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Anthropic Fellows Program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on empirical projects aligned with Anthropic's research priorities, aiming to produce public outputs like paper submissions. The program runs multiple cohorts yearly with rolling application reviews, expecting a start in January 2027 but flexible start dates can be requested. The program includes 4 months of full-time research, direct mentorship from Anthropic researchers, access to a shared workspace, connection to the AI safety and security research community, a weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country, and funding for compute (~$15k/month) and other research expenses. The interview process involves an initial application and reference check, technical assessments and interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every qualification, with emphasis on diversity and inclusion. There are two main fellow tracks: ML Systems & Performance Fellows: - Mentors include Alwin Peng and Zygi Straznickas. - Projects may involve building CPU simulators for accelerator workloads, adding backends for accelerators on open source projects, building on-demand infrastructure, and creating complex synthetic data or environment pipelines. - Candidates should have strong software engineering skills, experience with complex ML systems, ability to balance research and engineering rigor, comfort with large-scale distributed systems and high-performance computing, experience with training or evaluating large language models, and skills in analyzing and debugging model training. - Fluency in Python and full-time availability are required. Reinforcement Learning Fellows: - Mentors include Ruhua Jiang, Kaidi Cao, Sunny Duan, David Brandfonbrener, Colt Steele, Dino Distefano, and Will Williams. - Projects may include building model-based tools to understand and improve AI training data, research on generalization, creating RL environments to improve Claude models and safety-related tasks, and research and implementation of RL algorithms. - Candidate criteria are similar to ML Systems Fellows. Logistics: - Participants must have work authorization and be located in the US, UK, or Canada during the program. - Shared workspaces are available in San Francisco; remote participation is allowed in the UK, US, or Canada. - Visa sponsorship is not provided; candidates must have or obtain full-time work authorization independently. - The program duration is 4 months full-time, with possible extensions and flexibility for partial commitments. Additional notes: - No guarantee of full-time offers post-program, though strong performers may receive offers or continue impactful AI safety work elsewhere. - Anthropic's full-time role policies do not apply to the Fellows Program. - The company emphasizes collaborative, large-scale AI research with a focus on safety, interpretability, and steerability. - Candidates must be fluent in Python and able to commit full-time. - The program values diversity and encourages applications from underrepresented groups. - Safety advice is provided regarding recruitment communications. Apply at the provided link.

Location: Seoul, South Korea 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 an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises in Korea understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers in Korea throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders, including global teams across time zones, to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to span the gamut from technical deep dives for engineering and development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases, including Korean language use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in people management for the technical sales roles. Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, including C-suite executives, engineering and IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Fluency in Korean and English 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.

Location: San Francisco, CA | New York City, NY 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 We are seeking an experienced and strategic transactional attorney to join the IP team within our growing legal department. In this role, you will be responsible for the IP side of Anthropic's transactions, partnering with the M&A and commercial counsel who lead each deal. You will conduct IP diligence and negotiate IP terms for our acquisitions and investments, help advise on IP terms in our most complex commercial and research agreements, and drive the playbooks and processes that make our processes scalable. You will partner closely with the Head of IP (direct manager), our M&A and Commercial Legal teams, and Corporate Development on questions and issues that are very often new. Responsibilities Lead the IP workstream on acquisitions and strategic investments, from diligence through letters of intent, definitive agreements, closing, and integration, alongside our M&A counsel and outside counsel Partner with commercial counsel on the IP aspects of complex enterprise, partnership, research collaboration, and vendor agreements, advising on and negotiating IP terms Serve as the primary point of contact on IP terms for commercial legal and other colleagues, and help train them so they can resolve more IP questions on their own Drive the playbooks, templates, and processes that let a lean team handle IP terms across a high volume of deals Contribute to broader IP strategy, particularly where transactions intersect with open source, trade secrets, patents, or new business models Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Have substantial experience leading IP due diligence and negotiating IP terms in technology M&A Have first-chair experience negotiating IP provisions in complex commercial technology agreements, such as licenses, joint development agreements, and services agreements Have the ability to communicate IP risks and tradeoffs clearly to business leaders and non-specialist lawyers, and to exercise sound judgment about when to hold a position Have strong working knowledge of open source licensing, employee and contractor IP assignment obligations, and trade secret protection Preferred qualifications 10+ years of transactional IP experience at a nationally recognized law firm, a technology company, or both Experience building negotiation playbooks, templates, or diligence processes that other lawyers relied on Experience with AI, machine learning, data licensing, or other emerging technology Curiosity about AI and a commitment to its responsible development 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: $335,000 — $385,000 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.

