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.
As Policy Analyst, LATAM you will ensure effective execution of complex cross-functional plans that advance key company priorities across Latin America, help the company assess and engage in emerging policy opportunities, and address challenges throughout the region. A key priority will be to engage external stakeholders across LATAM to drive progress in AI policy and AI safety. You will also collaborate with Policy and cross-functional colleagues on a variety of other projects, including strategically expanding our product and policy influence into new LATAM markets, developing new policy proposals, and drafting submissions to requests for comment.
In this role, you will:Contribute to the development of strategies to support Anthropic's LATAM policy objectives, including implementation plans and metrics
Support projects to ensure smooth entry to new LATAM markets from a regulatory perspective
Propose and develop new programming and generate opportunities for Anthropic to build relationships with policymakers, think tanks, and non-profit organizations across Latin America, with particular focus on Brazil and other key regional markets
Create initial policy stakeholder maps and devise strategic engagement plans tailored to LATAM political and regulatory contexts
Collaborate with policy and technical teams to translate Anthropic research into concrete policy proposals, stakeholder education, and thought leadership opportunities relevant to LATAM audiences
Draft and amplify public submissions, responses to requests for information (RFI), and policy memos written by Anthropic to drive positive change in AI policy across the region
Are fluent in Portuguese and English (Spanish fluency is also strongly preferred) with the ability to engage policymakers, draft materials, and navigate stakeholder conversations in Portuguese
Have a track record of supporting tech and AI policy advocacy in LATAM, with deep familiarity with Brazil's regulatory landscape and broader regional policy dynamics
Are a skilled researcher, analyst, and writer
Thrive when engaging with governments, policymakers, and civil society to translate complex technical topics into accessible information
Know what resources and narratives will be useful for LATAM policymakers to understand and act on a particular issue area
Have demonstrated success in identifying and convening stakeholders at a regional level across Latin America
Have experience working in a fast-paced, cross-functional and global team
Are motivated to better equip LATAM governments to understand the pace of progress in the AI field and develop effective policies
Have a deep curiosity for frontier technological research and are eager to work closely with technical colleagues
Have extensive experience engaging government regulatory authorities in Brazil, Mexico, and other major LATAM markets from a private sector perspective
Have demonstrated an ability to quickly get up to speed on complex technical areas and policy dynamics
Have a background in entrepreneurship; this role will suit people who are excellent at networking from a 'cold start' and who figure out unconventional and effective ways to garner policymaker attention
Have existing relationships with LATAM think tanks, civil society organizations, or multilateral institutions working on technology policy
This role is based in our San Francisco headquarters. We expect this job will require regular travel to Latin America.
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.
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.
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
Anthropic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.
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Strong & Reliable Incentives — Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
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Healthcare Strength — Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
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Parental & Family Support — Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.
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What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
