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 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 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, a cutting-edge network security solutions provider, is at an exciting time in its history and is growing fast! At Zero Networks, we cherish the spirit of friendship, growth, excellence, transparency, and perseverance. We are looking for a detail-oriented and proactive AP Bookkeeper to join our Finance team. Reporting directly to the Senior Bookkeeper, this role will be responsible for managing the accounts payable cycle, employee expense processing, vendor payments, reconciliations, and supporting month-end close activities. Responsibilities Accounts Payable & Vendor Management Manage the end-to-end accounts payable process, including invoice review, coding, approvals, and payment execution. Maintain accurate vendor records and support vendor onboarding activities. Ensure timely vendor payments in accordance with agreed payment terms. Monitor accounts payable balances and open items. Reconcile credit card transactions and vendor accounts. Assist with month-end closing activities. Requirements Certified Bookkeeper (Type 2) – required. 3+ years of bookkeeping or accounting experience. Experience working in a hi-tech company – required. Strong understanding of accounts payable processes, reconciliations, and month-end close activities. Experience working with Priority ERP – required. Familiarity with Dokka/Pivot/Ramp, or similar finance and spend management platforms – advantage. Professional working proficiency in English, both written and verbal. Strong attention to detail and organizational skills. Ability to manage multiple priorities and meet deadlines in a fast-paced environment. Team player with a proactive, hands-on approac The ideal candidate is highly organized, service-oriented, and comfortable working in a fast-paced hi-tech environment.

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 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 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.

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

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

Description We are hiring an Engineering Manager to own and grow the Data Science group - the R&D team behind Alice's security and safety AI models and the data platform that powers them. You will lead a multidisciplinary team of ML engineers, data scientists, and software engineers who ship real-time inference at scale, automated red-teaming of GenAI systems, and the Databricks/Spark data platform underneath. This is a hands-on people-leadership role: you set technical direction, are accountable for delivery and quality, and you build and grow the team. What your team owns The group is responsible for a large Python + Rust + PySpark monorepo (dozens of production services and shared libraries) spanning three connected domains: 1. Content-moderation inference at scale Real-time, multi-tenant detection across text, image, video, and audio - hate speech, CSAM, nudity, child grooming, extremism, PII, prompt injection, age estimation, and more - served through an in-house ActiveServe framework over NVIDIA Triton and a Rust detection monolith, on latency-sensitive, SLA-bound, customer-facing traffic with per-customer custom models. 2. GenAI safety & red-teaming Automated red-teaming that attacks customers' LLM applications with a research-driven attack taxonomy and measures attack-success rate, alongside the defensive side - LLM-as-judge escalation to cut false positives and the tooling that authors and refines moderation policies - built on a multi-provider LLM foundation (Bedrock, Anthropic, OpenAI, Gemini, xAI Grok) and forming Alice's leading edge into agentic-AI safety. 3. Data platform & MLOps An end-to-end lakehouse and MLOps stack on Databricks - bronze/silver/gold ingestion, PySpark pipelines, and model training, versioning, and promotion through MLflow / Unity Catalog into Triton serving - with the performance-critical hot paths engineered in Rust (PyO3/maturin) for sub-millisecond, high-QPS matching and detection. What you'll do • Lead and grow the team - mentor ML engineers, data scientists, and software engineers, and own hiring, onboarding, 1:1s, career development, and performance. • Set direction and deliver - set technical direction and standards, turn company and product goals into a prioritized roadmap, and own the quality, reliability, and delivery of the systems above across parallel workstreams. • Champion excellence and partnership - stay hands-on to review designs and unblock the team, drive engineering excellence (testing, observability, CI/CD, on-call, cost/latency), keep the team at the state of the art in ML, LLMs, and GenAI safety, and partner with Product, Platform, and GenAI-safety stakeholders. Leadership competencies • People-first: builds trust, grows engineers, and creates a healthy, inclusive, high-ownership culture. • Outcome-oriented: drives clarity, sets priorities, and delivers under ambiguity without micromanaging. • Technical credibility: earns the team's respect through sound judgment on architecture and trade-offs. • Systems thinker: balances short-term delivery against long-term platform health, cost, and tech debt. Requirements What we're looking for (must-have) • Leadership & communication - a proven people manager of engineering or data-science teams (or a strong tech lead ready to step into formal management), with excellent communication and stakeholder management. • Hands-on engineering and ML at scale - strong production Python and software-engineering background with solid ML / data-science foundations (training, evaluation, deployment, monitoring), running services at scale on AWS and Kubernetes and large-scale data on Spark/PySpark and a lakehouse (Databricks or equivalent). • AI-augmented engineering - deep, daily fluency with an AI coding assistant (Claude Code, Cursor, or Codex), with the judgment to raise the whole team's leverage and set how these tools are used well. Nice to have • Experience with LLMs / GenAI in production - prompting, evaluation, guardrails, red-teaming, or agentic systems. • Experience with model serving on NVIDIA Triton (or similar) and the MLflow / Unity Catalog lifecycle. • Familiarity with Rust and Python/Rust interop (PyO3/maturin) for performance-critical paths. • Background in GenAI safety and security, content moderation, or another domain where model quality has real-world stakes. • Experience with event-driven architectures (Kafka, SQS) and Infrastructure-as-Code (Terraform). About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

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

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

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

Description 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 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!