Product Policy Manager, Product Risk
- Location
- Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
- Workplace
- Hybrid
- Compensation
- $245k – $285k
About this role
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 Team
As the Product Policy Manager for Product Risk, you will play a crucial role in setting and executing the Safeguards team’s approach to assessing product launches for safety risks and working with XFN stakeholders to drive appropriate safety mitigations. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including, product, legal, public policy, and engineering teams to understand upcoming features, anticipate potential misuses or unintended consequences, and craft policies that balance innovation with responsibility. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as we continue to expand our product capabilities.
IMPORTANT CONTEXT ON THIS ROLE: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.
Responsibilities:
- Develop and maintain risk assessment frameworks to identify and evaluate potential safety risks associated with new product features and functionality
- Conduct and drive comprehensive product safety reviews, covering technical and non technical harms, to inform product launch and safety mitigation strategies
- Collaborate closely with a variety of stakeholders including product and engineering teams and the broader Safeguards team to leverage deep policy, enforcement, and engineering expertise
- Analyze the potential for misuse, unintended consequences, and harmful outputs of new model and product capabilities and translate this analysis into mitigations delivery.
- Leverage SME risk assessments to inform overall product safety recommendations
- Design and run bespoke evaluations for products that require tailored assessment and contribute to our product safety evaluations strategy.
- Craft policy recommendations that strike a balance between enabling innovation and ensuring responsible AI deployment
- Stay current on industry trends and emerging risks in AI development to proactively address potential issues
- Contribute to regular reports on product policy risks and mitigations for senior leadership
Minimum Requirements:
- Have a strong technical background while also feeling equally comfortable explaining highly technical concepts to non-technical stakeholders
- Understand safety policies and safety considerations associated with a wide range of product surfaces
- Are adept at prioritizing where, and how, to focus resources for safety mitigations in a high volume launch process
- Have conducted risk evaluations of novel products in fast moving organizations
- Demonstrated expertise collaborating with product and engineering teams to integrate safety considerations into product development
- Have a thorough understanding of AI ethics, responsible AI principles, and current debates surrounding AI safety and governance
- Have the ability to think creatively about potential misuses of technology and develop innovative solutions to mitigate risks
- Have shown strong program management skills with the ability to drive policy development processes from ideation to implementation
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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