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Location: Remote-Friendly (Travel Required) | San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. You'll be the engineer for one or more security domains end to end: design the controls, build the systems that enforce and verify them, and set the technical standard the rest of the team and our partners build to. The engineering is in the controls and the tooling that proves them. The goal is security that runs itself: requirements kept as code and checked automatically, evidence, chain of custody and access continuously verified, and tools and agents in place of manual reviews. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. This is a foundational role: you'll shape how our security engineering is built and scaled. The team's physical security systems engineers design and test the site security systems themselves; this role engineers the controls around them and across the domains beyond the facility itself: hardware custody, media, personnel and vendors. You'll work with the rest of DCSE, Anthropic's compute, data center operations, legal, compliance and procurement teams, and directly with data center operators, hardware vendors and logistics providers. The role involves regular travel to data center sites, which are critical infrastructure, and may include on-call for security events at them. Key responsibilities Security domains, end to end: own one or more of physical security at partner-operated and Anthropic-operated sites, hardware supply chain and chain of custody, media protection and sanitization, personnel security and site access, third-party and vendor security assessment, and maintenance and contingency controls Tools, automation and AI agents: build the internal tools, automation and agents the team runs on: evidence collection, access reviews, asset and custody tracking, partner intake. When a process keeps costing people time, you build the tool that retires it Security review for new sites, leases and vendors: find the gaps in the design, the contract and the operator's procedures, write the security terms and exhibits, and verify the fixes after signing Requirements and procedures as code: write requirements and procedures that a partner can build to and an assessor can test, kept as code in a version-controlled repository Site and supplier assessment: assess sites and suppliers against those requirements, on site and from evidence; document deviations and engineer the compensating control where a requirement can't be met as written Continuous compliance evidence: tie controls to the compliance frameworks we and our partners are assessed against, with evidence always current so an assessment pulls from it directly Security event response: respond to security events at sites (intrusion alarms, custody breaks, access violations) with operations teams and site operators; write up what happened and fix the control that allowed it Minimum qualifications Have engineered a security control domain end to end: designed the controls, built or integrated the systems that enforce them, and verified they work Read and review code, design the data systems behind security tooling, and build automation (often with AI coding agents) using Git and code review Have done security work hands-on for data centers, critical infrastructure or a large hardware fleet, in at least one of the domains under Key responsibilities Have applied a control framework such as NIST SP 800-53, ISO 27001 or SOC 2 to real systems and produced the evidence for it Write requirements a third party can build to and an assessor can test: each states what must be true, how it is verified and what evidence shows it Preferred qualifications Experience across several of the domains above rather than one Experience at sites you did not fully control: cloud, colocation or GPU cloud operators Experience with federal assessment regimes based on NIST SP 800-53, including supply chain (NIST SP 800-161) and media sanitization (NIST SP 800-88) guidance; have produced evidence an assessor accepted Have built governance, risk and compliance (GRC) or evidence automation: automated control checks, asset or custody tracking, questionnaire and assessment pipelines, docs-as-code workflows Have run incident response at physical sites: alarms, investigations, after-action fixes Have worked in live data halls and on active construction sites, and can follow a method of procedure Experience redlining contract security language with legal and procurement counterparts Experience with international sites: per-country personnel screening and staffing restrictions, data residency, and export controls on hardware Have built AI agents or automation that replaced recurring manual security 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 — $405,000 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: 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 As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to semiconductor organisations across the Netherlands. You'll drive the adoption of safe, frontier AI by securing strategic deals with semiconductor equipment makers, chip designers and manufacturers, and the specialist suppliers around them. You'll leverage your consultative sales expertise in the semiconductor and high-tech sector to propel revenue growth while becoming a trusted partner to semiconductor stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across hardware and software engineering, R&D, manufacturing, supply chain and field service. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with semiconductor decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the semiconductor sector. Navigate complex, global, engineering-led organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to semiconductor procurement cycles, R&D and capex budgeting, and supplier qualification processes to meet and exceed revenue quotas. Analyse semiconductor market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within hardware and software engineering, design and verification, R&D, manufacturing and quality, supply chain and procurement, and customer support and field service. Collaborate cross-functionally to differentiate our offerings for semiconductor applications Navigate complex semiconductor stakeholder ecosystems including executives, engineering and R&D leadership, IT and security teams, digital transformation functions, legal and compliance, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from users and conveying semiconductor market needs. Provide insights that strengthen our value proposition for semiconductor clients Continuously refine the semiconductor sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within semiconductor, high-tech or advanced manufacturing organisations, ideally in the Netherlands or wider Benelux, and securing strategic deals by understanding both technical requirements and engineering use cases Demonstrated ability to navigate large, global, engineering-led organisations and procurement processes, building consensus among diverse stakeholders including executives, engineering and R&D leadership, and IT departments Extensive experience negotiating complex agreements within high-tech procurement frameworks, including supplier onboarding, IP protection, security and data governance reviews Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various technical and business audiences, from engineering and R&D leads to senior executives Deep understanding of semiconductor buying cycles, decision-making processes, and key pain points, including the IP sensitivity, export control and supply chain pressures the industry operates within A strategic, analytical approach to assessing the semiconductor market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for semiconductor and high-tech use 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: £330,000 — £380,000 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 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 Senior Engineer on the Life Sciences team, you'll build biology software that our own scientists and the wider research community can depend on, and you'll be one of the main people representing that work to computational biologists outside Anthropic. The Life Sciences team works to accelerate progress in biology with AI, combining frontier models with hands-on computational and experimental research. We want the tools, pipelines, datasets, and benchmarks we build in genomics and structural biology to be useful beyond our own projects, so we plan to release them to the community. Computational biology has a long tradition of open, shared software, and we want to contribute to it well. Every release should be something a researcher can install, run on their own data, and trust: correct on real inputs, validated against reference data and established methods, documented, versioned, and maintained after launch. You'll own that standard. You'll write a large share of the code yourself, decide when something is ready to ship, and stay with it once people start using it. You'll also be an active member of the biology software community: maintaining public repositories, answering issues, speaking at conferences and workshops, and bringing what you hear from researchers back into what we build next. We use Claude and AI coding agents heavily to build software, and