In this role, you will drive execution on the team's research initiatives, such as economic index releases, economic briefs and working papers, agents research, Clio observability analyses, and Anthropic interviewer deployments. You will also work backward from business deadlines to set research deadlines/milestones and plan out team capacity.

Key responsibilities include ensuring smooth operating cadence and relationship touchpoints with our research ecosystem, partnering with colleagues on Research, Public Policy, Communications, and GTM to organise briefings and campaigns that amplify key research findings, and supporting the team lead in setting quarterly research priorities and resource allocation.

We are looking for someone with a 5+ year track record managing and delivering on business-critical, cross-functional initiatives, who can quickly gain state on technical domains and navigate organisational complexity, building relationships and influencing without authority.

Sample projects include building a living tracker for critical research workstreams, managing contracting and vendor relationships for commissioned research projects, and coordinating cross-functional alignment for a major academic research partnership.

The annual compensation range for this role is $180,000-$210,000 USD.

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As part of this role, you will collaborate with a dynamic, geographically distributed policy team on a variety of projects, including analysing policy proposals, drafting submissions to requests for public comment, planning and executing policy campaigns in Australia, and providing policy advice to technical colleagues. This is a foundational hire , you will be building Anthropic's policy presence in Australia from the ground up, aligned with the opening of our office in Sydney. This role will also advance our work in the broader region.

In this role, you will:

• Conduct comprehensive mapping of key Australian AI policy stakeholders and build strategic relationships with government officials, think tank researchers, and civil society leaders across federal and state/territory levels

• Brief a diverse set of policy and research actors looking to better understand AI safety and AI policy opportunities in the Australian context

• Convene diverse stakeholders and speak at policy events such as research announcements, discussion panels, or workshops on AI safety topics

• Analyse emerging legislation and develop Anthropic's engagement strategy, including preparing substantive policy submissions and response documents

• Support senior colleagues in external engagements by preparing meeting briefs and taking action on follow-up requests

• Develop new programming and generate opportunities for Anthropic to regularly engage with Australian policymakers, think tanks, and non-profit organisations

• Collaborate with policy and technical teams to translate Anthropic research into concrete policy proposals, stakeholder education, and thought leadership opportunities tailored to the Australian regulatory environment

• Develop and amplify public submissions, responses to requests for information (RFI), and policy memos written by Anthropic to drive positive change in AI policy

• Partner with non-profit organisations and academic researchers to publish discussion papers and policy memos on how to enable responsible AI research and development

• Develop and execute a convening strategy, including workshops or panels that position Anthropic as a thought leader in AI safety and governance in Australia

You may be a good fit if you:

• Have 10+ years of professional experience in government, technology, legal, and/or other policy-relevant environments

• Have a track record of effective, information-rich advocacy with Australian government authorities at the federal and/or state level

• Have experience analysing legislation and engaging in regulatory processes

• Are energised by agency , you will be the first policy hire in Australia and will be building the operation from scratch

• Enjoy drafting and executing complex policy campaigns that move the needle

• Thrive when engaging with policymakers, civil society, and think tanks to translate complex technical topics into accessible and relevant information

• Excel at translating high-level vision into executable operational plans

• Have demonstrated an ability to quickly get up to speed on complex technical areas and policy dynamics

• Are deeply curious about frontier technological research and are eager to work closely with technical colleagues to translate new discoveries into policy outcomes

Preferred qualifications include:

• AI/technology industry experience (heavily preferred)

