Full-Time

Public Policy

Demos

Confirmed live in the last 24 hours

Anthropic

Anthropic

1,001-5,000 employees

Develops reliable and interpretable AI systems

Compensation Overview

$260k - $285k/yr

Senior

H1B Sponsorship Available

San Francisco, CA, USA

Currently, we expect all staff to be in one of our offices at least 25% of the time.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
LLM
Python
Machine Learning
Requirements
  • 5+ years of experience in a technical role related to AI/ML, with a strong understanding of large language models and their applications
  • Demonstrated ability to communicate complex technical concepts to non-technical audiences
  • Experience working with or presenting to government officials, policymakers, or in policy-adjacent roles
  • Strong creative problem-solving skills and the ability to develop novel demonstration concepts
  • Excellent verbal and written communication skills, with the ability to adjust your style for various audiences
  • An understanding of the policy implications of AI technology, particularly in areas like national security, government services, and public sector applications
  • Proficiency in programming languages commonly used in AI/ML (e.g., Python) and familiarity with relevant frameworks and tools
  • Experience in creating technical demonstrations, presentations, or educational content
  • A passion for Anthropic's mission of building beneficial AI and a keen interest in the intersection of AI and public policy
  • Comfort with occasional travel to deliver demonstrations in key policy locations (e.g., Washington D.C., Brussels, London)
  • A bias for action, speed, and simplicity in executing projects
  • The ability to thrive in a fast-paced, ambiguous environment while maintaining attention to detail and accuracy
Responsibilities
  • Develop and maintain a comprehensive library of recorded demos and guidebooks for various live demo flows, covering a wide range of policy-relevant scenarios and use cases
  • Create demonstrations that effectively communicate frontier capabilities across enterprise, public sector, and national security contexts, highlighting both opportunities and risks
  • Design demos that illustrate advances in capabilities across model generations and convey the pace of progress in the field
  • Craft demonstrations that provide insights into near-future capabilities likely to have significant societal or national security impacts
  • Develop accessible demos to help non-technical audiences understand the basics of how AI models function
  • Translate complex technical research insights into broadly accessible demonstration material
  • Collaborate with internal research and technical teams to ensure demos accurately represent our technology's capabilities and limitations
  • Work closely with policy team members to identify and develop demos tailored to specific policy audiences and objectives
  • Deliver live demonstrations to high-level government officials, policymakers, and influencers with clarity and impact
  • Continuously innovate on demonstration techniques to effectively convey Anthropic's AI policy views through hands-on experiences
Desired Qualifications
  • Advanced degree in Computer Science, AI/ML, or a related technical field
  • Prior experience working in a government agency, think tank, or policy organization
  • Background in user experience (UX) design or data visualization
  • Familiarity with Anthropic's Responsible Scaling Policy and thoughts on AI governance and coordination

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, is an AI assistant that can perform a variety of tasks for clients across different industries. Claude uses advanced techniques in natural language processing, reinforcement learning, and human feedback to understand and respond to user requests effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also easy to understand and control. The company's goal is to enhance operational efficiency and decision-making for its clients by providing AI-driven solutions that can be tailored to specific needs.

Company Size

1,001-5,000

Company Stage

Series E

Total Funding

$16.8B

Headquarters

San Francisco, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Claude's voice mode enhances user interaction and accessibility.
  • Google Workspace integration positions Claude as a virtual collaborator for enterprises.
  • AI interpretability research is gaining traction, benefiting Anthropic's focus.

What critics are saying

  • Google's Gemini 2.5 Flash model offers cost-effective AI solutions, challenging Anthropic.
  • Goodfire's funding boosts its AI interpretability capabilities, increasing competition.
  • Google's enterprise AI advancements threaten Anthropic's market position.

What makes Anthropic unique

  • Anthropic focuses on AI safety, transparency, and alignment with human values.
  • Claude AI integrates with Google Workspace, enhancing enterprise productivity.
  • Anthropic emphasizes reliable, interpretable, and steerable AI systems.

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Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-4%

1 year growth

7%

2 year growth

2%
VentureBeat
Apr 18th, 2025
From ‘Catch Up’ To ‘Catch Us’: How Google Quietly Took The Lead In Enterprise Ai

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreJust a year ago, the narrative around Google and enterprise AI felt stuck. Despite inventing core technologies like the Transformer, the tech giant seemed perpetually on the back foot, overshadowed by OpenAI‘s viral success, Anthropic‘s coding prowess and Microsoft‘s aggressive enterprise push.But witness the scene at Google Cloud Next 2025 in Las Vegas last week: A confident Google, armed with benchmark-topping models, formidable infrastructure and a cohesive enterprise strategy, declaring a stunning turnaround. In a closed-door analyst meeting with senior Google executives, one analyst summed it up. This feels like the moment, he said, when Google went from “catch up, to catch us.”This sentiment that Google has not only caught up with but even surged ahead of OpenAI and Microsoft in the enterprise AI race prevailed throughout the event. And it’s more than just Google’s marketing spin

SV Daily
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SAN FRANCISCO - Goodfire, an AI interpretability research company, has landed a $50 million Series A funding round led by Menlo Ventures with participation from Lightspeed Venture Partners, Anthropic, B Capital, Work-Bench, Wing, South Park Commons, and other notable investors.

VentureBeat
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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Google has launched Gemini 2.5 Flash, a major upgrade to its AI lineup that gives businesses and developers unprecedented control over how much “thinking” their AI performs. The new model, released today in preview through Google AI Studio and Vertex AI, represents a strategic effort to deliver improved reasoning capabilities while maintaining competitive pricing in the increasingly crowded AI market.The model introduces what Google calls a “thinking budget” — a mechanism that allows developers to specify how much computational power should be allocated to reasoning through complex problems before generating a response. This approach aims to address a fundamental tension in today’s AI marketplace: more sophisticated reasoning typically comes at the cost of higher latency and pricing.“We know cost and latency matter for a number of developer use cases, and so we want to offer developers the flexibility to adapt the amount of the thinking the model does, depending on their needs,” said Tulsee Doshi, Product Director for Gemini Models at Google DeepMind, in an exclusive interview with VentureBeat.This flexibility reveals Google’s pragmatic approach to AI deployment as the technology increasingly becomes embedded in business applications where cost predictability is essential. By allowing the thinking capability to be turned on or off, Google has created what it calls its “first fully hybrid reasoning model.”Pay only for the brainpower you need: Inside Google’s new AI pricing modelThe new pricing structure highlights the cost of reasoning in today’s AI systems

PR Newswire
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Goodfire Raises $50M Series A to Advance AI Interpretability Research

/PRNewswire/ -- Today, Goodfire, the leading AI interpretability research company, announced a $50 million Series A funding round led by Menlo Ventures with...

Aibase
Apr 17th, 2025
Anthropic to Launch Claude AI Voice Assistant, Challenging ChatGPT

Anthropic to launch Claude AI voice assistant, challenging ChatGPT.