we expect you to do the same across design, implementation, testing, and review. Code written by an agent is held to the same standard as code written by hand: you should understand it, test it, and measure its performance before it ships. We're looking for someone with deep software engineering experience who already works this way. The shape of the role is flexible. You might spend most of your time as an individual contributor, or you might lead a small group of engineers and scientists while continuing to contribute directly. Your focus can be genomics, structural biology, or both. Experience in other areas of computational biology is welcome, and we expect the work to range more widely over time. What matters most is a record of biology software that other people have adopted and relied on. This is a chance to shape how AI is put to work in biological research, on problems that matter for human health and scientific understanding. If building software that scientists trust is the work you want to do, we want to hear from you. Key responsibilities Design, build, and maintain biology software in genomics and structural biology (libraries, command-line tools, pipelines, datasets, and benchmarks) for use by researchers and AI agents, inside Anthropic and externally Own the path from research code to public release, including testing, validation against reference data and established tools, benchmarking, documentation, and packaging, and make the call on when something is ready to ship Maintain what we release: triage issues, review outside contributions, and manage breaking changes Represent the team in the biology community through conferences, workshops, tutorials, and direct work with researchers and maintainers, and turn what you learn about their needs into priorities for the team Partner with the team's computational and experimental scientists to turn research code into well-tested, reusable software Lead the technical direction of the projects you own through design review, code review, and mentoring, and, depending on your interests and the team's needs, lead a small team Build with Claude and AI coding agents as your default way of working, hold agent-written code to the same standard as your own, and set the team's practices for reviewing and validating it Minimum qualifications Have built, released, and maintained biology software that researchers outside your own group use, with evidence of adoption you can point to (for example public repositories, package downloads, citations, or use in other groups' pipelines) Have deep working expertise in genomics or structural biology, including the data types, file formats, standard tools, and common failure modes of at least one of these fields Are proficient in Python and comfortable working with large datasets in Linux and cloud or cluster computing environments Practice rigorous testing and release engineering: unit and integration tests, continuous integration, validation against reference data, packaging, and versioning Use AI coding tools as a central part of how you build software, and can show how you verify the correctness and performance of code you did not write by hand Have led a technical project with multiple contributors, setting direction and reviewing others' work while continuing to write code yourself Can explain technical work clearly to both biologists and engineers, in writing (documentation, tutorials) and in person (talks, workshops) Preferred qualifications Depth in both genomics and structural biology A record as the creator or a core maintainer of a widely used open-source tool in computational biology Experience managing or formally leading a team of engineers or scientists A graduate degree in computational biology, bioinformatics, computer science, or a related field, or equivalent experience Proficiency in a systems language such as Rust, C++, or C, and experience with performance work on large biological datasets Experience building software in other areas of computational biology, such as phylogenetics, proteomics, cheminformatics, or high-throughput screen analysis Experience shipping software built largely with AI coding agents, building agentic systems on large language models, or training machine learning models on biological sequence or structure data 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: $300,000 — $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: Warsaw, Poland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At DoorDash International, we're building the future of local commerce across some of Europe's leading delivery businesses, including Wolt and Deliveroo. Our teams work across brands and markets to identify opportunities, build scalable solutions and turn global capabilities into meaningful local impact. Why Join Us? At DoorDash International, execution drives impact. We combine the scale and technology of a global platform with a deep understanding of our local markets. You'll work across Wolt and Deliveroo, partnering with teams throughout EMEA markets to solve complex business problems and scale what works. If you're passionate about using data to identify growth opportunities, turning insights into action and working across markets to drive measurable business impact, this is an opportunity to help shape how we grow our Restaurant business through better menus. What you'll be doing We are seeking a Menu Growth Senior Specialist to support Restaurant growth by improving restaurant Menu Performance and driving adoption of menu-related growth initiatives across EMEA. Menus are a critical part of the customer and merchant experience. Their quality, completeness and use of growth features can influence customer choice, basket size and overall merchant performance. You will work closely with the Menu Growth Manager to analyze menu performance, identify opportunities and translate insights into concrete initiatives. You will take end-to-end ownership of defined workstreams, such as Menu Completeness,  and work with local Account Management and Merchant Operations teams to execute them across markets and measure their impact. This is a hands-on Strategy & Operations role combining analytics, project management and stakeholder collaboration. You will independently drive your initiatives from analysis through execution and performance tracking, while partnering with the Menu Growth Manager and Consumer Teams on broader strategy and prioritization. Day-to-day in this role you'll: Menu Growth Analysis (~30%) Analyze consumer needs around menu, merchant and business performance to identify gaps and growth opportunities. Use SQL, Snowflake, spreadsheets and dashboards to investigate performance and support data-driven decision-making. Work with the Menu Growth Manager to turn insights and hypotheses into concrete initiatives. Track key metrics including and identify markets or merchant segments requiring additional focus. Support impact measurement and experimentation to understand which interventions improve merchant and business outcomes. Prepare clear analyses and recommendations that help EMEA and local teams make informed decisions. Initiative Execution (~45%) Own defined Menu Growth initiatives end-to-end, from planning through market rollout and performance tracking. Support the rollout and adoption of EMEA initiatives Translate initiatives into clear execution plans, timelines, materials and actions for participating markets. Track progress against agreed targets and proactively identify execution gaps or blockers. Coordinate follow-ups with local teams and support them in implementing agreed actions. Measure results, document learnings and recommend improvements together with the Menu Growth Manager. Help scale successful approaches and best practices across EMEA markets. Market & Stakeholder Collaboration (~25%) Work closely with local Account Management and Merchant Operations teams and their leaders across EMEA. Support markets in understanding menu performance gaps and translating insights into concrete actions. Build strong relationships with local stakeholders to drive adoption and execution of Menu Growth initiatives. Gather structured market feedback and use it to improve future initiatives. Coordinate with Analytics and Product when initiatives require additional data, insights or tooling support. Share successful approaches and learnings across markets to accelerate adoption and reduce duplicated effort. Our humble expectations 2–4 years of experience in Strategy & Operations, Business Operations, Marketplace/Commercial Operations or a comparable analytical role. Strong analytical and structured problem-solving skills, with the ability to turn data into actionable recommendations. Comfortable working with large datasets, SQL/Snowflake, Excel/Google Sheets and BI/dashboarding tools. Familiarity with hypothesis-driven problem solving, experimentation and A/B testing principles. First project management experience, with the ability to independently drive defined initiatives from analysis through execution. A commercial mindset and curiosity about how merchant and customer behavior translates into business growth. Strong stakeholder-management skills and a proactive, action-oriented approach to driving execution across teams and markets. Fluent business English; experience in marketplaces, food delivery, e-commerce or high-growth tech is a