Jobs

Product Policy Manager, Frontier Risk
Remote-Friendly (Travel-Required) | San Francisco, CA | Washington, DC
·
Remote
·
Full-time
·
1mo ago
Compensation
$245,000 - $285,000
Benefits & Perks
•Flexible work arrangements
•Team events and activities
•Professional development budget
•401(k) matching
•Competitive salary and equity package
•Flexible Hours
•Learning
•Equity
Required Skills
Python
Node.js
JavaScript
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 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 cross functional 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:
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Develop and maintain risk assessment frameworks to identify and evaluate potential safety risks associated with new product features and functionality
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Conduct comprehensive product safety reviews, covering technical and non technical harms, to inform product launch and safety mitigation strategies
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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
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Analyze the potential for misuse, unintended consequences, and harmful outputs of new model and product capabilities
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Leverage SME risk assessments to inform overall product safety recommendations
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Design and run bespoke evaluations for products that require tailored assessment
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Craft policy recommendations that strike a balance between enabling innovation and ensuring responsible AI deployment
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Work with the Safeguards enforcement team to develop clear guidelines for implementing new policies related to product features
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Lead agentic product policy development, incorporating internal and external feedback
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Stay current on industry trends and emerging risks in AI development to proactively address potential issues
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Contribute to regular reports on product policy risks and mitigations for senior leadership
You might thrive in this role if you**:**
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Have a strong technical background while also feeling equally comfortable explaining highly technical concepts to non-technical stakeholders
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Understand safety policies and safety considerations associated with a wide range of product surfaces
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Are adept at prioritizing where, and how, to focus resources for safety mitigations in a high volume launch process
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Have conducted risk evaluations of novel products in fast moving organizations
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Demonstrated expertise collaborating with product and engineering teams to integrate safety considerations into product development
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Have familiarity with AI ethics, responsible AI principles, and current debates surrounding AI safety and governance
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Have the ability to think creatively about potential misuses of technology and develop innovative solutions to mitigate risks
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Have shown strong project 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.
Annual Salary:
$245,000—$285,000 USD
Logistics 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.
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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About Anthropic

Anthropic
Series FAn AI safety and research company that builds reliable, interpretable, and steerable AI systems.
1,001-5,000
Employees
San Francisco
Headquarters
$60B
Valuation
Reviews
4.5
20 reviews
Work Life Balance
3.0
Compensation
4.5
Culture
4.8
Career
4.2
Management
3.5
100%
Recommend to a Friend
Pros
Exceptional team quality and talent
Cutting-edge AI and technical work
Strong mission-driven culture
Cons
Long working hours
Opaque leadership and management
High learning curve and fast pace
Salary Ranges
31 data points
L4
M3
M4
M5
M6
L4 · Product Manager
0 reports
$545,615
total / year
Base
-
Stock
-
Bonus
-
$463,272
$627,958
Interview Experience
5 interviews
Difficulty
4.0
/ 5
Offer Rate
40%
Experience
Positive 40%
Neutral 40%
Negative 20%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
System Design Round
6
Final Round/Onsite
7
Offer
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
ML/AI Concepts
News & Buzz
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4.8/5 overall rating. Compensation rated 4.9/5, Work-Life Balance rated 3.6/5 (lowest). Reports of 60+ hour weeks during peak periods.
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