Jobs in Ramat Gan

Description Zero Networks, an innovative network security solutions provider, is at an exciting time in its history and is growing fast! We are looking for a highly skilled and versatile Backend Engineer to join our development team. As a Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and components of our platform. As part of your role, you will also work on the frontend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance. Responsibilities • Design, develop, and maintain backend systems and APIs to support our web applications. • Implement and optimize data storage solutions, including databases, to ensure efficient and reliable data management. • work closely with front-end developers to integrate backend functionalities and ensure a seamless user experience. • Collaborate with product managers, stakeholders, and cross-functional teams to gather requirements, translate them into technical specifications, troubleshoot and resolve backend-related issues, and optimize system performance. Requirements • Bachelor's degree in computer science, Software Engineering (or equivalent work experience). • 3+ years of experience as a software engineer with hands-on production experience working in the backend side of complex systems. • Strong proficiency in at least one backend programming language (e.g., Go, C#) and associated frameworks. • Hands-on experience in the following technology stack: Kubernetes & Helm, Frontend experience, NodeJS (Typescript), Elasticsearch. • Experience with relational databases (PostgreSQL- advantage), and ability to design efficient schemas and write optimized queries. • Strong problem-solving skills and ability to work both independently and as part of a team. • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. • Low-level understanding of network protocols and Windows internals- advantage. • Experience with cloud services (GCP/AWS/Azure)- advantage. Zero Networks is committed to fair and equitable compensation packages. A candidate’s salary will be based on qualifications, relevant experience, and work location. In addition to a competitive salary, our packages include stock options, attractive benefits, and an annual bonus (for non-commissioned roles).

Description Zero Networks, an innovative network security solutions provider, is at an exciting time in its history and is growing fast! We are looking for a highly skilled and versatile Senior Technical Product Manager to join our product team. Responsibilities Description • Define product specifications, user stories, and acceptance criteria. • Prioritize and manage the product backlog, balancing business priorities with technical constraints. • Work closely with Engineering and QA to ensure successful product delivery. • Partner with engineering to evaluate technical tradeoffs across platforms and operating systems and prioritize based on customer and business impact • Translate complex technical and customer requirements into clear product specifications. • Own performance and resource-footprint requirements for the agent across diverse system environments • Act as the technical point of contact across engineering, customer engineering, sales, and customers on endpoint-related topics • Define product roadmap based on customer needs, market trends, and technical opportunities. • Conduct competitive analysis and identify opportunities for product innovation. • Stay current with emerging technologies and cybersecurity trends. Requirements Requirements • 5+ years of relevant work experience as product managers in the cybersecurity industry. • Bachelor's degree in computer science, Engineering or a related field – an advantage • Strong technical background with a deep understanding of network security concepts and technologies with strong emphasis on OS and Networking knowledge • Working knowledge of native OS firewall/filtering architectures across at least two of the following: Windows (WFP/Windows Firewall), Linux (iptables/nftables/netfilter), macOS (PF/Network Extension framework); experience with AIX or other legacy Unix filtering (IPFilter/IPsec) a strong plus • Experience defining requirements for agent-based/endpoint software, including deployment, update/rollback mechanics • Solid grounding in networking fundamentals (L3/L4, stateful vs. stateless filtering, NAT) and how they apply to policy enforcement • Comfortable reading API and other forms of technical documentation and collaborating with engineering on integration points • English – excellent writing skills – a must • Strong problem-solving skills and ability to work both independently and as part of a team • Technical background as a Developer – an advantage • Experience in IT systems/ network - big advantage

