Jobs in Ramat Gan

Description For an exciting well-funded start-up, developing leading edge technology of the next generation high speed communication, we are looking for a Senior Verification Engineer to be driving into the complicated RTL design verification activity on various design aspects. Requirements Key responsibilities: • Ownership of block\cluster verification end to end from scratch. • Lead efforts of test bench architecture, Vplan definition and functional coverage. • Work closely with the design, architecture, algo teams and other stakeholders. • Support other team members and mentor less experienced engineers. Requirements • 10+ years of experience – a must • Performed at last 2 or more full block/system verification cycles. • In depth knowledge in VLSI verification flow, languages and concepts. • Experience in data path or data protocols, specifically Ethernet - preferred • Verification using one of the known methodologies (eRM, UVM, OVM). Responsibilities • Plan and perform the verification of digital design blocks according to the design specification and interacting with design engineers. • Build verification environments using SystemVerilog and UVM. • Identify and write all types of coverage measures for corner-cases. • Debug the functionality with design engineers. • Perform coverage collection and follow the metrices to close the full functionality.

Description For an exciting well-funded start-up, we are looking for an excellent analog mixed signal engineer. You will develop high end ADC/DAC in advanced process for optical communication. Requirements Minimum Qualifications Expert: • Beyond 10 years experience with relevant Analog circuits • Leading analog design of complex analog systems such as PLL’s, DAC, ADC’s, SerDes from Concept and Architecture, specification and design • Leading Top-level of such complex blocks, technically leading other team members • Design, Development, and Verification of Integrated circuits - Analog and Mixed Signal Circuits – especially in advanced processes FinFet or GAA. • Advance degree from leading University in relevant field is an advantage. • 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

Description Overview The System Director Manager for Optical Digital DSP base Systems is a senior leadership role responsible for managing and directing the development, implementation, and optimization within optical communication networks. This position demands a comprehensive understanding of optical communications, DSP algorithms, system architecture, PCB design, and hands-on lab work. The System Director Manager will lead a team of engineers, ensuring the successful deployment of state-of-the-art optical DSP chip, while collaborating closely with other departments. Requirements Key Responsibilities • Leadership and Management: • Lead, mentor, and manage a team of engineers, providing technical guidance and fostering professional growth. • Develop and execute strategic plans for optical system development, aligning with organizational objectives. • Collaborate with cross-functional teams including , VLSI, Analog, and algorithm teams. and management to ensure seamless project execution. • Technical Oversight: • Oversee the design and development of advanced optical systems. • Ensure the effective integration of DSP Chip solutions into optical communication systems • Conduct technical reviews, offering feedback on system design, architecture, and implementation. • PCB Design and Lab Work: • Supervise the design, testing, and validation of PCBs used in optical DSP systems. • Manage lab activities, ensuring proper setup, maintenance, and operation of lab equipment. • Oversee hands-on lab work, including the assembly and testing of prototypes and final products. • Ensure compliance with safety and quality standards within lab environments. • Innovation and Research: • Drive innovation in optical DSP technologies by staying updated on industry trends and emerging technologies. • Promote a culture of continuous improvement and innovation within the team. • Project Management: • Manage project timelines, budgets, and resources to ensure timely delivery of DSP chip system solutions. • Develop and maintain comprehensive project documentation, including specifications, design documents, and test plans. • Coordinate with external partners and vendors as required. • Quality Assurance: • Implement best practices for system validation and testing. • Ensure the reliability and performance of systems through rigorous testing and analysis. • Oversee troubleshooting and resolution of issues in deployed systems. • Customer and Stakeholder Engagement: • Engage with customers to understand their requirements and provide technical expertise. • Present technical concepts and project updates to stakeholders, including executives and customers. • Ensure customer satisfaction with delivered DSP system solutions. Qualifications • Education: • B.Sc./M.Sc in Electrical Engineering, Computer Science, or a related field with a focus on signal processing or optical communications. • Experience: • 10+ years of experience in optical communications and digital signal processing. • Proven track record in leading and managing engineering teams. • Extensive experience in designing and implementing optical DSP chip systems. • Familiar with RTL Design, FW implementation and Analog-Mixed-Signal integrations. • Experience in PCB design and lab work. • Work with standards like OIF and IEEE, ITU, and other specifications • Skills: • Deep understanding of optical communication systems, including coherent optical systems, and fiber optics. • Proficiency in signal processing algorithms, including modulation, demodulation, equalization, and FEC. • Strong programming skills in languages such as MATLAB, Python, C/C++, and experience with DSP hardware. • Experience with PCB design software and PI/SI tools • Hands-on experience in lab work, including the use of oscilloscopes, spectrum analyzers, AWG, and other lab equipment. • Excellent project management and organizational skills. • Strong analytical and problem-solving abilities. • Effective communication and interpersonal skills. • Ability to work in a fast-paced, dynamic environment.

