Researcher Jobs in Israel.
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Hi there! We are Testlio, a global testing company. We are looking for people in Israel to participate in a paid moderated user research session about a financial/payment app experience.
No technical experience necessary. We are looking for everyday people to share honest feedback while completing real tasks in the app and speaking live with a Testlio researcher during the session.
Compensation: $100 USD for approximately 1 hour of your time
During the Live Research Session, Participants will:
- Meet 1:1 with a Testlio researcher in a live video call
- Create a new account on a financial app
- Complete identity verification steps (uploading ID documents)
- Connect a real bank account
- Transfer a small amount of money (fully reimbursed)
- Share thoughts, reactions, and feedback out loud throughout the experience
The session will include screen, audio, and video recording for research analysis purposes. Any sensitive or personal information will be blurred/redacted. A consent form will be shared before participating.
Requirements
- Availability: Must be available for a 1-hour live video session between May 11 – May 15
- Age: Must be at least 18 years old
- Location: Must be physically located in Israel and be an Israeli citizen
- Language: Speak both Hebrew and English
- Must have an Israeli phone number
- Must have a bank account with any of the below banks:
- Bank Hapoalim
- Bank Leumi
- Bank Mizrahi
- Must have at least 2 valid IDs available (Teudat Zehut, passport, or driver’s license)
- Devices needed: iOS or Android Mobile Phone
No research or software testing experience is needed. We are specifically looking for natural, honest feedback from real people.
Participants Must Be Comfortable:
- Joining a live video call with a researcher
- Verbally sharing feedback while using the app
- Completing identity verification steps
- Linking a real bank account
- Sending a small transaction (that will be reimbursed under 24 hours)
How to start?
Once you are ready, please fill out the application. Those who meet the requirements will receive further information to participate in this paid testing opportunity.
If you have any questions or need help, please contact Opportunities@testlio.com using the code ISRAELTEST in the Subject line/email body so we can quickly identify your request.
#LI-REMOTE
Ready to apply?
Apply to Testlio
Senior Security Researcher - Risk
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Who is Tenable?
Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Role:
Tenable Cloud Security is seeking a Senior Security Researcher - Risk Researcher to join our highly technical product research team working at the core of our cloud security platform. This is a rare opportunity to join an elite cloud security research team and do work that directly shapes our product. In this role, you will define how cloud risk is understood and modeled, lead the development of novel risk logic and scoring methodologies, and translate complex attack paths into meaningful insights for customers.
You will conduct deep technical research across cloud environments to uncover new attack vectors, analyze real-world exploitation paths, and contribute to building a unified view of risk across identity, infrastructure, and data layers. Your work will directly influence how we prioritize risk, reduce noise, and establish a clear “ground truth” for what truly matters in cloud security.
We are looking for an exceptional, adversary-focused researcher who can bridge cloud security knowledge, threat modeling, and data-driven risk analysis. You are curious, comfortable with ambiguity, and driven to deeply understand how attackers operate in modern cloud environments.
Your Opportunity:
- Own Risk Across Tenable’s Cloud Security Platform: Define cloud risk by grounding findings in how exposure is actually created and exploited. Collaborate with engineering and product teams to introduce new data sources and signals that validate exposure. Establish a rigorous validation framework for risk logic to minimize noise and ensure high-fidelity alerts. Define the 'Ground Truth' for what constitutes a critical risk versus a theoretical vulnerability.
- Lead Novel Toxic Combination Logic: Conduct deep technical research to discover novel risks and attack vectors across identity, network, workload, and third-party data to produce attack paths. Work with teams across Tenable to develop and refine the quantitative scoring models that aggregate disparate signals (e.g., CVSS, EPSS, identity permissions) into a unified risk score.
- Lead Complex Discovery: Build resource, identity, and permission relationships to improve our asset inventory and relationship modeling. Understand customers requirements and ensure deliverables address real needs.
- Conduct Cloud Threat Modeling: Analyze services and architectures from an attacker’s perspective to define trust boundaries and data flows, and ensure the product covers newly identified attack paths. Present findings in blogs, reports, and leading industry conferences.
- Research Emerging Cloud Services: Evaluate new cloud services to establish secure configuration and architectural best practices where no prior guidance exists, and partner with PMs to deliver them through the platform.
- Shape Cloud Security Strategy: Provide a broad technical view across cloud domains to identify strategic gaps and drive product direction and features.
What You'll Need:
- 5+ years of hands-on experience in security research.
- Deep understanding of attacker mindset, tradecraft, and real-world exploitation techniques. , with a strong focus on exploitation and adversary-driven analysis.
- Strong technical background in cloud platforms (AWS, Azure, GCP), including how attackers operate within cloud environments.
- Proven experience designing, building, or validating detection logic.
- Highly curious, self-driven, and comfortable working in ambiguous, fast-evolving problem spaces.
- Strong communication skills, both written and verbal, with the ability to clearly articulate complex technical findings.
And Ideally:
- Experience designing or investigating cloud attack paths and complex “toxic combinations” across services and identities.
- Background in offensive security, penetration testing, or red teaming.
- Experience with detection languages or frameworks (Rego, Sigma, YARA or similar).
- Track record of published research, conference talks, or technical blog posts.
- Experience working with product teams and delivering value to customers through the product.
#LI-SK1
#LI-Hybrid
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click here to review.
For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click here to review.
Ready to apply?
Apply to Tenable, Inc.
Staff Vulnerability Researcher - Office of the CTO
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Who is Tenable?
Tenable® is the Exposure Management company. 44,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Role:
Tenable's global CTO group is seeking a Staff Vulnerability Researcher. In this role, you will research various platforms and services to uncover 0-day vulnerabilities in major cloud providers, AI platforms, and technologies. You will lead innovation, solve complex problems, and develop strategies for both attacking and defending cloud and AI environments.
