Jazz

Description DLP's rule-based framework is broken. We asked machines to find problems with rigid rules, then expected humans to investigate the noise - an impossible task. Jazz is the new model. It starts with total coverage from a forensic endpoint agent and uses a powerful Agentic Investigator that learns your business. It delivers clear, pre-investigated answers instead of alerts, and is designed to be run by a single person. Finally, DLP that works. We are looking for a Senior Low-Level Engineer to build the core technology that powers our endpoint intelligence. This role focuses on developing and owning critical capabilities within our Windows and macOS agents, from early research and proof of concept through production deployment. This is an early-stage, high-impact role where engineers take full ownership, move quickly, and shape foundational systems. What You’ll Do: • Design and develop core capabilities for our Windows, Linux, and macOS agents from early research and proof of concept through production deployment. • Explore new technical approaches, prototype solutions, and translate ideas into reliable and secure production code. • Own features E2E and integrate agent capabilities with backend systems and product workflows. • Build performant and reliable components that operate at the OS level and handle complex system interactions. • Ensure strong observability, performance, and stability across agent behavior in production environments. • Collaborate closely with backend, product, and security teams to deliver capabilities that support real-world security investigations. What We’re Looking For: • +6 years hands-on experience with low-level programming in languages such as Go, C, C++, or Swift, with a deep understanding of systems programming. • Strong knowledge of operating system internals and system-level development. • Experience building endpoint agents, system extensions, or similar low-level software. • Experience working with Windows, Linux, and macOS environments. • Experience with reverse engineering and analyzing system behavior. • Experience with Rust is an advantage. • Demonstrated technical curiosity through projects, CTFs, competitions, or other hands-on technical activities. • Ability to work independently, move quickly, and take ownership of complex technical challenges. Why join Jazz? • Work on cutting-edge AI + cybersecurity challenges. • Architect systems with massive technical depth and scale. • High ownership and autonomy in an early-stage environment. • Direct impact on product outcomes and engineering decisions. • Collaborate with elite engineers and founders who have built large-scale systems before. Our office is located at Sonol Tower, Tel Aviv, next to Carlebach rail station.

Description DLP's rule-based framework is broken. We asked machines to find problems with rigid rules, then expected humans to investigate the noise - an impossible task. Jazz is the new model. It starts with total coverage from a forensic endpoint agent and uses a powerful Agentic Investigator that learns your business. It delivers clear, pre-investigated answers instead of alerts, and is designed to be run by a single person. Finally, DLP that works. Founded in 2024 and backed by leading cybersecurity VCs, we are already deployed with customers worldwide and growing quickly. We're a team obsessed with solving hard problems the right way, and we're looking for builders to join us. We’re now looking for a world-class Senior Software Engineer to help architect and build the core systems behind our AI security engine. As part of our AI Cybersecurity team, you’ll design and build the infrastructure and agent workflows that power Jazz’s security platform. This is a full-lifecycle engineering role, covering backend systems, AI agent development, and product integration, with a focus on building workflows that are reliable, scalable, and production-ready. What You’ll Do: • Architect and build backend infrastructure powering secure, scalable AI workflows. • Develop core systems for multi-agent reasoning, retrieval pipelines, and tool execution. • Productionize AI models and agent workflows with strong reliability and performance guarantees. • Integrate AI services across the product stack, from backend APIs to user-facing workflows. • Own systems end-to-end: design, implementation, deployment, monitoring, and iteration. • Apply secure engineering principles across everything you build, from APIs and data flows to infrastructure and deployment. What We’re Looking For: • 6+ years of experience in backend engineering, with strong proficiency in Python and data-intensive distributed systems. • Deep hands-on experience with relational and NoSQL databases (PostgreSQL, Redis, etc.), including schema design, query optimization, indexing strategies, and scaling for high-throughput workloads. • Experience building and operating vector search and retrieval pipelines in production (pgvector, Pinecone, Weaviate, Qdrant, or similar), including embedding generation, indexing (HNSW/IVF), and relevance tuning. • Experience building and operating scalable, reliable backend infrastructure (FastAPI, Kafka/Redis, Docker/Kubernetes, observability). • Solid understanding of secure software design, including safe API development, data protection, and security-oriented engineering practices. • Ability to own features end-to-end, from data modeling and architecture through implementation, deployment, monitoring, and ongoing improvements. • Familiarity with LLM/AI concepts (agents, RAG, semantic search) and the ability to integrate these components with production data systems. Why Join Jazz? • Work on cutting-edge AI + cybersecurity challenges. • Architect systems with massive technical depth and scale. • High ownership and autonomy in an early-stage environment. • Direct impact on product outcomes and engineering decisions. • Collaborate with elite engineers and founders who have built large-scale systems before. Our office is at Sonol Tower in Tel Aviv, next to Carlebach train station.

