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Required Employment Lawyer (Corporate)
About The Position
Advising and supporting clients, primarily in aspects related to the corporate world.
The work includes conducting due diligence reviews and drafting legal documents related to transactions, including DD reports.
In addition, the role includes advising and supporting international and Israeli companies, mainly in the high-tech sector, on labor and employment law matters, drafting various agreements, hearing summons, termination letters, legal opinions, and the like.

Required Corporate Lawyer - Israeli Capital Markets
About The Position
Ongoing counsel to reporting corporations whose securities are listed on the Tel Aviv Stock Exchange in securities matters, disclosure and reporting requirements, corporate law and governance.
Advising reporting corporations in a variety of equity and debt raising transactions and in M&A transactions.
Advising reporting corporations in their interactions with the Israel Securities Authority, the Tel Aviv Stock Exchange and other regulators.
Advising companies in carrying out initial public offerings, writing prospectuses and the process of a company's transition to a public company.
Representation of boards of directors, directors, special committees and shareholders.
Preparing legal opinions on securities and corporate law matters.
Assistance in litigation proceedings in corporate and securities fields.

As a Senior AI Infrastructure Engineer at our company, you'll lead the development and scaling of our machine learning training and AI infrastructure, enabling our AI and Research teams to build, train, and deploy cutting-edge AI solutions at scale. You'll collaborate across research, engineering, and business teams to create the foundations that power our companys AI innovation.
Youll Own:
Developing and evolving our companys machine learning platform, including shared libraries, development standards, CI/CD pipelines, and ML/AI tooling.
Designing and building scalable infrastructure that supports large-scale model training, experimentation with classic models and LLM, and validation.
Driving MLOps strategy and best practices, partnering with cross-functional teams to improve developer productivity, platform reliability, and operational efficiency.
Youll Solve:
Scaling machine learning infrastructure to support growing AI workloads, increasingly complex models, and rapid experimentation cycles.
Creating standardized, efficient workflows that enable research and engineering teams to move from experimentation to production faster and more reliably.
Youll Impact:
Accelerate AI innovation by building robust infrastructure that enables teams to develop, train, evaluate and validate models efficiently.
Improve the scalability, reliability, and consistency of machine learning development across our companys AI organization.

As a Senior Backend Engineer, you'll dive into complex technical challenges, craft innovative solutions, and play a pivotal role in our mission to revolutionize how companies understand their customer interactions. We're seeking a strong Python developer who can leverage deep technical knowledge to drive our backend development to new heights.
Youll Own:
System Architecture: Leading the design and implementation of complex, scalable, and high-performance backend services and APIs.
Feature Lifecycle: Taking end-to-end ownership of major product initiatives, from initial design to coordinating delivery across Backend, Frontend, and Product teams.
Engineering Standards: Establishing and driving team-level best practices for code quality, testing strategies, and CI/CD processes.
Youll Solve:
Technical Complexity: Analyzing and debugging intricate challenges across the stack to ensure long-term system reliability.
Cross-Functional Friction: Managing risks and coordinating dependencies between multiple teams to ensure seamless feature delivery.
Scalability Bottlenecks: Implementing preventive measures and high-performance solutions to keep services running smoothly under load.
Youll Impact:
Data Architecture: Architecting systems that handle massive amounts of external data, ensuring high availability and accuracy across diverse APIs and sources.
our companys Evolution: Building the foundation of a new core product that directly influences how sales and marketing teams identify and reach their next customers.
Strategic Delivery: Shaping how major initiatives are executed, ensuring technical excellence is balanced with business milestones.

Required Corporate Lawyer
About The Position
Associates in our corporate group advise clients in some of Israel's largest M&A, capital markets and investment and financing transactions. Our clients range from entrepreneurs, start-ups, and technology companies, to venture capital funds, strategic buyers, and major private equity funds. We assist clients in all stages of their transactions, including drafting transaction documents, negotiations, due diligence, and providing legal advice.
Our corporate associates take an active role in some of the most significant transactions in the market, representing innovative and pioneering companies from Israel and abroad, and helping them achieve their business goals and make their technological ideas a reality.
Option to work from our offices in Ramat Gan or Jerusalem.

Are you ready to take the next step in your legal career?
Were looking for a talented Associate to join our amazing team and play a key role in commercial technology transactions for innovative clients.
-Work alongside passionate professionals in a supportive, collaborative environment.
-Represent some of the most exciting startups and leading technology companies.
-Tackle exciting, cutting-edge projects with leading technology companies.
-Enjoy opportunities for professional growth and development.

