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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 As a Partner Account Manager for AI-Native and Boutique SI Partners at Anthropic, you will own the relationship with a portfolio of our key AI-native and boutique systems integrator partners. These are the specialist services firms enterprises turn to when they want to design, build, and deploy production-grade AI with Claude, and they are among the fastest-moving partners in our ecosystem. Your job is to turn each of those relationships into a growing joint business: a shared plan, a healthy pipeline, and customers in production. This is a commercial role first. You will build joint business plans with partner leadership, work with your partners' sales teams on live opportunities, team up with Anthropic's Partner Sales team to bring those partners into the right accounts, and keep a clear, accurate view of how each partner is performing. You will work closely with our Partner Sales, Partner Programs, Partner Support, Partner Activations, and Partner Success teams so your partners get the full value of what Anthropic offers, and you will bring what you hear from partners back to those teams. This role reports to the Head of Boutique & AI-Native SIs and works closely with sales, product, and applied AI teams to make sure our SI partners are equipped to win and deliver transformative AI solutions for their clients. Responsibilities Partner Development and Go-to-Market Own and manage relationships with a portfolio of key AI-native and boutique SI partners, from practitioners through to founders and executive leadership Develop and execute joint go-to-market strategies that drive partner-sourced and partner-influenced pipeline Lead partner business planning, including setting mutual goals, identifying target accounts, and defining success metrics Work directly with your partners' sales teams to identify opportunities and support deal progression Partner closely with Anthropic's Partner Sales team, who lead introductions and co-sell with our account executives and account teams, so your partners are positioned on the right accounts and opportunities Run a regular operating cadence with each partner, including business reviews against the joint plan Cross-Functional Partnership Work hand in hand with Partner Sales as your primary go-to-market counterpart. You own the partner relationship and the joint business plan; Partner Sales works with Anthropic's sales leaders, account executives, and solutions architects to bring your partners into deals at the right time with clear roles, and owns co-sell execution and the partner-linked pipeline and forecast Work side by side with Partner Success Leads on the partners you share. You own the overall partner relationship and the commercial plan; the Partner Success Lead owns each customer engagement from partner match to completed outcome, including delivery quality and the customer's Claude usage Build executive-level trust with each partner's practice and delivery leadership together with Partner Success, so that when an engagement needs the partner to restaff, escalate, or invest, the ask is taken seriously Align with Partner Success on how each partner's Claude practice is growing, including certified bench depth, a repeatable offering in a chosen industry lane, and published customer stories, and carry that into the joint business plan and go-to-market Bring the commercial view to the quarterly practice reviews Partner Success runs with each partner, so the partner hears one set of joint goals across pipeline, completed engagements, customer adoption, and certified practitioners Keep the handoffs clean: with Partner Sales when a partner deal closes, and with Partner Success when an engagement is matched to one of your partners, so both teams have what you know about the partner's strengths, capacity, and proof points Work with Partner Programs to help your partners understand and progress through Claude Partner Network tiers, requirements, and benefits Work with Partner Activations to bring your partners into the customer engagements where they can have the most impact Work with Partner Support to get partner questions and issues resolved quickly, and to spot patterns worth fixing at the source Work with Partner Enablement so partners have the training, certification pathways, and technical resources they need to build and deliver with Claude Serve as the voice of your partners inside Anthropic, informing program, enablement, and product priorities Partner Operations and Performance Tracking Maintain accurate tracking of partner-sourced and partner-influenced revenue using our existing systems, tools, and processes, including deal registration and CRM discipline Keep partner performance dashboards and reporting current, and use them to run partner reviews and internal updates Follow our standard operating procedures for partner activities, and help keep them documented and up to date Maintain partner data integrity and consistent measurement across your portfolio Track KPIs for each partner and for the overall health of your portfolio Assess partner contribution, engagement, and growth potential using established frameworks, and recommend where Anthropic should invest Track and report the return on partner investments such as funding and enablement, and give Partner Success your recommendation on funding requests from your partners Identify opportunities to improve how we work with partners and bring them to the teams that own those programs You may be a good fit if you have 5+ years of experience in partner development, channel management, or partner management Demonstrated success driving revenue through partners, with pipeline and bookings results you can point to Experience working with systems integrators, consulting firms, or similar enterprise-focused services partners Strong business acumen, with the ability to support deal progression and navigate complex partner relationships A commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable asking a partner to invest in its own capability Strong analytical skills, with experience tracking KPIs, working from dashboards, and using data to decide where to spend your time Outstanding communication and relationship-building skills at all levels, from partner practitioners to founders and executives A track record of working well across functions to get things done for partners without owning every team involved Experience with CRM systems and partner relationship management tools Comfort with ambiguity and a fast-changing environment Low ego, high curiosity, and a habit of making the people around you better Willingness to travel to support partner relationships and joint customer engagements Strong candidates may also have Experience in AI, cloud platforms, or other high-growth technology categories where partner enablement and technical differentiation are critical A background working at or with AI-native services firms, boutique consultancies, or systems integrators An understanding of how boutique services firms run, including how they staff, price, and fund a new practice An understanding of enterprise sales cycles and how partners influence complex, multi-stakeholder deals Hands-on familiarity with Claude, Claude Code, and how enterprises build and deploy LLM applications Experience at a high-growth company where the program was still being built Passion for AI and an understanding of how enterprises are adopting AI technologies 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: $215,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 ABOUT THE ROLE You’ll be the operational, detail-first finance partner embedded in REW doing the deep-dive transactional and analytical work that the team needs to run cleanly. Reporting directly to the REW Finance Manager (Talia Young), you will own PO QA and lifecycle operations, accruals and month-end support, GL drill-throughs for Budget vs Actuals (BvA) commentary, and vendor spend visualizations. You’ll partner closely with Leasing, Workplace Ops, Design & Construction, Workplace Experience, Sourcing, and P2P — and you’ll be expected to roll up your sleeves and deliver high-quality, defensible analysis and clean data. CORE RESPONSIBILITIES - PO lifecycle & ZIP