Insider Risk Investigator - Technical Specialist
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
We are seeking an exceptional Insider Risk Investigator with a technical investigations background to support and protect Anthropic’s mission. The Insider Risk Team works cross-functionally to deter, identify, investigate and mitigate risks to Anthropic’s IP and trade secrets. In this role, you will have the opportunity to strengthen our security capabilities from the ground up alongside our world-class research and security teams.
Responsibilities- Independently conduct comprehensive end-to-end insider risk investigations while working closely with IT, SecEng, Legal, HR and other cross-functional teams.
- Build and manage an Insider Risk focused detection queue, collaborate with SecEng colleagues to iterate and evolve observability/detection across the network.
- Assist in iterating and improving on processes, procedures and systems to detect and investigate insider risks.
- Work cross-functionally to develop, refine and operationalize insider risk indicators, scenarios and mitigation strategies.
- Build out digital evidence collection and analysis processes and procedures.
- Support education and awareness programs to promote a robust security culture.
- Bachelor’s degree and/or higher education in a related field.
- 8+ years of experience in insider risk analysis, investigations, cybersecurity or a related domain.
- Knowledge of DLP, UEBA, SIEM, SOAR and other insider risk security tooling.
- Broad understanding of internal and external investigations, cybersecurity, surveillance, interview techniques, risk assessment and managing strong cross-functional relationships.
- Exceptional communication, collaboration skills and the ability to lead projects with little guidance.
- Experience working in the technology industry or at/with AI/ML companies.
- Experience contributing to a high growth startup environment.
- Specialized knowledge of risks unique to the AI sector.
- Certified Fraud Investigator (CFE) credential.
- 100% of the skills needed to perform the job
- All certifications or educational credentials listed
- Prior experience working in the AI field
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
How we're differentWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.