Jobs in Ramat Gan

Description We are seeking an experienced Tech Lead to manage the Domain Experts covering penetration testing, red teaming, cloud security, and ICS/OT (SCADA) security. This role is dedicated to the quality of intent analysis for cybersecurity prompts that an AI system could not confidently classify as benign or malicious, across the domains of the team. You need to be a hands-on expert in your own field, with enough working knowledge of penetration testing, red teaming, and cloud security to judge prompts and guidelines that cross into the other team's domains. You also need to be independent, organized, and able to lead technical experts. What you'll do: • Lead and manage the Domain Experts of the team (Enterprise Red Teaming, Web Application Security, Cloud Redteaming, ICS/OT (SCADA): priorities, workload, and performance • Route incoming rows to the team's domains and rebalance freelancer capacity inside the team as row volume shifts • Track team quality (agreement and disagreement rates, QA findings) and throughput, and report to the Group Manager • Resolve escalated edge cases and prompts that span several domains, and work with the other Tech Lead when a prompt crosses into their field • Keep the annotation guidelines consistent across the team's domains and propose updates • Annotate or review directly when needed to unblock the team Requirements • Minimum of 7 years of proven, hands-on experience in penetration testing, red teaming, cloud security, or ICS/OT (SCADA) security, with deep expertise in at least one of them • Working knowledge across all domains of the team, including ICS/OT protocols (Modbus, DNP3, S7comm, OPC UA) and PLC and SCADA architectures, enough to assess and coach the Domain Experts in each • Solid working knowledge of the other team's fields: penetration testing, red teaming, and cloud security, including common attack paths, tooling, and how their techniques appear in real intrusions • At least 2 years of experience leading or mentoring technical specialists (team lead, tech lead, or senior reviewer) • Experience with quality processes such as QA sampling, calibration sessions, and quality metrics • Strong analytical judgment: able to infer a user's underlying goal from a short prompt and separate defensive, educational, and research use from attack preparation • Clear written and verbal communication in English Nice to have: • OSEP, GCPN, GIAC GICSP • Demonstrated online achievements, write-ups, or contributions on platforms such as HackTheBox, Pwn2Own, TryHackMe, Bug Bounty programs, or published security research. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description We are seeking an experienced Tech Lead to manage the Domain Experts covering reverse engineering, malware research, and vulnerability research. This role is dedicated to the quality of intent analysis for cybersecurity prompts that an AI system could not confidently classify as benign or malicious, across the domains of the team. You need to be a hands-on expert in your own field, with enough working knowledge of reverse engineering, malware research, and vulnerability research to judge prompts and guidelines that cross into the other team's domains. You also need to be independent, organized, and able to lead technical experts. What you'll do: • Lead and manage the Domain Experts of the team (Vulnerability Research & Reverse Engineering, Windows Malware Research, Linux/MacOS Malware Research, Android/iOS Security Research): priorities, workload, and performance • Route incoming rows to the team's domains and rebalance freelancer capacity inside the team as row volume shifts • Track team quality (agreement and disagreement rates, QA findings) and throughput, and report to the Group Manager • Resolve escalated edge cases and prompts that span several domains, and work with the other Tech Lead when a prompt crosses into their field • Keep the annotation guidelines consistent across the team's domains and propose updates • Annotate or review directly when needed to unblock the team Requirements • Minimum of 7 years of proven, hands-on experience in reverse engineering, malware research, or vulnerability research, with deep expertise in at least one of them • Working knowledge across all domains of the team, enough to assess and coach the Domain Experts in each • Solid working knowledge of the other team's fields: reverse engineering, malware research, and vulnerability research, including how malware behaves, how binaries are analyzed, and how exploits are built • At least 2 years of experience leading or mentoring technical specialists (team lead, tech lead, or senior reviewer) • Experience with quality processes such as QA sampling, calibration sessions, and quality metrics • Strong analytical judgment: able to infer a user's underlying goal from a short prompt and separate defensive, educational, and research use from attack preparation • Clear written and verbal communication in English Nice to have: • GIAC GREM, OSED, OSCP • Demonstrated online achievements, write-ups, or contributions on platforms such as HackTheBox, Pwn2Own, TryHackMe, Bug Bounty programs, or published security research. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description • Department: Center of Excellence / People Team • Report to: HR-Tech, Data Insights, Comp & Benefits Lead. • Location & Work Model: Ramat Gan, IL — Hybrid • Role Type: Full-Time About the Role We are seeking a detail-oriented, People Operations & HRIS Specialist to join our Center of Excellence team and keep our core HR domains running smoothly. This role focuses on operational execution, data integrity, system maintenance, and automation across HRIS, People Analytics, Compensation & Benefits, and AI-enabled HR workflows. If you are methodical, quality-oriented, a proactive self-starter who is a creative problem solver, highly adaptable, and comfortable working in an agile and fast-paced environment, we are thrilled to work with you. Key Responsibilities: • HRIS • Execute employee updates across HRIS, HR tools, and market data. • Lead onboarding and app ownership to ensure quality experiences and HR team enablement. • Audit HR system entries for compliance and privacy standards. • Ensure data accuracy across primary HRIS platforms • Employees Life Cycle: • Manage employee lifecycle updates, global onboarding/offboarding, and platform maintenance while ensuring data privacy and compliance. • Being the primary contact for global employees and RoW EoR providers, managing onboarding, offboarding, and lifecycle changes, etc. • People Analytics & Reporting: • Ensure data integrity, build recurring reports as well as analysis, and