Description We are seeking a skilled Production Test Engineer to join our team, specializing in high-speed mixed-signal ICs. In this role, you will be responsible for the execution, optimization, and continuous improvement of test processes for high-performance mixed-signal ICs in a high-volume manufacturing environment. You will ensure the devices meet stringent quality standards while working with cross-functional teams to optimize test methodologies, troubleshoot test failures, and improve yield. The ideal candidate will have experience with Automated Test Equipment (ATE), high-speed digital interfaces (e.g., SerDes), Analog circuit testing (e.g., ADCs, DACs, PLL), and mixed-signal ICs. Requirements Key Responsibilities • Test Execution & Monitoring • Execute test plans for high-speed mixed-signal ICs, ensuring all performance criteria are met before production release. • Perform automated testing on ATE platforms (e.g., Teradyne), focusing on both Analog and digital signal integrity, functionality, and power measurements. • Monitor the production line for test performance, ensuring that all ICs meet quality standards before being shipped to customers. • Troubleshooting & Debugging • Troubleshoot and identify root causes of test failures in high-speed mixed-signal ICs, collaborating with design and quality teams to resolve issues. • Perform failure analysis on devices that fail initial tests and implement corrective actions to prevent recurrence in future production runs. • Work closely with design engineers to refine and debug test programs for both digital and Analog components. • Test Optimization & Process Improvement • Continuously improve test flow, reduce test time, and optimize throughput without compromising quality or test coverage. • Participate in yield enhancement activities, analysing test data to identify patterns and implementing solutions to improve yield and reduce defects. • Automate repetitive test tasks and implement new testing procedures to ensure efficiency and accuracy. • Collaboration & Reporting • Collaborate with design engineers to ensure that the test process is optimized for the manufacturability of mixed-signal ICs. • Provide detailed test reports, including yield data, test results, and analysis of device performance. Share insights and recommendations with senior management to enhance production efficiency. • Test Equipment Management • Maintain and calibrate test equipment to ensure accuracy and reliability, including Automated Test Equipment (ATE), oscilloscopes, logic analyzers, and signal generators. • Ensure that test hardware is properly set up, configured, and validated for each new device under test (DUT). • Troubleshoot and resolve any issues related to test equipment functionality. Qualifications • Education: Bachelor’s degree in electrical engineering, or a related field. • Experience: 2+ years of experience in production testing of high-speed mixed-signal ICs or similar semiconductor devices. • Skills: • Hands-on experience with Automated Test Equipment (ATE) such as Teradyne, Advantest, or National Instruments. • Experience testing high-speed digital interfaces (e.g., SerDes) and Analog mixed-signal components (e.g., ADCs, DACs, amplifiers, PLL). • Familiarity with testing methodologies for signal integrity, timing analysis, and power consumption in high-speed devices. • Proficiency in using oscilloscopes, logic analyzers, and signal generators. • Experience with test data analysis and reporting tools. • Strong problem-solving and analytical skills to diagnose and resolve test failures. • Good communication skills to collaborate across engineering and production teams. • Ability to work efficiently in a fast-paced production environment with a focus on continuous improvement.