Location: San Francisco, CA | New York City, NY 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 Anthropic is seeking a Privacy Counsel to join our Legal team. You'll counsel on complex privacy issues and build the processes and programs that address privacy and data protection in a global context. This is a unique opportunity to join a dynamic and growing team, where you will have the chance to shape the company's privacy and data protection strategy and compliance program. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, partnering cross-functionally with Legal, Integrity & Compliance, Safeguards, Security, Policy, Research and Product. Key responsibilities Counsel product, research and engineering teams across the model and product lifecycles, applying laws written before frontier AI with clarity and fresh thinking Translate complex technical architecture into clear, actionable risk advice Deliver integrated guidance on safety, security and data protection Lead privacy on Anthropic's most strategic deals and partnerships, opening creative paths for novel technologies Negotiate privacy and data protection terms in enterprise, platform and partnership commercial agreements, including DPAs, BAAs, data sharing agreements and cross-border transfer terms Lead privacy diligence on mergers and acquisitions, and support corporate governance Collaborate closely with counsel and privacy colleagues on joint analysis, bringing competing views together into a single, well-reasoned position Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Hands-on experience advising a technology business (in-house or at a leading law firm) on privacy and data protection Experience drafting and negotiating data protection agreements, such as DPAs, BAAs and data sharing agreements Working knowledge of key global privacy laws, including those of the Americas, EEA and APAC Ability to read and engage with technical documentation, such as system designs and architecture diagrams Excellent legal writing, including clear, concise advice Preferred qualifications At least 8 years of privacy and data protection legal experience Deep familiarity with software and model development and architecture Proven ability to build privacy processes, playbooks and templates that scale with a fast-growing business Direct engagement with privacy regulators, including providing briefings and responding to inquiries Privacy and data protection work on mergers, acquisitions, and similar transactions Background advising safety, security or trust and safety teams, including on privacy incidents and notification decisions Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $265,000 — $335,000 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.

Location: San Francisco, CA 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 Anthropic's Legal team is looking for an experienced litigator to join our Litigation and Regulatory team. You'll manage a broad docket of litigation files and pre-litigation disputes with a high degree of autonomy, advise the business on litigation risk, and help build the systems and processes that let a growing litigation function operate well at scale. The matters you'll handle span intellectual property (particularly copyright), class actions, commercial disputes, and could include securities and shareholder disputes, in both first-party and third-party matters, in the U.S. and abroad. You'll partner closely with colleagues across Legal and teams throughout the company to resolve matters thoughtfully and with minimal disruption to the business. You may also support regulatory investigations and inquiries as needed. Key responsibilities Manage a broad range of litigation matters that could include intellectual property (particularly copyright) matters, class actions, regulatory and commercial disputes, and securities cases Direct outside counsel across all stages of litigation, from pre-suit response through discovery, dispositive briefing, trial or resolution and appeal, with a focus on strategic decision-making and filing excellent legal briefs Manage small disputes and escalations to limit business friction and minimize risk Advise company leadership and cross-functional partners on litigation risk, and develop appropriate strategic litigation plans, including matter-resolution proposals Design and implement processes, policies, and tools that help the litigation and regulatory team handle matters efficiently and at scale, such as matter intake, outside counsel budgeting, contingency reporting, and pre-litigation escalation run books Work cross-functionally to gather information efficiently and evaluate risk Support responses to regulatory investigations and inquiries as needed Stay up to date on relevant laws, litigation trends, and AI-related case law, and share developments with key stakeholders Mentor and develop team members through hands-on work on active matters Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Have litigated some combination of copyright, class action, securities, and regulatory matters Have broad experience handling complex civil litigation, with deep knowledge of litigation practice and procedure, discovery, and federal and/or CA state court rules Have managed litigation matters with significant independence, including setting case strategy, managing discovery, writing and improving legal briefs, and directing outside counsel Write and communicate clearly, with the ability to explain litigation risk and strategy, particularly for non-legal audiences at all levels of seniority Exhibit poise and judgment under pressure while balancing legal risk with business priorities Preferred qualifications At least 12 years of litigation experience with a combination of experience at a global-focused law firm and in-house Experience representing technology companies, particularly companies working in emerging technologies Experience building systems, processes, or tools for an in-house legal team, such as matter management, outside counsel budgeting, or litigation reporting Experience managing regulatory responses or investigations, including both first-party and third-party responses Creativity and openness to novel solutions when advancing business priorities while addressing legal risk Ability to think and work quickly, have a flexible risk tolerance, and a good sense of humor Low ego and a real willingness to roll up your sleeves to solve problems whether mundane or complex A thoughtful and empathetic colleague who works well with legal colleagues, outside counsel, and business partners A genuine interest in the development of AI that is both innovative and trustworthy, including the opportunities it creates and the risks and limitations that must be addressed Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. 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: $385,000 — $460,000 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.