Furthermore, you will be in charge of fostering and spreading Tenable's global CTO group's technical expertise. You will present your novel work at conferences and author papers and blogs. You will also build open-source cloud and AI security tools and solutions.
If you're a curious, creative, technical person with an attacker's mindset, strong systemic thinking, and a passion for taking things apart and understanding how they work, we encourage you to apply.
Your Opportunity:
- Investigate and analyze the multi-cloud stack and AI models to find 0-day vulnerabilities, security holes, weaknesses, and design flaws
- Follow emerging security threats, author blogs about novel research, publish content, and speak at conferences
- Conduct technical research on cloud and AI platforms to yield new insights, theories, analyses, TTPs
- Serve as a technical leader and contributor for a research team exploring emerging cloud and AI technologies and services
What You'll Need:
- 7+ years of experience in cybersecurity research, vulnerability research, or offensive security
- Previous work experience in finding vulnerabilities and publishing research findings
- Experience with and knowledge of high-level systems, web applications, and application security
- Highly motivated, great self-learner, curious, responsible and independent
- Strong communication skills – written and verbal
And Ideally:
- Previous experience in presenting your work at industry conferences
- Experience with Kubernetes and container technology
- Solid programming skills in at least one language (C, C++, Python, GO, Rust)
- B.Sc. or higher in Computer Science, Software Engineering, Mathematics, or equivalent professional background
- Experience with data/security analysis
- Experience with and knowledge of cloud environment architecture (AWS, Azure, GCP)
#LI-SK1
#LI-Hybrid
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. This Notice describes how we collect and use your personal data during and after your working relationship with us, in accordance with the General Data Protection Regulation (“GDPR”). Please click here to review.
For California Residents: The California Consumer Privacy Act (CCPA) requires that Tenable advise you of certain rights related to the collection of your private information. Please click here to review.
Ready to apply?
Apply to Tenable, Inc.
Tel Aviv / Hybrid
Aligned is a customer-facing AI Deal Workspace (Digital Sales Room) that helps revenue teams manage deal complexity by moving the chaotic email-links-files back-and-forth into a single space where deals run. With AI Agents, sellers can enable champions to sell internally, access hidden stakeholders, track buying signals, and follow the company's playbook, all from one shared workspace. No login required for buyers.
We serve 1,000+ paying customers and 1M+ buyers per month, tripled revenue last year, and are recognized by G2 as leaders in AI-driven Digital Sales Rooms. Companies like Deel, SimilarWeb, ServiceNow, and Intel use Aligned to shorten sales cycles by 30% and increase win rates by up to 100%.
We're on a mission to lead the shift from Sales Enablement to Buyer Enablement, because sellers can't sell if buyers can't buy.
What You'll Do
- Own features end-to-end, from discovery and research through spec, design, dev, launch, and iteration. You carry it.
- Run multiple workstreams in parallel while staying pragmatic about what actually moves the needle — if something isn't serving the goal, you let it go.
- Dig deep into user problems before jumping to solutions — talk to users, study competitors, analyze data, and bring insights to the table. Data-driven decisions are your default.
- Write clear PRDs that engineering and design can run with.
- Partner closely with design on UX quality (our moat) and with engineering on feasibility and scope.
- Align product decisions with company goals and GTM strategy, you understand that Aligned is a sales tool and you care about how customers buy.
- Maintain excellent async documentation and team-first process discipline — we're a remote-first team and shared processes are our common language.
- Use AI tools daily to accelerate your research, analysis, and prototyping. You don't just manage AI features, you build with AI.
Who You Are
- 5+ years of product management experience in B2B SaaS. Startup experience is a must.
- Sharp and fast, you pick things up quickly, connect dots, and don't need things explained twice.
- UX-aware with a designer's eye - you feel product quality and treat interaction design as a strategic advantage.
- GTM-connected - you genuinely relate to the world of sales, understand how customers buy, and appreciate the problem we're solving.
- A researcher at heart - you dig into problems, bring insights, and make decisions grounded in data and user research. You're data-oriented above all.
- A pragmatic prioritizer - you know how to distinguish what matters from what doesn't, and you let go of activities that don't serve the goal.
- A team-first process thinker - you appreciate shared processes as the common language of a remote team, and you contribute to making them better.
- Self-driven and resilient - you're intrinsically motivated, take criticism without taking it personally, and have the self-confidence to keep moving forward.
- On an upward trajectory - you've shown clear career progression and you're hungry to grow. We see this role as a stepping stone to leading a PM team within 3–5 years.
- Proven business-analytics proficiency. Comfortable with data, dashboards, and metrics-driven decisions.
- Affection for design and working knowledge of Figma.
- Fluent English. Hebrew preferred.
Why Aligned
- Join a company leading the shift from Sales Enablement to Buyer Enablement.
- Work on a product that 1M+ buyers use monthly and that users genuinely love. Check our G2 reviews.
- Be part of a 40 person team where your impact is felt immediately.
- Work alongside sharp, ambitious people who care about craft.
- Hybrid environment, 2-3 days per week from our Tel Aviv office.
- PLG + AI-first product strategy, you'll be building at the cutting edge.
- Transparency across teams, direct access to leadership, and a culture that values every voice.
Ready to apply?
Apply to Aligned
Quantitative Researcher
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About Us
We’re a proprietary trading firm building systematic quantitative strategies in crypto. Since 2018, we’ve been a consistent liquidity provider across major venues- helping markets become more efficient and mature, while staying comfortable operating at the frontier as market structure evolves.
Our core strategies span market-making, HFT, and statistical arbitrage. We’re a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research pipelines to uncover edges, and low-latency infrastructure and execution software to capture them in production. We trade at scale (~$1B in daily notional volume) in a dynamic, fast-paced, and highly competitive environment.