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 5+ 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 OX Security is securing the AI-driven SDLC from prompt to production. We're building the next generation of security technology for a world where AI is changing how software is built, deployed, and attacked. We're looking for a strong Senior Backend Engineer to join VIBESEC, the team building our AI security products. This is one of the most exciting places to be at OX right now: a brand-new product, in a domain that changes every day, with real customers already shaping what we build next. You'll join a small, senior, globally distributed team of six engineers across Europe, Israel and Argentina. You'll own features end to end, from the first conversation with Product through design, build, and production. Because the domain is new, your technical judgment will shape the architecture rather than follow it. If you want to build something genuinely new, at the point where AI and security meet, let's talk. Responsibilities What You'll Be Doing • Design and build the backend of our AI security products in Node.js and TypeScript, running across cloud environments and endpoints • Own features end to end, from business requirements through architecture, implementation, delivery and production quality • Work closely with Product and directly with customers, turning fast-moving business needs into robust technical solutions • Partner with Product, Design, and other engineering teams on complex cross-company projects • Make and defend architectural decisions in a domain with no established playbook, where the right answer this quarter may not be the right answer next quarter • Set the technical bar for a senior team, and raise it through code reviews, design discussions and examples Requirements What We're Looking For • 6+ years of hands-on backend development experience • Strong, production-level experience with Node.js and TypeScript (must-have) • Proven ability to design and deliver solutions for complex, distributed systems • Strong ownership and accountability, with high independence and the ability to manage multiple stakeholders • A track record of taking features from requirement to production, with production-grade code • Comfort with ambiguity and rapid change, and the judgment to know when to move fast and when to build for the long run • Excellent English and strong communication in a fully distributed team • The "AI-First" Spark: You are an early adopter of AI technologies and are passionate about finding ways to use AI to improve developer experience and system performance. Bonus Points for : • Experience with microservices architecture • Background in cybersecurity or endpoint agent development • Experience delivering customer-value-driven products in fast-paced startup environments • Hands-on work with LLMs, AI agents or AI-powered product features Benefits Package • Hybrid Work mode - 2-3 days in the office • Unlimited Paid Time Off (PTO): We offer unlimited vacation because we trust you to take time when you need it and to manage your time effectively. We value work-life balance and want you to recharge. • Cibus • Gifts on your birthday & Holidays.

Description OX Security secures the AI-driven SDLC from prompt to production. At OX, we're building the future of cybersecurity for the AI era. We're looking for a Team Leader to lead our Agentic Pentest team. The team is building a new product: AI agents that autonomously test applications the way a real attacker would. It's a new space that evolves quickly, and you'll help shape both the product and how we build it. This is a hands-on leadership role. You'll lead senior engineers, stay close to the code, and work with Product and customers to turn real security needs into a working platform. Responsibilities What You'll Be Doing • Lead, grow and mentor a team of senior backend engineers • Stay hands-on: write production code and take part in design and code reviews • Own architecture and design decisions for an agentic pentest platform: AI agents, task orchestration and scanning at scale • Work with Product and customers to turn requirements into clear technical plans, and deliver them with high quality • Set engineering standards for a new product built in an AI-first way Requirements What We're Looking For • 2+ years leading backend engineering teams (direct management of 3+ engineers) • 8+ years in backend engineering, including senior-level roles • Proven experience in security or in agentic AI systems (must): either a role at a cybersecurity product company or security/pentest firm, or hands-on experience building production AI agents (Harness, LLM tool calling, multi-step agents, MCPs) - beyond using AI coding tools • Hands-on in Node.js/TypeScript or another high-level backend language • Proven ability to guide architecture and technical decisions for complex systems • Strong ownership, independence and stakeholder management • Excellent English • AI-first mindset: daily, hands-on use of AI tools in your engineering work Nice to Have • Offensive security background: pentest, DAST, vulnerability scanning, red-team or attack-simulation tooling • Experience with both security and agentic AI • Experience leading a team on a 0→1 product

