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We are seeking a Data Engineering Lead to own and scale data platform infrastructure

Build our new data Lakehouse to support various product and business needs
Support cutting-edge AI Agents and cybersecurity use cases
Be part of the Data and AI Algorithms group
Collaborate closely with dev teams, AI/ML engineers, security researchers and business teams
Ensure the availability, reliability and quality of our data infrastructure
Help define best practices for data modeling and orchestration at scale

We are seeking an experienced Director of Product Management to lead one of our product management groups and drive the roadmap and execution of our cybersecurity product portfolio.

product management combines a deep understanding of customer pain points, business processes, people, and technology, together with a vision for where the company and our products need to be. This role requires strong leadership, proven experience in building and managing product teams, and deep expertise in cybersecurity.

Lead and grow a team of product managers, including direct management of senior PMs.
Define and drive the product vision, strategy, and roadmap for cybersecurity product offerings.
Collaborate closely with engineering and research leadership to deliver innovative solutions that empower application security professionals and business teams alike.
Partner directly with customers and stakeholders to ensure our products deliver real, measurable value, and identify opportunities for continuous improvement.
Play a critical role in integrating AI and generative AI technologies, such as Copilot, into our platform to enhance security, usability, and adoption.
Act as a thought leader in the market, representing externally and shaping the direction of the low-code/no-code and AI security ecosystem.
Report directly to the VP of Product, while influencing cross-company priorities and ensuring alignment with business goals.

We're seeking an individual who not only possesses technical skills but also boasts a strong intuition for UX and product considerations. If you thrive on collaborating closely with software engineers and product managers, we want you to join our team.



Responsibilities:

Take responsibility and lead the development of multiple components of the system in a dynamic environment.
Design, implement, and innovate features using cutting-edge technologies.
Design, implement, and innovate end-to-end major features from frontend to backend.
Work closely with product managers, architects, and software engineers to deliver the best customer and user experience.
Lead the growth of the frontend infrastructure, both individually and by working with others.
Promote high-quality design and testing of frontend components and infrastructure.

This is a key position that requires discretion and the ability to manage the CTOs priorities efficiently. The ideal candidate is detail-oriented, proactive, an independent problem-solver, and comfortable working across time zones in a startup environment.

Responsibilities:

Manage the CTOs calendar, meetings, and travel arrangements
Handle professional communication and coordination between the CTO and internal/external stakeholders
Prioritize and coordinate tasks according to the CTO's priorities
Handle sensitive and confidential information with professionalism and discretion
Coordinate participation in local and international conferences and media engagements
Support the CTO across personal-logistical matters to ensure smooth daily operations

This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. Youll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response.

The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation.



What Youll Do

Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics.
Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines.
Publish and share: produce Zenity Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty.
Build tools: Several open source libraries exist (like Anthropics attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments.

We are looking for a hands-on technical leader to drive the design, implementation, and evolution of our cloud infrastructure. Youll take ownership of building scalable, reliable, and secure systems that empower engineering teams to deliver with speed and confidence. Youll operate in a fast-paced environment, balancing innovation and pragmatism, and fostering a culture of continuous improvement and operational excellence.



Responsibilities:

Lead end-to-end technical initiatives to design and manage cloud infrastructure across AWS and other multi-cloud environments.
Build and evolve automation frameworks and internal tools using Python, Bash, and modern infrastructure-as-code technologies (Terraform or equivalents).
Architect, implement, and maintain CI/CD pipelines that streamline delivery and improve developer productivity.
Champion observability, reliability, and performance establishing best practices around monitoring, alerting, and system health visibility.
Collaborate closely with cross-functional engineering teams to enable scalable deployments, efficient development workflows, and resilient production systems.
Drive technical tradeoff decisions that balance speed, cost, and reliability in a dynamic, growth-oriented environment.
Act as a mentor and advocate for DevOps culture, enabling teams to take ownership of infrastructure and operations.

As a Senior MLOps Engineer , you will design, build and scale our machine learning infrastructure. You will lead the end to end model lifecycle, from data and training to deployment and monitoring, ensuring reliable and high performance ML systems in production. You will work closely with our research and engineering teams to bring advanced AI models into production and help shape the future of our AI capabilities.

e're seeking an individual who not only possesses technical skills but also boasts a strong intuition for UX and product considerations. If you thrive on collaborating closely with product managers, UI/UX designers and software engineers, we want you to join our team.



Responsibilities:

Take responsibility and lead the development of multiple frontend components and modules of the system in a dynamic startup environment.
Design, implement, and innovate, high quality user interfacing features and designs
Work closely with product managers and designers to deliver the best customer and user experience.

We are seeking a seasoned Senior Product Manager to drive the roadmap and execution of our cybersecurity product portfolio. , product management is viewed as an engineering discipline. It involves developing a deep understanding of the true nature of customer pain points, considering their ability to act based on process, people, and technology. Simultaneously, it requires an awareness of the company's current capabilities and a vision for where the company and product need to be to truly empower the market to better protect low-code/no-code applications. This is an excellent opportunity to take ownership of the product life cycle in a fast-paced startup environment.

Become an expert in low-code/no-code security, own major pillars in our product portfolio, and play a critical role in shaping the strategic direction of our security product offerings.
Work closely with our customers to ensure our products deliver real value and identify opportunities for continuous improvement.
Collaborate with our engineering and research teams to deliver products that empower application security professionals to secure low-code/no-code applications without requiring deep expertise.
Take the lead in integrating AI and generative AI technologies, such as Copilot, into our product offerings to enhance security and user experience.
Report directly to the VP of Product Management, offering you the opportunity to lead an emerging security product category and create clarity that enables our customers to integrate business development within the security framework.
Join a team that leads the market, focusing on what truly matters to our customers. If you're ready to be a part of a team that is defining the future of low-code/no-code cybersecurity, join us and play a key role in shaping the future of this industry.
Define features and own their backlog, working closely with engineering, research, and product marketing teams to align on trade-offs and drive successful delivery.
Communicate clearly about projects, risks, and accomplishments on behalf of the team.

Were seeking a Senior Security Researcher to drive end-to-end research initiatives that strengthen detection capabilities. In this role, youll investigate emerging attack surfaces, craft and implement innovative detection logic, and test your findings in real-world environments. Its a hands-on position ideal for someone eager to transform research insights into effective, production-grade security defenses.

Responsibilities

Research AI Agent and LLM-related risks, such as prompt injection and jailbreaking and implement sophisticated detection strategies.
Conduct research on cloud, web, and API security to uncover new threats and attack vectors.
Develop, refine, and design world-class detection logic and rules to enhance runtime protection.
Perform threat-hunting activities across large data sources to identify emerging attack patterns
Drive full-cycle research: from hypothesis and experimentation to production validation.
Collaborate with engineering and product teams to deliver actionable insights.

This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.



Responsibilities:

Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principals
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews

Student for Computer Science or Software Engineering in semester 3 and above from a University.
GPA of 90 or higher.
Technical Skills: Wide knowledge of technologies and programming languages.
Real passion for computers and computer science.
Work experience in software development is required.
Ability to work at least 2.5 days a week from the company office in Tel Aviv.