track standard HR KPIs. • Compensation & Benefits Data: • Maintain compensation tables, job-to-benchmark mappings, and benefits accuracy (vacation accruals, meal policies, etc.). • Maintain employee data-hygene ahead of review and merit cycles. • Pull benchmark data for designated roles and locations. • AI4HR & Automations: • Run operational automations, AI tools, and letter generation with write-back into HRIS, and manage attrition risk cycles and audit data outputs. • Collaboration & Stakeholder Partnerships • Support the enablement of HRBPs and Talent Acquisition teams. • Collaborate with Business Managers, Legal, Finance, IT, and AI Enablement teams. • Growth opportunities offered in continuous learning across analytics, global HRIS, and compensation. Requirements • Education: Bachelor’s degree in Human Resources, Business Administration, Information Systems, or a related field. • Experience: 2+ years in People Operations or HRIS in a global tech organization, including at least a year of hands-on experience with AI tools/automations and Compensation & Benefits processes. • Competencies: Meticulous execution, strong analytical and problem-solving skills, growth mindset, proactive self-starter, highly adaptable, and comfortable working in an agile and fast-paced environment. • Fluent English, and experience working in a global and multi-national company. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice secures AI apps, agents and models from build to production. Enterprises already run agents that talk to their customers, read their email and call their internal tools. Every conversation and every connection can be a way in for an attacker, or the point where an agent goes rogue. You find out how those agents break, on the stacks enterprises actually use, before they cause harm. You will be the first AI security researcher on the product team, reporting to the Director of GenAI Products. Your research becomes guardrails and red teaming tests in the Alice platform, proof customers can act on, and research our marketing team publishes. It also feeds the threat intelligence we deliver. You choose the questions, guided by what enterprises are deploying right now and by the wider research Alice does with the foundation model labs. Key Responsibilities • Research emerging agent risks. Study how agents fail when they talk to users, read untrusted content, call tools, share memory, act autonomously and work with other agents. That covers indirect prompt injection, tool and MCP misuse, data exfiltration, memory poisoning, privilege escalation across agents and unsafe autonomous actions. • Test and prove. Build the environments and experiments that show whether a risk is real, how often it happens and under which conditions. Work on the stacks enterprises use: agent frameworks, MCP servers, workflow tools and AI gateways. Build the sandboxes, detectors and graders that catch failures, and turn each one into a regression test anyone can rerun. Measure how often and how severely agents misbehave, and how that shifts across models, tools and harnesses. Report results with the numbers behind them, so others can rerun and trust them. • Shape the platform. Work with the product team to turn your findings into new guardrails and red-team tests in the Alice platform. • Inform go-to-market and threat intelligence. Share findings and evidence with sales, marketing and Alice's threat intelligence teams, so they can explain new risks to customers with proof behind them. • Publish. Turn research into technical posts, reports and talks with the marketing team, written to hold up with security practitioners, buyers and analysts. We support conference submissions such as Black Hat and DEF CON, including time to prepare and travel to present. Vulnerabilities you find go through responsible disclosure and get CVEs where they qualify. • Collaborate. Work with Alice's large research organization, which partners with leading hyperscalers and foundation model labs. Follow new papers, disclosures and exploits, and decide which ones matter for enterprises deploying agents. Success Looks Like 90 days in, you have published at least one research piece on enterprise agent risks. Its findings have shaped new protections in the Alice platform. Requirements • 4+ years in security research, offensive security, penetration testing or vulnerability research. • Hands-on experience with direct and indirect prompt injection, jailbreaks, data exfiltration and tool misuse against real systems. • Strong Python. You build your own tooling and test environments. • Working knowledge of how agents are built: tool calling, MCP, retrieval, memory and multi-agent orchestration, with hands-on use of at least one agent framework. • Familiarity with AI security frameworks (OWASP Top 10 for LLM Applications and for Agentic Applications, MITRE ATLAS) and with public agent safety and security benchmarks. • Experiment discipline: reproducible setups, controls, and enough runs to trust a result. • Clear writing and presentation: test results the product team can act on, and research that marketing can publish. • Fluent English, written and spoken. Nice to Have • Published research, CVEs, conference talks, or a bug bounty or CTF record in AI or application security. • Experience researching AI safety failures, such as harmful outputs or unsafe autonomous actions. • A background in adversarial machine learning. • Experience building or evaluating detection systems that use AI. • Experience working with product and engineering teams to turn research into shipped features. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice is seeking an experienced Researcher to join our team dedicated to Android malware research. This role presents an exciting opportunity to conduct comprehensive malware analysis, detect emerging threats, and contribute to our understanding of the Android threat landscape. The ideal candidate demonstrates a positive, proactive attitude and excels as a reliable team player with strong technical skills in Android malware analysis. Key Responsibilities: • Conduct in-depth Android malware research and reverse engineering • Detect and document emerging Android malware trends and attack vectors • Analyze Android applications for malicious behavior • Write detection rules and develop automation processes for Android malware identification • Collaborate with team members and share knowledge across departments • Perform static and dynamic analysis of Android malware samples • Document findings and contribute to threat intelligence reports Requirements Must-Have: • At least 3 years of proven experience in one of the following: Research in