Description About the Position Ox Security secures the AI-driven SDLC from prompt to production. We eliminate critical, real-time risks from AI code generation through cloud runtime by doing what conventional tools can’t: unifying development and cloud context to stop vulnerabilities right at the source. At OX, we’re building the future of cybersecurity for the AI era. If you’re looking to work on disruptive technology with an amazing team, you belong here. We’re growing fast and looking for a Sales Development Representative to join our EMEA Sales team and play a key role in building pipeline across the Benelux region. This is a high-impact, cross-functional role where you’ll work closely with Account Executives, Marketing and Channel Partners, helping us open doors with security and engineering leaders at the region’s leading enterprises. If you’re driven, curious and fearless on the phone, and excited about cybersecurity and startup growth, we’d love to meet you. Responsibilities What You’ll Be Doing • Prospect and engage decision-makers (CISOs, security leaders, engineering managers) across Benelux through calls, email and LinkedIn • Research and personalize outreach to break into high-value accounts • Qualify leads and set high-quality meetings for our Account Executives • Collaborate with Marketing and Sales leadership to refine messaging and targeting • Utilize AI and sales tools like Amplemarket, Clay, On.fire, Lusha and more Requirements What We’re Looking For • Fluent professional English • Excellent written and verbal communication skills in Dutch or French – Dutch strongly preferred • 1–2 years of proven B2B sales success (SaaS a bonus) • Strong outbound prospecting skills and confident objection handling • Fearless and engaging on the phone • Proven track record of cold calling and closing meetings • Quick to learn and comfortable discussing technical concepts Bonus Points For • Cybersecurity background – a big plus (e.g., SDR/BDR experience at a security vendor) • Fluency in both Dutch and French, covering the full Benelux market • Experience selling into security, DevOps or engineering personas • A creative, marketing-minded approach to outreach

Description OX Security is redefining application security for the AI era, giving security and development teams full visibility and control from code to cloud. We’re a fast-growing team of builders and security practitioners, and we’re looking for a Product Manager to lead OX Code. The Role As the Product Manager for OX Code, you’ll own the product end-to-end: vision, roadmap, prioritization and delivery. You’ll work closely with our R&D group and with the Platform product team, and you’ll be the voice of AppSec practitioners inside OX. You’ve stood where our customers stand, so you know what actually matters to them day-to-day, and you’ll turn that into a product they rely on. Responsibilities What You’ll Do • Own the OX Code product strategy and roadmap, and prioritize based on real practitioner needs • Work hand-in-hand with engineering to define, scope, and ship features • Partner with the Platform PM to keep the experience consistent across the OX platform • Spend real time with customers: discovery calls, feedback loops and design partnerships • Translate complex security workflows into clear requirements and simple user experiences • Work with Sales, Customer Success and Marketing on launches, positioning and field enablement Requirements What You Bring • Hands-on experience operating or managing an AppSec program (must) • Product management experience, owning a product or a significant product area • Deep understanding of the AppSec practitioner’s world: SAST, SCA, secrets, CI/CD security, and vulnerability triage and remediation • Excellent people skills. You build trust quickly with customers, engineers and stakeholders, and you know how to influence without authority • Strong prioritization skills and the ability to make clear decisions with incomplete information • Excellent communication in English, written and verbal Nice to Have • Familiarity with AI-assisted development and its security implications

