
Knostic

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About
Knostic is the world’s first provider of need-to-know based access controls for LLM-based Enterprise AI. Knostic enables organizations to accelerate the adoption of LLMs and drive AI-powered innovation without compromising value, security, or safety. They offer readiness assessments for Copilot and other LLM-based Enterprise AI tools, enabling enterprises to identify potential data leakage and oversharing before deploying AI at scale. Knostic's solutions enforce users' need-to-know, analyze permissions, and personalize knowledge pathways.
Platform
Task
Features
• ai security
• ai-powered innovation
• copilot readiness assessment
• knowledge-centric capabilities
• oversharing detection
• data leakage identification
• llm oversharing prevention
• need-to-know based access control for enterprise ai
Job Opportunities
Senior Full-Stack Engineer
Knostic provides need-to-know based access controls for LLM-based Enterprise AI, helping organizations prevent data leakage and ensure secure AI deployment.
Education Requirements:
BSc in Computer Science or equivalent
Experience Requirements:
7+ years of experience in software development
5+ years of experience with Node.js (preferably with TypeScript)
Expert knowledge of Node.js capabilities and limitations
Understanding of front-end concepts and technology (React, TypeScript)
Experience with relational databases (such as PostgreSQL)
Other Requirements:
Familiarity with cloud-native development practices
Excellent communication skills
Organized and self-driven
Familiarity with Agile development methodologies
Ability to work in high-paced and dynamic start-up environments
An all-star team player with a “can do” attitude
Responsibilities:
Design and build our scalable enterprise-grade control plane using industry best practices focusing on quality, performance, and delivery.
Write well-crafted, tested, readable, and maintainable code.
Participate in code design, code review, and distribution knowledge.
Develop distribution and deployment tools for different platforms.
Collaborate with data-scientists, product managers and other team members to ensure high-quality and timely deliverables.
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Senior DevOps Engineer
Knostic provides need-to-know based access controls for LLM-based Enterprise AI, helping organizations prevent data leakage and ensure secure AI deployment.
Experience Requirements:
Strong experience with AWS (primary), including services like EC2, S3, IAM, EKS, etc.
Proven experience building and managing CI/CD pipelines using GitHub Actions.
Deep understanding of Kubernetes architecture, deployment strategies, and management tools.
Experience with Pulumi (with TS) for managing infrastructure and Helm Charts for deploying applications on Kubernetes.
Other Requirements:
Familiarity with observability best practices.
Strong understanding of security principles and experience implementing security measures in cloud environments.
Proficiency in scripting languages like Python or Bash for automation tasks.
Experience in designing, implementing, and maintaining resilient systems in cloud environments.
Proven ability to define and implement disaster recovery procedures and strategies.
Clearly communicating technical concepts to technical and non-technical audiences.
Ability to work independently, prioritize tasks effectively, and manage time efficiently.
Thrives in a fast-paced, dynamic start-up environment and can adapt to changing priorities.
A collaborative and supportive team player with a "can do" attitude and a strong work ethic.
Responsibilities:
Build and Maintain CI/CD Pipelines: Design, implement, and manage CI/CD pipelines using GitHub Actions to ensure fast, reliable, and automated deployments across multiple environments.
Optimize System Scalability and Reliability: Automate scaling processes, manage load balancing, and monitor system health to handle growing traffic and ensure high availability.
Platform Management: Manage and optimize our Kubernetes (K8S) infrastructure, ensuring efficient resource utilization and application performance.
Cost Optimization: Track, audit, and optimize cloud resource usage across AWS, GCP, and Azure to reduce operational costs.
Centralize Observability: Implement comprehensive logging, monitoring, and tracing systems to improve incident detection, response, and overall system visibility.
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VP Product
Knostic provides need-to-know based access controls for LLM-based Enterprise AI, helping organizations prevent data leakage and ensure secure AI deployment.
Experience Requirements:
Proven experience building enterprise products and delivering solutions to large organizations.
Experience in cybersecurity is highly preferred.
Other Requirements:
Hands-on leadership: A doer who can roll up their sleeves and execute on product strategy.
Startup-savvy: Comfortable navigating uncertainty, leading cross-functional teams, and switching contexts efficiently.
Strategic mindset: Able to think big while staying tactical to achieve immediate results.
Excellent collaboration skills with experience working closely with founders, engineers, and stakeholders.
Based in Israel with the flexibility to work across time zones.
Responsibilities:
Collaborate with founders and engineers to shape the product vision and roadmap.
Build enterprise-grade solutions, ensuring the product meets the needs of large, complex organizations.
Own the product lifecycle, from early development to market release and scale.
Lead efforts to align product development with customer needs, focusing on cybersecurity and AI.
Design and implement a strategic roadmap with both short-term wins and long-term goals.
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