Android/Windows/Mac/Linux • Low-level reverse engineering or development • Proficiency in one or more programming languages: Java, Python, JavaScript, or C/C++ • Experience with reverse engineering tools and decompilers (e.g. JADX, JEB, IDA Pro, Ghidra) • Familiarity with instrumentation tools like Frida or debugging tools such as GDB/LLDB • Understanding of networking fundamentals and protocols • Must have a valid international government-issued photo ID (e.g., current passport, or international driver's license) for identity verification and global client interaction Nice-to-Have: • Experience with Android development • Familiarity with Android frameworks, including Flutter, React Native, or Unity • Understanding of Android application security • Familiarity with the Android malware ecosystem and techniques • Experience in building automated tools • Experience with writing detailed reports in English About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice identifies and tracks harmful content online. We support technology platforms, corporate enterprises, NGOs, and governments in their fight against terror, hate speech, disinformation, child sexual abuse, organized crime, and other malicious activities on the internet. We are seeking a highly motivated and detail-oriented Intelligence Operations Analyst to join our team. In this role, you will conduct advanced investigations, analyze digital ecosystems, monitor cyber and insider threats, and transform raw intelligence into actionable insights that help address some of the internet’s most complex threats. Key Responsibilities: • Conduct deep-dive research and analysis on online threats, including criminal networks, exploitation, disinformation, and other harmful digital activity. • Generate actionable intelligence reports and high-quality insights. • Lead and manage operational workflows, from data collection to intelligence delivery. • Monitor and anticipate evolving tactics of malicious actors to stay ahead of emerging threats. • Collaborate cross-functionally with technical and operational teams for intelligence gathering efforts. • Maintain and enhance intelligence knowledge bases, infrastructure and analytical tools to improve operational efficiency. • Familiarity with scripting and AI tooling to streamline collection, triage leads, and reduce manual work. • Contribute collection methods, tradecraft, and tooling improvements back to the team. Requirements We are looking for a tech-savvy, proactive, and mission-driven expert with a “Can Do!” approach and the following skills and qualities: Must Have: • Background in Intelligence or equivalent. • Proven OSINT/ WEBINT/ Cyber HUMINT expertise and experience conducting operational investigations in web and mobile environments. • Exceptional presentation and people skills, with customer-facing or B2B/Tech/Sales experience as a plus. • Excellent written and verbal communication skills in English (mandatory); additional languages are a significant advantage. Nice to Have: • Familiarity with digital marketing, mobile and cyber threat ecosystems, or AdTech (strong advantage). • Strong trend analysis capabilities and a sharp ability to identify evolving methodologies of online threat actors. • A proactive, fast learner with curiosity, adaptability, and out-of-the-box thinking. • Solid online security orientation and ability to learn and adopt new intelligence tools quickly. • Tech-driven mindset, with experience in data or technology-oriented organizations. • Comfortable with scripts and AI tooling to accelerate collection and surface leads. • Working knowledge of how technical underground campaigns operate, methods, TTPs, and the terminology of technical underground activity understood from the threat actor's side, not only the analyst's About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact — whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you.

Description Alice is seeking a Fraud Team Leader to join and lead analysts within the Fraud group. In this role, you will guide a team of analysts in researching, evaluating, and analyzing fraud detection mechanisms, abuse vectors, and platform vulnerabilities across a wide range of online services. You will set the team's research direction, generate strategic insights from diverse intelligence sources, and oversee OSINT investigations that identify emerging fraud tactics and behavioral vulnerabilities. Beyond hands-on research and analysis, you will drive the use of technical tools and infrastructure to support investigations, simulate real-world abuse scenarios, and scale the team's fraud research capabilities. You will be accountable for delivering high-quality, actionable intelligence and mitigation recommendations to clients. Key Responsibilities • Lead, mentor, and develop a team of fraud threat analysts, including task allocation, prioritization, and performance feedback. • Set research priorities and methodologies in alignment with client needs and business objectives. • Oversee and conduct investigations into fraud methods across web and mobile platforms (social media, forums, apps, and the dark web). • Design and guide the execution of fraud research methodologies, including technical validation of abuse scenarios. • Own the strategy for building, maintaining, and operating research environments and technical tooling that support fraud investigations and red team activities. • Analyze large datasets, telemetry, and technical artifacts, and guide the team in uncovering patterns and delivering actionable insights. • Serve as a primary point of contact for clients and internal stakeholders, presenting findings and translating research into strategic guidance. Requirements Required Skills & Experience • 5+ years of experience in intelligence analysis, CTI, fraud detection, security research, or a similar technical investigative role. • 2+ years of experience leading or mentoring analysts, either in a formal management role or as a technical/team lead. • Proven ability to manage multiple projects, set priorities, and deliver under tight timelines. • Strong understanding of OPSEC principles and experience implementing them at a team level. • Strong knowledge of WEBINT and OSINT, including social media, apps, and the dark web. • Comfortable working with technical environments, logs, APIs, automation, and investigative tooling. • Fluent in English (additional languages are a plus). About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice's RL Environments team builds adversarial environments that the world's leading AI labs use to test and train their most capable agents. Each environment is a working replica of a real system with