plus. What we offer A fast-growing tech company with lots of career opportunities, both locally and internationally; Employee Assistance Programme - therapy and wellbeing; Employee discount on all Wolt orders; Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an ongoing basis, so if this sounds like an opportunity you want to pursue, apply today! The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position is not eligible for consideration for an equity/RSU grant. Pay Range: 10 002 zł — 12 502 zł PLN Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: 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 Anthropic's global order-to-cash (O2C) function is scaling faster than the processes and systems behind it, across direct enterprise contracts, consumption-based commercial models, and third-party cloud marketplaces. We're looking for a Director, Order-to-Cash Assurance to make sure every order is priced, billed, collected, and recorded correctly, and that we can prove it. You'll be embedded in the O2C Transformation team, working closely with Order Management, AR & Collections, Revenue Accounting, Billing Engineering, and Go-to-Market. You'll design and run the pricing audits and accuracy measures that show us where we leak revenue or create rework, then fix the root cause at the source. You'll be the compliance advocate for global O2C, helping the business find the compliant way to yes, and often improving a process by removing steps rather than adding them. You'll thrive here if you treat accuracy and compliance as design problems and as a service to the business. You are firm when the risk is real, flexible when it isn't, and able to explain the difference. If you're energized by ambiguous, high-consequence operational problems at a company at the forefront of AI development, we'd like to hear from you. Key responsibilities Design and run recurring audit programs across the O2C lifecycle, including pricing audits, contract-to-invoice accuracy, credits, refunds and concessions, and cash application Define accuracy metrics with baselines and targets, such as pricing and invoice error rates, first-pass yield, rework volume, and revenue leakage, and report them in a way teams can act on Trace findings to root cause and work with the owning team on the fix, whether in process, system configuration, or contract and pricing standards Move measurement from periodic sampling to continuous, system-driven monitoring as volume grows Partner with Order Management and AR operations as their quality partner, and help GTM, Deal Desk, Sales Operations, and Product understand what accurate and compliant looks like through clear published guidance that shortens the path to yes Review new processes, process changes, commercial models, and exceptions against policy and control requirements, with clear decision rights, service levels, and rationale that stay consistent across regions, entities, and channels Build compliance into new products, channels, commercial models, and regions by joining at intake rather than at the end Own O2C policies, control ownership, and segregation of duties Partner with Internal Audit, external auditors, Revenue Accounting, Tax, and Legal so audit cycles run smoothly, and resolve findings at the root cause Perform independent review activities, including month-end close reviews, so operations teams can focus on execution while independence is preserved Create reusable, pre-approved process patterns and guardrails so teams can move quickly without a bespoke review every time, harmonizing globally and localizing only where statute requires Work with Billing Engineering, GTM Systems, and Business Technology to build controls and accuracy checks into the systems themselves, so quality scales with volume Deploy AI and automation for exception detection, reconciliation, anomaly detection, and evidence collection Minimum qualifications Hands-on experience designing and running audit, quality, or revenue assurance programs within order-to-cash, billing operations, or quote-to-cash Working knowledge of revenue recognition (ASC 606) and experience partnering with internal and external auditors Experience with contracting systems, billing platforms, or ERP systems (for example Salesforce, Stripe, or Workday Financials) Proficiency with SQL or similar tools for analyzing and testing transactional data Experience using automation or AI for monitoring, testing, or reporting Preferred qualifications 10+ years of progressive experience in revenue operations, billing operations, revenue assurance, finance operations, or internal controls within order-to-cash at a public company A track record of simplifying processes, with concrete examples of steps or controls you removed while improving accuracy or strengthening the control environment A degree in Accounting, Finance, Business, Engineering, or a related field CPA, CIA, CISA, or CRISC certification, or Lean Six Sigma or PMP certification Experience building or scaling a SOX program, including readiness for public-company reporting requirements Experience with global, multi-entity operations, including statutory invoicing and tax considerations Experience serving both B2C and B2B customers, especially with consumption-based and subscription billing models through to collections Experience working with go-to-market, deal desk, and revenue operations organizations Strong cross-functional influence and clear communication about issues and decisions Understanding of AI industry business models and enterprise customer needs The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Anywhere in Belgium HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ YOUR MISSION As we continue to build our Sales team locally, we are looking for several ‘full-stack’ Sales. You can call it Sales, Business development... What is important for us is the mission:  help companies transition to a more personal, proactive and holistic health partner. At Alan, Sales drive deals, manage key customer relationships and help close strategic opportunities with prospects. You are directly responsible for educating prospects, providing inspiring product demonstrations, and onboarding companies’ key stakeholders as you make the transition from prospect to customer.  At the same time, we expect you to understand, embrace and apply the Alan Smart & Soft selling method. This method stems from the concept that the prospect experience is an inseparable piece of the overall Alan customer experience.  You are expected to make this experience pleasant, instructive and delightful by leveraging the most relevant messaging and materials (Smart) and by defining the high-touch strategy that suits best each prospect (Soft).  We also expect you to look at the big picture and help us grow and improve as a company. For that, you’ll have to be real team players even beyond your role. You’ll be expected to challenge us to improve our product(s), our methods and our strategy, and get involved in other projects and initiatives relevant to growing our customer base.  ⭐ SALES TEAM AT ALAN ⭐  Since we opened our Belgium market in 2020, we have experienced great momentum and traction. We’ve onboarded 800+ companies, and delighted 40.000+ members so far. Our local team is growing (so far we went from 0 to 65+ in just over 5 years 🚀). We now want to take the market by storm and exponentially grow the business to ultimately become the market leader by 2030 in Belgium. Our sales team is the engine that drives our B to B customer reach. We want to keep that bar very high by hiring the most exceptional Sales! Being a Sales at Alan means joining a team of talented, committed and passionate sales experts. We move fast, with a lot of ownership, and are proud to tackle big problems!  Do you want to get a glimpse of the team? ⬇️ Watch Arthur's video, or click on Laura’s https://www.youtube.com/watch?v=Ln_ln6Nu6M0 or Amelie's https://www.youtube.com/watch?v=Sdr96aXBTw4&list=PL643LyZcrKMBB6X2XXrif644EaLHygW47&index=7 name to hear their testimonial. ⭐ YOUR PROFILE ⭐  You will be a good fit to join the Sales team at Alan if you:  - Have previous experience in a Sales role  - Have strong written & verbal communication skills - Are fluent in English and French and/or Dutch - Are highly organized with exceptional follow-up skills  - Have empathy and are passionate about understanding and solving prospects' problems  - Ability to manage influence through persuasion, negotiation, and consensus building - Deep understanding of value drivers in recurring revenue business models - A great attitude and ability to collaborate in a small team - Have a desire to learn fast and make an impact from day 1  Everything else is a plus. We care about having a diversity of experiences, profiles and backgrounds in our team.  For this opportunity, we are aiming to hire within the B0-C0 level range https://alan.com/en/careers/a/salary-equity. 🙌   PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.  Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary. - Flexible Office. Amazing office space at our HQ in Paris, sponsored co-working hubs in Ghent, Brussels or Antwerp or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your  time as you  wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. You can use your own inspiration based on the Green mobility budget - Learning & Training opportunities. A highly  flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.#LI-DNP

