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We are pushing the boundaries of Software Supply Chain Security by introducing new and exciting features to developers, DevOps, and application security professionals. As we navigate the new era of AI-driven threats and opportunities, we are integrating advanced AI/ML capabilities to stay ahead of the curve and ensure our customers' software remains secure and compliant. Were looking for a tech-savvy Senior Product Manager to own the product throughout the product lifecycle, gathering and prioritizing product and customer requirements, defining the product strategy, and working closely with Engineering to deliver winning products with great user experience that customers love. The position also includes working with customers, Sales, Marketing, and Support to ensure revenue and customer satisfaction goals are met.

As a Senior Product Manager you will
Own the full cycle of product development, including ideation, competitive analysis, client validation, discovery with R&D, spec writing, launching, and monitoring
Lead Enterprise Customer Relationships: Build strong relationships with our largest Enterprise customers, understand their complex security requirements and translate them into scalable product solutions
Drive AI Transformation: Lead internal AI initiatives to optimize product workflows and leverage data-driven insights to enhance the Security offering
Collaborate Cross-Functionally: Work alongside Product Analysts, UX/UI, Product Marketing and other functions to drive successful feature rollouts
Build Strategic Trust: Get buy-in for the product vision across internal and external stakeholders through strong cross-team interactions
Evidence-Based Innovation: Identify, design, and iterate on product decisions by leveraging data from customer usage, market research, and adoption metrics

We are looking for a Senior Data Engineer to join the manufacturing data Engineering team and help us craft data collection solutions, quality control methodologies and monitors, support data enlargement scale. As a Data Engineer, you will play a significant role in bridging the gap between machine learning and software engineering. Your primary responsibility will be to develop, deploy, and maintain the infrastructure, data pipelines and workflows required for the end-to-end solution collecting the data till loading to data warehouse. If you are genuinely passionate about data engineering platforms, methodologies and possesses excellent problem-solving, we'd love to hear from you!

What youll be doing:

Collaborate with multi-functional teams, including full stack engineers, data scientists, data engineers, and DevOps, to craft, implement robust reliable data pipelines, infrastructure and workflows.

develop and support data models, schemas, and database structures that provide blazing-fast analytics performance. Constantly optimize data workflows to ensure flawless real-time and batch data processing.

Implement data quality checks and monitoring mechanisms to ensure data integrity and accuracy at every stage. detect and resolve bottlenecks swiftly to maintain a highly available and reliable data ecosystem.

Control, monitor and optimize worldwide production servers.

Build and maintain scalable data pipelines, ensuring efficient data storage, retrieval, and transformation.

Stay ahead of the curve in data engineering technologies and trends. Introduce new tools, techniques, and standard methodologies to improve our data infrastructure, empowering data scientists and analysts alike.

Feed a culture of learning and knowledge-sharing within the team. Guide and mentor junior data engineers, applying your expertise to uplift the entire department.

As a Cloud Security Lead (Cloud Security Architecture & Hardening) , you will design, implement, and enhance the security of our mission-critical cloud infrastructure and the Enterprise Browser by establishing robust security architectures, implementing proactive hardening controls, and driving continuous operational excellence. You will play a critical role in safeguarding our cloud environment, shaping the foundational security posture through precision, innovation, and design foresight.

Key Responsibilities

Cloud Security Architecture & Hardening: Design and enforce security baselines, configurations, and reference architectures across our multi-cloud footprint (AWS/GCP/Azure). Evaluate new cloud services and features for security implications and create hardened deployment standards for IaaS, PaaS, and serverless components.
Security Engineering & Automation: Develop and deploy security-as-code solutions, integrating security controls directly into CI/CD pipelines and leveraging Infrastructure-as-Code (IaC) tools to ensure continuous configuration integrity and compliance. Develop custom automation for detection, alerting, and triage workflows, leveraging cloud SDKs and APIs.
Cloud Security Monitoring & Observability: Design, implement, and maintain cloud-native security monitoring solutions (e.g., utilizing services like CloudTrail, GuardDuty, Security Command Center) to ensure comprehensive visibility across the cloud control plane and data plane.
Incident Triage & Response: Support the security team in investigating and responding to critical security events and vulnerabilities, creating runbooks, and contributing to post-incident remediation and architectural improvements.
Security Enablement & Awareness: Collaborate with product, engineering, and IT teams to improve security awareness, deliver training, and drive adoption of security best practices across , specifically for IaaS, PaaS, and secure DevOps practices.