About Magic Eden and Dicey Magic Eden reached unicorn status in just 9 months after launch, one of the fastest in history. They built a category-defining NFT marketplace from scratch and are now developing Dicey, a crypto casino and sportsbook platform targeting the $180B+ iGaming and sports betting markets. The team is small and fully remote, focusing on fast shipping, data-driven decisions, and rebuilding growth operations around AI. The role The position focuses on personalized retention in the iGaming industry, owning the full post-signup journey. Responsibilities include expanding the player segmentation framework, designing and running targeted offers and campaigns, and managing the associated P&L lever. The role is explicitly AI-native, involving building workflows, agents, and pipelines to run lifecycle campaigns efficiently. Half the job is problem identification, the other half is running experiments to find solutions. What you'll do — Own retention and monetization as a growth loop, setting targets, finding leverage, and driving post-signup metrics — Own and evolve the player segmentation framework, deciding signals and company usage — Build the AI-native growth stack including analysis, agents, and automated pipelines for segment surfacing, offer generation, and campaign execution — Design and ship targeted offers such as reload bonuses, lossback, wager bounties, challenges, and win-back sequences; size, specify, ship, and measure them — Analyze data warehouse and on-chain data to find patterns and create campaigns proactively — Expand player signals including on-chain activity, status-match programs, social account linking, and others — Run campaigns across channels like email, in-app, Telegram, with AI handling heavy lifting — Collaborate with engineering and design to create product surfaces that enable repeatable processes What they're looking for — Strong intuition for player psychology and incentive design; experience in gambling, gaming, fintech, or consumer marketplaces is helpful — Deep analytical skills, able to independently perform cohort analyses without waiting for data scientists — AI-native mindset, already using AI to write queries, build analyses, and automate work, with desire to advance further — High output with good judgment, generating many ideas and prioritizing tests effectively — Bias to do it yourself, comfortable executing emails, queries, and specs personally — Comfortable with ambiguity and building new playbooks Backgrounds that tend to fit — Growth PM at data-heavy consumer companies — MBB consultants transitioning to product ownership — Product-minded data scientists or analysts focused on shipping rather than reporting Why this is interesting — Competitive, top-of-market compensation — Defining the role of a growth PM in an AI-native company without existing playbooks — Early involvement in personalized retention, a key industry trend — Real ownership of segmentation framework, product surface, and P&L lever with direct access to founders

Location: San Francisco, CA | New York City, NY 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 Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity.  You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. Ability to write safety evals and communicate externally about safety. Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. Evidence of exercising judgment and decision making in ambiguous situations. Planning, building, launching and measuring new products / systems in a zero to one environment. Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. 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: $385,000 — $460,000 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.

