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we are looking for a Senior AI Researcher.
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.
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 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 Senior Backend Engineer.
Job Description:
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 principles
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

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.

We are seeking a highly skilled Senior Product Manager to drive Zenity's platform integration strategy. This key role requires leading the integration of our platform with all major AI, generative AI, cloud, network, identity, and endpoint platforms. The successful candidate must have a deep technical background, be hands-on, and will be responsible for developing and owning the comprehensive integration roadmap essential for Zenity's product portfolio. This includes close collaboration with other Product Managers, partners, and customers to execute the company's platform integration strategy.

At Zenity, 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 protect AI Agents. This is an excellent opportunity to take ownership of the product life cycle in a fast-paced startup environment.
Responsibilities:
Lead the integration of the platform with key AI and generative AI technologies, in addition to the Enterprise ecosystem.
Report directly to the Director of Product Management, offering you the opportunity to lead a strategic part of the broader platform and create clarity that enables our customers to integrate business development within the platform.
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 Zenitys 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 Zenity's 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.