Build the future of endpoint security - protecting customers at global scale, and shaping its next generation.
As a Senior Product Manager on our company's Endpoint Security team, part of our Workspace Security platform, you'll own product areas end-to-end - from strategy through launch and adoption - partnering with R&D, UX, data, and go-to-market teams, and working directly with the customers who use our products every day.
Why this role?
Define the future of endpoint security across prevention, detection, and response
Shape a product used by tens of thousands of global customers
Move quickly, backed by the scale, data, and customer base of a global security vendor
Key Responsibilities
What youll do
Own product areas end-to-end across inbound and outbound: define vision, strategy, and roadmap, then drive positioning, messaging, customer engagement, and enablement to market.
Work directly with customers to understand their challenges and translate them into product direction.
Define new capabilities across endpoint protection, threat detection, and response.
Partner deeply with engineering to make thoughtful tradeoffs between detection efficacy, performance, scalability, and customer experience.
Use data and analytics to guide prioritization, validate direction, and measure impact.
Bring structure to ambiguous problems, and communicate strategy, risks, and progress clearly to stakeholders and leadership.

we are looking for a Senior Software Engineer with strong Python expertise and a passion for solving complex algorithmic problems. You'll work at the intersection of production software, algorithms, and quantum computing, collaborating closely with researchers to turn complex ideas and prototypes into robust, scalable production systems.
What You'll Do
Bridge research and production environments, turning research prototypes and algorithmic concepts into production-quality software.
Own software components end-to-end, from design and architecture through implementation, testing, performance optimization, and productionization.
Implement and integrate complex algorithms in close collaboration with research teams.
Develop and maintain company code across two key areas: research support systems that enhance our researchers' capabilities, and core product development code.
Design software that is robust, scalable, maintainable, and correct across performance-sensitive and edge-case-heavy scenarios.
Why is This Role Unique?
Core software engineering - The role is centered on software architecture, implementation quality, algorithms, performance, scalability, robustness, and maintainability. UI, database-heavy work, and DevOps are minimal to non-existent.
Algorithmic depth - Solve complex computational and mathematically intensive engineering problems, not just standard backend challenges.
Quantum computing focus - Work on emerging quantum computing technology. Prior quantum experience is an advantage, but is not required.
Research-to-production collaboration - Work directly with quantum physicists and researchers and turn research ideas into reliable production software.

We are looking for a detail-oriented and technically skilled Senior QA Engineer to join our engineering team and help ensure the quality, reliability, and security of our product.
In this role, you will own the quality of complex cybersecurity features from design through production, working closely with developers, product managers, and automation engineers. You will play a key role in defining test strategies, identifying risks early, and ensuring high-quality releases.
As part of your daily workflow, you will leverage AI-powered tools to improve test planning, discover edge cases, investigate defects, analyze logs, and enhance overall testing efficiency.
The Responsibilities:
Own the automation domain end-to-end: strategy, architecture, implementation, and continuous improvement
Design, build, and maintain scalable test automation frameworks across UI, API, integration, and system layers
Develop hands-on automation code in Python and/or TypeScript
Drive quality standards across engineering teams, partnering closely with developers, QA, DevOps, and product stakeholders
Define and implement automation best practices for reliability, scalability, maintainability, and fast feedback
Integrate and optimize automation within CI/CD pipelines to enable rapid, confident releases
Test complex SaaS, cloud, and cyber-related product flows, including security-sensitive scenarios, permissions, integrations, and system behavior
Use AI tools to support automation development, test generation, debugging, log analysis, documentation, and coverage improvement
Proactively identify coverage gaps and improve system testability, observability, and debuggability
Participate in system design and feature planning to embed quality from the earliest stages
Build and evolve testing environments using scripting, infrastructure-as-code, and cloud-native tools
Mentor and guide engineers, elevating automation standards across the organization

As a Principal Data Engineer, you will be integral to the security research group, designing, building, and maintaining the data pipelines and data frameworks that are the backbone of our cyber attack detection capabilities. You will work closely with top security and AI researchers, enabling their work and seeing the direct impact of your contributions on our services and the day-to-day effectiveness of the research team.
Key Responsibilities
Lead the design and implementation of end-to-end, complex data pipelines and data platforms in cloud environment.
Collect, analyze, and translate complex data requirements from various stakeholders including data analysts, developers, and Cyber security researchers.
Develop robust, scalable Cloud based data solutions using Python and distributed processing frameworks such as Apache Beam (Dataflow) , GKE , Spark , etc.
Utilize AI as part of the development cycle, including generating, reviewing, and testing code via prompts.
Model and manage data within cloud MPP databases and data lakes such as BigQuery, Redshift, or Snowflake.