We’re looking for the brightest, most driven people to join us- collaborative problem-solvers who want ownership, impact, and the chance to work with a team that brings 100+ years of collective quantitative finance experience.
About the position
As a quantitative researcher, you will scale our strategies to new markets and pioneer new alpha-generating frameworks from the ground up.
Key job responsibilities include:
- Analyze large datasets to research crypto signals
- Build, back test, and refine trading and hedging strategies across exchanges
- Monitor and analyze model performance in live trading to come up with improvement ideas
- Adapt existing strategies to new exchanges and crypto products
- Conduct research in niche market forces to improve our trading performance
What We Look For
We are seeking mission-driven problem solvers who possess intellectual curiosity and analytical rigor required to navigate complex, real-time problems in high-stakes trading environments.
The ideal candidate will have:
- Significant experience required in financial markets, cryptocurrencies, crypto assets, and decentralized finance
- Deep understanding of varying crypto market microstructure and macrostructure
- Exceptional quantitative and problem-solving skills
- Strong team player with excellent communication skills
- Ability to use advanced statistics, machine learning models to solve practical problems
- Prior experience working in a data-driven role
Benefits
-
Fully paid medical and dental insurance for all employees and dependents
-
Competitive 401k match and generous wellness benefits.
-
Meals at work and other perks.
Location
We prefer in-person in San Francisco.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Ready to apply?
Apply to Midpoint Markets
Quantitative Developer
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About us
We’re a proprietary trading firm building systematic quantitative strategies in crypto. Since 2018, we’ve been a consistent liquidity provider across major venues- helping markets become more efficient and mature, while staying comfortable operating at the frontier as market structure evolves.
Our core strategies span market-making, HFT, and statistical arbitrage. We’re a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research pipelines to uncover edges, and low-latency infrastructure and execution software to capture them in production. We trade at scale (~$1B in daily notional volume) in a dynamic, fast-paced, and highly competitive environment.
We’re looking for the brightest, most driven people to join us- collaborative problem-solvers who want ownership, impact, and the chance to work with a team that brings 100+ years of collective quantitative finance experience.
About The Position
As a quantitative researcher, you will scale our strategies to new markets and pioneer new alpha-generating frameworks from the ground up.
Key job responsibilities include:
- Analyze large datasets to research crypto signals
- Build, back test, and refine trading and hedging strategies across exchanges
- Monitor and analyze model performance in live trading to come up with improvement ideas
- Adapt existing strategies to new exchanges and crypto products
- Conduct research in niche market forces to improve our trading performance
What We Look For
We are seeking mission-driven problem solvers who possess intellectual curiosity and analytical rigor required to navigate complex, real-time problems in high-stakes trading environments.
The ideal candidate will have:
- Significant experience required in financial markets, cryptocurrencies, crypto assets, and decentralized finance
- Deep understanding of varying crypto market microstructure and macrostructure
- Exceptional quantitative and problem-solving skills
- Strong team player with excellent communication skills
- Ability to use advanced statistics, machine learning models to solve practical problems
- Comfortable operating in a frenetic, high-stakes environment
- Prior experience working in a data-driven role
Benefits
-
Fully paid medical and dental insurance for all employees and dependents
-
Competitive 401k match and generous wellness benefits.
-
Meals at work and other perks.
Location
We prefer in-person in San Francisco.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Ready to apply?
Apply to Midpoint Markets
Research Engineer (Network)
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Welcome to the future of cloud networking and security!
Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
We are looking for proactive, analytical, talented people to join the Cato Security Content team.
As a Research Engineer (Security Network & Apps), you will add content to Cato’s security and network products such as NGWF, CASB, DLP, and more.
Using agentic AI tools (Claude code, Cursor) and modern big data analysis frameworks (Redash, Athena), and network and web analysis tools to analyze network protocols and application traffic.
Joining Cato is an excellent opportunity for network security enthusiasts who are passionate about the future of Networking and Security.
Responsibilities:
- Research and analyze network and application behavior as part of Cato Networks security products (NGFW, CASB, DLP, and more).
- Lead cross-team projects to deliver product development outcomes in partnership with Engineering and Product.
- Focus on the customer’s impact and understand the business perspective.
- Suggest and conduct new research vectors.
- Work with AI tools and coding agents to automate your work and improve efficiency.
- Utilize Cato’s Data Warehouse with big-data technologies to support your work.
Requirements:
- 5+ years of hands-on experience in the cyber/security/network industry.
- Knowledge of networking architecture, OSI model, and protocols (TCP/IP, DNS, TLS, HTTP).
- Experience with SQL or data analysis tools (Kibana, Elastic,etc).
- Experience with at least one scripting language, such as Python.
- Experience (Hands-on) with Wireshark and PCAP analysis or similar tools.
- Used AI tools and coding agents for research, development, and validation- Big advantage.
- Experience with signature development for IPS, Firewall, iOT protection, etc - Big advantage
- Researcher mindset: define a thesis and validate it based on in-depth analysis and technical facts.
- Team player, responsible, critical thinker, and well-organized
Ready to apply?
Apply to Cato Networks
Bioinformatics Researcher II
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Rapidly Growing Life Sciences Technology Company
Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health.
We are looking for a highly motivated Bioinformatics Researcher II to join our team!
As a Bioinformatics Researcher, you will design and execute analyses on Ultima sequencing data. You will join our R&D team in Israel to develop computational methods and scalable pipelines that turn raw data into clear biological insights, working at the intersection of biology, computing, and AI.