power-user: Validate chart of accounts, budget availability, REW PO line descriptions, start/end dates; help manage REW POs through the PO creation/change order process in ZIP. - Accruals & month-end: Assist with month end close; Identify POs that require accruals, collect/validate accrual inputs from owners, prepare accrual backup, input/maintain accrual details in the stratfin file, and reconcile reversals when invoices arrive. - GL drill-through & BvA commentary: Perform transaction-level GL investigations to find root causes of variances, compile support, and prepare concise, stakeholder-ready variance narratives. - Vendor invoice & spend visualization: Build and maintain vendor-level dashboards and quick visualizations showing spend trends, aged liabilities, and problem areas. - Data management & actualize files: Maintain and “actualize” REW files (budget skeletons, accrual trackers, PO registers), ensure data hygiene and version control. - Budget and forecast cycle support: Enhance budget and forecast templates and automate where possible. Collect and review submissions in detail. - Technology & automation: Bring a technology-first mindset — prototype small automation/AI agent solutions to reduce manual work (e.g., PO QA checks, GL reconciliation assistants). - Partnering & follow-up: Recurring operational check-ins with stakeholders as it relates to budget/forecast updates and ensuring operations running smoothly from a financial perspective.   MUST-HAVE QUALIFICATIONS - Bachelor’s degree in Accounting, Finance, or equivalent experience. - 4-6+ years relevant experience in FP&A/ corporate finance / finance operations - Practical, hands-on accruals experience (monthly accruals, prepayments, reversals). - Demonstrated experience with PO lifecycle and PO system operations - Strong experience performing GL drill-throughs and tracing transactions to source documentation. - Advanced Google Sheets / Excel modeling skills - Excellent attention to detail and the ability to produce defensible, audit-ready work. - Strong partnership and communication skills — able to extract needed information from stakeholders and drive action. NICE-TO-HAVE - Experience with NetSuite, Workday, Oracle, or other ERPs. - Dashboarding experience (Tableau) - Prior exposure to real estate, construction, workplace operations, or global food/amenities spend. - Demonstrated experience prototyping small automations or AI agents to accelerate work. SOFT SKILLS / COMPETENCIES - Extremely detail-oriented and process disciplined. - Independent problem solver who can escalate appropriately. - Strong prioritization and time management under competing deadlines. - Curious and technology-forward — comfortable testing small automation/agent ideas. - Partnership-first: builds rapport quickly and communicates clearly with non-finance stakeholders.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the GTM team at Anthropic, you will be a Staff Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers and leads the technical direction of their AI adoption. Customers bring you in to lead, not only to implement: you decide what should be built, and then make sure it gets built well. You will work with customer teams to ship advanced AI applications that solve real world business problems, and guide the architecture and advisory work that surrounds those builds across an account. Working closely with our Research, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and help shape our forward-deployed motion as it scales. We expect Staff FDEs to set direction under ambiguity and represent Anthropic at the highest level in customer environments. In this role, you guide architecture and build initiatives across workstreams, working directly with senior technical and business stakeholders and owning outcomes that span an account's roadmap. You don't need to have shipped agents to production. You do need deep experience building and operating production systems, hands-on time with agents, and the judgment to lead architecture and advisory work with enterprise customers. Responsibilities Own technical strategy for a key account or vertical, in partnership with account and product teams. Guide technical architecture and design decisions across multiple concurrent workstreams. Lead discovery and advisory engagements independently, shaping scope and technical strategy before a build starts. Lead engagements delivered with partners, setting the architecture and the quality bar for work you don't build yourself. Review designs and unblock other FDEs on hard technical calls. Represent Anthropic to senior technical and business stakeholders, including VPs and C-level, to align on strategy and de-risk delivery. Own your engagements end to end: scope the work, sequence it, unblock it, anticipate security and procurement gates, and deliver production systems the customer can operate. Work within customer systems to build production applications and agent components with Claude, and hand over systems the customer can run. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25%) to customer sites to build in person with customers. Be a champion for Anthropic's mission in the field. You May Be a Good Fit If You Have Deep system design and problem decomposition skills: you can walk into a discovery conversation with only a business problem and leave with a defensible technical strategy for a secure, production-ready design inside a complex enterprise environment of legacy systems, with identity and access, and compliance requirements. Experience in a senior technical, customer facing role such as Forward Deployed Engineer, or as a Tech Lead with consulting or product experience. Former technical founders are also encouraged to apply. A track record as the person a team turns to on ambiguous technical calls, whether through architecture review, pairing, or informal mentorship. A track record of directly influencing senior technical and business stakeholders, including VP and C-level, in complex organizations. Extensive experience building and operating production systems. Hands-on experience with LLMs and agents is expected. Side projects and prototypes count. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc), experience shipping production applications, and everyday use of AI coding tools with the judgment to review and steer. Experience leading advisory and architecture-review engagements as well as hands-on builds, and running them end to end. High agency with an ability to navigate ambiguity present in complex organizations, and the learning velocity to pick up new domains and tools fast. Passion for advancing safe, beneficial AI systems through creative technical applications. A background in financial services, healthcare/life sciences, or another enterprise vertical are nice to have. 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: $280,000 — $320,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Singapore Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, scaled programs, and product expertise so we expect the scope to evolve and want someone excited to build as it does. You'll design and run the programs - onboarding tracks, lifecycle campaigns, workshops, adoption playbooks - that drive corporate and mid-market customers to activate their core use case and expand into new ones. Everything you build has to scale across a high-volume book, not be custom to one account. You'll need deep product fluency - enough to be the most credible voice in the room on how to use the product well - without ever owning an account or its technical implementation directly. This is a builder role for someone extremely analytical, comfortable running live enablement at scale, and already advanced with AI tools to automate the systems behind it. Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to: - Drive strong adoption by building and delivering scalable enablement and activation programs that educate customers on best practices, and get them to time-to-value quickly on their core use case - Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're a product expert on our existing product and you're constantly the first to learn new products coming to market - Proactively audit customer agents prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption - Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region - Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases - Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Solutions Engineering, GTM, Customer Experience, Product Marketing and Engineering) - Partner with leadership on high-impact initiatives that support the local GTM team and global results Requirements - 6+ years in adoption, customer/partner enablement, digital CS programs, enterprise growth or similar role- at an AI-native or highly technical company with a large, low-touch book - Experience with voice AI, TTS, conversational AI, or developer-facing products - A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more - You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work - Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy - Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward - Experience managing a high-volume book of business at scale, mid-market or commercial segment - Language Requirements - Must be fluent in English and Mandarin Growth Potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Growth Roles - Regional Adoption Lead - Other teams: Account Management, Digital CX or Deployment Strategist Location This role is remote out of Singapore #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Zürich, CH 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 The IT Operations team keeps Anthropic running. We want every employee to do their best work without friction. We're hiring an IT Support Engineer who pairs strong technical skills with a service mindset and good judgment. Anthropic is growing fast, and IT needs to keep pace. That means onboarding at scale, automating repetitive work (including with Claude), and improving the day-to-day employee experience. You'll handle support across our mostly macOS environment and help with the operational work that lets us scale. You'll work closely with IT Engineering and Security, with room to grow into more technical infrastructure work over time. This isn't a scripted support role. You'll have real ownership, use your judgment to improve our processes, and grow with the team as we scale. Key responsibilities Triage and resolve issues across hardware, software, networking, and accounts, mostly through our ticketing system, plus Slack and in-person Diagnose and fix issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations that need cross-team coordination Join an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communicate clearly with users at every technical level Write and maintain internal documentation, including runbooks, how-to guides, and knowledge base articles Spot patterns in support requests, surface recurring issues, and flag opportunities to automate Help streamline onboarding and other high-volume operations as we scale Contribute to automation efforts Maintain and improve device management, identity, and access systems Write scripts (Bash, Python) to automate repetitive tasks Minimum qualifications Hands-on IT support experience, ideally in a fast-paced environment Experience supporting macOS endpoints, and comfortable supporting ChromeOS, iOS, and Android Experience with Google Workspace administration Experience with Slack administration, including workspace management, permissions, and troubleshooting Experience supporting and administering other SaaS tools Understanding of identity and access fundamentals: SSO, MFA, directory services Familiarity with MDM fundamentals and endpoint management concepts Basic scripting (Bash or Python) for automation Strong troubleshooting skills, with a methodical and persistent approach Clear communicator who enjoys helping people solve problems Take ownership of problems and follow through until they're resolved Preferred qualifications Familiarity with zero-trust security concepts and endpoint security tooling Networking basics: DNS, DHCP, VPNs Experience with IT projects beyond day-to-day support, such as migrations, tool rollouts, or process redesigns Experience using AI tools to improve personal or team productivity Interest in developing deeper technical skills and taking on more complex systems administration over time 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: London, UK 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 growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team based in London to own full-cycle recruiting of our G&A functions (Policy, Finance, Legal, People, and related areas). This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run. We’re open to candidates whose strength is in G&A recruiting in your application, tell us where your experience is deepest across the functions. Key Responsibilities Own full-cycle recruiting for a portfolio of G&A roles across EMEA—from intake through offer and close Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies Source and engage high-quality active and passive candidates, building diverse and competitive pipelines Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar Manage candidates through the process with clear communication and a great experience at every stage Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum Qualifications 6+ years of full-cycle recruiting experience in G&A (Policy, Finance, Legal, People) with a focus on Policy hiring Demonstrated ability to recruit in the UK and European market, with familiarity with local talent dynamics and employment norms Track record of strong stakeholder partnership — building trust quickly with hiring managers in fast-moving environments Comfortable operating with ambiguity: willing to flex between functions and contribute to building something new rather than running an established playbook Proven ability to maintain quality under volume pressure — owns pipeline health, not just pipeline size Self-starter who can work with significant autonomy while staying tightly aligned with global strategy Genuine connection to Anthropic's mission and an understanding of why it matters in a recruiting context Preferred Qualifications Experience recruiting at a high-growth technology, AI, or machine learning company Experience recruiting across both G&A and GTM functions Experience hiring across multiple EMEA markets, including the UK and Ireland Familiarity with Greenhouse or similar ATS platforms Additional European language skills relevant to hiring across the region 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: £105,000 — £145,000 GBP 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 Developers and enterprises build on Claude through the Claude Platform. Our models are getting exponentially more intelligent, and our APIs and developer tools need to evolve just as quickly so developers can take advantage of that intelligence safely. We're hiring Engineering Managers to lead teams that build these APIs and developer tools. We are shipping APIs and infrastructure for building and running agents in production. These APIs ship alongside SDKs, docs, and tooling that developers (and agents!) utilize in order to build high quality integrations. These abstractions are backed by our identity, verification, and trust platform, which lets us scale access to Claude responsibly. Key responsibilities Lead a team of engineers to ship high quality work quickly, owning planning, prioritization, delivery, and operational health Partner with product to set your team's roadmap, and bring a strong point of view on what developers need Talk to customers directly and turn what you learn into engineering priorities Guide API design and architecture decisions for distributed systems that have to stay reliable as usage grows Work closely with Research, Safeguards, Security, and go-to-market teams to bring new model capabilities to developers safely Recruit, coach, and grow strong engineers Minimum qualifications You have experience managing high-performing software engineering teams shipping developer products, including hiring, coaching, and performance management You're product-minded and customer-oriented. You care about who uses what your team builds, and you've shaped roadmaps alongside product partners You've built and scaled distributed systems in production, and you have the technical depth required to guide architecture and API design You've led teams that ship quickly and hold a high quality bar You collaborate well across functions and can align teams you don't manage You care about Anthropic's mission and about developing AI safely Preferred qualifications Experience building agent infrastructure or products on top of LLMs Experience with identity, verification, access control, or trust and safety systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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: $405,000 — $485,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 As the Developer Relations Manager for Claude Platform at Anthropic, you will lead the team responsible for how developers discover, onboard, build, and scale applications using the Claude Platform. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our Platform is used responsibly across a diverse range of implementations. You'll set the vision and strategy for growing and engaging Claude Platform’s developer community. Your success in this role will directly shape Anthropic's growth trajectory and market position while ensuring our APIs are used to create safe, positive outcomes. Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating safe AI. Key responsibilities Set the Vision and Drive Strategic Impact Build and execute the strategy for how developers discover and grow their integrations on the Claude Platform Build and execute the strategy for content the team produces to educate developers on building high quality integrations on top of the Claude Platform Collaborate with product and engineering leadership to ensure developer feedback informs the roadmap Prioritize initiatives based on data, feedback, and the needs of both developers and Build and Lead a World-Class Team Pioneer the definition of what world-class developer relations looks like in this quickly evolving field Recruit, inspire and scale a high-impact developer relations team with global reach and representation across key markets Foster a collaborative culture that embodies Anthropic's values while driving innovation in how we engage developers Create and implement scalable processes that evolve as both the team and developer ecosystem expand Establish clear growth paths and development opportunities for team members that align personal advancement with delivering exceptional value Drive Alignment and Innovation Through Cross-Functional Leadership Act as an advocate for Claude Platform developer needs at Anthropic, translating developer feedback into strategic initiatives Collaborate with Research to translate AI capabilities into accessible educational resources Partner with Communications and Marketing teams to amplify developer success stories Ensure best practices for responsible AI use are adopted by developers building on the Claude Platform Minimum qualifications You have experience building and leading developer relations, developer experience, or technical product teams, with a proven track record of measurably growing developer ecosystems You're technically credible. You understand AI/ML and API concepts and translate complex technical ideas for various audiences ranging from individual developers to enterprise executives You have hands-on technical abilities. You’re capable of creating your own code demos, critically reviewing developer content for quality and best practices, and providing specific technical feedback that elevates the work of your team You have insight into developer psychology and behavior. You know how to reach developers through the right channels, build authentic affinity for products, and design education programs that drive meaningful adoption You're passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations You're a collaborative leader who can influence across teams without direct authority, building strong relationships with stakeholders at all levels You have experience scaling teams in high-growth environments and can adapt quickly as priorities evolve Preferred qualifications Experience working specifically with AI developer platforms Public speaking experience at industry conferences and events Content creation experience (technical writing, video tutorials, etc.) Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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: $290,000 — $435,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 | Seattle, WA 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 of May 2026, Claude authored more than 80% of the code we merge . In September 2026, we merged more than 30,000 changes per day . Writing a change is fast now, and the hard part is knowing what is correct and safe to ship. Platform Acceleration builds the internal tools that close that gap for Anthropic's product engineers, who own the Claude API, our SDKs, and the rest of the Claude Platform. We work like a small product team whose customers are other Anthropic engineers. We're looking for Staff+ engineers with a strong background in backend or infrastructure who care about developer experience and have built tools other engineers rely on. We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle. What you'll do Design, build, and operate the tools that help product teams ship faster Own the technical strategy and roadmap for your area, and make sure its hardest problems get solved, by you or through others Define what it means to trust a change, especially changes written by Claude, and build the tooling that holds the bar throughout the software development lifecycle Build agents that take on repetitive engineering work, such as diagnosing failures, fixing broken tests, and running migrations Embed with partner teams to find their biggest sources of friction, validate a solution with them, and turn the fix into a product other teams can adopt Move between building new tools and improving the shared systems that teams already depend on, as priorities shift You might be a good fit if you: Experience building and operating backend services or infrastructure in production, in Go, Python, Rust, or TypeScript Deep experience with developer tooling, CI/CD, test infrastructure, or deployment systems Experience leading large, complex technical projects across teams, from an ambiguous problem to a solution developers adopt Clear written and verbal communication, with experience supporting internal partner teams Interest in Anthropic's mission of building safe, beneficial AI Preferred qualifications: Experience at a startup or on a similarly small team, taking a product from zero to one and talking directly to your users Substantial experience with agents that do engineering or other technical work Experience building widely adopted CLI tools, developer-facing services, GitHub automation, or open source developer tools Experience measuring developer productivity and using the data to decide what to build A point of view on how software engineering changes as agents write more of the code Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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: $405,000 — $485,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are reinventing credit cards entirely. We are working directly with card issuers to change how credit is used throughout the world, creating new types of cards that work for both their everyday lives and large purchases with extremely straightforward, flexible terms. We are looking for a Senior Staff Software Engineer to take on a critical role in defining and leading technical excellence. You’ll partner with other engineering leaders in revolutionizing the way the team works, shaping the culture of engineering across Cards. You will lead from the front on AI while holding the bar high on quality.  