Jobs in Ramat Gan

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 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 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 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 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 a leading platform for Trust & Safety teams worldwide, combining cutting-edge AI with world-class expertise to protect users from the widest spectrum of online harms and keep customers two steps ahead of bad actors. We are looking for a Senior GenAI Data Scientist with strong hands-on experience in GenAI red teaming, adversarial testing, machine learning, and large-scale data analysis. You will develop the data science and ML capabilities behind an automated GenAI red-teaming platform. You will analyze and cluster adversarial prompts, identify emerging attack patterns, build models for automated prompt generation and mutation, and develop data-driven methods for prioritizing and evaluating security risks across different AI models. We are looking for a hands-on technologist with deep expertise in data science: clustering, scaling, machine learning, and statistical analysis. Key Responsibilities • Build agents that act as data scientists at scale, reasoning, planning, and executing multi-step workflows to generate and analyze adversarial attacks. • Manage and analyze prompt and response data from multiple sources (red-team campaigns, model evaluations, synthetic attacks); clean, curate, normalize, and label it for analysis. • Analyze large volumes of structured and unstructured data to uncover trends, clusters, and anomalies, such as attack families, jailbreak techniques, and previously unseen patterns. • Develop ML models and predictive algorithms to automate red-teaming. • Build evaluation and monitoring pipelines to measure attack success and track model behavior across models and providers. • Use statistical techniques and experiments to validate findings and ensure accuracy and reproducibility. • Take research to production: build reliable, scalable systems optimized for cost and latency, with solid engineering practices (testing, CI/CD, telemetry). Requirements Must-Have • M.Sc. in CS/EE/Math/Statistics or a related field; Ph.D. is an advantage. • 5+ years of hands-on data science or ML experience, programming in Python or R, and SQL. • 3+ years of experience with Scikit-Learn and PyTorch. • Hands-on experience in GenAI red teaming, adversarial testing, or LLM security. • Hands-on experience building and deploying LLM-powered or ML systems in production. • Strong understanding of LLM design patterns, including prompt engineering, tool calling, structured outputs, and RAG. • Strong grasp of clustering, embeddings/NLP, semantic similarity, and anomaly/novelty detection. • Experience building classification, ranking, or prioritization systems. • Solid background in statistics, experimental design, and model evaluation. • Experience with Cradle, Apache Hadoop, and Spark, and with scaling ETL and data pipelines. Nice-to-Have • Experience building LLM agents or multi-agent workflows with frameworks such as LangGraph, LangChain, or OpenAI Agents SDK. • Familiarity with evaluation frameworks, MLOps pipelines, and AI observability tooling. • Data visualization with Tableau, Power BI, or matplotlib. • Experience with AWS, including Lambda, S3, and EC2. • Experience running inference on GenAI models via Hugging Face, Bedrock, and Azure. • Background in Trust & Safety, security, or regulated environments. 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 every day. Through Real-Time Guardrails and continuous Red Teaming, backed by deep threat intelligence and coverage of 117+ languages, Alice helps AI, security, and policy teams build GenAI products that stay safe at global scale. 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 • 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 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 We are looking for a motivated Automation Developer Student to join our team and help us scale our test automation. You will expand our existing Python-based integration test framework, covering our server-side APIs, services and databases. Working closely with QA engineers and developers, you will build reliable, comprehensive automated tests that replace manual QA checks, shorten our release cycles and directly improve product quality. What You'll Do: Develop and extend automated tests within our existing Python integration test framework Translate features, user flows and QA test plans into clear, complete and reliable automated test scenarios Write integration tests covering APIs, backend services and databases Collaborate closely with QA engineers and developers to make sure automated tests are thorough enough to replace manual testing Maintain and improve existing tests, investigate failures and help keep the test suites stable and trustworthy Use AI tools to work efficiently and keep improving how the team builds and maintains tests Requirements You'll Do It Using: Currently pursuing a B.Sc. in Computer Science or Software Engineering, with at least 3 semesters left to graduation and a GPA of 80 or above Hands-on experience with Python or a similar backend language (e.g., Java, C#, Go) Practical experience using AI tools effectively for coding Advantages: Experience with Pytest Experience with REST API testing Familiarity with Git, CI/CD or SQL You'll Excel By: Learning quickly and independently, and taking ownership of your tasks Being a true team player who enjoys working closely with QA and developers Bringing a curious, structured and proactive approach to problem solving Communicating clearly and professionally, and asking the right questions Caring about quality and thinking about the edge cases others might miss Position Intro Earnix is the first AI company purpose-built for insurance decisioning, providing the industry with the intelligence, governance, and decisioning agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. A trusted provider of production-grade AI and decisioning technology, Earnix builds on more than 25 years of experience in artificial intelligence risk, pricing, rating, analytics, and decisioning. Earnix brings vertical AI into the workflows and decisions that shape insurance performance across insurers’ pricing, underwriting, claims, customer engagement, retention, and other insurers high-value insurance moments. Earnix’s AIOS enables insurers to orchestrate intelligence across the insurance decision lifecycle and drive governed, real-time decisions that deliver measurable business outcomes. Earnix is headquartered in Boston, MA and has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