Description Legacy DLP was built on rigid rules, and security teams pay for it in noise, blind spots and endless investigation work. Jazz replaces that model. A lightweight endpoint agent (less than 1% CPU, no browser extension) captures how data actually moves across an organization, including GenAI prompts, clipboard activity, screenshots and personal cloud uploads. Melody, our Agentic Investigator, then investigates each potentially risky data flow across four dimensions: the data, the systems, the people and the business. Customers get pre-investigated incidents instead of alert queues. In a typical 30-day deployment, Jazz processes 2M signals and surfaces around 80 SOC-ready incidents. Jazz won the 2026 CrowdStrike / AWS / NVIDIA Startup Nest, and we are growing the research team that shapes how Melody understands our customers. About the role As a Data Protection Security Researcher, you will own the data protection programs of our customers from the research side and be directly responsible for the quality of Melody's investigations. You will work with Melody to learn each customer's business workflows, find where her verdicts are wrong or incomplete, and improve precision and recall across our whole customer base. You will sit between customers, Customer Success, Product and R&D, and turn what you see in real environments into measurable improvements in detection quality. What you'll do • Manage DLP programs for a portfolio of customers: onboard them, share business context with Melody, review investigated incidents, and run regular program reviews with their security teams. • Own Melody's detection quality. Define, measure, and improve precision and recall per customer and across the platform. • Analyze missed detections and incorrect verdicts, find the root cause (data understanding, system context, user behavior or business context), and drive the fix with Product and R&D. • Build and maintain labeled evaluation datasets and benchmarks for data exfiltration scenarios, including GenAI usage, insider risk, departing employees, secrets sprawl, and regulated data (PII, PHI, PCI). • Write Python and SQL to explore customer telemetry, quantify detection gaps, and automate quality analysis and reporting. • Research new data loss vectors and attacker techniques, and translate them into scenarios Melody should understand. • Act as a DLP and SOC subject matter expert for customers and for internal teams. What you need to have • 3+ years of hands-on experience with DLP: designing, operating, or managing DLP programs (for example, Microsoft Purview, Forcepoint, Symantec, Netskope, Digital Guardian, Code42, or similar). • SOC experience: triaging and investigating security events, incident response, and working with SIEM or XDR tools. • Strong Python for data analysis and automation (pandas or similar). • Strong SQL for querying and analyzing large datasets. • A solid grasp of detection quality metrics (precision, recall, false positives, and false negatives) and how to improve them in practice. • Understanding of data protection regulations and frameworks such as GDPR, HIPAA, PCI DSS, SOX, or FERPA. • Comfort working directly with customers and clearly explaining findings to both analysts and CISOs. • Fluent in English, written and spoken. Why join Jazz? • The norms you make in your first six months are the ones Jazz lives with. Join a small, senior team building a new category of DLP. • Direct impact on the core of the product: your work decides how well Melody understands customers. • Exposure to real data protection problems across many industries, from healthcare and education to finance. • AI-native! Our product is built on agentic AI and so is the way we work. Heavy AI use isn't tolerated here, it's the expectation. • Stage and backing. $61M from Glilot and Team8, out of stealth in March 2026, founded by Unit 81 veterans who have built and scaled security products before. Early enough that ownership is real, funded enough that the runway is too. • A team worth joining. Our office is at Sonol Tower in Tel Aviv, next to Carlebach train station.

Description DLP's rule-based framework is broken. We asked machines to find problems with rigid rules, then expected humans to investigate the noise - an impossible task. Jazz is the new model. It starts with total coverage from a forensic endpoint agent and uses a powerful Agentic Investigator that learns your business. It delivers clear, pre-investigated answers instead of alerts, and is designed to be run by a single person. Finally, DLP that works. We are seeking a Senior AI Engineer to build the intelligence layer for Jazz. In this role, you will solve core product challenges involving large language models and highly imbalanced security datasets. You will design and implement generative workflows and agent-based AI systems that operate reliably at production scale. What You’ll Do: • Drive the integration and production deployment of cutting-edge AI frameworks directly into our core product, unlocking the power of scalable, AI-powered applications that redefine our capabilities. • Design and implement generative workflows including agentic systems, tool-using LLMs, retrieval pipelines (RAG), and vector search infrastructure. • Build and deploy models for classification, generation, and embeddings tailored to real-world security use cases. • Develop automated testing, evaluation, and monitoring systems to ensure model performance and data quality in production environments. • Work across the full model lifecycle from experimentation and development to deployment, optimization, and maintenance. • Collaborate closely with product and engineering teams to integrate AI capabilities into the platform. • Contribute to high engineering standards and provide technical mentorship within the team. What We’re Looking For: • 4–6+ years of experience in machine learning engineering or applied AI, with a preference for an MSc in a relevant field. • Hands-on experience building and deploying large-scale production systems with machine learning components. • Practical experience with modern AI architectures, including LLMs, RAG pipelines, vector search, and prompt orchestration. • Strong backend engineering experience and familiarity with building production services. • Experience implementing and productionizing AI frameworks with automated testing, monitoring, and data quality controls. • Strong architectural thinking and algorithmic intuition for model selection, evaluation, and optimization. • Ability to work independently in fast-moving environments and take ownership of complex technical challenges. Why Join Jazz? • Work on complex problems at the intersection of AI, cybersecurity, and large-scale systems. • Build production AI systems that power a new approach to Data Loss Prevention. • Take ownership in an early-stage company where engineering decisions shape the product. • Collaborate with a team focused on solving hard technical challenges with high standards of engineering. Our office is at Sonol Tower in Tel Aviv, next to Carlebach train station.