We are looking for a Platform Security Director to lead the engineering of our security infrastructure. Your mission is to build a Security Machine that is as sophisticated as our AI. You will move us beyond traditional "defense" into a "Secure-by-Default" reality, where our multi-cloud infrastructure (AWS and Azure) is hardened, automated, and resilient by design.
Youll Own:
The end-to-end security strategy across Application Security, Cloud (AWS/Azure), and Platform layers, ensuring a Secure-by-Default framework, as measured by deployment coverage, critical vulnerability reduction, and developer adoption metrics.
A unified Security Engineering organization covering AppSec, SecDevOps, and AI Security leadership, collaboration points with adjacent teams (Infrastructure, R&D, Product Engineering), and building and mentoring a high-performing team.
Lead our Platform Security domain - from Layer 7 protections to AWS architecture, security tooling, automated risk scoring, and AI-assisted automation workflows that improve detection and remediation times.
Security controls (WAF, Rate Limiting) embedded into the SDLC and CI/CD pipelines, including mandatory security gates, artifact scanning, and automated deployment checks.
Lead our AI strategy - enabling secure use in our platform products as well as for our internal engineering usage, and scaling AI security governance and controls.
The evolution of scalable infrastructure security, including Kubernetes, containers, IAM, and Zero Trust architectures, strengthening Kubernetes and cloud security posture.
Own and execute the comprehensive Vulnerability Management program, from discovery (SAST/DAST/OSS scanning) through remediation tracking, and manage the external Bug Bounty program, with a focus on improving remediation SLAs and automation coverage.
Mature secure-by-default engineering practices across the SDLC.
Increase developer adoption of automated security tooling.
Youll Solve:
Eliminating manual bottlenecks through code-driven guardrails and frictionless developer experiences.
Securing complex production systems and multi-tenant AI architectures in cloud-native production environments, with a focus on model integrity, training data provenance, data exfiltration prevention, and minimizing unique risks associated with Large Language Models (LLMs), by applying specific AI threat models.
Operationalizing Red/Purple Team exercises, penetration testing, and the Bug Bounty program to ensure a continuous feedback loop that drives proactive risk reduction.
Youll Impact:
Support a culture where security is embedded into the foundation of engineering
Turn security into a strategic product advantage and customer trust differentiator
Improve developer experience by making the secure path the easiest path
Increase engineering velocity while strengthening platform resilience
Shape the future intersection of Security, AI, and Platform Engineering
Create scalable systems, processes, and relationships that grow with the companys innovation pace.

As a Senior Data Scientist on the AI Research & Reliability team, you will be a driving force in shaping the future of our company AI. You will act as a technical leader, working with cutting-edge LLMs, NLP, and machine learning to tackle our most ambiguous and complex customer problems. Working alongside Product, Engineering, and Data Scientist, you will spearhead the architecture, evaluation, and deployment of enterprise-grade AI capabilities at scale, while elevating the technical standards of the team.
You'll Own
The AI Technical Strategy: Lead the AI product lifecycle by partnering deeply with Product and Engineering to translate complex business needs into scalable, state-of-the-art AI solutions. Define the overarching AI approach, agent architectures, success metrics, and long-term technical vision before implementation.
Advanced Agentic Systems: Architect, build, and optimize complex sub-agents, tool-use mechanisms, retrieval systems, and memory architectures that power our company AI Agents. Establish industry-leading evaluation frameworks and benchmarks to rigorously measure and continuously improve workflow reliability.
Conversational Intelligence at Scale: Pioneer new NLP- and LLM-based methodologies to analyze massive, unstructured conversation datasets. You will design approaches that capture the deep intent, nuance, and strategic signals within human interactions.
Production-Grade Model Engineering: Architect highly robust and scalable Python pipelines. Set the standard for creating proprietary datasets, training/fine-tuning models, and integrating LLM-powered solutions into production environments serving millions of critical customer interactions.
You'll Solve
Complex Business Context Reasoning: Designing AI systems that can autonomously reason over vast, unstructured data spaces-combining conversations, CRM signals, and diverse data sources to uncover high-level insights and drive executive decision-making.
Architecting Intelligent Agent Experiences: Solving the hardest architectural challenges around long-term memory, multi-step reasoning, retrieval accuracy (RAG), and deterministic evaluation to ensure our company AI Agents deliver flawless, context-aware assistance.
Extracting Actionable Intelligence: Pushing the boundaries of applied NLP and LLMs to understand deep customer dynamics, foresee market trends, and transform raw, noisy conversations into structured, actionable intelligence across the customer lifecycle.
Advancing Applied AI Innovation: Leading experimentation with state-of-the-art AI approaches (advanced RAG architectures, parameter-efficient fine-tuning, complex agentic workflows) to solve novel product challenges and drastically improve AI quality and reliability.
You'll Impact
Global Sales Transformation: The foundational AI architectures you build will directly empower thousands of enterprises, fundamentally changing how revenue teams operate, strategize, and close deals.
Strategic Innovation to Implementation: You will bridge the gap between academic/bleeding-edge NLP developments and enterprise application, translating complex research into high-quality, scalable code that maintains our company's position as an AI industry leader.

We are looking for a Senior Security Product Manager to drive the strategy, development, and growth of our product, shaping how security teams automate and scale their security operations across the enterprise.

This is a strategic product role at the center of our growth. You will define the product vision, translate deep security domain knowledge into scalable product capabilities, and partner across Engineering, R&D, GTM, and Customer Success to deliver exceptional outcomes. This role requires strong technical depth, security expertise, and an AI-first mindset.

What You'll Do
Define and execute product strategy - Own the roadmap for your product areas, balancing near-term customer needs with long-term vision. Think big, plan strategically, and dive deep into the details to ensure flawless execution.
Translate security expertise into product - Draw on your security domain knowledge to deeply understand how security teams operate, and shape features that solve real operational challenges at scale.
Drive end-to-end product development - Lead initiatives from discovery through design, development, release, and iteration - including full product launches in close partnership with GTM.
Go-to-market execution - Partner with GTM to plan and execute product launches end-to-end: develop positioning, messaging, sales enablement, and launch plans that land with security practitioners and buyers alike.
Engage directly with customers - Work with enterprise customers and internal teams to understand security architectures, workflows, and unmet needs.
Own product specifications - Write clear, rigorous technical and product requirements that guide engineering and ensure high-quality delivery.
Leverage AI throughout your workflow - Use AI tools to accelerate research, synthesis, spec writing, and decision-making - and bring that same AI-first thinking to every product initiative you lead.