Description Zero Networks, an innovative network security solutions provider, is at an exciting time in its history and is growing fast! We are looking for a highly skilled and versatile Senior Backend Engineer to join our development team. As a Senior Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and components of our platform. As part of your role, you will also work on the frontend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance. Responsibilities • Design, develop, and maintain backend systems and APIs to support our web applications. • Implement and optimize data storage solutions, including databases, to ensure efficient and reliable data management. • work closely with front-end developers to integrate backend functionalities and ensure a seamless user experience. • Collaborate with product managers, stakeholders, and cross-functional teams to gather requirements, translate them into technical specifications, troubleshoot and resolve backend-related issues, and optimize system performance. Requirements • Bachelor's degree in computer science, Software Engineering (or equivalent work experience). • 5+ years of experience as a software engineer with hands-on production experience working in the backend side of complex systems. • Strong proficiency in at least one backend programming language (e.g., Go, C#) and associated frameworks. • Hands-on experience in the following technology stack: Kubernetes & Helm, Frontend experience, NodeJS (Typescript), Elasticsearch. • Experience with relational databases (PostgreSQL- advantage), and ability to design efficient schemas and write optimized queries. • Strong problem-solving skills and ability to work both independently and as part of a team. • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. • Low-level understanding of network protocols and Windows internals- advantage. • Experience with cloud services (GCP/AWS/Azure)- advantage. Zero Networks is committed to fair and equitable compensation packages. A candidate’s salary will be based on qualifications, relevant experience, and work location. In addition to a competitive salary, our packages include stock options, attractive benefits, and an annual bonus (for non-commissioned roles).

Description We are looking for a highly skilled and motivated Software Team Lead to drive the technical direction of our development team while maintaining a substantial hands-on contribution. This role involves leading the team, hiring top talent, and ensuring the successful delivery of high-quality software solutions. Responsibilities • Technical Leadership: Guide the team in designing, developing, and maintaining robust cybersecurity solutions using Golang, C#, and Python. • Hands-On Development: Write high-quality, scalable, and secure code (50% of the time). • Team Management & Growth: Hire, mentor, and grow a team of talented engineers to build innovative cybersecurity products. • Code Reviews & Best Practices: Ensure high code quality through reviews, technical mentorship, and the enforcement of best practices. • Collaboration: Work closely with product managers, security researchers, and other stakeholders to define and deliver features. • Technical Roadmap: Contribute to architectural decisions and shape the future of the company's technology stack. Requirements • 7+ years of software development experience, with expertise in at least one of the following: Golang, C# • 1-2 years of experience leading a team or mentoring developers in a fast-paced environment. • Strong problem-solving skills and ability to work in a dynamic startup environment. • Experience with secure coding practices and familiarity with cybersecurity concepts is a plus. • Ability to recruit, onboard, and develop engineering talent. • Excellent communication and leadership skills. Nice to have • Experience with cloud platforms (AWS, Azure, GCP). • Knowledge of networking and cybersecurity principles. • Familiarity with DevOps and CI/CD pipelines.

Description Zero Networks aims to protects tens of thousands of OT devices worldwide by managing enterprise switches directly. We're evolving how we integrate with switches - moving toward more modern network management protocols and a wider range of vendors. You'll own that integration layer end-to-end - backend services and the networking know-how behind them. Responsibilities • Design and build the software that talks directly to enterprise network switches: real devices, real production networks, real impact. • Push the boundaries of how we manage devices at scale: new protocols, new vendors, better abstractions. • Build the cloud backend that turns raw device data into something powerful (Go/C#, gRPC, PostgreSQL). • Solve hard, unglamorous distributed-systems problems: concurrency, reliability, scale - with code that ships to production and protects real infrastructure Requirements • 3-5 years as a backend engineer, proficiency in at least one of Go/C#/Java/C++. • Networking knowledge: L2/L3, VLANs, routing, TCP/IP, ACLs. • Hands-on experience automating network devices - SSH/CLI, NETCONF, RESTCONF, SNMP, gNMI, Netmiko/NAPALM, or similar. • Comfort with concurrent code that has to survive flaky real-world network conditions Nice to Have • Multi-vendor network experience (Cisco, Aruba, and others). • Cloud experience (GCP/AWS/Azure) and microservices/gRPC. • Experience with flow-based telemetry protocols (IPFIX, NetFlow, sFlow). Tech Stack Go, C#, PostgreSQL, gRPC, GCP, microservices, and standards-based network management protocols.

