Anthropic Logo

Anthropic

Policy Design Manager, Age-Appropriate Design

Reposted 4 Days Ago
Be an Early Applicant
In-Office
New York, NY, USA
245K-285K Annually
Mid level
In-Office
New York, NY, USA
245K-285K Annually
Mid level
The Policy Design Manager will develop usage policies focusing on age-appropriate design, conduct policy evaluations, review flagged content, and collaborate with teams on safety interventions and guidelines, ensuring child safety and managing adult content policies.
The summary above was generated by AI
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 a Safeguards Policy Design Manager, you will be responsible for developing usage policies, clarifying enforcement guidelines, and advising on safety interventions for our products and services. Your core focus will be on age-appropriate design and experiences, including child safety, age assurance, content classification, and adult sexual content. You will help define best practices for developers building on claude for deployment to users across different developmental stages, design age-assurance policies that protect minors from inappropriate content and interactions, and establish clear boundaries for adult content and experiences. In addition, you will advise teams on opportunities for age-appropriate helpfulness, including advising cross-functional teams on beneficial use cases for younger users where appropriate. Safety is core to our mission and you’ll help shape policy creation and development so that our users can safely interact with and build on top of our products in a harmless, helpful and honest way.

*Important context for 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:
  • Serve as an internal subject matter expert, leveraging deep expertise in child safety, adult content, youth development, and age-appropriate design to:

    • Draft new policies that help govern the responsible use of our models for emerging capabilities and use cases

    • Design evaluation frameworks for testing model performance in areas of expertise

  • Conduct regular reviews and testing of existing policies to identify and address gaps and ambiguities

  • Review flagged content to drive enforcement and policy improvements

  • Update our usage policies based on feedback collected from external experts, our enforcement team, and edge cases that you will review

  • Work with safeguards product teams to identify and mitigate concerns, and collaborate on designing appropriate interventions for users across different age groups

  • Advise on age assurance approaches and content classification frameworks in partnership with Enforcement, Product, Engineering, and Legal teams

  • Educate and align internal stakeholders around our policies and our approach to safety in your focus area(s)

  • Keep up to date with new and existing AI policy norms, regulatory requirements (e.g., age-appropriate design codes), and industry standards, and use these to inform our decision-making on policy areas

You may be a good fit if you have experience:
  • As a researcher, subject matter expert, or trust & safety professional working in one or more of the following focus areas: child safety, youth online safety, age assurance, developmental science, content classification and rating systems, or adult content policy. Note: For this role, an advanced degree in developmental psychology, child development, education, or a related field is preferred.

  • Drafting or updating product and / or user policies, with the ability to effectively bridge technical and policy discussions

  • Designing or implementing age-appropriate experiences, age assurance mechanisms, or content classification / labeling systems

  • Working with generative AI products, including writing effective prompts for policy evaluations and classifier development

  • Aligning product policy decisions between diverse sets of stakeholders, such as Product, Engineering, Public Policy, and Legal teams

  • Understanding the challenges that exist in developing and implementing product policies at scale, including in the content moderation space

  • Thinking creatively about the risks and benefits of new technologies, and leveraging data and research to inform policy recommendations

  • Navigating and prioritizing work efforts amidst ambiguity

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

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.

Similar Jobs

2 Minutes Ago
Hybrid
New York, NY, USA
230K-260K Annually
Senior level
230K-260K Annually
Senior level
Artificial Intelligence • Productivity • Software
Build and operate high-signal detections across cloud, identity, endpoints, and SaaS. Improve detection platforms, automation, and triage tooling (including LLM-based workflows). Translate threat TTPs into telemetry and detections, participate in incident response/on-call, track metrics like MTTD and alert quality, and drive detection engineering improvements across the org.
Top Skills: AWSAzureEdrEqlGCPKqlKubernetesLlmsPantherSIEMSigmaSoarSplYara-L
An Hour Ago
In-Office
New York, NY, USA
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Serve as the primary technical owner for strategic enterprise clients, delivering elevated technical support, advising on product adoption and architecture, resolving escalations, supporting QBRs, analyzing support/performance data, collaborating with sales/product/engineering, and recommending optimizations and upsell opportunities.
Top Skills: Api ArchitectureRestful Apis
An Hour Ago
Hybrid
New York, NY, USA
77K-202K Annually
Senior level
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead supply chain assessments and develop strategies to improve efficiency, reduce costs, and increase responsiveness. Advise clients on technology and analytics, manage client relationships, mentor junior staff, and apply critical thinking to solve complex operational problems while upholding professional standards.
Top Skills: Data AnalyticsRelexSupply Chain Management Software

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account