As a QA Automation Engineer, you will be responsible for ensuring the highest quality of our products by designing and executing comprehensive automated testing strategies. You will work closely with development and product teams to integrate quality checks into every stage of the lifecycle, focusing on test reliability and performance. If you are a detail-oriented professional with a passion for software quality and automated solutions, we invite you to join our team. About Splitit: Splitit’s mission is to empower consumers to enrich their lives responsibly by leveraging the credit they have already earned in a new and impactful way. Today’s shoppers demand greater control over their payments, and Splitit is the only Installments-as-a-Service platform that allows them to use their existing credit to split payments into smaller, manageable installments—without interest, applications, or fees. By enabling shoppers to pay small, we help businesses grow big. Splitit operates globally, with teams distributed across the world, including offices in Atlanta, and Tel Aviv. What You’ll Do: • Define and implement end-to-end test strategies and automated test plans. • Develop, execute, and maintain automated test suites for Web, API, and Mobile platforms. • Perform root cause analysis for production issues and failed automated tests. • Collaborate with stakeholders to ensure clear bug reporting and timely resolution. Who You Are: • Bachelor’s degree in Computer Science or a related technical field. • 4+ years of experience specifically in QA automation engineering. • Strong experience with automation frameworks (e.g., XUnit/NUnit, Playwright, Appium) an advantage. • Proficiency in C# or similar OOP languages for test script development. • Solid understanding of software QA methodologies, tools, and processes. • Experience with API testing tools (e.g., Postman, RestSharp). Join us at Splitit and help us ensure the excellence of our global payment platform!

Description We are looking for talented and experienced VLIS Design Engineers/Micro-architects. As an VLIS Design Engineer/Micro-architect, you'll have the opportunity to design highly sophisticated, innovative new cutting edge communication systems from scratch. In this position you will be responsible for coming up with creative solutions to architectural challenges and crafting the very fine details of the implementation Requirements Job requirements: • 5 years of experience as ASIC/FPGA designer • Strong Verilog/System-Verilog experience • Familiar with simulation tools/environments, verification methodologies • Strong team player, solid interpersonal skills • Entrepreneurial can-do attitude, self-motivated, able to work independently • BS/MS in EE/CE from lead universities Background in one or more of the following domains is an advantage: • Familiar with advanced design practices (Clock/Voltage domain crossing, Low Power Design, DFT) • Design DSP of oriented blocks • Ethernet (100G and above) • Scripting experience using several of the following: Python, Perl, TCL