Location: Denver, Colorado, United States, AMER; Oakland, California, United States, AMER; USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior UX Researcher to join our rapidly growing Product org. Our ideal candidate has a balance of research rigor and business focus. We value those that hit the ground running, leading by example on projects and collaborating well cross-functionally. You will be diving deep into the daily lives of our customers and applying that understanding to everyday product design decisions. We appreciate Researchers who are curious, humble, think deeply, speak clearly, and thrive on collaboration and feedback. If this sounds like a good fit for you, send us a hello with links to your work and experience. On day one, this role will report to the Director of UX Research. This is a full-time, hybrid position based out of our Oakland, CA, Denver, CO or New York, NY offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You’ll Do Plan, manage, and execute on user research programs across focused product areas Collaborate with design, product, and analytics to build research projects that align with stakeholder needs as well as user needs. Guide product and design on the research methodology, question framing, and other best practices for self-run studies. Identify emerging customer and user needs to support the development of new products. Synthesize learnings from past research and analytics data to tell compelling stories and lead ideation sessions. Skills We’re Looking For Experience conducting mixed-method qualitative and quantitative research. A strong portfolio that demonstrates your work, research philosophy, and impact. An entrepreneurial, self-motivated mindset with a bias toward action and the ability to lead projects through ambiguity. The ability to craft engaging presentations and compelling stories that influence stakeholders. A strong desire to understand our users and how our product contributes to their success. Experience using AI to plan studies, synthesize feedback, and work more efficiently. Bonus Skills​ Experience in the data industry Experience with various survey methods, analysis, visualizations and relevant data tools like SQL. #LI-HYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $174,391 — $217,989 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Ever wonder who makes sure a Magic: The Gathering account signup, a Nerf promotion, and a Hasbro Pulse pre-order all handle a player's data the right way? That's this team — and this role is at the center of it! Hasbro's Global Privacy team supports the whole company! We make sure our games, websites, and products handle the personal data of players, employees, and fans responsibly, wherever they are. We're hiring a Privacy Paralegal to own the day-to-day operations of that program. This is a hands-on role with a lot of ownership. You will be the primary contact for most internal teams when they have privacy questions. You will develop processes that help a small team support a large company. This role is currently based at our Renton, WA or Boston, MA office and requires onsite work 3 days per week, currently Tuesday - Thursday. What You Will Do as a Privacy Paralegal: Build and refine how privacy incidents and inquiries get reported, sorted, and prioritized and be the first point of contact for the rest of the business. Work with Legal, Marketing, Central Technology, and Privacy Operations on technology compliance. This includes consistent classification of data collection purposes across many sites and products. Collaborate with Privacy Operations to maintain up-to-date data maps and records of processing activities, and to handle the privacy tech stack — including consent tooling, request workflows, and assessment intake — as products, vendors, and teams evolve. Sit down with engineering, web development, and marketing technology teams to learn how data moves through our sites and apps. This includes tag managers, SDKs, APIs, and backend systems. Work with them to implement consent, preference, and data collection requirements as the law requires. Coordinate privacy reviews for new products, features, and vendors. Assemble the technical details attorneys need to assess risk. Keep the review moving across teams and follow it through to a decision people can build against. Help build our privacy notices and policies, working with attorneys on language and positioning as regulations change. Represent the privacy group as the main liaison to Product Development and engineering. Help integrate compliance requirements into website and platform workflows early, not late. Write the playbooks, templates, and standard operating procedures that keep the program running. Supervise the privacy program's budget and handle its invoicing. Plan Global Data Privacy Day and other company-wide privacy awareness efforts. Prioritize the privacy team's SharePoint documentation to enable a detailed response to an audit request. Answer privacy questions from other departments, subsidiaries, and affiliates, and turn legal requirements into practical direction people can actually act on. What You Will Bring: College degree or equivalent experience; paralegal certificate a plus. At least 3 years supporting a legal or compliance function, ideally in privacy or data protection. Solid understanding of US state privacy laws, GDPR, and children's privacy rules (COPPA). Experience with a privacy management platform such as Ketch or OneTrust. Experience working shoulder to shoulder with technical teams — you can join a working session with engineers and leave with requirements that both sides understand the same way. Word, Excel, PowerPoint, SharePoint, MS Teams, and Jira. Knowledge of functions linked to privacy management: handling privacy tools, conducting data mapping, and documenting processing activities. Willingness to work with colleagues and collaborators in other time zones, and in different business units. Comfortable with technical details about how data is collected, sent, and stored across websites, mobile apps, APIs, SDKs, databases, and tag managers. This allows translating a legal requirement into something an engineer can build. Nice to Have: CIPP certification (CIPP/US, CIPP/E, or similar). Experience with cookie and tracking consent management, and website compliance reviews. Drafting experience with Data Processing Agreements (DPA). The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $80,200 — $110,400 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