As a Principal Data Engineer, you will be integral to the security research group, designing, building, and maintaining the data pipelines and data frameworks that are the backbone of our cyber attack detection capabilities. You will work closely with top security and AI researchers, enabling their work and seeing the direct impact of your contributions on our services and the day-to-day effectiveness of the research team.
Key Responsibilities
Lead the design and implementation of end-to-end, complex data pipelines and data platforms in cloud environment.
Collect, analyze, and translate complex data requirements from various stakeholders including data analysts, developers, and Cyber security researchers.
Develop robust, scalable Cloud based data solutions using Python and distributed processing frameworks such as Apache Beam (Dataflow) , GKE , Spark , etc.
Utilize AI as part of the development cycle, including generating, reviewing, and testing code via prompts.
Model and manage data within cloud MPP databases and data lakes such as BigQuery, Redshift, or Snowflake.

We are looking for a GenAI & Competitive Intelligence Engineer to join our Competitive Intelligence team. This role combines deep technical expertise with a builder's mindset to design, implement, and maintain advanced AI-powered systems for automating knowledge collection, generating competitive insights, and ensuring broad internal knowledge sharing across the organization. You will spearhead AI solution projects from initial concept through execution and widespread adoption.

As a GenAI & Competitive Intelligence Engineer , you will
Main role: Build, implement, and maintain the AI-powered intelligence stack, using LLMs, agentic capabilities, MCPs, Skills, and advanced RAG, to automate data collection, analysis and sharing
Make knowledge impossible to miss inside . Build the competitive intel teams interfaces that get the right competitive insight to the right stakeholder at the right time
Drive projects from concept to execution to delivery
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
Ensure the scalability and reliability of LLM-based system architectures
Engage with requirement gathering and product discussions with internal customers
Be the focal point for collaborating with IS, IT and data science teams
Have solid understanding of various aspects of the software development supply chain, including DevOps, DevSecOps and MLOps, and conduct in-depth technical research around them

Were looking for a Director of AI Engineering to join our organization and lead multiple engineering teams building the next generation of AI-powered products at Coralogix.

This is a hands-on engineering leadership role for someone who is a builder at heart, an experienced software engineering lead who loves to code, understands the full product and technical lifecycle, and knows how to scale both people and technology.

Youll work closely with the VP of AI and leaders across Product, Engineering, and other functions to turn ambitious ideas into high-quality products, while building and mentoring strong engineering teams.



What Youll Do

Lead and manage multiple engineering teams, including managing and mentoring Team Leads.
Set the technical direction and execution standards across the teams.
Stay close to the technology and remain hands-on when needed- this is not a purely managerial role.
Drive the full engineering lifecycle, from architecture and design through development, deployment, and production.
Build and scale SaaS products in a fast-moving environment.
Partner closely with Product and other departments to translate business needs into technical execution.
Make pragmatic tradeoffs between long-term architecture and short-term delivery.
Encourage a culture of ownership, speed, experimentation, and continuous improvement.
Motivate engineers by connecting their work to the broader product and business goals.
Collaborate closely with managers and stakeholders across the organization.
Resolve conflicts effectively and build strong, collaborative relationships across teams.
Help identify technical risks and long-term implications while maintaining a strong focus on delivering results now.

We are hiring a Senior Technical Marketing Manager to own the technical narrative behind runtime-powered cloud security. This is a hands-on role for someone who is part technologist, part storyteller: comfortable diving deep into architecture, runtime behavior, Kubernetes environments, identity flows, APIs, and kernel-level telemetry, then translating that depth into content that earns trust with engineers and security leaders. You'll think like a security engineer and write like a product marketer, building the technical content, product narratives, launch assets, and enablement materials that explain not just what we do, but how it works and why it's architecturally different. You'll report to the Head of Product Marketing and work closely with Product, Sales Architects, Engineering, and Research to turn complex innovation into market-ready messaging that drives real pipeline impact.
What You'll Do:
Own the technical narrative. Partner with Product and Product Marketing to define use cases, and build demo labs and training material for all new features and releases.
Create and execute high-impact technical content, from deep-dive technical blogs and solution guides to architecture explainers and product landing pages that security engineers and cloud teams actually want to read.
Lead and coordinate cross-functional initiatives across product management, engineering, and field teams for high-impact security use cases.
Translate complex architecture into clear value, turning runtime telemetry, eBPF instrumentation, Kubernetes metadata, identity context, and API flow mapping into differentiated, defensible positioning.
Keep our technical voice sharp: precise, modern, and human, authoritative when discussing architecture, approachable when discussing customer value.