Description For an exciting well-funded start-up, we are looking for a DSP Optical Communication Algorithm senior engineer. As an Algorithm Engineer you will be part of the R&D group developing next generation coherent optical transceivers for DCI with data rates of 800Gbps and 1600Gbps. You will design, simulate, and optimize algorithms. You will interact with many different teams such as: Analog, System, VLSI, Design Verification and FW. What will your work look like? • Design and simulate DSP architectures, define key capabilities, performance requirements and drive specifications for analog, digital and firmware designers. • Develop and simulate DSP algorithms and behavioral models of the optical channel, the optical-electrical transceivers and analog units (ADC/DAC). • Work with designers to ensure circuit architecture can be efficiently implemented. • Participate in cross-functional teams with analog, digital, and firmware designers for bring-up and validation/optimization activities. Requirements Required Experience • 5 years or more of hands-on experience and a well proven record of modem algorithms development (Clock Recovery, Equalization, Phase Recovery, and tracking) for Single Carrier modulation and demodulation. • Fixed point design and programming in MATLAB and C • Very good understanding of System and HW implementation restrictions (from MATLAB to RTL) • Lab hands on (algorithms debug and tuning) Additional Preferred Experience • Experience with Optical Communication systems • Understanding analog mixed signal (ADC/DAC/PLL/VCO) and specifications • Experience with analog circuit calibrations Educational Background: BSc in Electrical Engineering

Description For an exciting well-funded start-up, we are looking for a Backend Team member. You will work on complex design, high frequency and low-power budget. Work on ramp-up full RTL2GDSII flow for leading technology and work with external vendors. Requirements Key responsibilities: • RTL-to-GDSII Ownership: execute the complete backend implementation flow (Logic Synthesis, P&R, Tape-Out, IR-drop, etc.), ensuring timely, first-pass silicon success. · Constraints & Timing Closure: Work with design and DFT engineers to write timing and physical constraints, and sign-off on the design using comprehensive Static Timing Analysis (STA), timing eco implementation. · Advanced Physical Implementation: Drive complex physical design tasks including Floorplanning, Power/Ground (PG) Mesh implementation, and handling advanced clocking (CTS/Clock-Mesh) and Hierarchical Design flows. · Low Power Expertise: Define, implement, and verify advanced low power design techniques to meet aggressive power consumption targets. · Design for Manufacturability: Implement and verify Design-for-Test (DFT) strategies and close physical verification challenges, specifically focusing on IR-Drop analysis. · IP Integration & Automation: Execute complex IP integration, incorporating blocks generated by memory compilers and other automated tools. • Collaboration: work closely with design team to understand the data path and correctly implement the floorplan, provide feedback on RTL changes required, Implement logical eco post RTL freeze with design team. • CAD: Improve existing implementation flows to achieve better QOR, write scripts for supporting the P&R flows. Minimum Qualifications • Experience of 10+ years in backend design • Strong expertise of full RTL2GDSII including: • Logic synthesis & equivalence checking • Constraints definition and writing • Complicated IP integration • Memory compilers and other automated block generators • DFT • Floorplanning, PG Mesh • P&R • Low power design including definition, implementation and verification • Timing STA • IR-Drop • BS/MS in EE/CE from lead universities Preferred Qualifications • Team player • Highly motivated • Learning abilities • Good communication • Work with external vendors • Experience in Synopsys/Cadence tools is an advantage • Low power techniques • Clock-mesh/ multi source cts • Hierarchical design flow • Experience in tape-out procedures • RTL code reading A very interesting job and good conditions are guaranteed to the candidates

Description For an exciting well-funded start-up, developing leading edge technology of the next generation high speed communication, we are looking for a Verification Team-Leader to be driving into the complicated RTL design verification activity on various design aspects. Requirements Key Responsibilities • Lead, mentor, and manage a team of verification engineers to meet project milestones and deliverables. • Define and execute verification strategies and plans for complex digital blocks and systems. • Oversee the development of robust and reusable verification environments using SystemVerilog and UVM. • Review and approve verification plans, testbenches, and coverage metrics. • Drive functional and coverage-based verification across multiple block/system verification cycles. • Collaborate with design engineers to debug and resolve functionality issues. • Ensure effective resource allocation and project planning to achieve optimal results. • Foster a culture of technical excellence, continuous learning, and innovation within the team. • Report verification progress, issues, and risks to senior management and other stakeholders. Required Qualifications • 8+ years of experience in digital design verification—a must. • 3+ years of experience managing or leading verification teams. • Proven track record of completing two or more full block/system verification cycles. • In-depth knowledge of VLSI verification flows, concepts, and methodologies. • Expertise in verification using SystemVerilog, UVM, or other industry-standard methodologies (eRM, OVM). • Experience with data protocols or data path designs (Ethernet experience preferred). • Experience with Ai, agent build, integration to flow and shorten verification cycle time. • Strong problem-solving skills and the ability to debug complex functionality issues. • Excellent leadership, communication, and organizational skills to manage and inspire a team. Preferred Qualifications • Hands-on experience with high-speed communication protocols like Ethernet, PCIe, or SerDes. • Proficiency in scripting languages (e.g., Python, Perl) for automation of verification processes. • Familiarity with formal verification techniques and tools. • Background in system-level verification or post-silicon validation. • Experience with project planning tools and methodologies for effective team management.

