactive controls for Snowflake's highest-risk capabilities: Snowpark, Data Sharing, Cortex AI, and the next generation of cloud engineering challenges as Snowflake rapidly scales. In this role, you will be the lead technical architect responsible for defining and driving our technical strategy for abuse prevention, detection, and response across the entire Snowflake ecosystem. AS A PRINCIPAL SOFTWARE ENGINEER, ANTI-ABUSE AT SNOWFLAKE, YOU WILL: Define and drive the long-term technical vision for abuse and fraud detection across the Snowflake platform, serving as the chief architect for platform-wide anti-abuse strategy Partner directly with product and engineering teams building Snowflake's newest and highest-risk surfaces (Snowpark user code execution runtimes, Data Sharing and Marketplace, AI/LLM services) to design and deploy robust anti-abuse controls from day one Architect and scale high-throughput, low-latency telemetry pipelines and risk-scoring engines capable of ana
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default pat
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Abuse Control Engineering (ACE) is Stripe’s rapid-response technical defense and control incubator. When urgent abuse vectors emerge, ACE uses real-world attacker telemetry to prototype, test, and deploy software safeguards before vulnerabilities can be exploited at scale. We partner closely with Fraud, Risk, Abuse Research, and Product Engineering to run rigorous experiments that balance effective risk mitigation with legitimate user activity and conversion. Operating as both a strike team and an incubator, ACE builds automated regression suites to prevent threats from recurring and transfers mature controls to long-term product owners across Stripe. What you’ll do As an Abuse Control Engineer on the ACE team, you will design, prototype, and incubate technical defenses that safeguard Stripe’s financial ecosystem against complex, cross-cutting abuse vectors. When emerging threat patterns reveal weaknesses in Stripe products, ACE rapidly builds and experiments with technical safeguards. Guided by empirical evidence and Stripe’s Fraud Taxonomy 3.0 (FT3) framework, you will translate threat intelligence into precise technical control requirements, such as API rate limits, step-up challenges, parameter validation, and pre-debit holds. You will run experiments to evaluate risk reduction against the impact on legitimate user conversion, carefully balancing security and product velocity. You will manage controls through a structured incubation life
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Abuse Control Engineering (ACE) is Stripe’s rapid-response technical defense and control incubator. When urgent abuse vectors emerge, ACE uses real-world attacker telemetry to prototype, test, and deploy software safeguards before vulnerabilities can be exploited at scale. We partner closely with Fraud, Risk, Abuse Research, and Product Engineering to run rigorous experiments that balance effective risk mitigation with legitimate user activity and conversion. Operating as both a strike team and an incubator, ACE builds automated regression suites to prevent threats from recurring and transfers mature controls to long-term product owners across Stripe. What you’ll do As an Abuse Control Engineer on the ACE team, you will design, prototype, and incubate technical defenses that safeguard Stripe’s financial ecosystem against complex, cross-cutting abuse vectors. When emerging threat patterns reveal weaknesses in Stripe products, ACE rapidly builds and experiments with technical safeguards. Guided by empirical evidence and Stripe’s Fraud Taxonomy 3.0 (FT3) framework, you will translate threat intelligence into precise technical control requirements, such as API rate limits, step-up challenges, parameter validation, and pre-debit holds. You will run experiments to evaluate risk reduction against the impact on legitimate user conversion, carefully balancing security and product velocity. You will manage controls through a structured incubation life
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We're hiring a hands-on Engineering Manager to build and lead Replit's Anti-Abuse team from the ground up. This is a foundational 0-to-1 role: you'll define the anti-abuse roadmap, hire a small team of engineers and data analysts, and ship the systems that protect Replit's platform, users, and economics from adversarial actors. You'll partner across Support, Legal, Security, Infrastructure, and the Money and Growth teams to make abuse economically unviable while keeping friction low for legitimate users. Replit sits at the frontier of AI-native abuse. Our platform is a target for phishing and scam hosting, cryptomining, LLM token farming, card and coupon fraud, and increasingly, abuse driven by AI agents themselves. The team you build will define how Replit defends against all of it. What You'll Do Build the anti-abuse roadmap from scratch : Define the threat model, prioritize across abuse vectors (phishing/scam hosting, cryptomining, token farming, payment fraud, AI agent exploitation), and translate it into a shipping plan with clear sequencing and tradeoffs. Design progressive verification and identity infrastructure : Build the "ladder of trust" that gates increasing platform capabilities (referrals, additional credits, access to powerful agent features, Missions) behind escalating verification. This includes a humanity/identity layer that's distinct from user accounts, integrations with KYC-grade verification providers, and the policy engine that decides what level of trust unlocks what behavior. This infrastructure is core not just to promo integrity but to how Replit safely expands agent capabilities over time. Ship as a hands-on EM : Stay in the code. Use the latest AI coding tools (including Rep