You’ll collaborate with engineering leaders, create and implement technical strategy across full-stack teams, and coordinate closely with stakeholders to build scalable, reliable, and high-performing solutions. You'll help shape best practices, guide architectural choices, and drive the successful delivery of critical initiatives. This role requires a high level of technical ability, leadership and project management skills, strong cross-functional communication, and a customer-first mindset. What You'll Do Lead the vision – Define the technical direction, long-term technical roadmap, and strategic initiatives in Cards. Be a role model - Lead from the front as an example in using AI to build fast, take initiative, and revolutionize how we work. Stay close to industry leaders in FinTech, learning from what is happening in the market to build our team. Work closely with stakeholders across all teams at Affirm to champion and implement technical excellence in conjunction with business results Create and influence a strong ownership culture across teams, with high accountability and investment for building for scale and efficiency Architect and contribute to decisions on the right platform, tools, and technologies to support consistency and reliability Mentor and lead – Guide a strong group of engineers by championing best practices, and helping them grow What We Look For 10+ years of experience working across the stack, driving architectural improvements in the backend. Bonus points using languages like React Native, Javascript, or Kotlin. Experience driving change across large engineering organizations Track record of successfully leading critical projects and leveraging multiple engineering teams across organizational boundaries for company-wide results Extensive experience developing and implementing technical strategy that drove prominent change in reliability and responsiveness You embody an ownership mindset and help influence a similar culture to those around you Collaborative partnership across engineering teams and cross-functional stakeholders Experience mentoring and growing engineers up to Staff level You have strong verbal and written communication skills that can help influence and share critical decisions with stakeholders This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - R Equity Grade - 15 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $265,000 - $325,000 USA base pay range (all other U.S. states) per year: $236,000 - $296,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Johannesburg, South Africa; Cape Town, South Africa; Pretoria, South Africa Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world and a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As a Digital Insurance Project Manager, your core responsibility will be to oversee and manage the implementation of new and/or existing projects within CoverGo's operations. This role presents an exciting opportunity for an individual with a strong drive to lead transformative projects in the insurtech industry. What You Will Do Engage and manage relationships with clients and stakeholders Lead project planning sessions with the internal team and client's staff Support solution proposals for client pursuits, proposals, and PoCs Participate in proposal and POC processes (i.e. design, submission, and review) Support the creation of contracts and related communication with clients Identify and help secure growth opportunities for existing clients Manage project progress and adapt work as required Ensure projects meet deadlines Manage relationships with clients and stakeholders Host regular/weekly project review and create reports with key metrics about team and project status using company standard metrics Oversee all incoming and outgoing project documentation Identify and manage issues, risks, assumptions, and dependencies Continuously optimize and improve processes and the overall approach where necessary What We Need Bachelor's degree in computer science or a related technical field is a plus Atleast 5 years experience as a Project Manager Atleast 3 years experience in insurance Insurance domain knowledge is a must Strong client facing experience is a must Technical skills are a plus Has experience seeing projects through the full life cycle Excellent analytical skills and problem-solving skills Strong interpersonal skills and extremely resourceful Proven ability to complete projects according to outlined scope, budget, and timeline Self-motivated and able to work independently Able, willing, and excited to work in a fast-paced collaborative startup environment Must be based in South Africa Why You'll Love Working Here Fully Remote Paid Annual Leaves Annual Performance Bonus Remote Work Allowance Anniversary Bonus Health Insurance Company Activities and Events Learning and Development Plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Bucharest, Romania; Cluj-Napoca, Romania; Iași, Romania Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world and a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As a Digital Insurance Project Manager, your core responsibility will be to oversee and manage the implementation of new and/or existing projects within CoverGo's operations. This role presents an exciting opportunity for an individual with a strong drive to lead transformative projects in the insurtech industry. What You Will Do Engage and manage relationships with clients and stakeholders Lead project planning sessions with the internal team and client's staff Support solution proposals for client pursuits, proposals, and PoCs Participate in proposal and POC processes (i.e. design, submission, and review) Support the creation of contracts and related communication with clients Identify and help secure growth opportunities for existing clients Manage project progress and adapt work as required Ensure projects meet deadlines Manage relationships with clients and stakeholders Host regular/weekly project review and create reports with key metrics about team and project status using company standard metrics Oversee all incoming and outgoing project documentation Identify and manage issues, risks, assumptions, and dependencies Continuously optimize and improve processes and the overall approach where necessary What We Need Bachelor's degree in computer science or a related technical field is a plus Atleast 5 years experience as a Project Manager Atleast 3 years experience in insurance Insurance domain knowledge is a must Strong client facing experience is a must Technical skills are a plus Has experience seeing projects through the full life cycle Excellent analytical skills and problem-solving skills Strong interpersonal skills and extremely resourceful Proven ability to complete projects according to outlined scope, budget, and timeline Self-motivated and able to work independently Able, willing, and excited to work in a fast-paced collaborative startup environment Must be based in Romania Why You'll Love Working Here Fully Remote Paid Annual Leaves Annual Performance Bonus Remote Work Allowance Anniversary Bonus Health Insurance Company Activities and Events Learning and Development Plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Warsaw, Poland; Kraków, Poland; Wrocław, Poland; Poznań, Poland; Gdańsk, Poland Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world and a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world About the Role As a Digital Insurance Project Manager, your core responsibility will be to oversee and manage the implementation of new and/or existing projects within CoverGo's operations. This role presents an exciting opportunity for an individual with a strong drive to lead transformative projects in the insurtech industry. What You Will Do Engage and manage relationships with clients and stakeholders Lead project planning sessions with the internal team and client's staff Support solution proposals for client pursuits, proposals, and PoCs Participate in proposal and POC processes (i.e. design, submission, and review) Support the creation of contracts and related communication with clients Identify and help secure growth opportunities for existing clients Manage project progress and adapt work as required Ensure projects meet deadlines Manage relationships with clients and stakeholders Host regular/weekly project review and create reports with key metrics about team and project status using company standard metrics Oversee all incoming and outgoing project documentation Identify and manage issues, risks, assumptions, and dependencies Continuously optimize and improve processes and the overall approach where necessary What We Need Bachelor's degree in computer science or a related technical field is a plus Atleast 5 years experience as a Project Manager Atleast 3 years experience in insurance Insurance domain knowledge is a must Strong client facing experience is a must Technical skills are a plus Has experience seeing projects through the full life cycle