Description For an exciting well-funded start-up, developing leading edge technology of the next generation high speed communication, we are looking for a Mixed signal verification Tean-Lead. Requirements • Lead and manage a distributed team of mixed-signal verification engineers across different time zones, ensuring smooth communication and collaboration. • Collaborate with analog and digital design teams to establish specifications, verification plans, and key milestones. • Define and oversee the development of behavioral models (BM) of analog designs, integrating them into digital verification flows. • Drive the execution of mixed-signal dynamic verification using industry-standard digital verification tools (excluding AMS). • Debug and resolve complex issues in mixed-signal designs, ensuring functionality and specification compliance. • Plan and implement scalable and reusable verification environments using Verilog/SystemVerilog. • Provide mentorship and technical guidance to team members, supporting their professional growth. • Manage project timelines, resource allocation, and reporting to ensure successful delivery of verification goals. Minimum Qualifications • 8+ years of experience in mixed-signal and/or digital mixed signal verification. • 3+ years of experience managing or leading verification teams. • Proven experience in Behavioral Modeling (BM) of analog designs for digital verification. • Expertise in mixed-signal dynamic verification using digital verification tools (excluding AMS). • Knowledge Verilog/SystemVerilog for building and debugging testbenches. • Experience with Virtuoso for analog schematic understanding and review. • Solid understanding of analog design fundamentals and concepts. Preferred Qualifications • Hands-on experience with UVM methodology. • Proficiency in both Synopsys or Cadence verification tools. Additional Skills • Verification Methodologies and Tools: Proven ability to develop scalable, portable test cases and utilize verification tools effectively, including simulators, waveform viewers, and coverage collection. • Collaborative Environment: Experience verifying analog/mixed-signal designs in a cross-functional, team-oriented setting. • Communication: Exceptional skills in writing test plans, presenting results, and communicating effectively with multi-disciplinary teams and stakeholders.

Description We are looking for a talented and experienced DFT Tech Lead. As a DFT Tech Lead you will work closely with all other design teams – backend, vlsi, verification and analog, fully responsible for defining, implementing, and deploying advanced design-for-test (DFT) methodologies for highly complex digital and mixed-signal chips. You will define silicon test strategies, DFT/DFD architecture, and create DFT and Debug specifications for complex next generation SoCs. Requirements Minimum qualifications: • 8+ Experience in DFT specification definition, architecture, insertion, and analysis in designs • Experience in silicon bring-up, debug, and validation of DFT features on ATE, debugging ATPG patterns, Compressed ATPG patterns, MBIST, and JTAG-related issues • Experience in fault modeling Preferred qualifications: • Master's degree in Electrical Engineering. • Experience in IP integration (memories, Test controllers, TAP, MBIST). • Experience using EDA Test tools like Design/Fusion Compiler, DFT Max, SpyGlass, Modus, Tessent, and TestKompress. • Experience and understanding of ASIC DFT, synthesis, simulation and verification flow. • Excellent attention to detail organizational, problem-solving, and communication skills. Responsibilities: • Create SoC DFT strategy and architecture (ATPG/DFT/MBIST) • Work on hierarchical design • Debug all Design Rule checks, apply design fixes to achieve high test quality • Insert all DFT logic - boundary scan, scan chains, DFT Compression, Logic BIST, TAP controller, Clock Control block, and other DFT IP blocks. • Insert and hook up MBIST logic. • Define test plan for special analog IPs and implement. • Document DFT architecture and test sequences, including boot-up sequence associated with test pins.