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. Ability to write safety evals and communicate externally about saf
Job Title: Clinical Psychologist / Forensic Psychologist / Counselling Psychologist – Child Sexual Exploitation and NAT (Neglect, Abuse, Trauma) Banding: Band 8a equivalent Location: West Midlands or South Midlands (Hybrid – home and office-based, travel required across the region) Working Hours: Full-time, Monday to Friday (occasional weekend work may be required) Salary: £50,000 – £55,000 per annum (dependent on qualifications and experience) This is an exciting opportunity to join a developing therapeutic service supporting young people affected by Child Sexual Exploitation (CSE) and Neglect, Abuse, Trauma (NAT). The role focuses on improving psychological wellbeing and supporting the process of reunification with families. You’ll be delivering services across the West Midlands, working closely with local authorities and care teams to provide structured, impactful therapy and consultation. Responsibilities: As a key member of the Clinical Service, you will: Deliver specialist psychological assessments and structured interventions to young people and families. Facilitate weekly individual and group therapy sessions over 9–18 months. Provide consultation and support to staff working with young people. Act as a keyworker, managing care plans and coordinating multi-agency meetings. Contribute to service development and culturally competent care delivery. Supervise junior staff and contribute to training initiatives. Your work will directly shape the lives of vulnerable young people and support their journey toward healing and stability. Benefits: Structured clinical supervision and monthly management support Access to specialist training tailored to your role Hybrid working model with flexibility Opportunity to contribute to a new and innovative service Collaborative and supportive multidisciplinary team Mileage and travel expenses covered Career development within a growing organisation Qualifications and Experience: We welcome applicants from a
About the team Radar helps businesses prevent fraud and abuse without getting in the way of legitimate customers. We combine machine learning powered by Stripe’s global network with intuitive dashboard experiences and developer APIs, to give our users comprehensive controls and insights to protect their business against threats ranging from payment fraud and card testing to bot and free trial abuse. Fraud doesn’t stand still, and it isn’t limited to checkout. As businesses launch new products and business models, attackers find new ways to exploit them. We obsess about understanding those attacks, identifying defenses that work, and making sophisticated fraud prevention simple for the businesses that depend on us to help them protect and grow their revenue with confidence. What you’ll do As a product manager on the Radar team, you’ll help customers, developers, and partners bring fraud prevention naturally into the systems and workflows they rely on. You’ll shape products that make fraud management feel effortless, connecting Radar’s capabilities to the tools and experiences our users build and run. You’ll work at the intersection of customer needs and commercial opportunities to shape what we build and how we bring it to market. Working closely with engineering, data science, design, and go-to-market teams, you’ll build products and relationships that deliver lasting value to customers and partners. You’ll connect technical decisions to commercial outcomes while maintaining a high bar for reliability, craft, and the details that make complex products feel simple. Responsibilities Develop a deep understanding of the payments and fraud landscape, how businesses manage risk, and the systems and workflows they rely on. Work directly with customers, developers, and partners to uncover unmet needs, understand integration challenges, and identify opportunities to build broadly useful products. Develop and communicate a clear product strategy and roadmap, prioritizin
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We serve our community of users and customers by working tirelessly to preserve free expression and choice, create limitless interactivity, and maintain a safe digital marketplace. The Safety Integrity Program Manager, Harmful Activity will drive priorities, measures, and system health for harmful activity, owning program standards and execution across upstream systems and downstream operations. You are an experienced program manager with a strong background in content integrity, abuse, or risk programs at scale. You are skilled at setting requirements for detection and automation, translating policy and legal constraints into practical workflows and controls, and driving cross-functional partners to improve coverage, precision, and enforcement quality. You thrive in fast-paced environments and excel at turning operational signals into lasting improvements. RESPONSIBILITIES: Drive priorities, measures, and system health for harmful activity, and continuously improve execution Set requirements and success criteria for detection and automation, and drive Product, Engineering, and Operations to improve coverage, precision, and enforcement quality at scale. Translate