• Experience working with international companies or organisations

• Academic or think tank background in AI policy or related fields

• Experience in both government and private sector roles

• Familiarity with intelligence and security cooperation frameworks

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Responsibilities: Use proprietary tools to label and evaluate data. Support and ensure the delivery of high-quality curated data. Work with engineers to refine tasks, tools, and workflows. Design, select, and refine tasks grounded in real-world occupational math, for example: Insurance and risk: premiums, deductibles, expected loss calculations, simple risk modeling. Logistics and operations: inventory and reorder policies, capacity/throughput, basic cost optimization. Skilled trades: surveying and land measurement, electrical load calculations, machining tolerances, material estimation, blueprint and scale calculations. Finance and banking: loan amortization schedules, time value of money, portfolio and risk metrics. Accounting and tax: financial statements, reconciliations, depreciation, multi-bracket tax calculations, payroll. Health and social data: rates, ratios, simple biostatistics, survey-based metrics and policy-relevant indicators. Provide detailed, step-by-step solutions and evaluate model responses for correctness, adherence to domain rules (e.g., tax codes, building codes, basic regulatory or business constraints), clarity, and plausibility. Interpret, analyze, and execute tasks based on given instructions.

Basic Qualifications: A Master's or PhD in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Finance, Actuarial Science, or a closely related discipline with strong training in applied/occupational math; or A Bachelor's degree in one of the fields above plus substantial professional experience (e.g., 2+ years) in a math-heavy occupational domain such as finance, banking, insurance, accounting, logistics/supply chain, healthcare analytics, or policy analysis Professional licensure or certification in a skilled trade (e.g., licensed surveyor, master electrician, journeyman machinist) with demonstrated expertise in trade-specific mathematical calculations. Strong proficiency in applied mathematics relevant to at least one of the above domains (e.g., probability and statistics, financial math, optimization under constraints, geometric and measurement calculations, or similar). Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources and databases. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience: Professional certifications in relevant fields (e.g., CFA, FRM, SOA exams, CPA, Six Sigma, PE, licensed surveyor, or similar) or demonstrably equivalent experience. Prior professional experience in one or more domains such as asset management, retail or commercial banking, insurance pricing/reserving, accounting/audit, logistics/supply chain planning, healthcare analytics, public policy analysis, or skilled trades. Previous AI Tutoring experience and/or experience teaching or training others in applied or occupational math topics. Experience building and reviewing complex spreadsheets, financial or risk models, dashboards, technical drawings, or similar artifacts.

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The Market Intelligence team operates at the intersection of technical infrastructure, product, data center development, and the global supply chain. The team provides forward-looking insights on markets, competitors, suppliers, customers, and macro forces to inform CoreWeave's infrastructure investments, product roadmaps, and supply chain strategies across GPUs, networking, power, cooling, and site development.

Key responsibilities include:

• Demonstrated leadership experience building and leading Market Intelligence or strategic analytics teams in AI, hyperscale cloud, or high-growth technology environments
• Proven track record delivering measurable value and cost savings across hyperscale or large-scale infrastructure supply chains
• Deep experience conducting competitive intelligence across neocloud and hyperscale cloud providers, including data center and supply chain strategies
• Strong expertise in supplier ecosystem analysis, including supplier financial health, capacity, pricing, lead times, and technology roadmaps
• Experience analyzing regulatory, public policy, utility, and geopolitical factors impacting global infrastructure supply chains and data center operations
• Advanced capability in strategic analytics and modeling, including demand forecasting, inventory optimization, and commodity procurement models
• Demonstrated ability to influence executive decision-making through data-driven insights and strategic recommendations

Preferred qualifications include:

• Recognized industry expertise through publications, conference speaking, or professional/academic recognition in operations research, supply chain, or market analysis
• Experience supporting both infrastructure strategy and customer acquisition or go-to-market planning
• Exposure to global site development, utilities, or large-scale data center construction ecosystems

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Based in Washington, D.C., you will be the architect of Pinterest's public policy strategy across multiple jurisdictions. You will build and steward the relationships, coalitions, and campaigns necessary to educate policymakers about Pinterest's unique platform, advocate for sound policy outcomes, and ensure the company is recognised as a trusted and responsible technology leader.

The ideal candidate brings broad and deep experience navigating public policy issues pertaining to technology, internet platforms, and digital innovation. The role is ideally suited for a proactive, results-oriented leader who thrives in a fast-paced environment, and is equally comfortable diving into the substance of complex policy challenges, and building the strategic relationships needed to advance Pinterest's policy priorities and protect the company's interests.

Above all, you bring the conviction that thoughtful policy engagement can help build a better, more positive internet.