Description Directeam empowers startups to scale their AWS infrastructure efficiently through our premier FinOps ecosystem. We combine our flagship automated savings engine, Sombrero Savings, with our latest innovation: a real-time, AI-powered FinOps, SRE, and cloud architecture platform designed to help engineering teams analyze, investigate, and optimize their AWS environments. As a premier AI-native AWS Partner, we go beyond simple cost management. We provide a strategic advantage that converts cloud inefficiency into business runway. Our solutions deliver significant market impact. Our AI-driven services have been widely adopted across our client base, achieving an average monthly cost reduction of over 30% and positioning us as a leader in cloud optimization. The Head of Operations serves as the CEO’s primary execution partner. This role is responsible for transforming company strategy into measurable execution, ensuring accountability across departments, and building the operating system that enables scale. The role owns company-wide execution, strategic initiatives, operational excellence, and cross-functional alignment. Requirements • Build & Manage the Operating System: Design and scale the company’s operational framework to support rapid organizational maturity. • Drive Strategic Execution & Alignment: Turn high-level strategy into flawless execution while building cross-functional accountability across departments. • Embed AI-Driven Efficiency: Champion an AI-first internal culture, integrating advanced AI tools and automated workflows to eliminate manual operational overhead. • Own Metric Frameworks: Design and institutionalize company-wide KPI and OKR systems to drive data-backed decision-making. • Provide Executive Leverage: Establish rigorous reporting protocols and business reviews to optimize executive bandwidth. • Lead Special Initiatives: Spearhead high-stakes, cross-functional projects directly alongside the CEO. What We’re Looking For • 7+ years in Operations, Strategy, Consulting, or Business Leadership; 3+ years leading high-impact, cross-functional initiatives. • Proven track record working directly with Founders/CEOs as a trusted execution partner. • Demonstrated success scaling organizations and building lean processes from the ground up. • Practical experience identifying and integrating generative AI platforms and automation tools to optimize workflows. • Bachelor’s degree in Business, Engineering, Economics, Finance, Law, or Computer Science. An MBA is highly advantageous. Must-Haves • Strategic Planning, KPI/OKR Design, Process Automation, Financial Acumen, and Data Analysis. • An innate drive to leverage AI and technology to replace manual effort. • Extreme ownership, high urgency, executive presence, and the ability to simplify chaos. • Native or entirely fluent English (written and verbal). Advantages • Experience within the AWS ecosystem, FinOps, or high-growth SaaS startups. • Professional background in Tier-1 management consulting. • Hands-on proficiency with HubSpot and Business Intelligence (BI) tools. Our office is located at Beit Gibor Sport Tower, Ramat Gan, near Tel Aviv Savidor Central railway station.