About the role Rove Next is a new premium line from Rove Concepts, a Vancouver-based modern furniture brand selling direct to consumer across Canada and the US. Rove Next launches with improved versions of best-selling pieces and needs its own marketing built from the ground up. The role involves owning how Rove Next reaches and retains customers, focusing on email and lifecycle marketing. The goal is to scale marketing through AI and systems rather than headcount, building a clean function rather than inheriting one. This is not a coordination role but requires problem-solving and proactive management. Scope Initially focused on Rove Next, with potential to expand across the Rove Concepts group as the brand grows. What you'll own — Email and lifecycle as the primary owned channel, including campaign calendar, flows, segmentation, deliverability, and list health, using Klaviyo. — Quality control on all outgoing materials: copy, creative, link destinations, offers, regional versions, ensuring errors are caught before shipping. — Building AI into daily work, shipping AI solutions rather than just proposing them. — Collaborating with lifecycle and email team, designers, and external ads partner to maintain the campaign calendar. — Translating marketing results into clear business language, explaining spend, revenue, and recommendations. Must-haves — Five or more years in ecommerce or DTC marketing with real ownership of email and lifecycle marketing, experience with Klaviyo or comparable ESP. — Demonstrated ability to build AI workflows independently and solve problems proactively. — Fluent, native-level English, both written and spoken, capable of writing premium-sounding copy. — Strong attention to detail, able to assess assets for alignment with promises, tone, and offer accuracy. — Comfortable receiving and giving feedback about campaign effectiveness. Nice to have — Experience in furniture, home, or other considered-purchase categories with long buying cycles. — Familiarity with Shopify, GA4, and Meta Ads. — Experience enforcing brand guidelines within a team. What success looks like — Growth of flow revenue as a share of total email revenue. — Reduction of errors reaching leadership. — AI integrated and producing measurable results within 90 days. Compensation $3,500 to $4,500 USD per month depending on experience, independent contractor. How to apply Send CV to talent@rovenext.com with two examples: one AI workflow or automation built and its impact, and one instance of catching an error before shipping. Include a short voice note introducing yourself and what you'd want to know before writing your first email. Shortlisted candidates will complete a short paid project.

Location: San Francisco, CA 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 We are looking for a Director, IT SOX to join the Internal Audit team at Anthropic. In this role, you will be a hands-on technical contributor and key executor of our IT SOX compliance program, with deep focus on our IT General Controls, IT Application Controls, and system risk assessments. This role reports to the Head of IT SOX and is well-suited for someone who is comfortable with ambiguity, thrives in a high-pace environment, and enjoys solving problems that don't yet have industry-standard answers. This is a high-impact opportunity to collaborate with first and second lines of defense to help establish a control environment suitable for an AI-first company! You will act as a trusted advisor to Engineering, GRC, Security and Finance teams on the technology controls adapted to a fast growing and rapidly changing organization. You'll bring technical depth, a bias toward automation, and the ability to partner effectively with both technical teams and external auditors as the organization experiences scaling to public-company standards. Key responsibilities Advise on the design of a control environment fit for an AI-first company, including controls over highly automated DevOps pipelines and emerging agentic identity models Partner with Engineering, Security, IT, and DevOps teams to assess the design and implementation of scalable and sustainable controls Assess new system implementations and changes Identify automation and tooling opportunities to improve control efficiency and monitoring, and contribute to the development of continuous monitoring capabilities Assist in scoping and planning for annual SOX IT assessments Execute IT SOX testing across IT General Controls and IT Application Controls, including access management, change management, and computer operations Perform system and process risk assessments to identify control gaps and recommend remediation Own control documentation and ensure audit-ready evidence is current and complete Evaluate IT automated controls and support the shift from manual to automated control reliance Scale the IT SOX program as the company grows — rationalizing scope, standardizing testing approaches, and building repeatable processes that keep pace with new systems and entities Guide and direct the day-to-day work of internal team members and co-sourced partners: setting priorities, reviewing workpapers, and ensuring quality and consistency across the testing program Build strong working relationships with process and control owners across the organization Translate technical control requirements for non-technical stakeholders and vice versa Support SEC cybersecurity disclosure requirements and related risk monitoring efforts Coordinate with external auditors on IT SOX matters, including evidence requests, walkthroughs, and testing schedules Track and assist with remediation of audit findings; communicate status to the Head of IT SOX and relevant stakeholders Minimum qualifications Hands-on IT audit or IT SOX compliance experience, ideally in a fast-paced technology environment Deep working knowledge of ITGCs, ITACs, and IT risk assessment methodologies Experience auditing highly automated DevOps environments (CI/CD pipelines, infrastructure-as-code, automated deployments) and adapting traditional change-management and access controls to them Experience designing, testing, and documenting controls across access management, change management, and computer operations Demonstrated comfort with ambiguity and the ability to operate effectively in a high-pace, rapidly changing environment Ability to effectively guide and direct the work of internal team members and/or co-sourced partners Ability to work independently on complex, ambiguous workstreams while communicating proactively with senior stakeholders Strong project management and organizational skills with close attention to detail Clear, effective communicator — able to work across technical and non-technical audiences Preferred qualifications 12+ years of hands-on IT audit and SOX compliance experience, including time in a Big 4 or comparable environment Hands-on experience with cloud environments (GCP, AWS, and/or Azure) Experience scaling a compliance program to public-company standards Track record of scaling an audit or SOX program through periods of rapid growth Familiarity with enterprise systems such as Workday, Salesforce, or GitHub Experience evaluating SDLC controls in modern software development environments CISA, CIA, CISSP, CPA, or equivalent certification Genuine enthusiasm for working in an AI-first environment — applying AI to audit work itself and rethinking assumptions about how controls operate when AI is embedded in the processes being audited 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: $230,000 — $300,000 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.