Location: Milan, Italy About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to public sector organisations across Italy. You'll drive the adoption of safe, frontier AI by securing strategic agreements with central government ministries, regional and local administrations, and public agencies. You'll leverage your consultative sales expertise in the public sector to propel revenue growth while becoming a trusted partner to public sector stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in citizen services, administration, and research. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with public sector decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help public institutions obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the public sector in Italy. Navigate complex public institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to public procurement cycles and budgeting processes, including tenders, framework agreements, and partner or resale routes, to meet and exceed revenue quotas. Analyse public sector landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within ministries, agencies, and administrative departments. Collaborate cross-functionally to differentiate our offerings for public sector applications Navigate complex public sector stakeholder ecosystems including senior officials, digital and technology leaders, IT departments, and procurement offices to build consensus Lead conversations with customers on data sovereignty, security, and compliance, working with Security, Legal, and Product colleagues on how we meet those requirements Inform product roadmaps and features by gathering feedback from public sector users and conveying public sector needs. Provide insights that strengthen our value proposition for public institutions Continuously refine the public sector sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 7+ years of B2B sales experience in SaaS, API solutions, or emerging technologies, including selling to public sector organisations in Italy A track record of managing complex sales cycles within public institutions and securing strategic agreements by understanding both technical requirements and public sector use cases Practical command of Italian public procurement, including tenders, framework agreements, central purchasing bodies, and partner or resale routes Demonstrated ability to navigate public sector organisational structures, building consensus among diverse stakeholders including senior officials, digital and technology leaders, and IT departments Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various public sector audiences, from technical teams to senior officials Deep understanding of public sector buying cycles, decision-making processes, and key pain points, including data sovereignty, security, and compliance requirements A strategic, analytical approach to assessing the public sector market combined with creative, tactical execution to capture opportunities Bilingual proficiency in Italian and English, with excellent written and spoken communication in both A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for use by public institutions Nice to have: familiarity with the security and compliance frameworks that apply to technology purchasing in the Italian public sector. Il ruolo In qualità di Enterprise Account Executive in Anthropic, entrerai a far parte del team fondatore impegnato in prima linea nel portare la nostra API di produttività basata su IA all'avanguardia e le nostre soluzioni SaaS alle organizzazioni del settore pubblico in Italia. Promuoverai l'adozione di un'IA di frontiera e sicura concludendo accordi strategici con ministeri e amministrazioni centrali, amministrazioni regionali e locali ed enti pubblici. Metterai la tua esperienza di vendita consulenziale nel settore pubblico al servizio della crescita dei ricavi, diventando un partner di fiducia per gli interlocutori del settore e aiutandoli a integrare e adottare l'IA e a scoprirne tutte le potenzialità nei servizi ai cittadini, nell'amministrazione e nella ricerca. In collaborazione con i team GTM, Prodotto e Marketing, perfezionerai costantemente la nostra proposta di valore, la nostra metodologia di vendita e il nostro posizionamento, perché siano rilevanti per chi prende le decisioni nel settore pubblico. Il profilo ideale ha la passione per lo sviluppo di nuovi segmenti di mercato, per l'individuazione delle opportunità ad alto potenziale e per l'attuazione delle strategie necessarie a coglierle. Favorendo la diffusione dei prodotti emergenti di Anthropic, aiuterai le istituzioni pubbliche ad acquisire nuove capacità, contribuendo al tempo stesso allo sviluppo etico dell'IA. Responsabilità: Acquisire nuovi clienti e generare ricavi per Anthropic nel settore pubblico in Italia. Orientarti all'interno di istituzioni pubbliche complesse per raggiungere le figure decisionali chiave, far conoscere i nostri servizi e aiutarle ad avere successo con Anthropic. Sarai responsabile dell'intero ciclo di vendita, dal primo contatto alla chiusura. Definire e attuare strategie di vendita innovative, adatte ai cicli degli appalti pubblici e ai processi di bilancio, comprese gare, accordi quadro e canali di vendita tramite partner o rivenditori, per raggiungere e superare gli obiettivi di fatturato. Analizzare lo scenario, le tendenze e le dinamiche del settore pubblico per tradurre i piani strategici in attività e campagne commerciali mirate. Guidare l'espansione sul mercato individuando nuovi casi d'uso all'interno di ministeri, enti e uffici amministrativi. Collaborare in modo trasversale per differenziare la nostra offerta per le applicazioni del settore pubblico. Muoverti in ecosistemi complessi di interlocutori del settore pubblico (dirigenti apicali, responsabili della trasformazione digitale e della tecnologia, direzioni IT e uffici acquisti) per costruire consenso. Guidare il confronto con i clienti su sovranità dei dati, sicurezza e conformità normativa, lavorando con i team Sicurezza, Legale e Prodotto sul modo in cui rispondiamo a questi requisiti. Contribuire alla roadmap e alle funzionalità di prodotto raccogliendo il feedback di chi utilizza le nostre soluzioni nel settore pubblico e portandone all'interno le esigenze. Fornire indicazioni che rafforzino la nostra proposta di valore per le istituzioni pubbliche. Perfezionare costantemente la metodologia di vendita per il settore pubblico, integrando quanto appreso in playbook, modelli e buone pratiche. Individuare miglioramenti di processo che ottimizzino la produttività e la coerenza commerciale. Potresti essere la persona giusta se hai: Almeno 7 anni di esperienza nella vendita B2B (SaaS, soluzioni API o tecnologie emergenti), compresa la vendita a organizzazioni del settore pubblico in Italia Una comprovata esperienza nella gestione di cicli di vendita complessi all'interno di istituzioni pubbliche e nella conclusione di accordi strategici, fondata sulla comprensione sia dei requisiti tecnici sia dei casi d'uso del settore pubblico Una padronanza concreta degli appalti pubblici italiani: gare, accordi quadro, centrali di committenza e canali di vendita tramite partner o rivenditori Una capacità dimostrata di muoverti nelle strutture organizzative del settore pubblico, costruendo consenso tra interlocutori diversi, tra cui dirigenti apicali, responsabili della trasformazione digitale e della tecnologia e direzioni IT Un'esperienza comprovata nel superare gli obiettivi di fatturato grazie a una gestione efficace di una pipeline e di un processo di vendita in continua evoluzione Eccellenti capacità di comunicazione e la sicurezza necessaria per presentare a interlocutori diversi del settore pubblico, dai team tecnici ai dirigenti apicali Una conoscenza approfondita dei cicli di acquisto, dei processi decisionali e delle principali criticità del settore pubblico, compresi i requisiti di sovranità dei dati, sicurezza e conformità normativa Un approccio strategico e analitico al mercato del settore pubblico, unito a un'esecuzione tattica e creativa per cogliere le opportunità Padronanza dell'italiano e dell'inglese a livello bilingue, con un'eccellente comunicazione scritta e orale in entrambe le lingue Passione per i sistemi di IA avanzati e le loro applicazioni, o esperienza diretta con essi. Ti sta a cuore che i sistemi di IA di frontiera siano sviluppati in modo sicuro ed etico per l'uso da parte delle istituzioni pubbliche. Costituisce titolo preferenziale: familiarità con i quadri di sicurezza e conformità normativa applicabili agli acquisti di tecnologia nel settore pubblico italiano. 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: Madrid, Spain About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to public sector organisations across Spain. You'll drive the adoption of safe, frontier AI by securing strategic agreements with central government ministries, regional and local administrations, and public agencies. You'll leverage your consultative sales expertise in the public sector to propel revenue growth while becoming a trusted partner to public sector stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in citizen services, administration, and research. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with public sector decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help public institutions obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the public sector in Spain. Navigate complex public institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to public procurement cycles and budgeting processes, including tenders, framework agreements, and partner or resale routes, to meet and exceed revenue quotas. Analyse public sector landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within ministries, agencies, and administrative departments. Collaborate cross-functionally to differentiate our offerings for public sector applications Navigate complex public sector stakeholder ecosystems including senior officials, digital and technology leaders, IT departments, and procurement offices to build consensus Lead conversations with customers on data sovereignty, security, and compliance, working with Security, Legal, and Product colleagues on how we meet those requirements Inform product roadmaps and features by gathering feedback from public sector users and conveying public sector needs. Provide insights that strengthen our value proposition for public institutions Continuously refine the public sector sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 7+ years of B2B sales experience in SaaS, API solutions, or emerging technologies, including selling to public sector organisations in Spain A track record of managing complex sales cycles within public institutions and securing strategic agreements by understanding both technical requirements and public sector use cases Practical command of Spanish public procurement, including tenders, framework agreements, central purchasing bodies, and partner or resale routes Demonstrated ability to navigate public sector organisational structures, building consensus among diverse stakeholders including senior officials, digital and technology leaders, and IT departments Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various public sector audiences, from technical teams to senior officials Deep understanding of public sector buying cycles, decision-making processes, and key pain points, including data sovereignty, security, and compliance requirements A strategic, analytical approach to assessing the public sector market combined with creative, tactical execution to capture opportunities Bilingual proficiency in Spanish and English, with excellent written and spoken communication in both A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for use by public institutions Nice to have: familiarity with the security and compliance frameworks that apply to technology purchasing in the Spanish public sector. Acerca del puesto Como Enterprise Account Executive en Anthropic, te incorporarás al equipo fundacional que está a la vanguardia de la introducción de nuestra API de productividad con IA de última generación y de nuestras soluciones SaaS en las organizaciones del sector público en España. Impulsarás la adopción de una IA de vanguardia y segura mediante acuerdos estratégicos con ministerios de la Administración General del Estado, administraciones autonómicas y locales y organismos públicos. Pondrás tu experiencia en venta consultiva en el sector público al servicio del crecimiento de los ingresos y te convertirás en un socio de confianza para los interlocutores del sector, ayudándoles a integrar y desplegar la IA y a descubrir todo su potencial en los servicios a la ciudadanía, la administración y la investigación. En colaboración con los equipos de GTM, Producto y Marketing, perfeccionarás de forma continua nuestra propuesta de valor, nuestra metodología de ventas y nuestro posicionamiento para que conecten con quienes toman las decisiones en el sector público. El perfil ideal siente pasión por desarrollar nuevos segmentos de mercado, identificar oportunidades de alto potencial y ejecutar las estrategias que permiten aprovecharlas. Al impulsar el despliegue de los productos emergentes de Anthropic, ayudarás a las instituciones públicas a adquirir nuevas capacidades y contribuirás al desarrollo ético de la IA. Responsabilidades: Conseguir nuevos clientes y generar ingresos para Anthropic en el sector público en España. Orientarte en instituciones públicas complejas para llegar a las personas clave en la toma de decisiones, darles a conocer nuestros servicios y ayudarles a tener éxito con Anthropic. Serás responsable de todo el ciclo de venta, desde el primer contacto hasta el cierre. Diseñar y ejecutar estrategias comerciales innovadoras adaptadas a los ciclos de contratación pública y a los procesos presupuestarios, incluidas las licitaciones, los acuerdos marco y las vías de venta a través de partners o revendedores, para alcanzar y superar los objetivos de ingresos. Analizar el panorama, las tendencias y la dinámica del sector público para convertir los planes estratégicos en acciones y campañas comerciales específicas. Liderar la expansión en el mercado identificando nuevos casos de uso en ministerios, organismos y departamentos administrativos. Colaborar de forma transversal para diferenciar nuestra oferta en las aplicaciones del sector público. Desenvolverte en ecosistemas complejos de interlocutores del sector público (altos cargos, responsables de transformación digital y tecnología, departamentos de TI y órganos de contratación) para generar consenso. Liderar las conversaciones con los clientes sobre soberanía del dato, seguridad y cumplimiento normativo, trabajando con los equipos de Seguridad, Legal y Producto en la forma en que respondemos a esos requisitos. Contribuir a la hoja de ruta y a las funcionalidades del producto recogiendo las opiniones de las personas usuarias del sector público y trasladando sus necesidades. Aportar ideas que refuercen nuestra propuesta de valor para las instituciones públicas. Perfeccionar de forma continua la metodología de ventas para el sector público incorporando lo aprendido a playbooks, plantillas y buenas prácticas. Identificar mejoras de proceso que optimicen la productividad y la coherencia comerciales. Este puesto puede encajar contigo si tienes: Al menos 7 años de experiencia en ventas B2B (SaaS, soluciones API o tecnologías emergentes), incluida la venta a organizaciones del sector público en España Una trayectoria demostrada en la gestión de ciclos de venta complejos en instituciones públicas y en el cierre de acuerdos estratégicos, basada en la comprensión tanto de los requisitos técnicos como de los casos de uso del sector público Un dominio práctico de la contratación pública española: licitaciones, acuerdos marco, centrales de compras y vías de venta a través de partners o revendedores Capacidad demostrada para desenvolverte en las estructuras organizativas del sector público y generar consenso entre interlocutores diversos, entre ellos altos cargos, responsables de transformación digital y tecnología y departamentos de TI Experiencia contrastada superando objetivos de ingresos gracias a una gestión eficaz de un pipeline y un proceso de venta en constante evolución Excelentes habilidades de comunicación y soltura para presentar ante públicos diversos del sector público, desde equipos técnicos hasta altos cargos Un conocimiento profundo de los ciclos de compra, los procesos de decisión y los principales retos del sector público, incluidos los requisitos de soberanía del dato, seguridad y cumplimiento normativo Un enfoque estratégico y analítico del mercado del sector público, combinado con una ejecución táctica y creativa para aprovechar las oportunidades Nivel bilingüe de español e inglés, con una excelente comunicación oral y escrita en ambos idiomas Pasión por los sistemas avanzados de IA y sus aplicaciones, o experiencia con ellos. Te importa de verdad que los sistemas de IA de vanguardia se desarrollen de forma segura y ética para su uso por parte de las instituciones públicas. Se valorará: familiaridad con los marcos de seguridad y cumplimiento normativo aplicables a la contratación de tecnología en el sector público español. 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: Limassol, Cyprus About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, you can grow your sales career with a fun and fast-scaling global business. Part of the DoorDash team, we’re building a global logistics platform that can deliver (almost) everything in your city, to your door in minutes. Today, our products are used by 55+ million registered users who can now order from 200,000+ restaurants and retail stores across 30+ countries around the world. Our Sales teams create and build our relationships with merchants. Together, we’ve helped big brands, local stores and neighborhood restaurants do over €15 billion’s worth of business through our platform. We’re constantly launching new cities and products, so there are always new opportunities to expand your skills and progress your career. We are now looking for an experienced and strategic Account Manager with a true service first and analytical mindset to join our team. This is a varied and challenging role where you’ll build strong relationships with our restaurant partners and help them thrive on Wolt. What you’ll be doing In this role, you’ll take care of your own restaurant portfolio, acting as a trusted partner and advisor while driving performance and growth. Day-to-day in this role you’ll: Manage the overall restaurant relationship post-onboarding. Conduct strong analysis of portfolio