How You’ll Contribute
- Build and run pipelines: Design and execute analysis pipelines on sequencing data in a cloud-based environment
- Work across teams: Collaborate with lab scientists, bioinformatic scientists, data scientists, and clinical partners to define requirements, provide analysis support, and influence the direction of our scientific platform
- Develop and adapt methods: Create new algorithms and apply state-of-the-art approaches to turn high-throughput data into biological insights
- Ensure rigor: Use quantitative and computational methods to validate results and strengthen the impact of our findings
Qualifications, Skills, Knowledge & Abilities
- MS or PhD in Computational Biology, Bioinformatics, Computer Science, or a related discipline
- 3+ years of relevant industry or academic experience in a hands-on bioinformatics role preferred
- Demonstrated experience analyzing and interpreting large-scale Next Generation Sequencing (NGS) datasets such as WGS, WES, and RNA-seq
- Expert proficiency in Python for complex data analysis and proficiency in UNIX
- A strong foundation in statistics and quantitative analyses
- Proficiency with software development best practices including version control with Git, containerization with Docker, and unit testing
- Deep expertise in a specific area of genomics, such as somatic variant calling, structural variation, or single-cell analysis
- Hands-on experience deploying and managing bioinformatics workflows in a cloud environment (AWS/GCP) using tools such as WDL, Nextflow or Snakemake
#LI-Hybrid
Ultima Genomics is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunity for all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. See also Ultima Genomics’ EEO Policy and Know Your Rights. If you have a disability or special need that requires accommodation, please let us know by contacting recruiting@ultimagen.com.
Ready to apply?
Apply to Ultima Genomics
Senior Security Researcher
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Big Ideas. Real People.
At Orca, in the right environment and with the right team, talent has no boundaries. This team spirit, together with our drive to always aim high, has quickly earned us unicorn status and turned us into a global cloud security innovation leader. So if you’re ready to join an amazing team of people who inspire each other every day, now is the time to find your place in our pod.
We’re looking for driven and talented people like you to join our CTO office and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
Highlights
- High-growth: Over the past seven 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.
About the role
We’re looking for a Senior Security Researcher to drive high-impact research across cloud, runtime, and application environments, and translate it into product-grade detections. This is a hands-on role for someone who can lead investigations end-to-end: from understanding attacker tradecraft and vulnerabilities, through building reliable detection logic, to influencing product direction.On a typical day you'll
- Lead deep-dive research into real-world attacks, vulnerabilities, and emerging cloud and runtime techniques
- Own complex investigations (DFIR, threat hunting, root-cause analysis) and convert learnings into durable detections
- Design and implement advanced detection logic and analytics across cloud assets, containers, Kubernetes, and Linux runtime telemetry
- Build prototypes and production-ready components that improve detection accuracy, fidelity, and coverage
- Partner closely with engineering and product to shape roadmap priorities and guide implementation details
- Develop research methodologies, testing frameworks, and validation processes for new detections
- Mentor and level up other researchers and engineers through reviews, knowledge sharing, and technical guidance
- Represent the team externally through publications, technical blogs, and conference talks
About you
- 7+ years of experience in security research, detection engineering, incident response, or comparable hands-on security roles
- Demonstrated expertise in at least two of the following areas (and working knowledge in the others):
Linux internals / operating systems fundamentals
Cloud security (AWS/Azure/GCP), including common attack paths and misconfiguration patterns
DFIR, threat hunting, and investigation workflows using telemetry and logs
Vulnerability research or vulnerability management at scale (triage, prioritization, exploitation understanding)
Application and API security fundamentals - Strong programming skills in Python (Go is a strong plus); ability to produce maintainable research code and production logic
- Strong data skills: comfortable working with large telemetry datasets (SQL and log analytics platforms such as Elastic or similar)
- Ability to reason about attacker behavior, build threat models, and validate detections with repeatable testing
- Excellent written and verbal English communication, including the ability to explain nuanced technical tradeoffs to non-research audiences
- Track record of driving cross-team execution and shipping impactful security capabilities
Nice to have
- Experience with Kubernetes and container runtime security
- eBPF or low-level telemetry approaches, syscall or kernel-level visibility
- Reverse engineering and malware analysis
- Offensive security background (web, cloud, exploit development)
- Contributions to open-source security projects or published research
- Experience using automation or AI-assisted techniques to scale research and detection workflows
Success looks like
- You consistently deliver new detections or improvements that measurably reduce false positives and increase coverage
- Your investigations produce clear, actionable insights and influence product direction
- You raise the technical bar for research quality, validation rigor, and operational maturity across the team
Ready to apply?
Apply to Orca Security
Security Researcher
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Big Ideas. Real People.
At Orca, in the right environment and with the right team, talent has no boundaries. This team spirit, together with our drive to always aim high, has quickly earned us unicorn status and turned us into a global cloud security innovation leader. So if you’re ready to join an amazing team of people who inspire each other every day, now is the time to find your place in our pod.
We’re looking for driven and talented people like you to join our team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
Highlights
- High-growth: Over the past seven 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.
About the role
We’re looking for a Security Researcher to help us stay ahead of threats across cloud, runtime, and application environments. This role is intentionally broad and can fit backgrounds in operating systems and Linux internals, vulnerability research, DFIR, penetration testing, and incident response, threat detection, AppSec, and cloud security.On a typical day you'll
- Research and analyze emerging threats across cloud platforms, applications, APIs, and runtime environments
- Investigate attacks and security incidents, then turn findings into improved detections and product capabilities
- Build detection logic, analytics, rules, and signatures for vulnerabilities, exposures, and active threats
- Contribute to runtime and cloud security visibility and detection (Linux, containers, Kubernetes)
- Prototype tools and automation to speed up research and improve detection accuracy
- Share knowledge through internal enablement, blog posts, whitepapers, or conference talks
About you
- 4+ years in security research or security engineering
- Strong foundation in one or more of:
Operating systems (especially Linux)
Vulnerability management/research
DFIR, incident response, or threat hunting
Cloud/container/runtime security - Strong analytical “attacker mindset” and ability to explain complex findings clearly
- Proficiency in Python (Go is a plus)
- Experience working with telemetry and data (SQL/Elastic or similar is a plus)
- Comfortable collaborating across teams in English
Nice to have
- Kubernetes/containers, major clouds (AWS/Azure/GCP)
- eBPF, reverse engineering, offensive security experience
- Open-source security tooling familiarity, or AI/automation in security workflows
Ready to apply?