Excellent analytical skills and problem-solving skills Strong interpersonal skills and extremely resourceful Proven ability to complete projects according to outlined scope, budget, and timeline Self-motivated and able to work independently Able, willing, and excited to work in a fast-paced collaborative startup environment Must be based in Poland Why You'll Love Working Here Fully Remote Paid Annual Leaves Annual Performance Bonus Remote Work Allowance Anniversary Bonus Health Insurance Company Activities and Events Learning and Development Plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: United States What The Role Is Compensation is a large part of how we attract and retain exceptional talent. We’re hiring a Global Director, Compensation to own our entire compensation strategy. Your day-to-day focus will be on building the compensation programs that drive acquisition and retention of top-tier talent. You will be encouraged to use your creative side to build programs while balancing the tension of analytical rigor and high integrity. You will directly model and own our executive compensation philosophy, including private company equity modeling. You are energized by presenting to the executive team and the executive compensation committee. You'll report directly to our SVP of People and work with executives across the company. Who You Are You think critically and creatively, designing solutions for Babylist’s specific needs and drawing on market data as a key input alongside your own judgment. You bring 12+ years of experience across compensation or total rewards, including executive compensation, equity, and compensation analytics, and you’ve built and scaled compensation programs in a technology company. You can model executive pay—including base, bonus, and equity—and turn complex analysis into clear recommendations and Compensation Committee materials. Experience presenting directly to a comp committee is a plus. You’re deeply fluent in equity compensation, including options, RSUs, vesting design, refresh cycles, eligibility, and dilution tradeoffs, with deep private-company executive compensation experience and public company modeling. You partner closely with Talent Acquisition and treat recruiter market input as a valid signal alongside survey data and internal equity.You have extremely high attention to detail, can intuitively spot when numbers feel off, and bring strong financial acumen in forecasting, budgeting, accruals, and workforce planning. You have worked directly with tech executive leadership to model engineering, product and design compensation. You’re a trusted partner to senior Finance, Legal, Payroll, HR, and business leaders, with the executive presence and writing skills to make complex issues clear. You tell a clear story and lead change management, bringing leaders and employees along with new programs. You handle sensitive information with discretion. You have 5+ years of people leadership experience. You develop a small team, coach them toward more strategic work, and lead through change. You use AI to work smarter and improve your output, and you remain curious about how emerging tools can strengthen the function. How You'll Make an Impact Own the strategy behind Babylist's global compensation programs and annual cycles, and set the philosophy and design for job architecture, market pricing, promotions, pay adjustments, and equity eligibility Own the change management, communication, and rollout of Babylist’s new non-executive equity refresh program, then shape our equity and compensation strategy as the company evolves.Own technical compensation, including a point of view on how engineering and product bands should align to attract top technical talent. Serve as the company’s compensation authority, advising leaders and HR partners on competitive pay decisions, policy interpretation, and exceptions with sound, independent judgment. Communicate compensation programs with clarity and lead the rollout of new initiatives, so leaders and employees understand what is changing and why Lead compensation analytics. This includes benchmarking, pay equity, range penetration, and incentive analysis. Translate findings into executive-ready recommendations. Partner with Finance, Payroll, Legal, Talent Acquisition, and Total Rewards on compensation planning, budgets, offer design, pay progression, and workforce planning. Lead executive compensation activities, including offer packages, annual pay reviews, equity recommendations, governance, and Compensation Committee materials. Ensure programs comply with global compensation requirements, pay transparency laws, internal controls, and data privacy obligations. Lead and develop the compensation team, including mentoring the Senior Compensation Manager, who also oversees benefits execution. Equip managers and employees to understand how Babylist’s compensation programs work and the principles behind them. Why This Role You’d be the first Global Director, Compensation, building the function and designing programs around Babylist’s specific needs, not maintaining an existing one. You’d work directly with People leadership and executives across the company, with outside executive compensation counsel as a partner. About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $189,475.00 to $ 241,000.00 Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: San Francisco, CA | New York City, NY | Washington, DC 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 believes AI capabilities are improving rapidly, and that AI safety policy needs to keep pace. Our Policy Development team translates technical insights into workable new policy ideas for governing frontier AI. As a member of the Policy Development team, you will drive our work on technical and cross-lab safety practices, deepen our work on frontier AI legislation, and develop new technical governance ideas that you pressure-test with researchers and carry into policy proposals. You will work closely with policy colleagues and with research, alignment, safety, and legal teams, and you’ll move easily between technical detail and how policy actually gets made. Key responsibilities Help develop technical safety best practices and standards for frontier development, working closely with policy, research, and safeguards teams Support cross-lab discussions and initiatives and serve as the Anthropic representative in key standards initiatives and groups Review and give substantive input on federal, state, and global frontier AI safety bills, including on risk reporting, independent evaluation, and incident reporting, helping shape AI safety legislation development Work with our external affairs policy teams to strengthen our frontier AI legislative framework Contribute research and analysis across the policy team’s pacing workstreams, including developing novel policy proposals that address challenges related to the acceleration of AI R&D Engage with the external AI safety and governance community to track new thinking and feed it into our own Write clear memos and briefings that help leadership align on decisions Minimum qualifications Are fluent in frontier AI safety and technical AI governance: the main players, proposals, and debates Can read legislative text and comment usefully on it Have expertise in any of the following domains: loss-of-control, alignment, compute governance, independent evaluation, model weight security, risk reporting Write clearly for researchers, leadership, and policymakers Can pick up new technical topics quickly and translate them to the broader policy landscape Are comfortable with ambiguity and can own a project end to end Preferred qualifications Are excited about standards work, and also want to contribute across the wider technical governance agenda Have direct experience in an AI governance or safety research organization or frontier lab Have experience working closely with standards bodies or industry consortia Have experience developing and shaping technical legislation Have published novel policy thinking on AI governance 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 — $295,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 an Internal Communications Manager to serve as a dedicated communications partner to our go-to-market (GTM) organization – the