Description Directeam empowers startups to scale their AWS infrastructure efficiently through our premier FinOps ecosystem. We combine our flagship automated savings engine, Sombrero Savings, with our latest innovation: a real-time, AI-powered FinOps, SRE, and cloud architecture platform designed to help engineering teams analyze, investigate, and optimize their AWS environments. As a premier AI-native AWS Partner, we go beyond simple cost management. We provide a strategic advantage that converts cloud inefficiency into business runway. Our solutions deliver significant market impact. Our AI-driven services have been widely adopted across our client base, achieving an average monthly cost reduction of over 30% and positioning us as a leader in cloud optimization. The Role We are seeking a Senior Agentic AI Engineer (AWS/DevOps) with extensive hands-on AWS and DevOps expertise to translate cloud operational excellence into a robust production product. In this role, you will develop the backend systems and agentic workflows that analyze cloud costs, reliability, security, logs, and architectural risks. While prior GenAI experience is an advantage, we prioritize strong cloud judgment, backend engineering excellence, and the curiosity to build agentic systems from the ground up. Requirements • Architect and build the agentic systems powering our FinOps, SRE, and cloud architecture solutions. • Design and implement agents capable of investigating AWS environments, complex cloud data, and delivering insights. • Encode deep AWS operational expertise, spanning IAM, networking, and management into agent tools, decision logic, and retrieval systems. • Develop the backend platform to support production-grade agents, focusing on AWS integrations. • Iteratively improve agent performance based on production feedback, analysis, and customer usage patterns. • Maintain full ownership of the product lifecycle, from initial design through deployment and long-term iteration. • Collaborate with product and engineering teams to transform real-world cloud challenges into dependable, automated capabilities. What we’re looking for Must have • 7+ years of hands-on AWS or DevOps experience in production-scale environments. • 2+ years of backend development experience, with a proven track record of building and operating production systems. • Deep technical proficiency in AWS services, cloud networking, and security best practices. • Strong backend engineering skills, ideally with Python and native AWS services. • Experience architecting APIs, asynchronous jobs, and complex data-processing workflows. • Proficiency in designing for resilience, including observability, and robust error handling. • Ownership mindset with the ability to navigate and drive customer outcomes. • Excellent communication skills and a collaborative approach to problem-solving. Nice to have • Experience building GenAI applications, LLM workflows, RAG systems, or evaluation pipelines. • Familiarity with tool calling, agent orchestration, and prompt engineering. • Proficiency with Infrastructure as Code (Terraform), CI/CD, and Kubernetes. • Background in cloud cost optimization, SRE practices, or security automation. • Experience thriving in high-growth startup environments. • Degree in Computer Science or equivalent practical engineering experience. Location: Beit Gibor Sport Tower, Ramat Gan (near Tel Aviv Savidor Central Station).

Description Directeam empowers startups to scale AWS efficiently through our premier FinOps ecosystem. We combine our flagship automated savings engine, Sombrero Savings, with our latest breakthrough: a Real-Time AI FinOps Agent. As a top-tier AI-Native AWS Partner, we don’t just manage costs, we turn cloud waste into business runway. Our AI-backed service is already live across our client base, cutting monthly cloud costs by an average of over 30%. This is what makes us the category leader in cloud optimization, and we’re just getting started. We’re looking for an Assistant Controller to be the right hand of our VP Finance. You’ll run the day-to-day finance operations of a fast-growing company: month-end close, expense control, collections and vendor payments. You’ll also use AI tools to build and automate the processes around them. This is a hands-on role with real ownership, where your work directly shapes how the business runs and your path toward Controller is built into the job. What You’ll Do • Support and run the month-end close, including journal entries, reconciliations and accruals. • Control expenses, monitor actuals against budget and flag deviations early. • Track open invoices, follow up with customers and report aging. • Manage the vendor payment cycle end to end. • Perform compliance controls and make sure documentation is in order. • Ensure data accuracy across billing, bookkeeping and finance systems. • Spot inefficiencies, then build and automate processes using AI tools instead of repeating manual work. • Work closely with the VP Finance, Bookkeeper, Billing Operations and other teams across the company. Requirements • Licensed CPA (internship completed). • Up to 2 years of experience in a CPA firm or a hi-tech company. • Hands-on experience with month-end close. • Excellent English, written and spoken. • Proficiency in Google Workspace. • Ability to build and improve processes using AI. • Precise and detail-oriented, with accuracy in data validation. • Independent and proactive, with a habit of improving things before anyone asks. • Strong interpersonal skills. • Works well under pressure: a fast, self-driven learner. Advantages • Big 4 background. • Familiarity with Priority ERP. • Creative approach to problem solving. Our office is located at Beit Gibor Sport Tower, Ramat Gan, near Tel Aviv Savidor Central railway station.