Apply to Orca Security
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, what’s the role all about?
Join NICE’s Research Group and shape the next generation of AI for enterprise CX. As a Lead Data Science Researcher, you will own highimpact research initiatives across NLP, Vision, and multimodal domains, with a strong emphasis on large language models (LLMs) and agenticAI systems.
You will combine deep handson technical work with leadership—setting direction, mentoring peers, and translating breakthrough ideas into reliable, productiongrade capabilities for NICE’s contact center solutions.
You will collaborate closely with researchers, engineers, product leaders, and subjectmatter experts to define strategy, validate research hypotheses, and lead the transition from experimental agentic systems to reliable, realworld deployments.
How will you make an impact?
- Lead end‑to‑end research initiatives across NLP, Vision, and multimodal modeling, with a strong focus on LLM‑based and agentic‑AI systems.
- Architect, prototype, and evaluate singleagent and multiagent systems, including planning, tool use, memory, and orchestration.
- Establish and own best practices for safe, controllable, and scalable AI agents, including evaluation frameworks, guardrails, fallback strategies, and observability.
- Act as a technical authority on LLM and agentic systems, guiding architectural decisions, evaluation strategies, and engineering tradeoffs.
- Define rigorous offline and online evaluation strategies (KPIs, A/B testing, cost/performance tradeoffs) grounded in realworld constraints.
- Deliver select research components at production quality and partner closely with productization teams to harden and deploy endtoend solutions.
- Mentor researchers and data scientists, raising the bar for technical rigor, engineering quality, and applied research impact.
- Communicate complex findings and risks clearly to crossfunctional stakeholders and leadership.
- Stay at the forefront of AI research, contributing to the team’s agentic‑AI roadmap and long‑term research vision and help set teamwide standards and guidelines.
Have you got what it takes?
- Skills-first profile with proven, hands‑on impact in applied AI. (Formal degrees welcome but not required.)
- Strong Demonstrated experience building production‑grade AI agents that perform multi‑step reasoning and tool‑based actions (e.g., tool invocation, planning, memory).
- Mandatory: Experience with agent frameworks/orchestration layers or custom agent runtimes (e.g., LangGraph/LangChain, semantic routers, workflow engines, or in‑house frameworks).
- Strong practical expertise with LLMs (AWS Bedrock or similar platforms), including evaluation, prompt/program design, and safety patterns.
- Strategic problem-solving leadership: You proactively shape ambiguous business questions into well-defined analytical goals, challenge underlying assumptions, and ensure the work is focused on the problems with the highest impact.
- Bar‑setting analytical rigor—applied pragmatically: You anticipate bias, confounders, and risks of misinterpretation early, apply the right level of methodological rigor for the decision at hand, and help others distinguish between “theoretically perfect” and “fit for purpose.”
- Efficient, scalable thinking: You balance depth with speed, favor simple and robust solutions over unnecessary complexity, turn one‑off analyses into reusable insights, and help the organization avoid reinventing or over‑engineering solutions.
- Track record of translating research into reliable systems in partnership with engineering/product teams.
- Proficiency in Python and modern ML/DL libraries; strong AI engineering skills (clean architecture, testing, CI/CD, observability), as well as familiarity with HuggingFace or similar model ecosystems and open‑source tooling.
- Experience applying GenAI to DS workflows (LLM‑as‑a‑judge, synthetic data generation, weak labeling, automated eval).
- Excellent communication and mentoring skills; fluency in English.
You will have an advantage if you also have:
- Experience with multi‑agent systems, reinforcement learning, or policy optimization for agent control.
- Expertise in multimodal or vision‑based deep learning.
- Operating experience with cloud ML at scale (AWS or equivalent).
- Leading/mentoring globally distributed teams.
What’s in it for you?
Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!
Enjoy NiCE-FLEX!
At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
#LI-Hybrid
Requisition ID: 10398
Reporting into: Group Lead, Data Science, CX
Role Type: Individual Contributor
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
Ready to apply?
Apply to NICE
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, what’s the role all about?
Join NICE’s Research Group and shape the next generation of AI for enterprise CX. As a Lead Data Science Researcher, you will own highimpact research initiatives across NLP, Vision, and multimodal domains, with a strong emphasis on large language models (LLMs) and agenticAI systems.
You will combine deep handson technical work with leadership—setting direction, mentoring peers, and translating breakthrough ideas into reliable, productiongrade capabilities for NICE’s contact center solutions.
You will collaborate closely with researchers, engineers, product leaders, and subjectmatter experts to define strategy, validate research hypotheses, and lead the transition from experimental agentic systems to reliable, realworld deployments.
How will you make an impact?
- Lead end‑to‑end research initiatives across NLP, Vision, and multimodal modeling, with a strong focus on LLM‑based and agentic‑AI systems.
- Architect, prototype, and evaluate singleagent and multiagent systems, including planning, tool use, memory, and orchestration.
- Establish and own best practices for safe, controllable, and scalable AI agents, including evaluation frameworks, guardrails, fallback strategies, and observability.
- Act as a technical authority on LLM and agentic systems, guiding architectural decisions, evaluation strategies, and engineering tradeoffs.
- Define rigorous offline and online evaluation strategies (KPIs, A/B testing, cost/performance tradeoffs) grounded in realworld constraints.
- Deliver select research components at production quality and partner closely with productization teams to harden and deploy endtoend solutions.
