דרושים Research Analyst

• High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.

In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. You’ll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.

• 3-5 Years of experience as a Data Analyst, preferably from a SaaS company
• Proven experience in SQL writing, specifically in querying large and complex data sets
• Experience in BI tools and in DBT/Python
• Looker proficiency – an advantage
• Ability to translate analytic conclusions to business insights and actions along with strong statistical analysis skills and self-learning capabilities
• B.Sc./BA in industrial/information systems engineering, statistics or equivalent
• Experience in operational or cross-department roles – an advantage
• Great communication skills
• Business orientation and a passion for data analytics
• High level of spoken and written English

• High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

You will manage a team of world-class researchers, work closely with product, engineering and go-to-market teams, and ensure our research remains cutting-edge, rigorous and impactful.

• Develop, own and evolve the research strategy by defining high value focus areas such as cloud misconfigurations, identity threats, workload vulnerabilities and side channel attacks, and ensuring alignment with Orca’s product roadmap and business objectives.
• Lead, coach, and mentor a multidisciplinary research team of cloud-security experts, threat analysts, and software engineers.
• Define metrics for research impact: e.g., number of vulnerabilities discovered, mean time to detection of new threats, number of research-driven product innovations.
• Leverage large-scale data analysis and AI/ML tools to identify trends, automate detection, and enhance cloud threat intelligence.
• Identify and drive discovery of new vulnerabilities, attack techniques or adversary behaviors targeting cloud platforms, containers, serverless, data stores etc.
• Stay current with the threat-landscape, emerging technologies, adversary tactics, and regulatory/compliance changes affecting cloud security.
• Collaborate with product, engineering and R&D teams to ensure research insights translate into concrete features, detection logic, and customer value.
• Manage the research resource planning, tooling/infrastructure for the research function – including sandbox environments, data analysis tooling, and attack simulations.
• Establish partnerships with external research groups, academic institutions, and industry peers to amplify our capabilities and knowledge network.
• Publish research findings (blog posts, white-papers, conference talks) to elevate Orca’s reputation as a cloud-security innovator.
• Influence the broader security community through vulnerability disclosures, advisory publications, industry working groups, and open research collaboration.

• 7+ years in security research, threat intelligence, vulnerability discovery or related roles, with experience and passion for leadership.
• Proven experience in managing a team – mandatory
• Deep technical knowledge of cloud infrastructure (AWS, GCP, Azure), containerization (Kubernetes, Docker), serverless, IAM, data storage, code repositories and associated threat vectors.
• Proven ability to write production-quality code, particularly in Python and Go.
• Deep experience with data systems: SQL and NoSQL databases (e.g., PostgreSQL, BigQuery, Elasticsearch, or similar).
• Experience applying data analysis, machine learning, or AI-assisted tools (e.g., LLMs, automated pattern recognition, or anomaly detection) to security research.
• Proven track record of publishing and presenting research (vulnerability advisories, conference talks, white-papers), and translating research into product/detection capabilities.
• Hands-on ability: understanding of reverse engineering, exploit development, or other cutting-edge security techniques.
• Strong leadership and organizational skills: building and scaling a team, setting vision, driving execution.
• Excellent communication skills: able to share technical insights with engineering, product, senior leadership, and external audience.
• Strategic thinker with strong business acumen and the ability to align research activities with company objectives.

• Experience building or contributing to security-product codebases (e.g. scanning engines, detection frameworks, or telemetry pipelines).
  

• High growth: In just six years, we’ve reached milestones that take other companies a decade or more. We’ve doubled our employee count, tripled our customer count, and rapidly expanded our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

Our sensor delivers deep runtime visibility across cloud environments, spanning processes, syscalls, network activity, operating systems, and containerized workloads. As a Detection Analyst, you will examine this data at scale, refine detections, surface suspicious behaviors, and collaborate with the research team to continuously improve our security outcomes.

• Examine runtime events and security findings collected by the Orca Sensor to identify patterns, anomalies, and potential threats.
• Tune detection logic to reduce false positives and improve accuracy.
• Investigate alerts from real customer environments and propose improvements.
• Work closely with the research team to refine existing detections and provide insight for new ones.
• Partner closely with field teams and product managers – managing requests, sharing findings, and keeping everyone aligned.
• Produce short internal or external updates on relevant security trends or incidents.
• Use Elasticsearch to explore detection data and visualize trends.
• Contribute to detection automation and validation workflows (Python/Bash/Go/GitHub Actions).

• BSc with expertise in cybersecurity, or equivalent cybersecurity/detection experience
• Solid understanding of OS internals (Linux/Windows), process and network behavior
• Proven ability to conduct deep investigations, document findings, and propose solutions
• Comfortable with some of the programming/scripting languages (Python, Bash, or similar)
• Fast learner, self-starter, team player with a “can-do” attitude.
• Excellent spoken and written English

• Familiarity with security tools for runtime visibility or detection
• Prior exposure to threat detection or security operations
• Experience with Cloud-Native architectures (AWS/Azure/GCP) and Kubernetes
• Basic static malware analysis knowledge
• Familiarity with AI tools and frameworks (e.g. MCP, AI-driven automations)

The ideal candidate should hold a bachelor's or master's degree in finance, Business, or Accounting.

• Results-driven mindset

• Eager to learn and grow

• Proficiency with systems

• Strong organizational skills, attention to detail, and ability to handle complexity

• Excellent teamwork capabilities

• Strong communication skills

• Ability to work independently and effectively overcome obstacles

• The job requires at least 4 days per week from the campus

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

We need an experienced engineer with a passion for building, deploying, and scaling our Security AI systems and environment. This is a hands-on role that combines research, devops and data science. The role requires a constant creative trailblazing mindset and novel non-linear thinking. You will develop and enhance complex agentic AI products, architect for scale, and optimize for performance. Additionally, you will be responsible for turning innovative AI concepts into robust, efficient, and reliable services for multiple teams.

Your Impact

• Research, Evaluate and leverage the power of AI and LLMs in cybersecurity
• Perform complex AI evaluations on LLM based cybersecurity features and products
• Implement and optimize advanced AI/LLM systems, including complex RAG pipelines and efficient multi-tool agentic workflows
• Develop and contribute to AI frameworks and services that provide game-changing capabilities
• Transform strategic vision into production-grade reality
• Perform Data-driven research on big data platforms

Your Experience

• 3+ years experience as an engineer / researcher
• Expert-level proficiency in Python
• Hands-on experience with AI systems and agentic AI workflows
• Hands-on LLM experience: AI best practices, prompt engineering, model selection, etc
• An innovator's mindset: You thrive on solving ambiguous, open-ended problems and are driven to build novel solutions where no playbook exists.
• Cybersecurity experience - Big Advantage
• Practical experience with modern MLOps/DevOps tools and practices - Big Advantage
• Experience with XDR/SIEM/EDR/NDR product - Advantage

All your information will be kept confidential according to EEO guidelines.