Location: New York City Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win.   We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. ABOUT THE ROLE We’re looking for a Customer Success Manager to help our customers succeed in the new era of AI-driven search. In this role, you’ll work closely with leading brands and agencies, onboarding new clients and advising them on how to improve their visibility across search engines, AI assistants, and emerging generative surfaces. You’ll combine deep SEO expertise with a deep consultative approach, analyzing websites and search performance, running strategic advisory sessions, and translating business goals into actionable organic growth strategies. Working closely with Sales, Growth, and Product, you’ll also help shape how we enable customers and define best practices for succeeding in AI-powered search.   WHAT YOU’LL DO - Onboard and activate new key clients, and educate them on how to best leverage Peec AI to become top-ranked in AI search - Review websites, content, and search performance of key clients to identify AI-search-related opportunities across platforms (search, AI assistants, and emerging generative surfaces) - Run advisory sessions with leading brands and agencies, turning their growth and brand goals into actionable GEO strategies and roadmaps - Collaborate closely with Sales, Growth, and Product to refine activation journeys, case studies, and customer enablement programs - Consult our mid-sized and enterprise clients on GEO-related topics, from overall strategy to hands-on operational execution - Own the growth and retention of your client portfolio, proactively identifying expansion opportunities and partnering with Sales to convert them into upsells - Monitor account health and usage signals to spot churn risk early, and drive retention through timely, value-focused interventions   WHAT WE’RE LOOKING FOR - 3–5 years of hands-on SEO or organic growth experience, ideally at a top-tier SEO agency - Deep understanding of technical SEO, content strategy, search intent, and how organic performance translates into business outcomes - Strong consulting skills: you’re used to advising clients, presenting strategic recommendations, and constructively challenging their thinking - Ability to explain SEO concepts in simple, actionable language for marketing and brand teams - Excitement about the shift from “10 blue links” to generative search, and motivation to be at the frontier of that change - Confident verbal and written communication skills in English for high-quality client calls, workshops, and written recommendations   BONUS POINTS - Experience building frameworks: SEO playbooks, content strategies, or measurement models for clients - Initial experience with AI search - Background working with enterprise and other high-touch clients - Experience in a high-growth, venture-backed SaaS or marketing tech environment WHAT WE OFFER - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category EEOC STATEMENT Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. COMPENSATION The base salary range for this position is $100,000 to $150,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