About the Team At OpenAI, our User Operations team safeguards our products and users from legal risk, regulatory non-compliance, fraud, and abuse. The team operates at the intersection of operations, compliance, and user trust, embedded within the broader User Operations organization and collaborating cross-functionally with Legal, Governance Risk & Compliance, Policy and Engineering. We support a global and diverse user base across OpenAI’s suite of product offerings, and developer tools by managing sensitive inbound tickets, regulatory obligations, and escalations. Every user-facing action is grounded in our commitment to legal integrity, ethical practice, and regulatory excellence. About the Role We are seeking an independent, adaptive, and operations-minded Regulatory Operations Analyst to help scale and evolve OpenAI’s global regulatory and compliance operations from San Francisco. This role focuses on complex regulatory operations, including work under the EU Digital Services Act (DSA) and EU AI Act, as well as regulatory inquiries and complaints across the Americas, and Asia-Pacific. You’ll manage sensitive cases independently, exercise sound judgment on escalations, and work closely with Legal Counsel, Governance, Risk and Compliance (GRC), and other cross-functional partners. You’ll also bring a working understanding of privacy and intellectual property matters so you can recognize and escalate related issues when needed. Beyond frontline casework, you’ll help shape the documentation, workflows, tooling, and automation that support safe, scalable and regulatory and legal compliance operations. This role is essential to building scalable, high-integrity operations that protect user rights, meet our obligations under emerging and current regulations. You’ll also contribute to multi-phase transitions and automation efforts that support our long-term operational model. Please note: This role may involve exposure to sensitive or concerning content, including
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Abuse Control Engineering (ACE) is Stripe’s rapid-response technical defense and control incubator. When urgent abuse vectors emerge, ACE bridges the gap using real attacker telemetry to prototype, test, and deploy software safeguards before vulnerabilities can be exploited at scale. We partner closely with Fraud, Risk and Product Engineering to run rigorous experiments, balancing aggressive risk mitigation against legitimate user conversion. Operating as both a strike team and an incubator, ACE builds automated regression suites in partnership with Abuse Research to permanently block threat recurrence and seamlessly transfers mature controls to long-term product owners across Stripe. What you’ll do As an Abuse Control Engineer on the Abuse Control Engineering (ACE) team, you will design, prototype, and incubate technical defenses that safeguard Stripe’s financial ecosystem against complex, cross-cutting abuse vectors. Where emerging threat patterns identify Stripe product weaknesses, ACE steps in to rapidly build and experiment with technical safeguards. Driven by empirical evidence and Stripe’s FT3 (Fraud Taxonomy 3.0) framework, you will translate threat intelligence into hard technical control requirements (e.g., API rate-limiting, step-up challenges, parameter validation, pre-debit holds). You will carefully balance security and product velocity, running experiments to evaluate risk reduction against user conv
Adobe Risk Platform (ARP) is Adobe's centralized, adaptive system for detecting, preventing, and mitigating fraud and abuse across products and services, delivering robust security without degrading customer experience. It protects surfaces like Commerce, Stock, and Firefly with real-time risk decisions. As a Sr Staff Engineer on ARP, you'll set the architectural direction for risk mitigation across Adobe. You'll define the standards, patterns, and long-term technical strategy that let ARP and Adobe stay ahead of fraud and abuse as it evolves. What you'll do Architect systems built for the next three to five years of risk mitigation, while delivering impact iteratively and solving today's most important priorities along the way. Push the platform to the forefront of AI and ML to strengthen fraud and abuse detection. Lay the foundational building blocks of the Risk Platform that future risk-mitigation capability builds on, including the platform's shift toward event-driven, continuously-reasoning risk intelligence. Set architectural standards for risk-decisioning services that other teams across Adobe adopt. Share architectural thinking broadly, through design docs that become org-wide standards, white papers, tech talks, or cross-org design reviews. Simplify complex, interlinked systems into designs other teams can build on with confidence. Mentor senior and staff engineers across teams, growing the next generation of technical leaders. What you need to succeed Bachelor's or advanced degree in Computer Science or related field, or equivalent experience; Master's preferred. 12+ years architecting high-scale, highly performant platforms, and leading the technical teams that build them. Deep understanding of AI and ML, both to strengthen fraud detection and to counter AI-powered attacks. D
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