As the Head of Government Affairs, you will:

• Lead our public policy efforts and advocacy in North America. You will develop and execute our government affairs strategy at the country, state, and local levels and to address the impact of proposals on Pinterest’s products, operations, growth, and strategic initiatives.

• Build trusted relationships with policymakers, issue experts, trade associations, and industry partners to mobilise support on key issues that impact Pinterest’s ability to achieve its mission and support our users.

• Navigate a wide range of technology policy areas, including data privacy, AI governance, content moderation, online safety, children's digital wellbeing, competition/antitrust, intellectual property, and digital advertising.

• Advise colleagues, as well as senior management and cross-functional leaders, about relevant legislative issues and strategies to inform policy development and deliver effective solutions and valuable outcomes.

• Proactively collaborate with external constituencies on a range of issues that matter to Pinterest to ensure our team is thoughtfully engaging on various challenges that could impact our ability to serve Pinners.

• Drive cross functional alignment by partnering with colleagues across Legal, Communications, Trust & Safety, Product, and other teams on integrated advocacy campaigns, strategic positioning, and external engagement that aligns with company objectives across priority jurisdictions.

• Deploy an AI-enabled policy function to track legislative and regulatory developments, map stakeholders, and generate engagement strategies and policy positioning to disseminate actionable recommendations across the organisation.

• Maintain a knowledge base leveraging AI-driven tagging and retrieval mechanisms to ensure consistent, high-quality advocacy materials and to facilitate the development of tailored messaging for various stakeholders.

What we’re looking for:

• 12+ years of progressive experience in government affairs, public policy, or legislative/regulatory roles, with significant focus on the technology sector.

• Comprehensive knowledge of internet platform policy, digital innovation, and the regulatory frameworks shaping the tech industry.

• Excellent communication and public speaking skills and a compelling storyteller who can distill complex technical and policy concepts for diverse audiences, from Capitol Hill to the C-Suite.

• Exceptional strategic acumen with the ability to see around corners, anticipate policy shifts, and develop proactive strategies that protect and advance business interests.

• A strong track record of developing and leading execution of public policy campaigns to address public policy challenges and achieve high-level objectives.

• The ability to work independently and develop and maintain relationships across the company, while working remotely from Washington, DC.

• Demonstrated capacity to operationalise AI tools for policy intelligence, drafting workflows, stakeholder mapping, and issue management.

• You thrive in an environment with changing needs and variability across work and issues week to week.

• Bachelor’s degree in a relevant field such as political science, government or equivalent experience. JD, MPP/MPA also welcome, but not required.

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As a Member of Analytical Staff for The Anthropic Institute, you'll spend your time researching how Anthropic is tackling the challenges the Institute is focused on, synthesizing what you learn from across the organization, and turning that into rigorous analysis that shapes both internal decisions and public understanding.

You'll be talking to colleagues all over Anthropic,building a picture of how different teams are approaching some of the most consequential questions in AI,and then helping the Institute communicate that work and its implications to the world. You will use Claude aggressively, creatively, and daily, to help you surface insights about what Anthropic is doing with regard to these problem areas.

Responsibilities

• Research how Anthropic's teams are working on the Institute's challenges and synthesize findings from across the organization into a coherent picture.
• Partner with teams to help them surface their insights to the world, often working to act as the 'connective tissue' between them and other teams to bring different insights together.
• Produce written analysis and memos about how Anthropic is approaching these problems,for both internal leadership and public audiences.
• Partner with relevant teams to develop and publish public outputs.
• Come up with creative ways to carry our work into the world: sometimes the most impactful way to talk about an issue is through a technical demonstration rather than a blog post or research paper (e.g, Golden Gate Claude, Project Vend, Robodog).