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy:
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering:
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering:
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership:
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

We are now hiring a talented, self-driven and passionate Senior Data Engineer to build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.
What Youll Do:
Design, develop, and maintain scalable data pipelines that integrate data from multiple sources, including APIs, databases, streaming platforms, edge computing devices, cloud services, and on-premise systems.
Design reliable and business-critical data processing workflows for batch and real-time use cases.
Develop data access services and APIs that enable efficient communication between edge devices, cloud infrastructure, and on-premise environments.
Design and optimize storage solutions for structured, semi-structured, and high-dimensional sensor data to support AI model training, inference, and analytics.
Strong understanding of distributed systems and scalable data processing architectures.
Build and maintain scalable streaming data pipelines for low-latency processing and event-driven architectures.
Analyze existing data architecture, storage models, and processing workflows, and continuously improve performance, scalability, reliability, and maintainability.
Optimize cloud infrastructure and data storage costs while maintaining high availability and low-latency access.
Collaborate closely with Software, AI, Algorithms, DevOps, and Product teams to translate business requirements into scalable technical solutions.
Design monitoring, observability, and operational processes for data platforms.

In enterprise security, no product wins alone. Identity has become the critical framework linking cloud infrastructure, security applications, and automation. As organizations rapidly adopt AI agents and autonomous machine workflows, securing how these systems interact is the most critical challenge in modern technology.
As Senior Product Manager for Technology Alliances, you will define how the Idira platform connects with the broader enterprise technology ecosystem. Your primary mission is leading our AI and machine solution partnerships, driving horizontal strategy across the entire portfolio.
You will operate strategically across three ecosystem tracks: our internal engineering speedboat team, external partners building directly on our platform, and core product lines embedding integrations into their roadmaps. We are looking for a fast product builder who thrives in ambiguity, establishes cross-organizational alignment with ease, and makes excellent product calls.
Ecosystem Roadmap: Define product direction and author technical requirements for both internal engineering builds and external partner developers by translating signals from customers and the field into a prioritized integration backlog.
Market Research: Continuously evaluate the fast-moving AI, machine learning, and automated agent identity landscapes, identifying high-value technology trends and net-new integration opportunities.
Drive Technology Partnerships: Lead the product strategy for strategic technology alliances. Partner closely with the business development managers who own the business relationship.
Cross Functional Alignment: Partner with core product management leaders across the enterprise to synchronize roadmaps, delivery timelines, and launch plans, creating a unified strategy across all products.
Bring Integrations to Market: Collaborate closely with internal teams such as product marketing to ensure Sales, Customer Success, and Sales Engineers are fully equipped to position, demonstrate, and implement new integrations to drive customer adoption.
Measure Ecosystem Adoption: Own the framework for tracking how customers interact with our ecosystem. Monitor and analyze integration usage data, identify trends in customer adoption, and connect these product health insights directly to broader platform growth and retention goals.

In enterprise security, no product wins alone. Identity has become the critical framework linking cloud infrastructure, security applications, and automation. As organizations rapidly adopt AI agents and autonomous machine workflows, securing how these systems interact is the most critical challenge in modern technology.
As Senior Product Manager for Technology Alliances, you will define how the Idira platform connects with the broader enterprise technology ecosystem. Your primary mission is leading our AI and machine solution partnerships, driving horizontal strategy across the entire portfolio.
You will operate strategically across three ecosystem tracks: our internal engineering speedboat team, external partners building directly on our platform, and core product lines embedding integrations into their roadmaps. We are looking for a fast product builder who thrives in ambiguity, establishes cross-organizational alignment with ease, and makes excellent product calls.
Ecosystem Roadmap: Define product direction and author technical requirements for both internal engineering builds and external partner developers by translating signals from customers and the field into a prioritized integration backlog.
Market Research: Continuously evaluate the fast-moving AI, machine learning, and automated agent identity landscapes, identifying high-value technology trends and net-new integration opportunities.
Drive Technology Partnerships: Lead the product strategy for strategic technology alliances. Partner closely with the business development managers who own the business relationship.
Cross Functional Alignment: Partner with core product management leaders across the enterprise to synchronize roadmaps, delivery timelines, and launch plans, creating a unified strategy across all products.
Bring Integrations to Market: Collaborate closely with internal teams such as product marketing to ensure Sales, Customer Success, and Sales Engineers are fully equipped to position, demonstrate, and implement new integrations to drive customer adoption.
Measure Ecosystem Adoption: Own the framework for tracking how customers interact with our ecosystem. Monitor and analyze integration usage data, identify trends in customer adoption, and connect these product health insights directly to broader platform growth and retention goals.