- Mentor researchers and data scientists, raising the bar for technical rigor, engineering quality, and applied research impact.
- Communicate complex findings and risks clearly to crossfunctional stakeholders and leadership.
- Stay at the forefront of AI research, contributing to the team’s agentic‑AI roadmap and long‑term research vision and help set teamwide standards and guidelines.
Have you got what it takes?
- Skills-first profile with proven, hands‑on impact in applied AI. (Formal degrees welcome but not required.)
- Strong Demonstrated experience building production‑grade AI agents that perform multi‑step reasoning and tool‑based actions (e.g., tool invocation, planning, memory).
- Mandatory: Experience with agent frameworks/orchestration layers or custom agent runtimes (e.g., LangGraph/LangChain, semantic routers, workflow engines, or in‑house frameworks).
- Strong practical expertise with LLMs (AWS Bedrock or similar platforms), including evaluation, prompt/program design, and safety patterns.
- Strategic problem-solving leadership: You proactively shape ambiguous business questions into well-defined analytical goals, challenge underlying assumptions, and ensure the work is focused on the problems with the highest impact.
- Bar‑setting analytical rigor—applied pragmatically: You anticipate bias, confounders, and risks of misinterpretation early, apply the right level of methodological rigor for the decision at hand, and help others distinguish between “theoretically perfect” and “fit for purpose.”
- Efficient, scalable thinking: You balance depth with speed, favor simple and robust solutions over unnecessary complexity, turn one‑off analyses into reusable insights, and help the organization avoid reinventing or over‑engineering solutions.
- Track record of translating research into reliable systems in partnership with engineering/product teams.
- Proficiency in Python and modern ML/DL libraries; strong AI engineering skills (clean architecture, testing, CI/CD, observability), as well as familiarity with HuggingFace or similar model ecosystems and open‑source tooling.
- Experience applying GenAI to DS workflows (LLM‑as‑a‑judge, synthetic data generation, weak labeling, automated eval).
- Excellent communication and mentoring skills; fluency in English.
You will have an advantage if you also have:
- Experience with multi‑agent systems, reinforcement learning, or policy optimization for agent control.
- Expertise in multimodal or vision‑based deep learning.
- Operating experience with cloud ML at scale (AWS or equivalent).
- Leading/mentoring globally distributed teams.
What’s in it for you?
Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!
Enjoy NiCE-FLEX!
At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
#LI-Hybrid
Requisition ID: 10398
Reporting into: Group Lead, Data Science, CX
Role Type: Individual Contributor
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
Ready to apply?
Apply to NICE
As a Security Researcher for the Axonius Exposures team, you will drive product innovation by performing deep-dive research into vulnerability detection, remediation, and prioritization. You will translate complex research into actionable features that help customers mitigate critical security gaps. This role bridges the gap between technical research and product impact, leveraging AI and asset intelligence to build a market-leading exposure management engine.
Responsibilities
- Vulnerability & Threat Research: Conduct technical analysis of emerging CVEs, misconfigurations, and attack vectors across Cloud, On-prem, and IoT/OT environments.
- Remediation Engineering: Define and prototype effective mitigation strategies, including configuration changes and compensating controls beyond standard patching.
- Data-Driven Prioritization: Develop scoring models using Python and SQL that integrate asset criticality with exploitability data to guide customer security workflows.
- AI Automation: Utilize LLMs and AI tools to automate the parsing of security advisories and scale the mapping of vulnerabilities to organizational assets.
Minimum Qualifications
- Experience: At least 3 years of hands-on experience in security research, vulnerability analysis, or penetration testing.
- Technical Proficiency: Professional experience writing Python scripts for data automation and performing complex data queries using SQL.
- Security Fundamentals: Deep technical understanding of CVSS, EPSS, MITRE ATT&CK frameworks, and common exploitation techniques.
- Network Expertise: Specialized knowledge in network protocols and device communication patterns (identifying device types/vulnerabilities via traffic).
- Project Leadership: Proven track record of leading independent research projects from problem definition to proof-of-concept (POV).
Preferred Qualifications
- Product Experience: Demonstrated ability to work directly with Product and R&D teams to turn research into functional software features.
- AI Integration: Practical experience applying LLMs to accelerate technical analysis or summarize large-scale threat intelligence.
- Advanced Remediation: Experience defining complex mitigation strategies for non-standard environments like IoT or OT.
#LI-HYBRID #LI-ZR1
About Axonius:
Axonius transforms cyber asset intelligence into actionability. With the Axonius Asset Cloud, customers preemptively tackle high-risk and hard-to-spot threat exposures, misconfigurations, and overspending. The integrated platform brings together data from every system in an organization’s IT infrastructure to optimize mission-critical risk, performance, and cost measures via actionable intelligence.
Covering cyber assets, software, SaaS applications, identities, vulnerabilities, infrastructure, and more, Axonius is the one place to go for Security, IT, and GRC teams to continuously drive actionability across the organization. Cited as one of the fastest-growing cybersecurity startups, with accolades from CNBC, Forbes, and Fortune, Axonius supports millions of assets for leading customers across industries and around the world.
Axonius makes it a priority to invest in our people with competitive compensation and benefits, growth opportunities, community-building, and so much more. Learn more about benefits at Axonius.
At Axonius we support a diverse and inclusive workplace and believe in equal employment opportunity. We welcome people of different backgrounds, experiences, abilities and perspectives to apply. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, gender identity, national origin, sexual orientation, citizenship, marital status, disability, or Veteran status.
By submitting your application to us, you acknowledge that your personal data will be processed in accordance with our Global Job Candidate Privacy Notice.
Ready to apply?