What We're Looking For

• 7+ years of experience in technical policy research, think tank work, or applied research in a domain relevant to the Institute's focus areas (AI, labor economics, national security, or emerging technology governance).
• Track record of publishing or producing work for external audiences,whether policy memos, research reports, white papers, or public-facing analysis.
• Comfort operating at the intersection of technical and policy audiences. You don't need to be an ML researcher, but you can read technical work, ask good questions of the people who produce it, and translate findings accurately for non-technical stakeholders without losing the nuance.
• Demonstrated ability to synthesize across disciplines and bodies of work. You've produced analysis that draws on economics, political science, technology, or organizational behavior,not siloed in one field.
• Deep experience using Claude as a tool for research and organizational knowledge-gathering.

Benefits

The annual compensation range for this role is $295,000-$345,000 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.

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We are seeking a strong operator to serve as the operational backbone of Anthropic's Economic Research team. Your overarching mandate is twofold: 1) clear the brush so our researchers can efficiently execute on key research priorities, and 2) ensure research aspirations and findings translate into concrete policy and commercial outcomes.

In this role, you will drive execution on the team's research initiatives, work backward from business deadlines to set research deadlines/milestones and plan out team capacity, ensure smooth operating cadence and relationship touchpoints with our research ecosystem, and partner with colleagues on Research, Public Policy, Communications, and GTM to organize briefings and campaigns that amplify key research findings.

You may be a good fit if you have a 5+ year track record managing and delivering on business-critical, cross-functional initiatives, have the ability to quickly gain state on technical domains and know enough to be effective, without being a subject matter expert, are skilled at navigating organizational complexity, building relationships, and influencing without authority, can see around corners and anticipate needs when supporting leaders in executing their vision, and are highly organized with the ability to prioritize multiple tasks while maintaining a high attention to detail.

Sample projects include building a living tracker for critical research workstreams, managing contracting and vendor relationships for commissioned research projects, coordinating cross-functional alignment for a major academic research partnership, and working backward from a policy campaign or research publication deadline to organize research milestones and deliverables.

The annual compensation range for this role is $180,000-$210,000 USD.

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We're looking for a highly skilled Member of Technical Staff to join our team at xAI. As a key member of our team, you will design, build, and optimize integrations between xAI's frontier models and international government systems, platforms, and data environments.

Responsibilities:

• Design, build, and optimize integrations between xAI's frontier models and international government systems, platforms, and data environments
• Develop secure, scalable solutions for use cases such as policy analysis, edtech, scientific research support, public health modeling, regulatory workflows, and citizen-facing services across diverse global contexts
• Collaborate on custom SDKs, APIs, developer tools, and documentation tailored for international government and enterprise developers
• Partner with international agency stakeholders to understand requirements, prototype solutions, and iterate rapidly based on real-world feedback, including during on-site assignments
• Contribute to safe deployment practices, including red-teaming, bias evaluation, output filtering, and explainability features for high-stakes non-classified applications in varied regulatory landscapes
• Fine-tune and adapt xAI models for specific international government use cases, incorporating custom guardrails and evaluation frameworks to ensure alignment with mission objectives and ethical guidelines
• Ship production-grade code and features with a bias toward speed, simplicity, and measurable impact

Basic Qualifications:

• 4+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications (strong Python proficiency required; other languages a plus)
• Experience fine-tuning AI models for government or mission-critical use cases, including building evaluations and ensuring safety and performance
• Experience deploying complex AI and data systems in sovereign environments, ensuring compliance with international regulations for technology and AI in government or public sector settings
• Willingness and ability to undertake travel and international assignments to regions such as the Americas, Asia, and the Middle East and potentially more.
• Strong product sensibility: ability to translate ambiguous stakeholder needs into concrete technical solutions
• Demonstrated ability to write clean, maintainable, high-performance code under tight timelines
• Exceptional problem-solving skills and intellectual curiosity,you thrive on hard, ambiguous challenges
• Excellent communication skills; you can explain complex technical concepts to non-technical partners clearly and concisely

Preferred Skills and Experience:

• Prior work on AI safety, governance, red-teaming, or responsible AI deployment
• Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), or API orchestration
• Background in policy-adjacent technical roles, civic tech, or public-interest technology with an international focus
• Contributions to open-source AI projects or developer tools

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Some of your key tasks will include:

• Contributing to the development of strategies to support Anthropic's LATAM policy objectives, including implementation plans and metrics
• Supporting projects to ensure smooth entry to new LATAM markets from a regulatory perspective
• Proposing and developing new programming and generating 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
• Creating initial policy stakeholder maps and devising strategic engagement plans tailored to LATAM political and regulatory contexts
• Collaborating with policy and technical teams to translate Anthropic research into concrete policy proposals, stakeholder education, and thought leadership opportunities relevant to LATAM audiences
• Drafting and amplifying public submissions, responses to requests for information (RFI), and policy memos written by Anthropic to drive positive change in AI policy across the region

To be successful in this role, you should have a strong understanding of the LATAM policy landscape, excellent analytical and communication skills, and the ability to work effectively in a fast-paced environment. You should also be fluent in Portuguese and English, with Spanish fluency being a strong preference.

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You will track and interpret key economic indicators across regions, assess the implications of monetary and fiscal policy decisions, and evaluate how macro trends shape financial markets and risk conditions.

This role sits at the intersection of economics, markets, and strategic decision-making.

You will build forecasts and scenario analyses to understand how shifts in growth, inflation, interest rates, currencies, commodities, and geopolitics may affect asset prices and broader market regimes.

Your work will inform top-down investment views and risk assessments, supporting global macro strategies driven by economic fundamentals rather than individual company analysis.

The ideal candidate is intellectually curious, analytically rigorous, and comfortable working in a fast-moving, high-ownership environment.

Consistent with xAI's flat organisational structure, you are expected to be hands-on, proactive, and able to communicate ideas clearly and concisely to a highly technical and motivated team.

As a Macro Research Analyst, you will contribute directly to this mission by helping the organisation understand large-scale economic systems, feedback loops, and regime shifts that shape global outcomes.

You will structure, analyse, and interpret macroeconomic data across countries and regions, transforming noisy and often incomplete information into coherent economic narratives and testable hypotheses.

Your research will help identify causal relationships, constraints, and second-order effects within complex economic systems,insights that are essential for training, evaluating, and applying advanced AI models to real-world economic and financial questions.

By developing forecasts, scenarios, and risk assessments, you will support xAI's efforts to reason about uncertainty, stress-test assumptions, and evaluate how shocks propagate through global markets and institutions.

Clear communication of your findings will ensure that economic insights are effectively shared across teams, reinforcing xAI's emphasis on rigorous thinking, transparency, and collaborative problem-solving.

In this role, macroeconomic research is not an end in itself, but a tool for advancing deeper understanding.

Your work will help xAI build systems that reason more accurately about economic behaviour, policy trade-offs, and global dynamics,bringing us closer to AI that can meaningfully assist human decision-making at scale.

The Macro Research Analyst will have broad responsibility for analysing global macroeconomic conditions and their implications for financial markets and strategic decision-making.

The scope of the role spans data analysis, economic modelling, and synthesis of macroeconomic developments across multiple regions and asset classes.

The role includes management of ongoing monitoring frameworks for key economic indicators, policy developments, and geopolitical risks.

The analyst will be expected to independently identify emerging themes, develop forward-looking scenarios, and assess how macroeconomic shifts may alter market dynamics, risk exposures, and opportunity sets.

The position requires close collaboration with internal stakeholders, with an emphasis on clear, concise communication of complex economic concepts.

Given xAI's flat organisational structure, the analyst will operate with a high degree of autonomy and accountability, contributing directly to research outputs and strategic discussions rather than functioning in a narrow support capacity.

The scope of the role is intentionally flexible, allowing a high-performing analyst to expand their responsibilities over time by taking ownership of new research areas, developing novel analytical frameworks, and influencing how macroeconomic intelligence is integrated into xAI's broader mission.

Responsibilities:

Monitor and interpret data such as GDP growth, inflation, unemployment rates, interest rates, fiscal/monetary policy, currency movements, commodity prices, and geopolitical events across countries or regions.

Build economic forecasts, scenario analysis, and models to predict how macro forces will affect markets (e.g., how a central bank rate hike might impact equities, bonds, or currencies).

