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Audit and Compliance

AnthropicFriendly (Travel | Required) San Francisco | Ca Seattle | Wa New York City, New York, United StatesRemote, Onsite

About Anthropic


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.

About the role


As part of the Anthropic security department, the compliance team owns understanding security and AI safety expectations, as established by regulators, customers and (nascent) industry norms (which we also seek to influence). The compliance team uses this understanding to provide direction to internal partners on the priorities of security and safety requirements they must meet. The compliance team assures regulators and customers that those expectations are met by earning security credentials and responding to direct inquiry about Anthropic's security program from auditors, customers and partners. This opportunity is unique, as we work to secure today’s most novel and valuable asset types, we must build a new kind of compliance program, assuring the safety of artificial intelligence capabilities.

Responsibilities:


  • Plan and lead engagements with independent assessors to earn certifications and attestations important to Anthropic customers.
  • Understand the breadth of Anthropic’s security capabilities and how those capabilities implement common security frameworks, such as NIST 800-171, ISO 27001, and SOC2.
  • Drive programs to improve the ease and rigor of Anthropic’s compliance to its security controls and standards. 
  • Write, update and enact policies capturing security and AI safety requirements.
  • Support maintenance of Anthropic’s system of controls through audit, recordkeeping, and communication.

You may be a good fit if you:


  • Have experience in audit planning, procedures and related compliance work to achieve FedRAMP and CMMC 
  • Are familiar with audit planning and procedures for compliance with ISO certifications, SOC attestations, and similar assessments
  • Have built or significantly improved a common controls framework
  • Write clear and useful security documentation
  • Thrive in a fast-paced and growing organization
  • Are comfortable organizing time-bounded task management of delegated work streams across a diverse organization
  • Have 7+ years of experience in a role with similar responsibilities

Strong candidates may also have experience with:


  • Be familiar with AWS / GCP security capabilities, especially identity and access management features.
  • Understand development of large language models (LLMs)
  • Have some experience implementing automated enforcement of security controls

Deadline to apply: 

None. Applications will be reviewed on a rolling basis. 
The expected salary range for this position is:Annual Salary:$270,000—$270,000 USD

Logistics


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 different


We 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.

Life at Anthropic

Anthropic PBC is a U.S.-based artificial intelligence (AI) startup company, founded in 2021, researching artificial intelligence as a public-benefit company to develop AI systems to “study their safety properties at the technological frontier” and use this research to deploy safe, reliable models for the public. Anthropic has developed a family of large language models (LLMs) named Claude as a competitor to OpenAI’s ChatGPT and Google’s Gemini.
Thrive Here & What We Value1. Mission-driven organization focused on creating safe and beneficial AI systems2. Collaborative team working towards long-term goals of steerable, trustworthy AI3. Emphasis on impact rather than smaller puzzles4. View AI research as an empirical science with physics and biology parallels5. Values communication skills and frequent research discussions to ensure highest-impact work6. Believes in big science approach to AI research7. Collaborative group that values impact over smaller puzzles8. Emphasizes collaboration and alignment across internal teams9. Commitment to creating reliable, interpretable, and steerable AI systems10. Values representation and diverse perspectives on the team.</s>
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