Location: Sydney, Australia 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 Anthropic’s APAC go-to-market organisation is the fastest-growing part of our international business, spanning markets with distinct languages, cultures and buying styles. Today, enablement for the region is delivered by our global and EMEA teams. As we scale in APAC, we are establishing an initial in-region enablement presence, based in Sydney and supporting the field across the region. As Enablement Lead, you will be hands-on in getting the APAC field ready: onboarding, ongoing skill development, manager coaching support and launch readiness, across GTM functions, not just sales. You will spend most of your time in the room, running sessions, building programmes and working directly with sellers and managers, in the time zones and languages where customer conversations happen. This is a build role with a global spine. You inherit a working global and international enablement engine. Your job is to adapt it for APAC, deliver it across the region, and feed what you learn back into the international and global programme. How we work: adults learn by doing, so we build sessions around live activity: practice, reflection, real customer scenarios. The measure is not what was covered in the room. It is what changes a week later in how people think, decide and sell. This takes creativity and a solid understanding of how adults learn, applied at speed. The frontier moves quickly and the field is scaling fast. Much of the work is unlearning: helping experienced sellers let go of pre-AI habits, not just teaching new ones. AI is what makes this scalable: endless practice partners, personalised scenarios from real deals, feedback minutes after a call. You will use it that way, not to generate more content. Key responsibilities Set up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a feedback loop into the global programme Adapt the international portfolio for APAC, where content for several markets needs to be written and translated ahead of delivery Personally design and facilitate deal walkthroughs, role-plays and customer-conversation rehearsal, favouring practice over presentation Partner with regional GTM leaders to build a coaching standard that scales as the manager layer grows Own launch readiness for the region, so that when a new model or product ships, the APAC field is certified and conversation-ready in the same week cycle as everyone else Build the measurement habit: track what the field does differently afterwards, not content shipped or attendance Minimum qualifications 8+ years in GTM enablement, sales productivity or similar roles, including experience leading or running enablement programmes Experience delivering GTM enablement in APAC, ideally across more than one of the region’s markets Experience influencing beyond your own team or region, such as a programme adopted elsewhere or a senior stakeholder whose decision you changed Hands-on track record designing and running practice-first enablement, measured by changes in field behaviour A working understanding of how adults learn, and comfort helping experienced sellers unlearn pre-AI habits Creativity with AI in your craft: personalised practice, real-deal scenarios and fast feedback rather than more content Experience owning programmes end to end, from design through delivery and measurement Experience enabling a field across languages and cultures, and knowing what breaks when English-first content ships as-is Comfort working with sales leaders as a peer, including pipeline reviews, deal inspection and forecast conversations Good judgement on when to adapt global programmes and when to adopt them as-is Strong candidates may also Have held both a global and an APAC enablement role Have run enablement delivered across multiple APAC markets Have helped build or scale an enablement function Have carried a quota or led sellers earlier in their career Have enablement experience in AI, developer platforms or technical products sold to both executives and builders Have built manager or coaching programmes, not just individual-contributor enablement 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.

Location: Mumbai, India 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 an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Ability to work effectively across cultures and time zones as part of a global team 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.

About us: Oki is the largest language-learning app in Central Asia with 800K+ users. It is a fast-growing Silicon Valley startup building a global language-learning product. Creators working directly with the team have generated 400M+ views and gained 400K+ followers on their personal accounts. About position: This role is for those who want to become influencers or build a serious career as creators. The candidate will become one of the recurring faces of Oki's corporate social accounts. The company will provide training and growth opportunities to build accounts to hundreds of thousands of followers within a few months and create videos capable of reaching millions of views. Access to formats, references, systems, and feedback used to grow creators before will be provided. What you'll get: — Paid hands-on creator experience — Training in viral short-form content — Proven hooks, references and formats — Constant feedback from the growth team — Real international accounts to grow — Strong portfolio and case studies — Startup experience on a global product — Potential path to full-time Who we're looking for: — 18+ — Speak at least 2 languages — Natural and confident on camera — Basic filming/editing skills in CapCut, TikTok or similar — iPhone 13 Pro Max, comparable Android flagship or similar-quality camera — Charismatic, energetic and reliable — Genuinely want to grow as a creator/influencer A big following or years of experience are NOT required. To apply, message TG: t.me/Alidar01 http://t.me/Alidar01 with: — Name, age & country/city — Languages + approximate level — Links to your socials, if you have them — Phone/camera model — A few words about yourself Best option: send a 30–60 second vertical intro video telling about yourself. No CV. No long cover letter.

