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Insider Risk Detection Engineer

About OpenAI:

At OpenAI, our mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. In alignment with our commitment to security and integrity, we are seeking a dedicated Insider Risk Detection Engineer with a strong detection engineering background to strengthen our defense against internal threats. This role is integral to protecting OpenAI's resources and fostering a secure environment for pioneering AI research and development.

About the Role:

As an Insider Risk Detection Engineer, you will combine investigative acumen with detection engineering expertise to proactively identify, analyze and respond to anomalous activities, promote a security-first culture, and work collaboratively across teams to proactively address risks. You play a critical role in developing and tuning detection pipelines, improving our risk posture and fostering a security-conscious culture. You’ll partner cross functionally to detect and respond to anomalous behavior that would jeopardize our mission..

You’ll make an impact at OpenAI by:

  • Leading detection engineering for insider risk, designing and maintaining detection rules, alerting logic and automated response playbooks 

  • Develop, refine, and operationalize insider threat indicators, scenarios, and mitigation strategies.

  • Lead technical  investigations into suspicious activities and collaborate closely with legal, HR, and other stakeholders to address findings.

  • Partner with engineering, IT and security teams to close visibility gaps and ensure telemetry coverage across endpoints, identity systems and collaboration tools 

  • Design, implement, and oversee data loss prevention (DLP) controls to safeguard sensitive information.

  • Produce high-quality investigative reports, assessments, and briefings for senior management and other stakeholders.

You may be a fit for this role if you have: 

  • Educational Background: Bachelor’s degree in a relevant field or equivalent experience.

  • Professional Experience: 5+ years in detection engineering,  insider threat analysis, security operations, or a related domain, with hands on experience building or maintaining detection pipelines 

  • Technical Proficiency: Hands-on experience with SIEM (Security Information and Event Management) platforms and User Behavior Analytics tools.

  • Investigation Expertise: strong ability to perform forensic analysis, correlate disparate data sources and uncover meaningful patterns of anomalous behavior

  • Communication Skills: Ability to convey complex security issues to both technical and non-technical stakeholders with clarity and impact.

  • Collaborative Mindset: A team player who thrives in cross-functional environments and values diverse perspectives.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Average salary estimate

$135000 / YEARLY (est.)
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$120000K
$150000K

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What You Should Know About Insider Risk Detection Engineer, OpenAI

At OpenAI, we're on a mission to ensure that artificial general intelligence (AGI) benefits all of humanity, and we’re looking for a passionate Insider Risk Detection Engineer to join our team in San Francisco. If you have a strong background in detection engineering and a keen investigative mindset, this position might be your perfect fit! As an Insider Risk Detection Engineer, you'll take the reins in leading our defense against internal threats. Your days will be spent proactively identifying and analyzing anomalous activities, collaborating across teams, and promoting a security-first culture. You’ll design and maintain cutting-edge detection rules and automated response playbooks to ensure our operations stay secure and resilient. By developing insider threat indicators and leading technical investigations, you’ll play a crucial role in safeguarding our sensitive information while working alongside stakeholders like legal and HR to tackle any findings effectively. We value your expertise in SIEM platforms and User Behavior Analytics tools, as well as your ability to translate complex security issues into clear communications for different audiences. If you're someone who thrives in a collaborative environment and loves to make a meaningful impact, we invite you to be a part of our journey at OpenAI!

Frequently Asked Questions (FAQs) for Insider Risk Detection Engineer Role at OpenAI
What responsibilities does an Insider Risk Detection Engineer at OpenAI have?

As an Insider Risk Detection Engineer at OpenAI, you will be responsible for leading the detection engineering efforts related to insider threats. Your main tasks will include designing and maintaining detection rules, conducting technical investigations into suspicious activities, and developing insider threat indicators. Collaborating with cross-functional teams to close visibility gaps and implementing data loss prevention controls will also be key parts of your responsibilities, significantly contributing to OpenAI's security posture.

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What qualifications are required for the Insider Risk Detection Engineer position at OpenAI?