Provide research reports, trade ideas, and recommendations to portfolio managers, traders, or clients. This often informs 'global macro' investment strategies, where decisions are driven primarily by top-down economic views rather than individual company fundamentals.

Identify potential risks (e.g., recessions, currency crises, trade wars) and opportunities arising from economic shifts.

Basic Qualifications:

Strong academic background in economics, finance, mathematics, statistics, or a related quantitative field.

Demonstrated experience in macroeconomic research, global macro investing, economic policy analysis, or a closely related role.

Deep understanding of macroeconomic indicators and frameworks, including growth, inflation, labor markets, monetary and fiscal policy, exchange rates, commodities, and geopolitical dynamics.

Experience building and interpreting economic models, forecasts, and scenario analyses to assess market and policy outcomes.

Ability to synthesise large and complex data sets into clear, structured insights and actionable conclusions.

Strong written and verbal communication skills, with the ability to explain complex economic concepts concisely to both technical and non-technical audiences.

High level of intellectual curiosity and comfort working with uncertainty, incomplete information, and competing hypotheses.

Self-directed, detail-oriented, and capable of operating effectively in a flat organisational structure with minimal oversight.

Proven ability to prioritise effectively, manage multiple research streams, and deliver high-quality work under time constraints.

Preferred Skills and Experience:

3–7 years of experience post-doc.

At least three publications in reputable economics journals (AER, QRE, JPE, Econometrica, etc.) or outlets (The Economist, The Wall Street Journal, Financial Times, etc.).

Prior experience at a global macro hedge fund, asset manager, central bank, international financial institution, policy research organisation, or economic consulting firm.

Strong familiarity with financial markets across multiple asset classes, including rates, FX, equities, and commodities.

Experience producing investment-oriented research, including trade ideas, market commentary, or risk assessments tied to macroeconomic views.

Proficiency with data analysis and modelling tools such as Python, R, MATLAB, or similar quantitative environments.

Experience working with large economic and financial datasets and building repeatable research pipelines.

Ability to evaluate tail risks, regime shifts, and non-linear dynamics in macroeconomic systems.

Interest in applying macroeconomic reasoning to novel problems, including AI-driven applications.

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Your responsibilities include:

• Leading engagement with the policy community, with the U.S. federal government in Washington D.C., U.S. state governments and other governments and governing bodies such as the UK and EU.
• Explain technical AI security issues and connect to policy recommendations and actions.
• Conduct policy analyses on AI, including open source, geopolitical implications for AI, and AI security.
• Analyze trends in AI, such as model and AI artifact usage and effect on workforces.
• Build strong networks with key decision-makers in government and relevant policy organizations.
• Track and analyze relevant policy developments on AI, to inform research and analysis.
• Work closely with technical teams internally on policy documents and research artifacts.

In this role, you will work with one of the most active Machine Learning communities to combine the perspectives of diverse stakeholders and promote better technology governance. You'll interact with Researchers, ML practitioners, ethicists, and data scientists on a daily basis through GitHub, our forums, or slack.

We are seeking candidates who demonstrate an expert understanding of AI related policy issues, such as geopolitics, security, and economic and labor impact. You should have experience working closely with the U.S. federal government and understanding of policy processes. A background in research and analysis, with published work in media outlets or other venues is also required.

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Strategic Risk Analyst

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Intelligence & Investigations

Compensation

• $198K – $320K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analysing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.

We are building a horizontal “radar” for AI abuse and strategic risk—correlating internal signals, external intelligence, and real-world events into clear, actionable priorities for OpenAI’s safety and product decision-makers.

About the role

As a Strategic Risk Analyst, you will help develop and maintain our central view of strategic risk across OpenAI’s products and platforms. You will synthesise internal abuse patterns, upstream and external intelligence, and product and conversational signals into decision-ready risk insights, recurring briefs, and practical prioritisation inputs

You will partner closely with investigators, engineers, and policy and trust and safety counterparts, as well as measurement and forecasting teammates, to translate messy signals into structured judgments (including assumptions and confidence), ranked priorities, and actionable recommendations. This is an opportunity to do high-leverage analysis in a fast-moving environment, where crisp thinking and communication directly shape safety decisions, mitigations, and product readiness.