Description About the Position Ox Security secures the AI-driven SDLC from prompt to production. We eliminate critical, real-time risks from AI code generation through cloud runtime by doing what conventional tools can’t: unifying development and cloud context to stop vulnerabilities right at the source. At OX, we’re building the future of cybersecurity for the AI era. If you’re looking to work on disruptive technology with an amazing team, you belong here. We’re growing fast and looking for a Sales Development Representative to join our EMEA Sales team and play a key role in building pipeline across the French market. This is a high-impact, cross-functional role where you’ll work closely with Account Executives, Marketing and Channel Partners, helping us open doors with security and engineering leaders at France’s leading enterprises. If you’re driven, curious and fearless on the phone, and excited about cybersecurity and startup growth, we’d love to meet you. Responsibilities What You’ll Be Doing • Prospect and engage decision-makers (CISOs, security leaders, engineering managers) across France through calls, email and LinkedIn • Research and personalize outreach to break into high-value accounts • Qualify leads and set high-quality meetings for our Account Executives • Collaborate with Marketing and Sales leadership to refine messaging and targeting • Utilize AI and sales tools like Amplemarket, Clay, On.fire, Lusha and more Requirements What We’re Looking For • Native French with excellent written and verbal communication skills – mandatory • Fluent professional English • 1–2 years of proven B2B sales success (SaaS a bonus) • Strong outbound prospecting skills and confident objection handling • Fearless and engaging on the phone • Proven track record of cold calling and closing meetings • Quick to learn and comfortable discussing technical concepts Bonus Points For • Cybersecurity background – a big plus (e.g., SDR/BDR experience at a security vendor) • Experience selling into security, DevOps or engineering personas • A creative, marketing-minded approach to outreach

Description About the Position Ox Security secures the AI-driven SDLC from prompt to production. We eliminate critical, real-time risks from AI code generation through cloud runtime by doing what conventional tools can’t: unifying development and cloud context to stop vulnerabilities right at the source. At OX, we’re building the future of cybersecurity for the AI era. If you’re looking to work on disruptive technology with an amazing team, you belong here. We’re growing fast and expanding our EMEA team with several Sales Development Representatives to play a key role in building pipeline across our EMEA markets. This is a high-impact, cross-functional role where you’ll work closely with Account Executives, Marketing and Channel Partners, helping us open doors with security and engineering leaders at leading enterprises across the region. If you’re driven, curious and fearless on the phone, and excited about cybersecurity and startup growth, we’d love to meet you. Responsibilities What You’ll Be Doing • Prospect and engage decision-makers (CISOs, security leaders, engineering managers) across your assigned EMEA markets through calls, email and LinkedIn • Research and personalize outreach to break into high-value accounts • Qualify leads and set high-quality meetings for our Account Executives • Collaborate with Marketing and Sales leadership to refine messaging and targeting • Utilize AI and sales tools like Amplemarket, Clay, On.fire, Lusha and more Requirements What We’re Looking For • Excellent written and verbal communication skills in English – mandatory • 1–2 years of proven B2B sales success (SaaS a bonus) • Strong outbound prospecting skills and confident objection handling • Fearless and engaging on the phone • Proven track record of cold calling and closing meetings • Quick to learn and comfortable discussing technical concepts Bonus Points For • Cybersecurity background – a big plus (e.g., SDR/BDR experience at a security vendor) • Nordic or Eastern European languages – a big plus, especially Russian, Polish or Greek • Also a plus: Spanish, Italian, Portuguese, Romanian, Czech/Slovak, Bulgarian or Serbian/Croatian • Experience selling into security, DevOps or engineering personas • A creative, marketing-minded approach to outreach

Description Ox Security secures the AI-driven SDLC from prompt to production. We eliminate critical, real-time risks from AI code generation through cloud runtime by doing what conventional tools can’t: unifying development and cloud context to stop vulnerabilities right at the source. At OX, we’re building the future of cybersecurity for the AI era. If you’re looking to work on disruptive technology with an amazing team, you belong here. We’re growing fast and looking for an AI Security Team Leader to join our Engineering Team and play a key role in leading the development of our cutting-edge AI security products (VIBESEC). This is a high-impact, cross-functional role where you’ll work closely with Product, Design, and other Engineering teams, helping us deliver high-quality, customer-centric security solutions in a fast-evolving domain. If you’re highly accountable, adaptable, and business-value driven, and excited about cybersecurity, cutting-edge AI, and fast-paced startup challenges, we’d love to meet you. Responsibilities What You’ll Be Doing • Lead & Mentor: Lead a high-performing engineering team developing next-gen AI security products