an attack planted inside it. A verifier decides whether the agent held up. All of it runs on AgenticVerse, our platform for building, running, and reviewing RL environments. AgenticVerse is a full-fledged, production-grade SaaS application. A large and fast-growing community of researchers works in it every day. We're looking for a Senior Full-Stack Engineer to own AgenticVerse as a product, and to build the digital twins our environments are made of. What you'll do AgenticVerse • Own the AgenticVerse application end to end: frontend, backend, data model, and APIs • Build the workflows researchers live in: authoring tasks, launching runs, managing gyms, and reviewing results • Make a run readable at a glance: traces, verifier results, and where the agent went wrong • Hold a production bar: performance, reliability, access control, and observability as the user base grows • Take features from design to production, and talk to the researchers who use them Digital twins • Build digital twins of real products: web apps an agent can't tell apart from the real thing • Build the full stack behind each one: the UI, a real API backend, and the state that persists across a run • Expose every action the agent takes as an event the verifier can grade Requirements What we're looking for • 6+ years as a full-stack engineer, building production SaaS • BSc in Computer Science or a related field, preferably from a leading university • Strong TypeScript and React, and a backend language (Python preferred) • Experience designing APIs and data models for multi-user applications • Production experience with Docker and cloud infrastructure (AWS preferred) • High autonomy in an undefined space. You take a loose problem and come back with working code • Fluent written and spoken English Advantage • Hands-on AI engineering: building with LLMs, agents, or evaluations • Experience building developer tools or internal platforms • Experience with Kubernetes • Background in security, red teaming, or trust and safety About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice secures AI apps, agents and models from build to production. Enterprises are shipping AI faster than they can secure it, attack techniques evolve constantly, and every company draws the line on acceptable behavior in a different place. No enterprise can keep up with that on its own, and Alice is how they do it. At the heart of the platform sit two engines: the attack engine finds the failures before attackers do, and the defense engine blocks them in production without breaking legitimate traffic. We are hiring a Senior PM who will lead the strategy, vision, and execution of our core engines. This PM sits inside the DS workflow — and can read the notebooks, argue about the eval set, query the data themselves — and translate between model reality and customer reality in both directions. This is not a PM role that writes a PRD and waits. It is a PM role where “I pulled the data, here’s what moved the F1, and here’s what it means for customers” is the expected level of answer. What you'll own Attack engine roadmap. Coverage and depth of adversarial techniques, novel-attack generation quality, agentic/multi-turn testing, zero-day and model-risk research productization. You decide which harm categories, modalities, and attack families we invest in next, and you defend that call with evidence. Defense engine roadmap. Classifier quality across policies and languages, the precision/recall/latency triangle, customer-specific tuning, and the path from "a red team finding" to "a guardrail that blocks it." Closing that attack→defense loop is the single highest-leverage thing this role can do. Evaluation as a product surface. Own how we define, measure, and publish model quality — benchmark datasets, eval harnesses, golden sets, regression gates, and the metrics customers actually see. When a customer asks "how accurate is this," the answer and the evidence behind it are yours. Data strategy for the engines. What data we collect, label, retain, and feed back into training; how customer feedback (overrides, false-positive reports, session feedback) becomes a training signal; and how all of it stays within our customer data commitments The DS↔Engineering seam. Model artifacts, schemas, and pipelines. You keep that contract explicit and get research into production. Day to day • Run discovery with AI Product Owners, security engineers, and CISOs on what attacks they fear and what false positives they can't tolerate • Turn fuzzy customer harm into a testable engine requirement with a measurable bar • Prioritize the DS backlog with the DS lead; make the hard calls on coverage vs. depth vs. latency • Own the quality narrative for sales, solution engineering, and security reviews — backed by numbers you can defend • Partner with design and platform PMs so engine capability becomes a usable product, not a config flag • Track competitive and academic movement in adversarial ML and guardrails, and translate it into roadmap pressure Requirements Required • 5+ years in product management, with at least 2 shipping ML/data-science-backed products • LLM-era experience: evals, prompt engineering, RAG, agentic systems, LLM-as-judge and its failure modes • You can reason about model evaluation properly: precision/recall tradeoffs, class imbalance, train/test leakage, annotation quality, why a benchmark number is or isn't trustworthy • Experience defining and defending model quality metrics to customers or regulators • A track record of working with data scientists and research engineers Strongly preferred • Security or adversarial ML background • Familiarity with data pipeline tooling/feature and labeling infrastructure • Experience with enterprise buyers in regulated industries About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description We are seeking a highly technical, hands-on Principal AI Research Cybersecurity Scientist to drive fast-paced research in frontier AI models, benchmarking, and evaluation. The ideal candidate combines strong research credentials with exceptional engineering capabilities and a proven ability to execute rapid research cycles, moving quickly from identifying research questions to building prototypes, running experiments, and delivering actionable results. The role requires deep expertise in LLMs, foundation models, reasoning, agents, and model evaluation, alongside the ability to translate complex customer challenges into measurable research outcomes. Key Responsibilities • Conduct hands-on research in frontier AI models, reasoning, agents, and multimodal systems. • Design, implement, and iterate on AI benchmarks, evaluation frameworks, and