Description Directeam helps startups scale on AWS efficiently, and increasingly helps them build with AI. As an AWS Premier Partner and an Anthropic partner, we combine our flagship automated savings engine, Sombrero Savings, with our latest breakthrough: a Real-Time AI FinOps Agent. We don't just manage costs, we provide a strategic advantage that converts cloud waste into business runway. Our AI-backed service has already been adopted across our client base, delivering an average monthly cost reduction of more than 30%. We are bootstrapped, profitable and growing fast, and we work with leading Israeli tech companies across cyber, fintech, sports-tech, AI and SaaS, from pre-seed to growth stage. We're looking for a Senior Solutions Architect (AI-Native Cloud) to be the trusted technical advisor for a portfolio of startups: designing their cloud and AI architectures, helping them run those architectures reliably and cost-efficiently, and putting generative AI and agents into production, not just into demos. About 80% of the role is customer-facing. This is a hands-on role working alongside a small team of senior architects, our Account Managers, and AWS and Anthropic field teams. What You'll Do • Own the technical relationship with your customers. Lead discovery and architecture review sessions, turn business goals into concrete AWS designs, and act as the escalation point for their hardest production problems. • Design and build cloud-native architectures, from greenfield to modernization, that are highly available, secure and cost-effective, using the AWS Well-Architected Framework, including the Generative AI Lens. • Architect GenAI and agentic solutions on AWS: RAG and knowledge systems, AI agents and multi-agent workflows, and LLM-powered product features, using building blocks such as Amazon Bedrock (including Claude models), Bedrock AgentCore, Knowledge Bases and Guardrails, vector stores (OpenSearch, pgvector, S3 Vectors) and MCP-based tool integrations. • Take AI from POC to production. Define evaluation, observability, security and governance for LLM workloads (prompt-injection risk, data privacy, IAM and least privilege for agents), and keep inference cost and latency under control. • Bring the FinOps mindset to everything, including AI. Run cost-optimization sessions, right-size compute and inference (model selection, prompt caching, batch, provisioned throughput), and connect customers to Sombrero Savings and our AI FinOps Agent. • Work AI-native yourself. Use AI coding and agent tools such as Claude Code, Kiro or Amazon Q Developer to speed up IaC, reviews, migrations, troubleshooting and documentation, and help customers' engineering teams adopt the same practices. • Write SOWs and plans that hold up. Scope work realistically, separate what matters from what doesn't (80/20), and hand over cleanly to delivery teams. • Drive growth with the account team. Spot opportunities proactively, including AI use cases, modernization, migration and AWS funding programs, before the customer has to ask. • Build thought leadership. Write blogs, run workshops, webinars, meetups and hands-on AI enablement sessions, and turn repeated field solutions into reusable playbooks, Terraform modules and reference architectures. • Feed the product. Bring field insight back into our FinOps products and internal AI tooling, and influence how they evolve. Requirements • 5+ years with cloud technologies, including 3+ years designing and running production systems on AWS. • 3+ years as a tech lead or architect for large-scale, production-grade products, ideally in a customer-facing role (Solutions Architect, Cloud Architect, consulting). • Proven expertise in designing, analyzing and troubleshooting large-scale distributed systems, including networking, security best practices and Linux. • Hands-on GenAI experience on AWS: you have built at least one LLM-based solution that reached real users (RAG, agent or AI feature), preferably with Amazon Bedrock, and you understand its architecture, cost and failure modes. • Working knowledge of agentic patterns: tool use and function calling, MCP, orchestration, memory, guardrails and evaluation. • Software development skills in Python and/or TypeScript, Go or Java. Read and write code, not only diagrams. • Infrastructure as Code (Terraform or CDK) and CI/CD. • Daily use of AI-assisted development tools (e.g. Claude Code, Kiro, Cursor, Amazon Q Developer), with good judgment about when to trust them. • Excellent verbal and written communication in Hebrew and English. Advantages • Kubernetes / EKS and its ecosystem (Karpenter, KEDA, ArgoCD), and serverless architectures. • Data platforms and databases (SQL, NoSQL, data lakes; Glue, Athena, Redshift, OpenSearch). • FinOps experience: CUR analysis, Savings Plans / RIs, cost-aware architecture, AI inference cost modeling. • Amazon SageMaker, model fine-tuning, or self-hosted open-source models on GPU (vLLM, Inferentia/Trainium). • AI observability and evaluation tools (e.g. Langfuse, LangSmith, Bedrock evaluations) and agent frameworks (Strands Agents, LangGraph, Claude Agent SDK). • Certifications: AWS Solutions Architect Professional, AWS Machine Learning / AI Practitioner, Claude Certified Architect. • Experience designing SaaS / multi-tenant platforms, and a good understanding of the startup ecosystem. Our office is located at Beit Geibor Sport Tower, Ramat Gan, near Tel Aviv Savidor Central railway station.