in a dynamic, rapidly changing domain. • Drive Value: Work closely with Product and customers to understand business requirements and transform them into robust, high-quality technical solutions. • Cross-Functional Ownership: Collaborate end-to-end with Product, Design, and other R&D teams to execute complex cross-company projects. • Technical Guidance: Provide architectural overview and technical mentorship to your team, stepping in when necessary to guide proper technical decisions and implementations. • Delivery & Quality: Own the execution, quality, and delivery of products running on endpoints and cloud environments in a high-velocity startup environment. Requirements What We’re Looking For • 2+ years of experience in leading software development teams. • 5+ years of hands-on experience in backend development using high-level programming languages. • Strong ownership (accountability), high independence, and ability to manage multiple stakeholders. • Proven ability to guide technical decisions and solutions for complex systems. Nice to Have: • Proven experience with microservices architecture. • Background in cybersecurity / Endpoint Agent development. • experience delivering customer-value-driven products in fast-paced startup environments.

Description Alice is hiring a Senior Software Developer to lead the development of our internal malware research platform. This is a senior, hands-on role with end-to-end ownership of development and delivery. You'll be the technical authority — setting code-quality standards, making the architecture calls, and mentoring the developer team. What makes this role different is who you build for. Our users are our malware researchers, and they use the tool every day. Your job is to sit beside them, learn how they actually work, surface the heuristics and edge cases they carry in their heads, and build agentic tooling that compounds their productivity. The bar isn't "does it ship" — it's "do the researchers reach for it every day." Success is measured in researcher adoption and time saved, not features merged. Agentic workflows are core to how we build. You should be fluent using them and confident designing systems where agents run in production — with clear judgment about where an agent earns its keep versus where deterministic code or a human-in-the-loop is the right call. What You'll Do Lead development and delivery • Own technical execution end-to-end: implementation, code review, and release. • Translate research workflows and feature requests into well-scoped tasks with realistic, risk-aware estimates the team can plan against. • Manage day-to-day execution: unblock people, sequence work, catch problems early. • Set and defend the technical bar: review rigor, testing discipline, documentation, architectural consistency. Partner with the researchers — and amplify them • Embed with malware researchers to understand their workflow and capture the tacit knowledge and edge cases no spec ever wrote down. • Translate that knowledge into reliable agentic tooling — and know when an agent is confidently wrong before it ever reaches a researcher. • Spend roughly 5–10% of your time doing actual malware research (with structured onboarding) to stay close to how the tool is used. • Be willing to tell a researcher when a proposed workflow won't automate well — and explain why. Be the technical authority and mentor • Make the hard architecture and design trade-off calls. • Mentor through code review, pairing, and design discussions. Raise the level of everyone around you. • Dive deep on the critical, difficult features and bug fixes yourself. • Design agentic workflows into the architecture from the start, and build the evaluations and guardrails that keep them trustworthy. Requirements Must-have • 5+ years of software development experience, with a track record of delivering products to production — not just prototypes or POCs. • Strong Python, including async (asyncio), modern typing, and a disciplined testing approach (pytest). • Hands-on Playwright experience in production — not one-off scripts. • Production experience with agentic workflows: building, deploying, and operating LLM-powered systems that plan, call tools, and execute multi-step tasks — using a modern agent framework (e.g., LangGraph, the Anthropic Claude Agent SDK, the OpenAI Agents SDK, or DSPy). • Experience building evaluations and guardrails to measure agent quality and catch regressions before they reach a user (e.g., MLflow GenAI evaluation & tracing, LangSmith, or Braintrust). • Proven experience leading development efforts: estimation, task breakdown, code review, and mentoring. • Experience building tools used internally by expert users (vs. external end-user products), or a clear instinct for the difference. Nice to have • Background in cybersecurity, malware research, threat intelligence, or an adjacent security domain. • Experience with reverse-engineering tools, sandboxes, or malware-analysis pipelines. • RAG and retrieval pipelines (indexing, reranking, grounding) and a vector store (e.g., pgvector). • Cloud-native infrastructure (AWS, Kubernetes), containers (Docker), CI/CD (GitHub Actions), and observability stacks (OpenTelemetry, Grafana / Coralogix or equivalent). 