experimental pipelines. • Execute short, high-impact research cycles, rapidly moving from hypotheses to experiments, prototypes, and validated findings. • Identify model limitations, evaluation gaps, and emerging research opportunities. • Work directly with customers and technical stakeholders to translate complex challenges into actionable research. • Collaborate with engineering and product teams to turn research findings into practical solutions. Requirements Qualifications • PhD or MSc in Computer Science, AI, Machine Learning, or a related field, with strong relevant research experience. • Strong publication record at leading AI/ML conferences such as NeurIPS, ICML, ICLR, ACL, or equivalent venues. • Exceptional hands-on technical capabilities, including advanced Python, PyTorch, and experience building and evaluating complex AI systems. • Proven ability to independently design, implement, and execute research experiments within short development cycles. • Deep understanding of LLMs, foundation models, benchmarking, and evaluation methodologies. • Experience with frontier AI labs such as OpenAI, Anthropic, or Google DeepMind is a strong advantage. • Strong analytical and communication skills, with the ability to operate effectively in a fast-paced, customer-driven research environment. Preferred Qualifications • Experience with AI for Cybersecurity, including autonomous security agents, vulnerability research, penetration-testing automation, or security operations. • Experience with Security of AI, including LLM red teaming, adversarial machine learning, prompt injection, and agentic AI security. • Familiarity with cybersecurity tools and environments such as CTFs, sandboxed exploitation environments, static/dynamic code analysis, and security testing frameworks. • Experience developing cybersecurity benchmarks or evaluating frontier models on complex security-related tasks. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice is seeking an experienced Malware Research Team Leader to lead a team of malware researchers, combining hands-on research with people leadership. This role presents an opportunity to lead an established team, strengthening its skills through ongoing training and guidance while ensuring high-quality deliverables. The position balances managerial responsibilities with hands-on technical work (approximately 50% each). The ideal candidate demonstrates a positive, proactive attitude and excels as a reliable team player. Key Responsibilities: • Mentor and manage a team of malware researchers, including recruitment • Conduct short, focused malware research under tight timelines • Detect and document emerging malware trends • Evaluate and enhance team accuracy and performance • Regularly share knowledge with team members and collaborate across teams and departments • Continuously improve malware analysis and review processes • Develop automation processes for malware identification at scale Requirements Must-Have • Management experience - managing at least 2 employees for at least 2 years, with experience in recruiting and training • At least 3 years of proven experience in one of the following: Malware research Reverse engineering Penetration testing In-depth SOC/IR investigations Application security • Strong grasp of object-oriented programming and the ability to trace execution flow through code • Familiarity with multiple languages (Java, C/C++, JavaScript, Python) • Familiarity with static and dynamic research tools such as JADX, Frida, and network debuggers • Understanding of network communications and protocols Nice-to-Have: • Degree in Computer Science, Software Engineering, Electrical Engineering, or a similar field • Proven experience managing a team of more than 5 employees • Experience with disassemblers and native debuggers (e.g., Ghidra, IDA Pro, JEB, LLDB, GDB, x86dbg) • Proficiency with HTTP debuggers, MITM tools, and network analyzers (e.g., Fiddler, HTTP Toolkit, Burp Suite, Wireshark, Little Snitch, mitmproxy) • Development experience in Java, Kotlin, Python, JavaScript, or C/C++ • Familiarity with multiplatform frameworks such as Flutter, React Native, or Unity About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice's RL Environments team builds adversarial environments that the world's leading AI labs use to test and train their most capable agents. Each environment is a working replica of a real system with an attack planted inside it. A verifier decides whether the agent held up. The environments run on AgenticVerse, our platform for building and running RL environments at scale. A large and fast-growing community of researchers works on it every day. We're looking for a Senior AI Engineer to own those environments and the evaluation that decides which tasks are good enough to train a frontier model. What you'll do RL environments • Build RL environments end to end: the replica systems, the planted attack, and the verifier that grades the run • Own environment and verifier design for tool-use, web, and computer-use agents • Make environments airtight: sandboxed, free of eval-awareness cues, and closed to reward hacking • Read rollout traces, find where the agent took a shortcut, and close it Task evaluation • Own Alice's proprietary task evaluator, the engine that decides whether a task is ready for a frontier lab • Make it the industry's sharpest quality bar for RL tasks: realism, threat-model accuracy, and training value • Keep it learning: every customer review and every post-training run makes it stricter Run infrastructure • Scale the run pipeline: queue-driven runners on Kubernetes, per-run sandboxes, and a grader the agent can't reach • Package environments so they drop into customer training and evaluation pipelines Working with Research • Work with researchers as one team, from a task idea to an environment that's ready to train on • Turn what post-training runs reveal into fixes in the environments • Review designs and code, and raise the engineering bar for the people around you Requirements What we're looking for • 6+ years as a backend engineer, building production systems • BSc in Computer Science or a related field, preferably from a leading university • Strong Python, and production experience with Docker, Kubernetes, and cloud infrastructure (AWS preferred) • Experience designing distributed systems and message queues • A track record of owning systems from design to production • High autonomy in an undefined space. You take a loose problem and come back with working code • Fluent written and spoken English Advantage • Academic background in AI or machine learning: a degree, thesis, or research • Hands-on AI engineering: building with