To qualify for the Insider Risk Detection Engineer position at OpenAI, you should have at least a Bachelor's degree or equivalent experience in a relevant field. Furthermore, candidates should have 5+ years of professional experience in detection engineering, insider threat analysis, or security operations, with hands-on experience in building detection pipelines. Proficiency with SIEM platforms and User Behavior Analytics tools is also crucial for this role.

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Is prior experience required for the Insider Risk Detection Engineer role at OpenAI?

Yes, for the Insider Risk Detection Engineer role at OpenAI, significant experience is essential. Ideal candidates should have over 5 years of professional experience in relevant fields such as detection engineering and insider threat analysis. Hands-on experience in building or maintaining detection pipelines is crucial to ensure you are well-prepared for tackling the challenges associated with internal threats.

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What skills are essential for an Insider Risk Detection Engineer at OpenAI?

As an Insider Risk Detection Engineer at OpenAI, you will need a mix of technical and interpersonal skills. Similar to strong investigative abilities, a solid proficiency in using SIEM platforms and User Behavior Analytics tools is vital. Additionally, excellent communication skills to clearly convey security issues to diverse stakeholders are equally important, alongside a collaborative mindset that thrives in cross-functional teams.

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How does OpenAI promote a security-first culture for Insider Risk Detection Engineers?

At OpenAI, promoting a security-first culture is at the forefront for Insider Risk Detection Engineers. This is achieved through developing and operationalizing insider threat indicators, conducting training, and collaborating cross-departmentally to foster awareness of potential risks. Engineers are encouraged to engage with teams outside of their own, ensuring that security becomes a collective priority throughout the organization.

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Common Interview Questions for Insider Risk Detection Engineer
What experience do you have with detection engineering in insider threats?

In preparing your answer, emphasize recent projects where you've designed detection rules or investigated suspicious behavior. Discuss specific technologies you used, such as SIEM platforms, and share insights on how your efforts improved the organization's security posture.

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Can you describe a time when you identified a significant insider threat?

Be prepared to share a detailed account of a situation where you detected unusual activity. Focus on the methods you used for detection, your investigative process, how you collaborated with other teams, and the actions taken to mitigate the threat.

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How do you prioritize alerts generated by detection systems?

Explain your approach to triaging alerts based on risk impact, discussing the criteria you consider for prioritization. Mention any methodologies or frameworks you follow, as well as how you ensure a consistent response to high-priority alerts.

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What role does communication play in your work as an Insider Risk Detection Engineer?

Discuss the importance of clear and effective communication with both technical and non-technical stakeholders. Share examples of how you've successfully conveyed complex security matters, fostering a collaborative and understanding environment.

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How do you stay updated on the latest security threats and trends?

Share your strategies for continuous learning, such as following industry leaders, attending conferences, participating in training, or being a member of relevant organizations. Emphasize your commitment to evolving professionally and adapting to new threats.

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What methods do you employ for forensic analysis in your work?

Discuss specific forensic analysis methodologies you’ve utilized. Explain the tools involved, types of data you analyze, and how you correlate information from different sources to unveil patterns of anomalous behavior.

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Describe your experience with data loss prevention (DLP) controls.

In your response, describe your familiarity with DLP systems and your experience in implementing these controls. Highlight instances where you successfully safeguarded sensitive information and how you measure the effectiveness of these controls.

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How do you collaborate with HR and legal teams when investigating insider threats?

Mention your approach to cross-departmental collaboration, emphasizing the importance of confidentiality, compliance, and thorough investigation. Describe a situation where you worked with these departments and what the outcomes were.

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What challenges have you faced in detection engineering, and how did you overcome them?

Identify specific challenges you've encountered, such as false positives or the evolving landscape of insider threats. Discuss how you approached solving these issues, showcasing your problem-solving skills and resilience.

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How do you promote a security-first culture within your team?

Illustrate your efforts in advocating for security within your team, such as conducting training sessions, creating awareness programs, and being a resource for your colleagues. Highlight how you've helped foster an environment where security is a shared responsibility.

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OpenAI is a US based, private research laboratory that aims to develop and direct AI. It is one of the leading Artifical Intellgence organizations and has developed several large AI language models including ChatGPT.

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CULTURE VALUES
Inclusive & Diverse
Feedback Forward
Collaboration over Competition
Growth & Learning
FUNDING
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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 10, 2025

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