performance and frequent quality & satisfaction checks. Contact restaurant partners via phone and other channels. Provide analytical after-sales support to improve partner performance. Build strong client relationships through regular communication. Report on the status of accounts. Promote new services and marketing campaigns to existing partners. Act as a key communicator between operations and restaurant partners. Collaborate with the marketing team to plan and execute campaigns together with partners. Analyze the Cyprus market on an ongoing basis. Monitor competitor activities and report back. Our humble expectations 3 to 5 years of success in account management or B2B sales with clear commercial impact. Strong analytical judgment. Comfortable using dashboards such as Looker and Power BI to turn data into decisions. Excellent relationship building and communication across a wide range of stakeholders. High ownership and reliability. You manage your pipeline, remove blockers, and seek guidance only on new or complex work. Fluent in Greek and English. Advanced Excel or Google Sheets skills. What we offer An opportunity to work in a fast-growing tech company with a startup mindset The chance to make a significant impact on the growth and success of our restaurant partners. A supportive and inclusive team culture that values innovation and continuous improvement. Opportunities for personal and professional development within a global organization. Why you’ll love it 🚀Global and growing fast: Be part of a fast-moving scaleup 🤩Ride of a lifetime: Accelerate your career and build your sales skills 💪Instant impact: Take ownership and make a difference 💙Big hearts and small egos: Surround yourself with smart, friendly people Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going! We will be reviewing applications on an on-going basis. If this sounds like an opportunity you want to pursue, apply today!  💙 Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Anywhere in Belgium Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ YOUR MISSION As we continue to build our Sales team locally, we are looking for several ‘full-stack’ Sales. You can call it Sales, Business development... What is important for us is the mission:  help companies transition to a more personal, proactive and holistic health partner. At Alan, Sales drive deals, manage key customer relationships and help close strategic opportunities with prospects. You are directly responsible for educating prospects, providing inspiring product demonstrations, and onboarding companies’ key stakeholders as you make the transition from prospect to customer.  At the same time, we expect you to understand, embrace and apply the Alan Smart & Soft selling method. This method stems from the concept that the prospect experience is an inseparable piece of the overall Alan customer experience.  You are expected to make this experience pleasant, instructive and delightful by leveraging the most relevant messaging and materials (Smart) and by defining the high-touch strategy that suits best each prospect (Soft).  We also expect you to look at the big picture and help us grow and improve as a company. For that, you’ll have to be real team players even beyond your role. You’ll be expected to challenge us to improve our product(s), our methods and our strategy, and get involved in other projects and initiatives relevant to growing our customer base.  ⭐ SALES TEAM AT ALAN ⭐  Since we opened our Belgium market in 2020, we have experienced great momentum and traction. We’ve onboarded 800+ companies, and delighted 40.000+ members so far. Our local team is growing (so far we went from 0 to 65+ in just over 5 years 🚀). We now want to take the market by storm and exponentially grow the business to ultimately become the market leader by 2030 in Belgium. Our sales team is the engine that drives our B to B customer reach. We want to keep that bar very high by hiring the most exceptional Sales! Being a Sales at Alan means joining a team of talented, committed and passionate sales experts. We move fast, with a lot of ownership, and are proud to tackle big problems!  Do you want to get a glimpse of the team? ⬇️ Watch Arthur's video, or click on Laura’s https://www.youtube.com/watch?v=Ln_ln6Nu6M0 or Amelie's https://www.youtube.com/watch?v=Sdr96aXBTw4&list=PL643LyZcrKMBB6X2XXrif644EaLHygW47&index=7 name to hear their testimonial. ⭐ YOUR PROFILE ⭐  You will be a good fit to join the Sales team at Alan if you:  - Have previous experience in a Sales role  - Have strong written & verbal communication skills - Are fluent in English and French and/or Dutch - Are highly organized with exceptional follow-up skills  - Have empathy and are passionate about understanding and solving prospects' problems  - Ability to manage influence through persuasion, negotiation, and consensus building - Deep understanding of value drivers in recurring revenue business models - A great attitude and ability to collaborate in a small team - Have a desire to learn fast and make an impact from day 1  Everything else is a plus. We care about having a diversity of experiences, profiles and backgrounds in our team.  For this opportunity, we are aiming to hire within the B0-C0 level range https://alan.com/en/careers/a/salary-equity. 🙌   PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.  Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary. - Flexible Office. Amazing office space at our HQ in Paris, sponsored co-working hubs in Ghent, Brussels or Antwerp or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your  time as you  wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. You can use your own inspiration based on the Green mobility budget - Learning & Training opportunities. A highly  flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Are you an ambitious Tax professional with experience in international direct taxation and tax related processes? Does being part of one of Europe’s fastest growing teams sound exciting? If so, then we’re keen to chat! Role Background As we continue to scale, we’re now looking for an experienced Direct Tax Manager to join the team. In this role, you’ll be involved in global corporate tax projects on planning, implementation and tax reporting, ensuring compliance and supporting the organization with these topics. What makes the Finance team so special is our ‘service first’ approach to the job - we enjoy creating strong communication loops with the wider business, so that bottlenecks are minimised and that things get done quickly and efficiently. Everybody is accountable for their own workload and takes pride in being meticulous and precise. We also enjoy learning and developing as we go - it’s important that you share this approach! :) What you’ll be doing Instruct and advise the business and other finance teams on direct tax questions Manage international direct tax compliance and tax reporting processes (CIT, WHT etc.) across Wolt's global entities, in close collaboration with the accounting team Develop and implement tax processes across the organization, driving efficiency in compliance and reporting through testing and using several AI tools Monitor global corporate tax developments and help shape our responses and strategies Provide advice and arrange training on international tax matters Our humble expectations Significant, hands-on experience in corporate income tax processes in relevant international environments Experience with IFRS or US GAAP tax reporting is seen as an advantage Master's degree in Finance, Accounting, Law or similar Strong finance or accounting skills Experience working at a senior level, with the ability to take responsibility, drive initiatives and guide others Curiosity and willingness to develop, test and adopt new ways of working, including AI tools, and to drive efficiency The Wolt usuals: Ability and passion to work autonomously in a fast-moving international environment, strong relationship building and customer service mindset, and a true growth mindset to consistently learn and develop skills. A note on technology Wolt has a separate tax technology team, so you don't need to be a technical person. What matters is that you're willing to develop and test new solutions, work together with the tax technology team, and drive efficiency in how we work. Next Steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! Please submit your application in English . Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