תיאור לחברת תוכנה מובילה הממוקמת במתחם הבורסה ברמת גן, דרוש/ה רכז/ת בק-אופיס טכנולוגי למחלקת שירות ותמיכה במערכות ענן. מדובר בתפקיד אדמיניסטרטיבי-טכנולוגי מרכזי, הכולל עבודה עצמאית, ממשק ישיר מול לקוחות חדשים וסיוע בניהול המחלקה. אין צורך ברקע טכני קודם – הכשרה מלאה תינתן על חשבון החברה! משרה מלאה ממשרדי החברה, ימים א'-ה', בין השעות 09:00-18:00. במסגרת התפקיד תהיו אחראים על התחומים הבאים: – בקרת תהליכים: ביצוע בקרה שוטפת על עבודת הנציגים לוודא הקמת לקוחות חדשים במערכות החברה בהתאם לנהלים. – ליווי לקוחות חדשים: יצירת קשר עם לקוחות בהליך ההצטרפות, תיאום אספקה ויכולות מערכת, עדכונים שוטפים ובדיקת שביעות רצון. – תמיכה ניהולית: סיוע למנהלת המחלקה בהפקת דוחות, משימות אדמיניסטרטיביות מגוונות וניהול שוטף. דרישות – תודעת שירות גבוהה, אהבת אדם ויכולת שמירה על קור רוח וחיוך בסביבה דינמית. – אסרטיביות, קפדנות וחדות מחשבה. – זיקה ויכולת להשתלב בסביבה טכנולוגית (רקע טכני – יתרון, אך לא חובה). – נכונות לעבודה עצמאית לצד עבודת צוות. – המשרה מיועדת לנשים וגברים כאחד.

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

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

Description As System Validation engineer, you will play a crucial role in designing, testing, and troubleshooting Analog circuits within a laboratory setting. Your expertise in Analog electronics and proficiency in operating laboratory equipment will contribute to the development of cutting-edge products. Requirements Qualifications: Educational Background: BSc in Electrical Engineering Professional Experience: • Minimum 5 years of experience in test development, debugging, and reporting for mixed-signal Integrated Circuits (ICs). Technical Expertise: • Lab Equipment Proficiency: Extensive hands-on experience with a variety of lab equipment, including but not limited to: • Digital Multimeters • Source Meters • Spectrum Analyzers • Signal Generators • High speed Oscilloscopes • Power Supplies • Logic Analyzers • Bit Error Rate Testers (BERT) • Arbitrary Waveform Generators (AWG) • PCB Review: Reviewing expertise in PCB schematic design using OrCAD and layout design using Allegro for analog and mixed-signal applications, including FPGA-based designs. • Automation and Analysis: Skilled in test automation and utilizing data analysis platforms. • Coding Skills: Good coding and scripting abilities in languages such as C/Python/Matlab • Analog Circuit Design: Experience in analog circuit design. • Component Testing: Proven track record in testing critical components such as Phase-Locked Loops (PLL), Delay-Locked Loops (DLL), Serializer/Deserializer (SERDES), Low-Dropout Regulators (LDO), Analog-to-Digital Converters (ADC), Digital-to-Analog Converters (DAC), and voltage references. • Communication and Leadership: Strong communication and interpersonal skills. Demonstrated leadership abilities for driving cross-functional test plans and debug activities. Advantageous Skills: • Signal Integrity (SI) / Power Integrity (PI): Familiarity with SI/PI debug and check. • Optical Interconnect System: Familiarity with optical interconnect systems, including components such as optical transceivers, fiber optics, and photodetectors. • Fast SerDes Interfaces: Experience with high-speed Serializer/Deserializer (SerDes) interfaces, including design, testing, and performance optimization. • Coding Skills: Perl, Tcl, etc.

