Israel Tech Guard

Description At Leadspotting, we’re building platforms that transform complex data into clear, actionable intelligence. We’re looking for a Data Team Lead to take ownership of one of our core data groups — a team building advanced, scalable data pipelines and AI-powered models that deliver real-time insights for public and private sector decision-makers. As a hands-on leader, you’ll manage a multidisciplinary team of data engineers, scientists, and analysts. You’ll work closely with product, engineering, and domain experts to drive the development of intelligent, data-driven products — using modern tools like PySpark, SQL, LLMs, transformers, and knowledge graph modeling. If you're passionate about AI, data architecture, leadership, and turning messy, complex data into clarity and impact — this is your place. Key Responsibilities • Lead a team of data scientists in developing GEN-AI driven NLP, CV, Big data analytics solutions. • Architect Design, and optimize LLMs, Agentic AI, transformer models, RAG pipelines, and classical ML/NLP/CV pipelines. • Work closely with Fullstack teams, and Product Managers and talented data engineers to integrate AI models into production systems. • Balance between 70% product delivery and 30% research, collaborating with a dedicated research team. • Engage with operational customers to understand their needs and translate them into AI-driven solutions they can trust. Requirements Required Qualifications Must-Haves • 2+ years of hands-on experience in AI/ML, with a focus on designing, training, and deploying LLMs and NLP models. With focus on text and topic analysis. • 3+ years of experience leading AI or data science teams, including mentoring, goal settings. Technical leadership. • Proven track record in LLMs (GPT, LLaMA, Falcon, etc.), RAG pipelines, semantic search, Agentic or transformer-based architectures. • Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow. • Experience deploying production-grade AI models in both cloud and on-prem environments, ensuring scalability and performance. • Ability to collaborate effectively with engineers, PMs, and operational customers to translate AI research into product features. Nice-to-Haves • Eligibility for Security Clearance Level 2 (active clearance – advantage). • Hands-on experience with knowledge graphs, topic modeling, or multimodal AI. • Familiarity with MLOps stacks (MLflow, Kubeflow, SageMaker, Vertex AI) and monitoring/observability for ML models. • Experience with Generative AI in production (fine-tuning, prompt engineering, safety/guardrails). • Knowledge in Palantir Foundry- for managing and integrating complex datasets. • Knowledge of data anonymization, encryption, and compliance frameworks (ISO, NIST, SOC 2). • Background in defense, mission-critical, or applied AI at scale. • Excellent leadership, problem-solving, and decision-making skills.

Description At Leadspotting, we develop data-driven solutions that power high-impact decision-making. We’re looking for a Product Designer to craft intuitive, elegant, and impactful user experiences for complex, data-driven platforms. As a designer at Leadspotting, you’ll work on products that turn messy, unstructured data into insight and actions — building tools used by analysts, decision-makers, and operational teams in high-stakes domains like national security, policy, and enterprise risk. This role is perfect for someone who loves designing in complexity, simplifying user flows, and collaborating closely with product managers, engineers, and data experts (30% UI, 70% UX). Key Responsibilities • Own the design process from user research to visual design and developer handoff. • Design end-to-end user experiences for web-based products, wireframes to high-fidelity mockups. • Collaborate with product managers, engineers, and domain experts to translate complex workflows into clean, usable interfaces. • Create and maintain component libraries and design systems to ensure consistency and scalability. • Conduct usability testing, gather feedback, and iterate quickly. • Contribute to shaping product thinking and UX strategy across the company. Requirements Required Qualifications Must-Haves • Active Security Clearance – Level 2. • 4+ years of experience in product design or UI/UX design. • Proven track record of designing complex web applications or B2B platforms. • Proficiency with modern design tools (Figma). • Strong understanding of UX principles. • Experience collaborating closely with product and engineering teams. • Ability to work independently and drive design projects from concept to execution. • Strong communication skills and a portfolio that demonstrates your design thinking and visual skills. Nice-to-Haves • Experience designing for data-rich environments, dashboard and chat-based products. • Motion or micro-interaction design skills. • Experience in user research or UX writing.

Description At Leadspotting, we develop data-driven solutions that power high-impact decision-making. We’re looking for a Full Stack Engineer who’s excited about turning complex data into clear, actionable insights through web applications, data pipelines, and AI-based interfaces. This role is perfect for someone who thrives at the intersection of backend data processing and frontend development — with a passion for working with modern technologies like LLMs, NLP, and scalable analytics platforms and delivering polished UI and top notch UX.. You’ll work closely with data scientists, product managers, and engineers to build full-stack solutions: from real-time data ingestion to user-facing dashboards, charts and graphs, and conversational UI. Key Responsibilities • Own and develop end-to-end data processing applications from collection phase, processing, Analysis to User facing graphs and charts using advanced data analytics platforms. • Develop and maintain user-facing features across web applications using modern frontend frameworks (e.g., React, low-code web application platform). • Translate UI/UX design wireframes into high-quality, responsive, and accessible code. • Implement backend processes and features using NodeJS, PySpark, Python Notebooks and React Frontend. • Build and evolve design systems or shared component libraries. • Design, build, and maintain scalable cost effective data pipelines to support product features and internal analytics. • Work with large-scale datasets using PySpark and distributed processing frameworks. • Integrate with various data sources (e.g., databases, APIs, file systems) and ensure data reliability and accuracy. • Collaborate with data scientists, analysts, and backend developers to ensure smooth data flow across systems. Maintain proper documentation and observability around data flows and transformations. Requirements Required Qualifications Must-Haves: • 2+ years of experience in big-data backend development in Python , or data science with a strong engineering mindset. • At least 3 years of professional experience building applications with React and TypeScript and modern Javascript frameworks such as (NextJS/Vue/Remix). SSR/SSG Zustand. • Experience with UI & Styling Frameworks such as Tailwind CSS/ Mantine. • Experience with UI tests frameworks, browser automation(Playright/Vite) and DOM. • Proficiency in SQL/ GraphQL for data modeling, transformation, and performance tuning. • Experience working with large, complex datasets in structured and semi-structured formats (e.g. Parquet, JSON). • Strong collaboration skills, with the ability to work effectively with cross-functional stakeholders (data science, product, operations, etc.). Nice-to-Haves: • Eligibility for Security Clearance Level 2 (active clearance – advantage). • Experience with integrating charting and graphing libraries. • Exposure to knowledge-graph modeling or object-based ontologies, lineage, schema evolution). • Experience working in secure or compliance-heavy environments (e.g., healthcare, defense, finance). • Hands-on work with topic modeling, semantic search, or natural language processing (NLP) in production or research contexts.