Apply to Axonius
About the role:
Forter is looking for a Senior Big Data Engineer to join our growing ML Platform team. This is a great opportunity for an experienced Data Engineer who wants to apply their skills to the world of Machine Learning. Together, we’ll provide the high-throughput tools and distributed systems needed to process billions of data points, ensuring that our models have the feature-rich, reliable data they need to perform in real-time.
ML is central to Forter’s work. It enables us to process billions of dollars worth of e-commerce transactions and identify fraud rings. Precision at scale is crucial—our models depend on engineered features derived from massive datasets. As the volume of data and the complexity of these models grow, we need senior engineers who can solve the "Big Data" challenges inherent in modern MLOps.
Why should you join us?
You’ll be part of a highly proficient engineering team that is the focal point for all ML engineering activity. This role is perfect for a Big Data specialist who wants to own the data-intensive side of ML—building the pipelines and infrastructure that transform raw global traffic into actionable intelligence.
What you will be doing:
- Designing and building the data-heavy components of our ML infrastructure, allowing Forter’s models to make billions of real-time decisions every year.
- Building distributed data processing pipelines that power model training, feature engineering, and offline research at scale.
- Optimizing the "Feature Store" concept—ensuring that the data used for training matches the data used in production for real-time serving.
- Acting as a technical consultant to data scientists and researchers, helping them navigate massive datasets and providing the Spark-based tooling they need to iterate faster.
- Expanding our ML data infrastructure to be scalable and efficient, focusing on the performance of data ingestion and transformation for diverse model types.
- Improving MLOps standards by ensuring data reproducibility, lineage, and quality across the entire model lifecycle.
Who are you?
- 5+ years of experience with large-scale data processing, with deep expertise in Apache Spark.
- 5+ years developing complex software with at least one general-purpose language (preferably Python or Scala).
- Backend and server-side development experience of complex, highly scalable systems.
- Strong understanding of Data Engineering patterns (Partitioning, Sharding, Schema evolution) and how they apply to model performance.
- Interest in Machine Learning concepts—you don't need to be a researcher, but you should understand how data flows into a model.
- Experience working with public clouds (AWS / GCP / Azure).
- Fluent in written and spoken English.
It’d be really cool if you also:
- Are familiar with Databricks or Airflow for orchestrating complex ML workflows.
- Are comfortable in a containerized environment (Kubernetes/Docker).
- Have experience with low-latency, real-time data serving or streaming (Kafka).
About us:
Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.
The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve. Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact.
Trust is backed by data – Forter is a recipient of over 10 workplace and innovation awards, including:
- Great Place to Work Certification (2021, 2022, 2023, 2024, 2025)
- Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025)
- Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
- Anti-Fraud Solution of the Year at the Payments Awards (2024)
Life as a Forterian:
We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstrom can block fraud, drive revenue and improve customer experience.
At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.
Forter is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.
If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@forter.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.
Ready to apply?
Apply to Forter
Product Manager - Access
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Welcome to the future of cloud networking and security!
Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
At Cato Networks, we are rebuilding networking and security from the ground up as a secured cloud service, and we are looking for an excellent and experienced Product Manager to join the Access & Identity team. As a Product Manager in this team, you will be a key member driving Cato’s ZTNA and remote access products to new heights, strengthening our position as the SASE market leaders.
Responsibilities:
Product Managers in Cato’s Access & Identity team are seasoned all-round players who are constantly looking to solve customers’ pain points with product enhancements. Take a look at what we do:
- Work closely with our customers, partners, Sales, R&D, Marketing, Ops, UI/UX, Documentation, Training, and Customer Success teams to deliver best-in-class network and security services in the market
- Break down strategic product-related goals into actionable tasks and manage the execution of these tasks across all relevant departments
- Conduct product research, write detailed product design documents, and manage the end-to-end execution to deliver the feature
- Create and deliver presentations for customers, partners, Sales, Customer Success, and Professional Services teams
- Travel about once a quarter to meet our customers and partners face to face
- And most importantly - work hard and enjoy every moment!
Requirements:
- At least 5 years of B2B product management experience in enterprise security SW company
- Technical background: 4-7 years of previous experience as a software developer, security researcher, product owner, security engineer or professional services engineer, or senior support engineer
- Vast experience with security solutions such as SSE, SASE, remote access (VPN clients and clientless), Cloud Security and Enterprise Browsers
- Ability to demonstrate experience as a strong leader who can prioritize, communicate clearly, and influence across cross-functional teams
- Business driven and Customer first attitude. Support the sales organization in securing new business
- Strong product vision. Ability to conduct market and user research by performing competitive analysis, having ongoing contact with clients understanding their needs, tracking and analyzing user behavior, and following up and responding to user feedback.
- Strong presentation skills, presenting to internal and external audiences.
- High level of UX understanding, and ability to work with UX Experts to create great interfaces and experiences
- Experience with SaaS platforms is an advantage
- Computer science degree is an advantage
Ready to apply?
Apply to Cato Networks
Product Manager - Security
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Welcome to the future of cloud networking and security!
Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
At Cato Networks we are rebuilding the network from the ground up as a secured cloud service and we are looking for an excellent Product Manager that will take a leading part in building the future of our security services. As a Product Manager, you will be a key member of a team driving the product strategy, features, requirements, and orchestrate the launch of new and innovative security features.
Responsibilities:
- Identify challenges, opportunities and requirements of customers and partners, as well as internal stakeholders.
- Break down strategic product-related goals into actionable tasks and manage the execution of these tasks across all relevant departments.
- Define and oversee the implementation of product features.
- Conduct market and user research by performing competitive analysis, having ongoing contact with customers in order to understand their needs, tracking and analyzing user behavior, and following up and responding to user feedback.
- Analyze and report on the functionality of features in production, reflecting on successes and identifying areas for continuous improvement.
- Work across functions in a highly collaborative environment, with R&D teams, Sales, Marketing, and highest executives.