Description For an exciting well-funded start-up, developing leading edge technology of the next generation high speed communication, we are looking for a Mixed signal verification engineer. Requirements Key Responsibilities: • Develop verification strategies for digital and analog (mixed-signal) designs, utilizing UVM methodologies based on specifications. • Create behavioural models for analog blocks in accordance with guidelines provided by analog designers. • Write, execute, and debug testbenches using UVM methodology and SystemVerilog code for mixed-signal blocks. • Run and debug behavioural model (BM) validation using AMS tools to ensure the correctness of the behavioural models. • Perform and troubleshoot unit-level, cluster-level and top-level simulations of mixed-signal designs. Minimum Qualifications • 10+ years of experience • Experience in Behavioural Modelling (BM) of Analog design for digital verification • Knowledge in Mixed Signals dynamic Verification using chip digital design tools [no AMS] • Experience in Verilog/SystemVerilog coding • Experience in Virtuoso Schematics tools • Basic knowledge in Analog design Preferred Qualifications • Experience in UVM • Experience in both Synopsys and Cadence tools is an advantage Additional Skills • Verification Methodologies and Tools: Familiarity with verification methodologies and tools, including simulators, waveform viewers, execution automation, and coverage collection. Proven experience in developing scalable and portable test cases. • Collaborative Environment: Ability to verify Analog/mixed-signal designs in a collaborative team environment. • Communication: Strong communication skills, including the ability to write test plans, present results, and communicate clearly with multi-functional teams.

Description For an exciting well-funded start-up, developing leading edge technology of the next generation high speed communication, we are looking for a Mixed signal verification engineer. Requirements Key Responsibilities: • Develop verification strategies for digital and analog (mixed-signal) designs, utilizing UVM methodologies based on specifications. • Create behavioural models for analog blocks in accordance with guidelines provided by analog designers. • Write, execute, and debug testbenches using UVM methodology and SystemVerilog code for mixed-signal blocks. • Run and debug behavioural model (BM) validation using AMS tools to ensure the correctness of the behavioural models. • Perform and troubleshoot unit-level, cluster-level and top-level simulations of mixed-signal designs. Minimum Qualifications • 5+ years of experience • Experience in Behavioural Modelling (BM) of Analog design for digital verification • Knowledge in Mixed Signals dynamic Verification using chip digital design tools [no AMS] • Experience in Verilog/SystemVerilog coding • Experience in Virtuoso Schematics tools • Basic knowledge in Analog design Preferred Qualifications • Experience in UVM • Experience in both Synopsys and Cadence tools is an advantage Additional Skills • Verification Methodologies and Tools: Familiarity with verification methodologies and tools, including simulators, waveform viewers, execution automation, and coverage collection. Proven experience in developing scalable and portable test cases. • Collaborative Environment: Ability to verify Analog/mixed-signal designs in a collaborative team environment. • Communication: Strong communication skills, including the ability to write test plans, present results, and communicate clearly with multi-functional teams.

Description For an exciting well-funded start-up, we are looking for an excellent analog mixed signal engineers. You will develop high end ADC/DAC in advanced process for optical communication. Requirements Minimum Qualifications Experience of 5+ years in advanced analog circuits This experience must include: • Above 5 years experience with relevant Analog circuits: • Such as PLL’s, DAC, ADC’s, SerDes, high-speed timing circuits, Phase-Interpolators etc.., including Top-level / system understanding of such complex blocks • Design, Development, and Verification of Integrated circuits - Analog and Mixed Signal Circuits – especially in advanced processes FinFet or GAA. • B.Sc/M.Sc in EE/CE from lead universities Preferred Qualifications • Good Team Work • Good communication skills • Experience with Industry Standard custom/analog design tools • Understanding of layout and its requirements for high speed and low noise • Experience with Tape-Out and signoff requirements