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 A connected Claude is the difference between a general-purpose chatbot and a real coworker. We're building the connected enterprise on three fronts: zero-touch activation, a thriving connector ecosystem, and an enterprise control plane that lets organizations adopt with confidence. We own the path from discovering a connector to using it every day: default and suggested connectors, one-click setup, connector requests, and the identity and admin pieces that remove setup friction for a whole organization at once. You'll be a technical leader who owns activation end to end, from the moment someone sees a connector to their first successful use of it. You'll also help to shape the foundations that help the connector ecosystem grow, and the governance controls that make it safe at enterprise scale. You'll partner closely with product, design and data science, and carry real ownership over what we ship next. What you'll do Own connector activation end to end: measure the funnel from discovery to first use to habit, find the biggest drop-offs, and fix them Build and run experiments on default connectors, in-product suggestions, connector requests and onboarding flows Make setup close to zero-touch, building on open standards like Cross App Access (XAA) and the MCP authorization spec so one approval can turn a connector on for everyone Improve the connectors people reach for most, like Microsoft 365 and Google Workspace, so the first experience works and keeps working Lay platform foundations for the connector ecosystem: reusable building blocks that make every new connector easier to launch, discover and activate Build out the enterprise control plane: admin controls and governance (domain restrictions, labels, permissions) that help security teams say yes faster instead of blocking rollout Partner with product, design, data science and sales to turn usage data and customer feedback into priorities Set technical direction and standards for the team, mentor other engineers, and lead with influence rather than authority Minimum Qualifications Have shipped growth or activation work: onboarding flows, funnels, experimentation, and measuring what actually moves usage Are comfortable with authorization and identity (OAuth 2.0, OIDC, SSO), enough to make setup flows simple without cutting corners Have built on large platform APIs (Microsoft Graph, Google Workspace or similar) and can debug failures on both sides of the boundary Have built platform or ecosystem surfaces that other teams or developers rely on, and care about durable, well-designed APIs Understand what enterprise admins and security teams need from policy, permissions and governance at scale Use data and user research to decide what to build, and can explain the tradeoffs to product and design partners Drive cross-team and cross-company alignment to ship, with influence over authority Preferred Qualifications Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Contributed to or implemented emerging auth standards (IETF OAuth drafts, MCP authorization) Experience with data governance or information protection (sensitivity labels, DLP) Built admin consoles or policy engines for multi-tenant SaaS Run growth experiments on activation funnels Built AI products or agent tool integrations (MCP) Helped grow a developer or partner ecosystem around a platform 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-Friendly, United States 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 compute runs on a growing global portfolio of data centers built with development partners.  As a Senior Field Engineer on the Data Center Design and Engineering team, you will work side by side with developers, general contractors and engineers of record to resolve technical issues on site and speed up construction. You will spend most of your time on active sites, acting as our team's eyes, voice and technical judgment in the field. You will spot problems first, get the right people moving, and stay with each issue until it is closed. You don't need a data center background. We care more about whether you have delivered complex industrial projects from the field and can get contractors and partners to act when you have no formal authority over them. What you'll do Be our engineering presence on site. You will walk installed work against the approved design and build working relationships with developers, general contractors, engineers of record, vendors and commissioning teams. You will hold design acceptance on our team's behalf, deciding whether installed work meets the design. When field conditions and drawings disagree, you will be the first call. You will settle what you can on the spot and bring in the right discipline engineer for the rest. More than 50% of your working time will be at project sites, often with overnight travel across multiple sites. The rest will be remote from your home base. Get issues closed. You will keep one prioritized list of open engineering issues for your sites, each with an owner and a date. You will follow up in person, challenge dates that don't hold up, and escalate early with a clear recommendation when something is stuck. Find out why things fail. When equipment, an installation or a test fails, you will gather the evidence, test the first explanation, and trace the failure to its underlying cause. You will confirm that the fix works and check whether other sites carry the same risk. Clear the path to commissioning and handover. You will check the interfaces between power, cooling, controls and structure before they surface as test failures. You will drive RFIs, deviations and field changes to decisions, so that open engineering questions don't hold up the crews. Bring the field back into the design. You will turn recurring site problems into changes to our designs, standards and audit checklists. Each project should make the next one easier to deliver. What this role is not You won't manage construction crews or direct contractors' means and methods; those stay with our construction delivery partners. You will work with our discipline engineers and hold the field view, rather than produce design documents. You may be a good fit if you Have spent years on active project sites in energy, power, heavy industrial, data center or similar environments, as an engineer, project manager, or construction or commissioning lead Can read drawings, single-line diagrams, P&IDs, specifications and schedules well enough to see where they disagree with what's been installed Can give specific examples of persuading contractors, vendors or partners who didn't report to you to change course Hold your position under pressure, back it with evidence, deliver bad news early, and change your mind when the facts change Have led structured failure investigations, using a method such as 5 Whys or 8D, and seen the corrective actions through Write short, factual reports that a busy reader can act on Treat safety as your own job, and will stop work that isn't safe Have a degree in engineering, construction management or a related field, or equivalent practical experience Strong candidates may also have Experience as an owner's representative overseeing an EPC or general contractor Commissioning, startup or system turnover experience Worked in LNG, refining, offshore, power generation, semiconductor or naval environments An electrical, mechanical or civil, structural and architectural (CSA) engineering background A PE license, PMP or OSHA 30 certification Familiarity with tools such as Procore or Primavera P6 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 — $405,000 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-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows 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: 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 The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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 — £375,000 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 The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: $350,000 — $500,000 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: hybrid Senior Delivery Lead - Singapore We are looking for an ambitious, experienced Senior Delivery Lead to join our team. At Sokin, we are building a world-class delivery enablement team that can help our teams remove the borders, barriers and burdens from global business. Delivery Enablement at Sokin is all about striving for best-in-class performance of our teams, providing the right people, tools and processes that allow them to deliver products that drive real value for our customers and the business. This is an opportunity for someone who wants to be part of something challenging and transformative and who will play a critical role in coaching and supporting our incredible teams into the next phase of their journey and beyond. About us: Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow. We deliver services across: • Global payments and receivables • Foreign Exchange (FX) • Treasury management • Finance reconciliations We are rapidly expanding, with established presence in EMEA, APAC, and North America, backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments. The Role In this role, you will work closely with Product Managers and delivery teams to understand their individual ways of working, including Agile maturity, challenges, and opportunities for improvement. Partnering with the Head of Delivery, you will help shape and advocate for the Delivery Framework, define and track north star metrics, and provide coaching, mentoring, and guidance to support teams in achieving their goals. You will proactively identify and remove impediments to fast, high-quality, high-value delivery, collaborating both within Product Engineering and across wider stakeholder groups such as Operations. Where required, you will also take direct ownership and leadership of business‑critical delivery initiatives. Requirements · Experience in payments or fintech, particularly at a company that has run multi-market licensing · You have a deep understanding of Agile methodologies, frameworks and principles, but most importantly, are able to flexibly adapt these to individual teams and real-world challenges · You are an excellent communicator with the ability to engage and inspire from individuals with varied roles, backgrounds and seniority levels · You are experienced in leading and implementing change from both a human and process standpoint, with a wide toolbox of resources to influence and coach effectively · You have experience leading complex, critical business-impacting projects across multiple teams, able to lead these projects with clarity, calmness and effective stakeholder and team management · You are an excellent facilitator, confident in leading effective meetings and workshops · You’re able to identify and analyse trends, impediments and opportunities at both a team and company level, developing potential solutions to support continuous improvement · You are extremely effective at building relationships and promoting team culture, with the ability to drop into and back out of teams as you coach them through individual challenges and opportunities · You will have, and promote, a mindset for continuous learning and experimentation to effectively influence change across the business · You are organised and methodical, able to confidently prioritise your workload and understand where to add value Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in. Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment 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. About this role GiveDirectly gives cash directly to people living in poverty and in emergencies. Both depend on the same question: did this person live in this place, at this time? We ask it when we target the poorest households, and when a disaster displaces a community overnight. Location records held by Mobile Network Operators (MNO) can help us estimate an answer to this question at scale. We work with MNOs so they can infer, from their own records, whether a subscriber was resident in a target area over a defined period. Robust residence location inference from MNO data requires in-depth analytical work, and the methods we design have to run on an operator's systems - most often implemented by their engineers - under strict data protection and confidentiality rules. We are hiring a Senior Data Scientist to progress our work on location inference from MNO data, and to make it repeatable. Your job is to improve and extend our library of method templates, adapt them to each new operator and setting, and design new elements when an intervention requires it. You'll assess what can be inferred from a given operator's data, specify the analysis clearly enough for their data engineers to implement, then test it with them remotely or on site. You'll support introductory meetings with MNOs, describing methodologies at a high level, and inform the work of data privacy and cybersecurity teams to ensure only necessary data are shared securely. You'll also help colleagues across GiveDirectly understand the strengths and limitations of this data source, so we design programs around questions it can best answer. This work is live in several countries, and we're expanding it across the countries where we have offices and to low- and middle-income countries anywhere in the world when a crisis hits. Reports to: Senior Product Manager - MNO data Level : Senior Manager Location: At this stage of GiveDirectly’s growth and scale, we’re prioritizing hiring in the countries below, where we can employ you through a GD entity or an established employer of record: Cameroon, Canada, Colombia, DRC, Germany, Ghana, Kenya, Malawi, Mozambique, Netherlands, Nigeria, Poland, Portugal, Rwanda, South Africa, Spain, Turkey, Uganda, United Kingdom, and United States. This list reflects where our employment infrastructure is established today, and may evolve as we grow. If you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back. Please note that we are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. Travel Requirement: Substantial international travel, roughly 25 to 50% of your time depending on emergencies, sometimes at short notice - for workshops with operators to support programs and emergency responses. What you’ll do: Improve and extend our library of analytical method templates for establishing where people live from MNO data, and depending on circumstances, for detecting displacement or estimating poverty. Design novel methods when an intervention requires it. Support colleagues in technical conversations with operators, bringing clarity on the data we need and why, and steering discussions toward technical designs that make the analysis workable. Assess the information that can be inferred from each operator's data given data types and sparsity, and for each geography and targeted area. Support intervention design to account for data quality. Write tests and method specifications for MNO data engineers to implement: steps, parameters, pseudocode, validation criteria. Guide operator engineering teams through implementation, in writing and in person. Adapt methods to accommodate large data volume and computational constraints, balancing accuracy and operational needs. Run in-country workshops with operators to support the set-up of new analyses and - where feasible - tune parameters based on statistical tests and distributions. Feed every new analytical and implementation element back into standard templates, so the next country or intervention starts from a better position than the last. Design for privacy from the start, so that as little data as possible has to be shared: aggregation, minimization, and where useful, privacy-enhancing technologies such as private set intersection or homomorphic encryption. Protect the confidentiality of what operators share with us and improve internal data security processes and tools as we grow. Build internal training material so that our technical and non-technical teams understand the strengths and limits of this data, and design interventions accordingly. 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. Strong mathematical modeling, machine learning and statistics. You choose methods for the question rather than for their sophistication, and you value being able to explain a result over squeezing out the last point of performance. Deep comfort with spatio-temporal data: temporal filtering, GIS, probability distributions, combinatorial reasoning, and working with sparse, irregular observations. Direct experience with Call Detail Records (CDRs) or latching data is a strong plus. Comparable experience with mobility, transport, sensor or remote-sensing data counts. The ability to reason without ground truth. Much of this work has no validated answer to check against, and you're comfortable setting parameters by reading the shape of the data and defending that choice. Pragmatism about the trade-off between accuracy and implementability. You've deliberately simplified a method to fit an operational constraint, and you can say what it cost you. Excellent communication and relationship-building skills. You can explain a method and its limitations to an operator's engineers, to their data protection officer, to their leadership and to colleagues with or without technical background. You write well and are comfortable presenting to these multiple audiences. You build trust with counterparts you don’t manage, and they want to work with you again. Experience writing technical specifications that other teams implemented, clear enough that people you don't manage could follow them correctly. Able to read and review SQL and Python written by others, and to find the logical error in someone else's query. Writing production-quality code yourself is welcome but not required. Enough understanding of large data volumes and databases to judge when analytical simplification is required. Commitment to privacy by design as a foundational value and starting point rather than a compliance step: designing analyses so that less personal data has to be shared. Familiarity with privacy-enhancing technologies for shared computation (private set intersection, secure multi-party computation, homomorphic encryption) is a strong plus. Commitment to confidentiality. You've handled a partner's commercially sensitive data and can describe the habits you built around it, not just the clause you signed. Experience designing training material that changed how non-specialist colleagues used a data source. Comfort in fast-moving contexts where the brief may often shift, and where your technical expertise and understanding may not be shared by other stakeholders. Additional desirable experience may include: poverty modeling; familiarity with survey data and survey instruments; experience inside a mobile network operator or working closely with one; open-source contributions in the mobility estimation space. Comfortable with travel to fragile and post-disaster contexts. Language Requirement: English. Language Preferences: French, Portuguese, Swahili or Spanish. 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. United State Base Salary: $107,070 Bonus at Target Performance: 10% Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £70,250 Bonus at Target Performance: 10% Annual Benefits Stipend: £2,760 Kenya Base Salary: $ 72,550 Bonus at Target Performance: 10% Annual Benefits Stipend: $8,454 This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. #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 !