Requirements:
- At least 5 years of B2B product management experience in enterprise security SW company
- Comprehensive experience and deep knowledge of network, endpoint, and cloud security solutions
- Technical background: previous experience as a software developer, security researcher, product owner, security engineer or professional services engineer or senior support engineer
- Demonstrated experience as a product leader who can prioritize, communicate clearly, and influence across cross-functional teams
- High level of UX understanding and ability to work with UX designers
- Experience with SASE and security cloud services is an advantage
Ready to apply?
Apply to Cato Networks
Network & Security Researcher
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Welcome to the future of cloud networking and security!
Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
- Build tools & pipelines: Develop analysis tools, datasets, and reproducible pipelines to support research at scale.
- Deep protocol analysis: Perform in-depth studies of protocol behavior (TCP congestion control, QUIC/HTTP/3, HTTP/2, DNS, DHCP) including edge cases, timeouts, retransmissions, handshake dynamics, and head-of-line effects.
- Network measurement & modeling: Analyze latency, jitter, loss, throughput, and path selection. Build models and KPIs that explain and predict performance.
- Experimentation: Design controlled experiments and A/B tests; reproduce findings in lab environments (emulation/simulation) and validate on real traffic.
- Collaboration with engineering: Translate research into product improvements and platform capabilities; deliver clear specs and reference implementations.
- Communication & thought leadership: Publish results (internal reports, blog posts, talks), create visualizations, and—when relevant—contribute to community.
- Education: BSc + MSc in Computer Science
- Networking expertise (must): Strong foundations in computer networking and Internet protocols: TCP/IP, QUIC/HTTP/3, HTTP/2, DNS, RDP, DHCP, routing (BGP/OSPF/IS-IS), MPLS, NAT, load balancing.
- Data & coding (must): Proficiency in at least one programming language (e.g., Python, Go, or Java) and solid SQL skills; comfort working with large datasets and time-series analysis.
- Big-data & analytics: Experience with big-data platforms and frameworks (e.g., Spark) and databases (NoSQL/relational such as Elasticsearch, MongoDB, MySQL, AWS Athena).
- AI/ML for network analytics: Practical experience applying machine learning to packet/flow/time-series data—feature engineering, clustering/segmentation, anomaly detection, forecasting, and causal analysis—to model performance and inform routing/QoS optimizations; proficiency with Python data stack (pandas, NumPy, scikit-learn); familiarity with PyTorch or TensorFlow is a plus.
- Tools: Hands-on experience with Wireshark, tcpdump/tshark, Scapy, iperf; ability to craft custom parsers and automate experiments.
- Excellent English and communication skills
- Team player, responsible, and well-organized
Ready to apply?
Apply to Cato Networks
Application Security Researcher
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Welcome to the future of cloud networking and security!
Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
- Continuously checking and improving security measures to protect our systems.
- Reviewing system architecture, design, and code to find and fix security weaknesses before they become a problem.
- Helping developers follow secure coding practices and learn how to prevent security risks.
- Staying updated on new security threats and best practices to keep our security standards high.
- Contributing to Cato’s security research blog.
- At least 3 years of experience in application security or vulnerability research.
- Hands-on experience in penetration testing for web, mobile, infrastructure, and thick client applications.
- Experience bypassing security tools like RBI, EDR, and DLP.
- Programming skills, with a preference for Java, Go, or C.
- Ability to find and fix security flaws in open-source libraries and third-party software.
- Knowledge of supply chain attacks and how to prevent them.
- Hands-on experience with AWS cloud attacks and mitigations (preferred).
- Understanding of microservices architectures, Docker, and Kubernetes.
- Strong problem-solving skills and the ability to work independently.
- Good communication skills and a passion for sharing knowledge.
- Understanding of network security and encryption protocols.
- Experience using SAST/DAST tools for static and dynamic code analysis.
- Experience working in Agile teams and collaborating with different departments.
- Security certifications like OSCP, CRTP, OSWE, or similar.
- Ability to lead security projects and initiatives.
- Adaptability to a fast-paced environment.
- Knowledge of current security threats and how to defend against them.
- Experience with writing security blogs, CVE research, or bug bounty programs is a plus.
- BSc in Computer Science- an advantage.
Ready to apply?
Apply to Cato Networks
AI Security - Senior Data Scientist
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Welcome to the future of cloud networking and security!
Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
As part of this exciting journey, Cato recently joined forces with Aim Security — a fast-growing innovator redefining how organizations secure and build with AI.
Backed by Cato’s global reach and powered by Aim’s startup energy, we’re building the future of AI Security together.
We are on a mission to enable enterprises to adopt AI safely and securely. Our approach combines advanced AI research with practical implementation to offer seamless integration and protection for our clients' AI based tools and infrastructure.
We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration.
You won’t be working on isolated experiments. You’ll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic.
This role requires strong scientific discipline and the maturity to balance innovation with practical constraints.
What you’ll do
- End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic.
- Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis.
- Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust.
- Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment.
- 5+ years of hands-on experience applying NLP/DL algorithms, techniques to real-world problems, with strong intuition for textual data and model behavior.
- Experience working with LLMs, with a strong grasp of practical best practices and the judgment to apply them throughout the R&D lifecycle when building task-specific models.
- Strong proficiency in Python and modern DL frameworks (PyTorch, HuggingFace, etc.).
- Experience designing experiments, defining metrics, and analyzing model failures.
- A strong drive to solve complex AI security challenges, with both curiosity and pragmatism.
- Be part of a lean, elite team where your work doesn’t just sit in a backlog — you’ll ship real value, frequently, and see the impact.
- Bridge the best of startup energy with the scale and reach of Cato Networks: you’ll build for enterprise-grade reliability and commercial scale, and also retain the innovation spirit of a startup.
Ready to apply?
Apply to Cato Networks