LLMs, agents, or evaluations • Exposure to post-training: RL fine-tuning, reward design, or rollout analysis • Background in security, red teaming, or trust and safety About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice is at the forefront of a shift in online safety. As Big Tech moves beyond reactive moderation, Alice is building the agentic future of Trust & Safety. We are hiring a Director of Product to close the gap between our Trust & Safety expertise and the automated, repeatable products the world's largest platforms now need. This is a high-impact leadership role focused on incubating new ideas, pushing from 0 to 1, and productizing what works. You will turn bespoke moderation workflows and investigation methodologies into a portfolio of repeatable, data-driven offerings that let global platforms run agentic safety systems at volume. This role is not red teaming and it is not research. It is execution and scale. You will work closely with the pod leadership to capture domain expertise and embed it into the Alice product suite. Core responsibilities • Productization strategy. Identify high-value Trust & Safety & Security workflows inside Big Tech environments and architect their transformation into standardized product offerings that hold up at platform volume. • Maintain the data moat. Define Alice's data assets as the durable differentiation across all of the company's offerings, services and product lines. • Agentic moderation. Lead the product roadmap for the transition from manual and basic-automated moderation to agentic systems capable of autonomous investigation and enforcement. • Scaling for Big Tech. Design offerings for the infrastructure and policy requirements of big tech platforms like -high throughput, low friction to adopt. • Deliver bespoke projects. Secondary, but real: lead demand and learn from existing and incoming projects, covering the full cycle of requirement collection, development and delivery. Requirements • Proven track record in product management or leadership within the Trust & Safety or Security domains, with a demonstrated ability to lead cross-functional teams • Strategic product leadership: experience leading cross-functional teams to deliver 1-to-N product growth, with a focus on repeatability, efficiency and market fit • T&S scaling: a proven track record of taking complex service-based operations or internal tools and scaling them into revenue-generating, production-ready products • Big Tech literacy: deep understanding of Trust & Safety ecosystems, policy constraints and operational friction points within major platforms • Agentic systems: strong conceptual and practical understanding of how LLM-driven agents can be deployed for content moderation and deep-dive investigations • Entrepreneurial execution: able to operate at a high strategic level while holding the technical depth to judge product feasibility • Communication: mastery in distilling complex technical capabilities into clear, value-driven narratives for senior stakeholders at Fortune 500 companies About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice is a leading platform for Trust & Safety teams worldwide, leveraging cutting‑edge AI and world‑class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever‑changing threat landscape. We’re seeking an outstanding Backend Engineer with a Generative AI orientation to join our research team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic. Key Responsibilities • Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers. • Develop, deploy and integrate AI solutions and agentic frameworks, creating both command‑line tools and interactive notebooks that support our team’s research and workflow automation needs. • Build and manage data pipelines and databases (SQL) for large‑scale data handling, automating data collection and curation (e.g., adversarial prompts for model red-teaming) to support AI training and evaluation. • Integrate research into production by implementing the latest generative AI advancements (including white‑box LLM development), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows. • Integration & Orchestration: Integrate dockerized environments (e.g., Harbor format) into internal training frameworks, optimizing reset/statefulness semantics, concurrency, and throughput ceilings • Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end‑to‑end processes for prompt generation, labeling, and response evaluation. Requirements Must-to-have • B.Sc. in Computer Science, Computer Engineering, or a related field (or equivalent hands‑on experience). • 5+ years of experience delivering large‑scale, high‑performance systems on AWS, with an emphasis on orchestrating data pipelines and AI workflows in production environments. • Expertise in scripting and automation using Python and shell; proven ability to write clean IaC and CI/CD pipelines. • Strong understanding of Linux systems, networking, and distributed system design. • Ability to break down monolithic systems into scalable, loosely coupled services and microservices. • Strong cross‑functional communication and collaboration skills, with a DevOps mindset to drive best practices across teams. • Hands‑on experience deploying and integrating generative AI models (e.g., large language models or other AI/ML models) in production. • Hands‑on experience deploying MCP clients/servers and integrating them into automated AI workflows. Nice-to-Have • M.Sc. in Computer Science, Computer Engineering, or a related field. • Experience with large‑scale cluster management or HPC scheduling tools (e.g., Slurm). • Knowledge of advanced observability and monitoring tools such as Prometheus and Grafana. • Experience with cloud cost optimization (FinOps concepts) and exposure to infrastructure security tools or configuration management for compliance. • Hands‑on experience working with A2A protocol. Alice is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, Alice empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, Alice enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice is hiring Intermediate Malware Researchers to analyze and review malware applications. Candidates should have a background in cybersecurity and software development. The role includes training in malware analysis and detection and provides exposure to various malware threats and techniques. Researchers will combine technical and intelligence findings to reach accurate verdicts and assist in the bulk removal of malicious applications. The position requires adaptability and proactive identification of emerging malware trends. We are seeking candidates who are willing to learn, can perform effectively