In this role, you will

• Monitor and analyse internal risk signals (abuse telemetry, investigations outputs, model and product signals) to identify trends, shifts in tactics, and new abuse patterns.

• Conduct upstream and external scanning (OSINT, ecosystem developments, real-world events) and distil implications for OpenAI’s products and threat landscape.

• Identify and deep dive into harms and misuse across products and channels, turning messy signals into clear analytic findings.

• Connect individual incidents into system-level narratives about actors, incentives, product design weaknesses, and cross-product spillover—pressure-testing hypotheses early.

• Produce concise, decision-ready risk briefs and intelligence estimates with explicit assumptions, confidence levels, and what would change the assessment.

• Convert analysis into clear, ranked priorities and actionable recommendations that product, safety, and policy teams can execute on.

• Define and track key risk indicators and outcome metrics to evaluate whether mitigations are working and drive course corrections when needed.

• Build early-warning and monitoring capabilities with data, engineering, and visualisation partners, including dashboards that highlight leading indicators and unusual changes.

• Contribute to product readiness and launch reviews; develop reusable playbooks, FAQs, and briefing materials that help teams respond consistently.

• Drive cross-functional alignment by tailoring readouts to investigations, engineering, policy, trust and safety, and product stakeholders—and ensuring decisions and follow-ups are crisp.

You might thrive in this role if you

• Significant experience (typically 5+ years) in trust and safety, integrity, security, policy analysis, or intelligence work.

• Demonstrated ability to analyse complex online harms and AI-enabled misuse (e.g., harassment, coordinated abuse, scams, synthetic media, influence operations, brand safety issues) and convert analysis into concrete, prioritised recommendations.

• Strong analytical craft: you can identify weak signals, form hypotheses, test them quickly, state assumptions explicitly, and communicate confidence and uncertainty clearly.

• Comfort working across qualitative and quantitative inputs, including (1) casework,

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We are seeking a highly organized and skilled Policy Manager with exceptional writing, analytical, program management, and strategic thinking abilities to join our Global Affairs team, in the Policy Development and Operations team.

About the Team

OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. Accordingly, our Global Affairs team builds authentic, collaborative relationships with public officials and the broader AI policymaking community to inform and support our shared work in these domains.

About the Role

The Policy Development and Operations team is responsible for identifying, tracking, and analyzing emerging legislative and regulatory proposals globally. They lead and coordinate the development of global public policy positions that are informed by legislative trends and OpenAI's unique technical expertise, coordinate policy campaigns across regions, and integrate regional perspectives in order to represent Global Affairs in company-wide initiatives such as product launches.

Key Responsibilities

• Develop proactive policy positions by working closely with regional teams to analyze legislative and regulatory proposals and provide issue-area expertise.
• Synthesize legislative trends and regional insights, apply cross-functional perspectives, and exercise policy judgement to clearly articulate key decisions, trade-offs, and areas of alignment or disagreement.
• Help evolve the team's policy development processes and systems to support effective engagement across regions and campaigns, enabling Global Affairs to prioritize issues, allocate resources, and respond to emerging policy developments.
• Contribute to the Global Affairs team's broader thinking about what proactive policies to advance and advocate for and how to best position those policies to succeed around the globe.

Requirements

• 3+ years of experience in policy development, public policy, or a related field.
• Strong analytical and writing skills, with the ability to distill complex policy issues into clear and concise language.
• Excellent communication and interpersonal skills, with the ability to build relationships with stakeholders at all levels.
• Ability to work in a fast-paced environment and prioritize multiple tasks and deadlines.

What We Offer

• Competitive salary and benefits package.
• Opportunity to work with a dynamic and innovative team.
• Professional development opportunities.

How to Apply

If you are a motivated and detail-oriented individual who is passionate about policy development and public policy, please submit your application, including your resume and a cover letter, to [insert contact information].

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