At a Glance
- Tasks: Conduct cutting-edge research to identify risks in cloud and AI environments.
- Company: Join Wiz, the fastest-growing startup revolutionising cloud security.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career advancement.
- Why this job: Make a real impact in securing cloud environments for top companies.
- Qualifications: 5+ years in security research with strong scripting and communication skills.
The predicted salary is between 70000 - 90000 € per year.
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster.
SUMMARY
We're looking for a talented AI Security Researcher to join our team and play a critical role in Wiz's foundational, risk-driven approach to cloud security. This role requires deep technical research into complex cloud- and AI-native environments to identify the most significant, unaddressed risks.
WHAT YOU'LL DO
- Conduct deep technical research to discover and report novel risks and attack vectors specific to modern cloud- and AI-native architectures and systems.
- Discover and articulate the highest unaddressed risk areas, working with Product and Engineering teams to translate research into product capabilities.
- Define necessary foundational product capabilities by delivering both compelling proofs of risk (demonstrating impact) and technical POCs (showing how to solve it).
- Work closely with Product and Engineering teams to ensure comprehensive risk coverage and support the investigation of new and complex product scope.
WHAT YOU'LL BRING
- 5+ years of hands‐on experience in security or security research, specifically relevant to modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.).
- Strong hands‐on skills with scripting languages (e.g., Python, Go) for automation and research, as well as query languages (e.g., KQL, SQL) for efficient data analysis of security telemetry.
- Proven ability to work independently, prioritize effectively, and drive complex, multi‐quarter research projects from initial concept through to clear, delivered impact.
- Excellent written and verbal communication skills, with a track record of successfully collaborating with cross‐functional teams (e.g Product, Engineering, Marketing) to achieve shared goals.
ADVANTAGES
- Specialized knowledge or research experience in AI security, focusing on risks to AI as deployed in the enterprise.
- Experience in public‐facing work, such as presenting at recognized industry conferences, authoring technical blog posts, or publishing research.
- Experience conducting data‐driven research and working with large‐scale security telemetry to derive statistically significant or high‐impact findings.
By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal‐opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
AI Security Researcher in London employer: Cacheflow
Wiz is an exceptional employer that fosters a dynamic and innovative work culture, empowering employees to make a significant impact in the rapidly evolving field of cloud security. With a commitment to employee growth, we offer opportunities for creative thinking and collaboration across diverse teams, ensuring that every team member can contribute to our mission of securing cloud environments for leading organisations. Join us at our vibrant location, where you'll be part of a fast-paced startup environment that values world-class talent and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Security Researcher in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Wiz. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a project or research that highlights your expertise in AI security, share it. Whether it's a blog post or a GitHub repo, let your work speak for you.
✨Tip Number 3
Prepare for the interview by diving deep into Wiz's mission and values. Understand their approach to cloud security and think about how your experience aligns with their goals. This will help you stand out!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Wiz team.
We think you need these skills to ace AI Security Researcher in London
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your hands-on experience in security and any relevant projects you've worked on. We want to see how your skills align with the role of AI Security Researcher!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experience and achievements, especially when it comes to complex topics like cloud environments and AI security. We appreciate clarity!
Tailor Your Application:Make sure to customise your application for Wiz. Mention specific experiences that relate to our mission of securing cloud environments and how you can contribute to our growth. We love seeing candidates who understand our goals!
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Cacheflow
✨Know Your Cloud Security Inside Out
Make sure you brush up on your knowledge of cloud environments like AWS, GCP, and Azure. Be ready to discuss specific risks and attack vectors related to these platforms, as well as how your experience aligns with Wiz's mission to secure cloud environments.
✨Showcase Your Research Skills
Prepare to talk about your past research projects, especially those involving AI security or cloud-native architectures. Highlight any novel risks you've discovered and how you translated that research into actionable insights for product development.
✨Communicate Clearly and Confidently
Since collaboration with cross-functional teams is key at Wiz, practice articulating complex technical concepts in a clear and concise manner. Use examples from your previous work to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Demonstrate Your Problem-Solving Skills
Be prepared to discuss how you've tackled complex research projects in the past. Share specific examples of how you prioritised tasks, drove projects to completion, and delivered impactful results, showcasing your independent working style and ability to think creatively.