Требования: — Опыт коммерческой frontend-разработки 4+ лет. — Глубокое знание современного JavaScript и TypeScript. — Уверенный опыт с React или Vue. — Практический опыт с WebView, embedded web apps или mini-apps. — Опыт интеграции с банковским SuperApp будет преимуществом. — Опыт интеграций с REST API и авторизационными флоу: JWT, deep links, нативные мосты. — Опыт работы со сложным состоянием и критичными пользовательскими сценариями, желательно с платёжными флоу. — Понимание производительности frontend в WebView: скорость старта, размер бандла, lazy loading, работа на слабых устройствах. — Опыт unit- и e2e-тестирования критичных пользовательских флоу. — Ежедневное использование AI-инструментов в разработке: Claude Code, Copilot или аналоги. — Самостоятельность и скорость работы, умение работать с неполными вводными, поднимать блокеры и договариваться с зависимыми командами.

Обязанности: Ведение кадрового делопроизводства: приемы, отпуска, составление табелей учета рабочего времени, воинский учет (отчетность при приеме). Периодический подбор персонала на офисные позиции: согласование профиля кандидата, планирование этапов подбора, сопровождение кандидата до этапа оффера. Ведение документооборота департамента. Участие в составлении/обновлении локальных нормативных актов. Консультация сотрудников по кадровым вопросам. Составление информационных рассылок. Требования: Высшее образование по профилю или высшее образование и профессиональная переподготовка. Опыт работы в 1С:ЗУП или 1С:КА. Опыт работы в 1С:Документооборот (преимущество). Опыт работы с программами Start Link/HR Link. Знание программ Контур.Диадок, Контур.Экстерн. Знание инструментов подбора. Релевантный опыт работы от 2 лет. Условия: Заработная плата: оклад + ежемесячная премия. Программа корпоративного здоровья после испытательного срока. Корпоративный фитнес. Испытательный срок 3 месяца. График работы с 9.30 до 18.00. Офис в БЦ "WEST PARK", Очаковское шоссе, д.34, с парковкой, кафе, столовыми. Корпоративный автобус от м. Аминьевская.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY 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 part of Anthropic’s Global Safety, Intelligence, and Security (GSIS) team, the Security Technology Deployment Engineer will own the validation, standardization, and deployment of physical security technology across Anthropic’s rapidly expanding global office portfolio. This role bridges the gap between technology selection and production-ready operation — ensuring that every security platform deployed is rigorously tested, properly integrated with enterprise infrastructure, fully documented, and built for scale. You’ll define the installation standards, configuration baselines, and deployment processes that the broader team executes against — from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You’ll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic’s infrastructure before going live. Your work will directly determine whether Anthropic’s security technology stack scales reliably as the company grows from dozens of locations to a global enterprise footprint. Responsibilities: Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production Support colleagues’ security applications through InfoSec review processes, ensuring new tools meet Anthropic’s information security and compliance requirements Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion Initiate onboarding of deployed hardware and systems into Anthropic’s health monitoring platform to ensure operational visibility from day one Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently You may be a good fit if you: Have 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organization Have deployed security technology across 50 or more sites, or have demonstrated experience in a high-growth environment where deployment velocity and repeatability were essential Have built standardized deployment processes, playbooks, and configuration templates that enabled others to execute installations independently and consistently Have experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments Have supported SSO integration, InfoSec reviews, and enterprise application onboarding workflows for security tools Possess broad technology experience across access control, video management, intercoms, visitor management, AI/analytics, and alarm monitoring platforms Are a strong technical communicator who can define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity Have experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices Are comfortable with 25% travel for site deployments, commissioning, and validation Strong candidates may have: Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments Experience with Anthropic’s specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai , Ambient.ai , SureView, Envoy Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation Experience with health monitoring and observability platforms Knowledge of SOC 2 compliance, GDPR, and physical security compliance frameworks Experience with change management, configuration control, and version-controlled infrastructure documentation Deadline to apply: None. Applications will be received on a rolling basis. 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: $180,000 — $230,000 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.