Description We are looking for an experienced, hands-on System Integration Engineer focused primarily on full optical-module integration and testing with various customer platforms. The role also covers bring-up and debugging from the silicon and board level to DSP and complete system solutions. It combines laboratory work, root-cause investigation, intermediate Python/MATLAB automation, and cross-functional collaboration. Requirements Responsibilities • Execute PCB bring-up procedures and validate boards for ASIC revisions. • Validate EVBs, reference designs, and optical modules. • Perform full optical-module testing and integration with customer platforms. • Develop and execute validation plans, test procedures, and regression tests. • Debug complex hardware, firmware, and system-level issues. • Validate power, clock, reset, and high-speed interfaces, including SerDes and optical links. • Develop Python/MATLAB automation for validation, characterization, and regression testing. • Operate and automate laboratory measurement equipment. • Analyze BER, eye quality, signal integrity, power consumption, and thermal behavior. • Work with hardware, firmware, and software teams to resolve system issues. • Characterize analog blocks, DACs, ADCs, PLLs, power supplies, and monitoring circuitry. • Review schematics and identify board-level issues. • Prepare validation reports and document debugging findings. • Support customer evaluations and reproduce customer-reported issues. • Prepare and deliver product demonstrations for customers. • Collaborate with customers, external partners, and vendors during integration activities. Required Qualifications • B.Sc. in Electrical Engineering or equivalent. • 6+ years of experience in hardware, system validation, or system integration. • Strong laboratory skills and experience with electronic measurement equipment. • Experience debugging complex electronic systems. • Intermediate Python proficiency for automation and data analysis. • Good understanding of digital interfaces and embedded systems. • Experience in digital signal processing (DSP) and communication systems. • Familiarity with power sequencing, voltage regulators, clocks, and reset architectures. • Ability to read schematics and perform board-level debugging. • Strong analytical and problem-solving skills. • Excellent communication and documentation skills. • Fluent English. • Availability to work fully on-site, five days per week. Preferred Qualifications • Experience with high-speed interfaces such as PCIe, Ethernet, and SerDes. • Experience with coherent optical DSPs. • Familiarity with CMIS, OIF, or OpenROADM specifications. • Understanding of Signal Integrity and Power Integrity. • Experience validating mixed-signal ASICs. • Experience with analog calibration techniques. • Experience with MATLAB/Python. • Experience working in multidisciplinary engineering teams. Personal Attributes • Hands-on and proactive. • Curious and driven to investigate root causes. • Strong ownership and accountability. • Excellent teamwork and communication skills. • Able to manage multiple activities in a fast-paced environment. • Detail-oriented, with a systematic approach to debugging.

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 מזמינים אותך להצטרף לנבחרת המנצחת של בנק דיסקונט! בנק דיסקונט מגייס בנקאים ובנקאיות לסניפי הבנק ברחבי הארץ. התפקיד כולל: מתן שירותים בנקאיים מקיפים ללקוחות הבנק, ביצוע פעולות שיווק ומכירה של מוצרי הבנק, טיפול בדוחות פנימיים, גיוס לקוחות חדשים והרחבת פעילות, ועוד. הזדמנות להשתלב בארגון מוביל ויציב, לבנות קריירה עם אופק מקצועי ולהנות מסל הטבות ופינוקים! • הכשרה פיננסית מקיפה בשכר מלא • מסלולי למידה והתפתחות רבים • העסקה כעובד.ת בנק מהיום הראשון - ללא תקופה קצובה מראש • משרה מלאה, 5 ימים בשבוע. בימים שני ורביעי - העבודה הינה גם בשעות אחה"צ. Requirements • תואר ראשון - חובה • תודעת שירות גבוהה, ייצוגיות • יכולת עבודה בצוות ובאופן עצמאי • ארגון, סדר ועבודה ע"פ נהלים

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 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!