teams responsible for selling and diffusing Claude into enterprises around the world. Internal communications at Anthropic is not a support function that plans meetings and sends newsletters. The best people in this role operate like advisors who embed themselves deeply in the orgs they support, earn a seat at the leadership table, write on behalf of executives, and see around corners, anticipating what the organization will need to hear before anyone asks for it. There are traditional elements to the role too, like all-hands planning and org change announcements, and you'll run those with operational excellence. This role can be based in either San Francisco or NYC. Responsibilities Own the internal communications strategy for your portfolio within GTM, becoming an expert in the team's work and a trusted member of its leadership support team Serve as an advisor to our Chief Commercial Officer and their team - helping them think through what to say and when, draft communications in their voice, and give them expert counsel People manage a small team (one/two directs), supporting the global GTM org Translate complex sales strategy and customer stories into narratives that land with employees across every function Anticipate communications needs before they arrive (e.g. launches, customer wins, organizational change, moments of external attention) and have a plan ready for how we’ll bring employees along Design and implement strategies to boost signal and reduce noise, so employees know what's important and what it means for them Plan and execute internal fora like all-hands and AMAs with operational excellence Partner closely with the broader internal communications team to ensure updates are accurately and consistently cascaded across existing channels and live forums You may be a good fit if you Are an exceptional writer with a particular talent for distilling complex concepts  into plain English, with a nose for great storytelling Have served as a trusted advisor to senior leaders and know how to build those relationships: when to push, when to listen, and how to deliver a recommendation even when it’s something an exec may not want to hear See the big picture and are able to connect individual team updates to company strategy and mission Have a keen eye for organizational culture and can recognize authentic moments worth amplifying Strong candidates may also Have 15+ years of experience in communications or an adjacent craft where you learned to make complex, high-stakes material clear under pressure (e.g journalism, speechwriting, chief of staff work, strategy and operations) Have worked at AI companies, frontier tech companies, or other organizations where the work moves faster than most people can follow Have built or run internal communications programs during periods of rapid organizational growth 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: $295,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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's Claude Partner Network (CPN) Reseller track lets authorized partners sell Claude directly to end customers. These partners bring Claude into accounts that Anthropic can't reach alone, and they need marketing that helps them build a real Claude practice: campaigns they can run with their own teams, funding they can put to work, and proof that moves them up through the partner tiers. This is a foundational, first-in-seat role with wide scope. You'll be the first dedicated partner marketer for the reseller track, and you'll lead it globally. You'll set its marketing strategy, define the standards and playbooks partners run against, and build the tier-advancement path from the ground up. You'll work across regions and with a network of agency partners to deliver programs at global scale. You'll shape how reseller marketing fits into Anthropic's broader partner strategy, working with Partnerships, Commercial Operations, Channel Account Managers, Partner Operations, Customer Marketing, and Communications to make sure reseller activity and Anthropic's direct sales point in the same direction. You'll also set the bar for the marketers who join the practice as it grows. Key responsibilities Set the marketing strategy for the reseller track, including priorities, investment choices, and quarterly and annual plans that connect partner activity to registered pipeline and reseller revenue Define the reseller marketing playbook and co-marketing standards, and keep them current as the program launches and expands Represent the partner marketing perspective in program design, working with Partnerships, Commercial Operations, and Legal on how benefits, MDF, and tier criteria will work in practice Build joint marketing plan templates for reseller partners, including campaign calendars and success metrics Source, select, and manage the agency partners that support reseller programs globally, including scope, budgets, quality standards, and performance reviews, and build a regional roster that can scale as the program expands Run partner-led campaigns with those agencies, using co-branded and localized kits for each market, and help partners adapt them for their own buyers Own partner marketing funds (MDF) end to end: help partners build proposals, track approvals and documentation, and connect every funded activity to registered pipeline Help partners reach their next tier by planning the customer stories, certification pushes, and public proof points each tier requires, on a timeline that fits the January and July tier reviews Turn partner wins into customer stories with Customer Marketing, from interview through partner and Anthropic approvals Coordinate joint announcements and press with Anthropic Communications, managing review timelines and holding partner copy to Anthropic's messaging and brand standards Partner with Channel Account Managers and the field on audience and account targeting, so reseller campaigns extend Anthropic’s reach into new customers and partner and direct motions reinforce each other Define how reseller marketing success is measured: set targets and KPIs for pipeline, reseller revenue, and campaign ROI, build the reporting, and use results to decide where to invest and what to change Report on partner-sourced pipeline and reseller revenue influence, with 30/60/90-day tracking on every activation Keep reseller partners informed through the CPN monthly broadcast and newsletter, and bring partner needs and results back into program planning Minimum qualifications Have owned marketing strategy for a partner or channel program, setting priorities and investment decisions rather than only executing against them Have built and run co-marketing programs with channel, reseller, or distribution partners, including partner-funded budgets (MDF, co-op, or similar) and ROI reporting Have sourced and managed agencies or contractors across multiple regions, including scoping work, managing budgets, and holding quality standards Have run marketing programs across multiple international markets Understand indirect sales motions, including how partners find, register, and close deals, and can write marketing that reaches partner sellers as well as end customers Can build joint plans and value propositions that articulate clear business outcomes for customers Have defined success measures for a partner or channel program and used the results to change investment decisions Are skilled at tracking program performance in a CRM or equivalent system, and can turn that data into clear recommendations Write clearly and precisely, and can hold partner-produced copy to brand and approval standards Build trusted relationships with partner marketing and sales teams, and can move priorities forward with partners you don't manage Can make and defend decisions with incomplete data, and know when to escalate Are highly organized and can run several partner plans at once without dropping quality Are comfortable building new processes from scratch, in an environment where the playbook is still being written Take ownership of outcomes and step in wherever the work needs you Care about the societal impacts of AI and are excited about enabling organizations to adopt AI responsibly Preferred qualifications Have 7+ years of marketing experience, with significant focus on partner