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 Cybersecurity & Trust and Safety | RLGym We are looking for a Director of AI Research & Data Operations to lead and scale RLGym's research and data generation efforts, delivering high-quality training and evaluation data to frontier AI models at scale. This role combines research leadership, data science, and large-scale operational management. You will build and lead multidisciplinary teams of researchers, data scientists, domain experts, and operations specialists, transforming complex research challenges into scalable, high-quality data production systems. The ideal candidate brings experience managing large research and data operations, a strong understanding of modern AI and LLM development, and the ability to deliver high-quality datasets that advance frontier model capabilities, with a particular focus on cybersecurity and trust & safety. What you'll be doing • Lead and scale large AI research and data operations, managing multidisciplinary teams of researchers, data scientists, domain experts, and operational leaders. • Own the end-to-end generation and delivery of high-quality training and evaluation datasets for frontier AI models, ensuring scalability, consistency, and research value. • Define the research strategy, operational roadmap, and data generation priorities across cybersecurity, trust & safety, and emerging AI capabilities. • Build and optimize large-scale data production pipelines, combining human expertise, automated workflows, synthetic data generation, and AI-assisted research. • Establish rigorous data quality frameworks, including validation methodologies, quality assurance processes, benchmarking, and continuous improvement. • Lead research initiatives focused on generating realistic, challenging, and diverse datasets for LLMs, GenAI applications, and agentic AI systems. • Work closely with research, product, engineering, and data science teams to translate frontier model requirements into actionable research programs and scalable data deliverables. • Develop scalable systems for expert-driven data generation, evaluation, annotation, and human feedback, including workflows supporting supervised fine-tuning and reinforcement learning. • Define and track operational and research KPIs, balancing data quality, throughput, cost efficiency, and delivery timelines. • Build partnerships with external researchers, domain experts, and research organizations to expand data generation capabilities and domain expertise. • Drive innovation in data generation methodologies, evaluation benchmarks, and research infrastructure to continuously improve the quality and impact of RLGym's data. Requirements What we need to see • Proven experience leading and scaling large research, data science, AI/ML, or data operations teams. • Strong experience managing complex, high-volume data generation or research operations, with measurable quality and delivery outcomes. • Deep understanding of AI/ML development, LLMs, GenAI, and the role of training and evaluation data in improving model performance. • Experience designing and implementing data quality frameworks, evaluation methodologies, and scalable research workflows. • Ability to translate complex research objectives into structured execution plans and deliver results at significant scale. • Strong analytical and data-driven decision-making skills, with experience defining operational metrics and optimizing research processes. • Experience managing multidisciplinary teams and collaborating with research scientists, engineers, and domain experts. • Strong strategic leadership, operational execution, and cross-functional communication skills. • Familiarity with cybersecurity, AI security, or trust & safety challenges and their relevance to frontier AI model development. • 8+ years of relevant experience in AI/ML, data science, research leadership, large-scale data operations, or related technical fields. Ways to stand out • Experience delivering large-scale training or evaluation datasets to leading frontier AI labs. • Background in human feedback, RLHF, reinforcement learning environments, synthetic data generation, or expert-driven annotation programs. • Experience building data generation platforms, automated evaluation pipelines, or large-scale AI research infrastructure. • Familiarity with cybersecurity and trust & safety datasets, adversarial evaluations, or AI red-teaming methodologies. • Experience developing data quality measurement systems, including automated grading, expert calibration, and statistical quality control. 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 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!