under pressure, and maintain high professional standards. Requirements Must-Have: • 2 years of proven experience in cybersecurity or software development: Cybersecurity experience must include hands-on work such as malware analysis, reverse engineering, deep-dive SOC investigation, mobile/APK analysis, or penetration testing • Strong understanding of Java object-oriented programming • Ability to trace execution flow through code analysis • Comprehensive knowledge of cybersecurity, networking, and programming fundamentals • Proficient English communication skills (reading and writing) • Must have a valid international government-issued photo ID (e.g., current passport or international driver's license) for identity verification and global client interaction Nice-to-Have: • Computer Science degree • Proficiency in multiple programming languages (e.g., JavaScript, C/C++) • Experience with disassemblers such as IDA Pro or Ghidra • Experience with decompilers such as JADX or JEB • Familiarity with instrumentation frameworks like Frida or Xposed • Experience with HTTP debugging and network analysis tools (e.g., Fiddler, HTTP Toolkit, Burp Suite, Wireshark) • Knowledge of common malware threats and techniques About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description You will define Alice's research agenda in AI safety, security, and model evaluation - and drive the science that delivers it. The benchmarks you design will become the new world-standards. The methods you develop will run inside the labs defining what AI becomes. Specifically, the org you will be leading technically, is Alice Labs, that includes AI researchers from across Alice departments and directly within the Alice Labs department. This is a role for someone whose strength is in scientific pragmatism. Pushing the envelope on how new frontier research should apply to AI safety and security. You will ship three new benchmarks/evals every month, one breakthrough benchmark each quarter, and at least one paper per quarter at top-tier conferences (eg. NeurIPS, ICML, ICLR, ACL, or IEEE S&P etc) You will also represent Alice externally - at conferences and events, with research partners, and on visits to frontier labs. Travel is an important part of this role: it is how science stays sharp and how Alice stays at the frontier. What you will own • The research roadmap - safety, security, red teaming, adversarial robustness, LLMs, agents, and multimodal systems and more. • Benchmark and evaluation design - frameworks and methods that surface real vulnerabilities in frontier models • Research relationships with leading frontier labs and academic institutions • Collaborative engagements with technical teams at partner organizations • Alice's published research output and scientific reputation • The pipeline from research to product - working with engineering and product to ship findings at scale Requirements • A research leader whose primary strength is scientific, yet pragmatic and grounded in the real needs of the future - someone who has worked at the frontier and wants to push it further • Deep expertise in AI safety, security, red teaming, or adversarial robustness • A strong publication record at leading AI or security venues • Experience mentoring or leading senior researchers • Comfort engaging with technical partners and collaborators • Willingness to travel, including internationally • PhD in AI, ML, CS, or security is a strong advantage - a compelling research record without one is equally welcome About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice is seeking to hire a Technical Fraud Threat Analyst to join the Fraud team. In this role, you will research, evaluate, and analyze fraud detection mechanisms, abuse vectors, and platform vulnerabilities across a wide range of online services. You will generate strategic insights from diverse intelligence sources, conduct OSINT investigations, and identify emerging fraud tactics and behavioral vulnerabilities. In addition to research and analysis, you will leverage technical tools and infrastructure to support investigations, simulate real-world abuse scenarios, and enable scalable fraud research. Your work will culminate in actionable intelligence and mitigation recommendations for clients. Key Responsibilities: • Conduct investigations and identify fraud methods across web and mobile platforms (social media, forums, apps, and the dark web). • Design and execute fraud research methodologies, including technical validation of abuse scenarios. • Build, maintain, and operate research environments and technical tooling that support fraud investigations and red team activities. • Analyze large datasets, telemetry, and technical artifacts to uncover patterns and deliver actionable insights. • Develop or leverage automation to improve research workflows and increase operational efficiency. • Monitor third-party websites and channels for malicious activities and fraud risks. • Prepare detailed reports with findings, insights, and actionable recommendations. Requirements Required Skills & Experience: • 3+ years of experience in intelligence analysis, CTI, fraud detection, security research, or a similar technical investigative role. • Strong understanding of OPSEC principles. • Strong knowledge of WEBINT and OSINT, including social media, apps, and the dark web. • Comfortable working with technical environments, logs, APIs, automation, and investigative tooling. • Ability to troubleshoot technical issues and rapidly learn new technologies, tools, and research methodologies. • Strong analytical, communication, and reporting skills. • Proactive, creative, and quick to learn new tools and practices. • Fluent in English (additional languages are a plus). • Comfortable with sensitive content. Advantage: • Experience conducting red team exercises on online platforms to identify abuse methods and bypass mechanisms. • Experience with scripting or programming (e.g., Python, JavaScript, or similar) to support research and automation. • Experience developing or maintaining research infrastructure, automation pipelines, or investigative tooling. • Familiarity with cloud environments, virtualization, or containerized environments. • Platform familiarity: Hands-on experience with social media, apps, and forums. • Experience working with APIs, web technologies, or automation frameworks. • Experience with multiple languages. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description We are seeking a Senior AI Researcher to lead post-training evaluation, red-teaming, and reinforcement learning (RL) gym audits on open-weight models. The ideal candidate will establish rigorous benchmarking methodologies, evaluate large language models (LLMs) against complex threats like Indirect Prompt Injections (IPI), and construct post-training evaluation pipelines that accurately measure realistic frontier-level security capabilities. Key Responsibilities RL Post-Training & Benchmarking • Execute post-training runs (e.g. GRPO) using mainstream open-weight generalist models against security-focused RL environments, targeting threat vectors like Indirect Prompt Injection (IPI). • Reward Diagnostics & Trace Analysis - Analyze live loss curves and rollout traces to identify reward hacking, lazy policy convergence, and flawed or over/under-specified verifiers. Task & Environment Auditing • Review tasks and multi-turn environments (including tool use, web navigation, and computer use) for realism, threat model accuracy, data distribution, and dataset balance. Performance Reporting (Gym Cards) • Generate comprehensive evaluation cards detailing hill-climbing performance uplift across checkpoints, failure modes, tokens/turns per rollout, and task-level success rates. Integration & Orchestration • Integrate dockerized environments (e.g., Harbor format) into internal training frameworks, optimizing reset/statefulness semantics, concurrency, and throughput ceilings. Requirements Required Qualifications • Technical Background: M.S. or Ph.D. in Data Science, Machine Learning, Computer Science, or equivalent practical experience in deep learning. • RL & Post-Training Expertise: Strong hands-on experience training large-scale models using RL algorithms (e.g. GRPO, PPO) on open-weight architectures. • AI Security Expertise: Solid understanding of LLM vulnerabilities, red-teaming methodologies, and defensive alignment against IPI attacks. • Infrastructure Skills: Proficiency in PyTorch, Docker containerization, and distributed training architectures. • Diagnostic Skills: Ability to analyze agent rollout traces, craft deterministic rubrics/verifiers, and debug complex reward shaping flaws. Preferred Qualifications • Prior experience working with standard RL gym formats, such as Harbor. • Experience evaluating complex agentic workflows in tool-use or web-browser environments. • Familiarity with evaluating open-weight models similar to Llama or Mistral against adversarial workloads. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Alice is seeking to hire a Fraud Threat Analyst to join the Fraud team. In this role, you will be responsible for researching, evaluating, and analyzing fraud detection mechanisms and vulnerabilities across various platforms and solutions. You will generate strategic insights from diverse intelligence sources, conduct OSINT investigations to identify fraud risks, and monitor online platforms to detect malicious activities. You will also focus on uncovering fraud tactics, behavioral vulnerabilities, and process bypasses while delivering actionable mitigation recommendations to clients. Key Responsibilities: • Conduct investigations and identify fraud methods across web and mobile platforms (social media, forums, apps, and the darknet). • Analyze large datasets to uncover patterns and deliver actionable insights. • Monitor third-party websites and channels for malicious activities and fraud risks. • Prepare detailed reports with findings, insights, and actionable recommendations. Requirements Required Skills & Experience: • 3+ years of experience in intelligence analysis, CTI, or fraud detection. • Strong understanding of OPSEC principles. • Strong knowledge of web intelligence (WEBINT) and OSINT, including social media, apps, and the dark web. • Strong analytical, communication, and reporting skills. • Proactive, creative, and quick to learn new tools and practices. • Fluent in English (additional languages are a plus). • Comfortable with sensitive content. Advantage: • Experience in conducting red team exercises on online platforms to uncover potential abuse methods and bypass mechanisms • Experience with multiple languages. • Platform familiarity: Hands-on experience with social media, apps, and forums. • Experience with automation tools or scripting. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description At Alice, our Cyber Threat Intelligence group thrives on curiosity and deep technical dive capabilities. We are looking for a Senior Threat Intelligence Researcher with a passion for CTI and a background in proxy research/ anti-bot defense/ web-scraping /threat hunting, with a proven ability to take initiative and conduct independent research with a track record of high-level results. In other words, not just an individual contributor, but a true talent that is seeking to make a mark in the industry. You will lead technical threat research, author analytical reports, and proactively monitor ongoing and emerging threats to keep us steps ahead of adversaries. Responsibilities • Hunting, detecting, monitoring, and researching threats against Alice clients. • Analysis of threat groups and TTPs across different fraudulent ecosystems. • Researching and monitoring multiple sources through the clear, deep, and the dark web. • Produce technical reports for clients describing threat actor TTPs, analysis and exploits relevant for Alice’s clients. Work closely with client account leads and stakeholders, as well as collaborating with fellow analysts to produce intelligence reports. • Review, enrich and provide analyst tradecraft for other team members as part of the delivery process. Prepare assessments of current threats and trends based on collection, research and analysis of classified intelligence collected by the teams. Requirements Must Have • Experience in one of the following fields: • - Anti-bot detection/research • - Proxy detection/research • - Web scraping development/detection/prevention • Experience in technical CTI threat hunting - databases, IPv4/IPv6 intelligence, • Experience with threat hunting platforms: VirusTotal, UrlScan, Greyhat Warfare, Shodan • Experience in analyzing threat groups and actors using OSINT, WEBINT methodologies • Darkweb and Cybercrime intelligence experience • Strong English communication skills: ability to clearly communicate intelligence by writing reports, or briefing clients and other stakeholders • Must have demonstrated experience in gathering and evaluating internet information from social media, chats and darknet forums • Great verbal and written communication skills Nice to Have • Scripting (Python, BASH, and/or equivalent) • Experience in operating threat intelligence collection platforms: Intel471, Recorded Future, CyberSixgill, Flashpoint and/or equivalent • Foreign language proficiency About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!