marketing in B2B technology environments Have launched or scaled a partner program from its early stages, including tier design, benefits, and promotion criteria Have produced partner-led customer stories, including managing approvals and public announcement timelines Have experience with cloud marketplace reseller motions, such as private offers or co-sell programs Have localized marketing content and campaigns for multiple international markets Have established relationships with resellers, distributors, or systems integrators Have experience with partner relationship management tools and Salesforce partner data Understand enterprise AI use cases across industries and functions Have set standards for or mentored other marketers, formally or informally Have used Claude or other AI tools to scale their own marketing work 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: $320,000 — $400,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. Priority Application Deadline: November 9, 2026 Location: This role is remote but must overlap with an East Africa timezone by at least 3 hours . We are unable to sponsor or take over sponsorship of employment visas in the U.S. or U.K. at this time. About this role The Monitoring and Evaluation (M&E) Associate for Rapid Experimentation will support the execution and analysis of A/B tests across GiveDirectly’s programs, contributing to the use of data to inform program and product decisions. This role is fast-paced and iterative - the team runs frequent, lightweight experiments designed to generate actionable answers quickly, and then uses those learnings to refine and improve programs in real time. This includes: Supporting the execution and analysis of rapid A/B tests across GiveDirectly projects , ensuring that experiments are implemented effectively and contribute to learning within and across projects Ensuring experiments are implemented correctly, measured reliably, and analyzed to produce clear and credible results , working closely with Programs, Product, Research teams, and external academic partners to align experimental design with program delivery, data collection, and operational realities Translating findings into actionable insights and well-structured learning products that serve multiple audiences - internal program and product teams, and external academic partners, ensuring results inform both immediate decisions and longer-term program direction In practice, this role is about managing a high volume of rapid experiments and turning results into clear, credible evidence that continuously shapes how GiveDirectly’s programs are refined and improved. Reports to: Senior Manager, Monitoring and Evaluation Level : Associate Travel Requirement: This role is based in Rwanda. Travel within East Africa is a regular part of the role, estimated at up to 25% of the time, to support field operations across country programs.Additional international travel may occur for trainings or team convenings, as needed (estimated up to 10%) What you’ll do: Execute and manage A/B tests across programs Conduct power calculations to ensure experiments are both statistically rigorous and feasible to implement within program constraints Set up pre-specified experimental designs, applying defined experimental groups, outcome measures, and measurement timelines Review experiment setups prior to launch and flag execution and measurement risks that may affect interpretability Ensure experiments are well-coordinated and executed as designed, aligning implementation with research plans and integrating smoothly into program delivery across Programs and Product teams Work at a fast pace across a portfolio of 2–3 live A/B tests at any given time, designed to generate actionable answers quickly and feed rapid iteration of programs and products Ensure accurate measurement and high-quality data for experiments Collaborate with external Principal Investigators (PIs) to ensure measurement approaches and data collection are aligned with research design and implementation realities Ensure experimental outcomes are captured accurately and consistently by applying established indicator and measurement approaches Prepare and manage datasets that are clean, well-structured, and ready for analysis using survey, administrative, and product data Identify and flag data quality risks (e.g., missingness, inconsistencies, measurement error) that could affect the validity of experimental conclusions Conduct targeted literature reviews to ensure measurement approaches are grounded in evidence and aligned with best practices Analyze experimental data and interpret results to inform decisions Generate reliable and decision-ready analyses of experimental data from A/B tests Assess the magnitude and direction of effects and highlight what the results do and do not suggest, noting key limitations Ensure results are clearly understood and appropriately interpreted, given data quality, sample size, and implementation considerations Translate results into actionable insights and learning across experiments Translate experimental results into clear, actionable recommendations to guide program and product decisions for individual country programs, and for the direction of GiveDirectly’s programming as a whole Structure results and key learnings so they can be reused to inform future experiments and program design Prepare concise learning products (e.g., memos, summaries) that serve multiple audiences, including internal Programs and Product teams, and external academic partners, ensuring findings are clearly communicated for both technical and non-technical stakeholders Prepare and clean de-identified datasets for sharing with external PIs and academic partners, ensuring data is structured, well-documented, and ready for independent analysis Contribute to cross-country discussions to ensure learnings from experiments are shared and applied across contexts, and maintain clear documentation so experiments are easy to track, understand, and build on over time What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem-solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Bachelor’s degree (or equivalent) in Economics, Statistics, Public Policy, or a related quantitative field 2–4 years of experience working with data in applied settings (e.g., experimentation, evaluation, analytics, or program learning), ideally in development, tech, or operations-focused roles Solid understanding of experimental design and causal inference concepts (e.g., randomization, treatment/control groups, units of randomization, statistical power, bias) and how to apply them in real-world program contexts Experience using R, Python, or Stata to clean, manipulate, and analyze data, including working with multiple data sources (e.g., survey or administrative data) Experience collaborating with cross-functional teams (e.g., programs/operations, product, or research) and external partners to implement projects and solve problems Fluency in English required Comfort working at pace - able to manage multiple workstreams simultaneously, make progress with imperfect data, and iterate quickly based on emerging findings Ability to interpret results beyond statistical significance and communicate clear, actionable insights to both technical and non-technical audiences Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. Kenya Base Salary: $46,930 Bonus at Target Performance: 10% Rwanda Base Salary: $38,560 Bonus at Target Performance: 10% UK Base Salary: £52,920 Bonus at Target Performance: 10% Annual Benefits Stipend: £2,760 United States Base Salary: $81,000 Bonus target: 10% Annual Benefits Stipend: $21,393 This role is fully remote, with a preference for candidates to be based in Kenya or Rwanda. If you’re located elsewhere, we’ll share an estimated salary benchmark for your country during the hiring process. You can find the full list of countries we’re currently able to hire in here . Why work at GiveDirectly? At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including: A supportive team that works hard and cares hard A robust health benefits plan (exact details will vary by country) Flexible paid time off that staff is encouraged to take Allowances for desk set-up and learning and development #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !