Вакансии

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native or C1 German speaker with fluent English proficiency Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: Georgia; Kazakhstan Workplace: Remote Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from top-tier investors. Here, you get real ownership from day one, high standards, and direct communication. You'll work alongside a team that combines deep local knowledge and experience scaling regulated financial companies from scratch. If you want to solve complex problems at scale and directly impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. ABOUT THE ROLE You'll build and own Salmon's Frontline Employees Database — the internal system that runs HR and operational processes for around 4,000 frontline employees. WHAT YOU'LL DO - Start with Frontline DB, which brings together employee and candidate profiles, access and account data, time-off information, shift planning, and selected operational results — with a backlog of initiatives across development, integrations, data mapping, documentation, and process improvement. - Own solutions end to end: dig into the business need, clarify requirements with stakeholders, propose a practical approach, and turn it into a working MVP. - Work directly with HR, Operations, People Partners, and Support, and over time extend scope into integrations with HiBob, Ashby, and other internal systems. WHAT YOU'LL OWN - Develop and improve PostgreSQL data structures for custom internal solutions. - Design, build, and maintain automation and integration workflows in n8n. - Build internal applications, forms, and user interfaces in Retool. - Integrate HR and enterprise systems through REST APIs, webhooks, and other integration methods, with custom logic in Python and/or JavaScript. - Test, troubleshoot, document, and maintain what you build — and handle internal support requests for existing tools and workflows (about 20% of the role). - Grow MVP solutions into reliable internal products as processes and needs evolve. WHAT MAKES YOU A STRONG FIT - Confident SQL skills and experience with relational databases — you can query, validate, and interpret data independently. - Hands-on experience with n8n, Make, or another low-code automation platform. - Experience with Retool or another platform for building internal applications and forms. - Working knowledge of Python and/or JavaScript for scripting and automation. - Understanding of REST APIs, webhooks, and common integration patterns, plus a basic grasp of testing, debugging, and error handling. - A proactive working style — you read incomplete requirements, make reasonable technical decisions independently, and know when to escalate — with good English for working with international stakeholders. WHAT WE OFFER Build what's next in Southeast Asian fintech. OWNERSHIP AND FLEXIBILITY - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8) - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene HEALTH AND TIME OFF - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity and paternity leave for employees relocating to Manila RELOCATION AND FAMILY SUPPORT - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 GROWTH AND TEAM EXPERIENCE - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia Considering a move to Manila? See what life with Salmon looks like https://www.youtube.com/watch?v=nYQLKhuZHIE&t=34s

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 The Corporate Network Engineering team owns Anthropic's corporate network: the wired, wireless, and edge infrastructure in our offices and research facilities around the world, and the standards, management systems, and telemetry that let a small team run them. We hold that network to the bar of a production service — designed for failure, managed as code, observable end-to-end, and secure by default — while delivering reliable connectivity to the people who depend on it every day. You'll set the technical direction together with your engineers and own the final decision on it and on the architecture standards, review and guide designs and the hard trade-offs, and lead vendor and platform decisions. You'll lead and grow a small team of network engineers: set priorities, drive decisions to closure, hire, and develop people. The team is small and the scope is broad, so this role needs real depth in campus and edge networking, judgment about what to standardize, automate, buy, and build, and the range to go from a wiring-closet decision to a budget defense in the same afternoon. You'll report to the head of IT Engineering and partner closely with our Buildouts, AV, and Endpoint teams; with Security Engineering on network security, authentication, and detections; with Physical Security, whose systems are critical for protecting Anthropic employees and depend on a reliable network; with Workplace, Real Estate, Procurement, and external logistics and integration partners on new site buildouts; and with our production networking teams, whose bar for reliability and automation is the one we hold ourselves to. Your work will directly shape how we scale to AI Safety Level 4 and beyond. Responsibilities Lead and grow the Corporate Network Engineering team — hiring, development, performance, planning, and prioritization Set technical direction with the team and own the final call on architecture standards across edge, campus switching, wireless, segmentation, out-of-band management, and telemetry; review designs and risky changes, and step in on the hard problems Own reliability and operations: monitoring people act on, incident response and post-incident reviews that produce changes, an on-call and escalation model a small team can sustain, change safety, and lifecycle currency Move the fleet toward network-as-code: templated configuration with change control, staged rollouts, drift detection, and automation that removes operational toil Partner with Security Engineering and Detection & Response on network authentication, segmentation, and the network as a detection source Deliver networks for new offices and research facilities and upgrade existing sites through live migrations — with Buildouts, AV, Physical Security, Workplace, Real Estate, and our logistics partners — while keeping interruptions to employees minimal Own vendor, carrier, and integrator relationships and the network hardware budget: evaluations, contracts, lead times, and multi-year refresh You may be a good fit if you Have 10+ years designing, building, and operating enterprise campus and edge networks, including at least one environment with dozens of sites across regions Have 5+ years leading engineers, including at least 3 years as a people manager Lead through technical judgment: whether or not you've been hands-on-keyboard lately, you can go from architecture to protocol behavior to failure modes with your engineers, and your reviews make their designs better Default to the secure design, then do the creative work to make it painless for the people using it — and can walk an executive or an engineer through the trade-off and make a recommendation Have run the operational side, not just designed it: out-of-band access, monitoring people act on, an on-call model a small team can sustain, and change safety Are pragmatic about what to build, buy, or automate, have run vendor evaluations with real money at stake, and chase problems across organizational boundaries to the actual root cause Communicate clearly with engineers, executives, contractors, and landlords, and can bring a room of senior engineers with strong opinions to a decision they'll commit to Want real technical ownership with a small team — including if you've led a larger organization before — and care about building infrastructure for an organization trying to get AI right Strong candidates may also Have led corporate networking at a company that added offices faster than it added network engineers Have implemented certificate-based network authentication (802.1X/EAP-TLS or equivalent) and identity- or device-based segmentation at scale Have shipped network configuration as code and built telemetry pipelines that security and support teams actually use Have designed dense wireless for large event spaces and high-occupancy floors Have been through multiple office builds with real estate and construction teams — including networks that physical security systems depend on — and know what to ask for before the walls close Have managed integrators, MSPs, or smart-hands providers as an extension of a small team while keeping design authority in-house Technical Skills We're looking for deep, hands-on experience in each of these — not surface familiarity: Enterprise edge: firewalls and routing (HA design, routing protocols, policy management across a fleet) Campus switching and high-density enterprise wireless (L2/L3 design, redundancy, RF design, 6 GHz, high-density venues) Segmentation and access control (certificate-based 802.1X, dynamic segmentation, guest and IoT isolation) Out-of-band management and secure, auditable administrative access Network automation and configuration as code (Python, templating, vendor APIs, source control, CI) Network observability (streaming telemetry, flow and log pipelines) Physical infrastructure for buildouts (MDF/IDF design, structured cabling, power and cooling, carrier and path diversity) Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA 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 Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking research scientists with deep expertise in experimental chemistry to join the team. We welcome chemists from across the field, including medicinal, synthetic organic, physical organic, organometallic, inorganic, analytical, physical, and materials chemistry, as well as formulation science. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in your area of chemistry with hands-on experience designing, and running experiments, from synthesizing, purifying, and characterizing compounds to studying reaction mechanisms and kinetics. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive experimental programs end to end and pressure-test AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties against real chemistry. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Depending on your area of chemistry, you will: Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC) Design and run mechanistic, kinetic, and spectroscopic studies to explain and predict reactivity, selectivity, and molecular properties Prepare and characterize inorganic and organometallic compounds, materials, and formulations, and relate their composition and structure to their properties Coordinate synthesis and biological evaluation with external contract research organizations and academic partners Evaluate AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties, drive them to experimental readout, and feed results back to research teams Generate experimental and computational data, for example from quantum mechanical calculations, that research teams use to train and evaluate AI models Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry Demonstrated depth in your area of experimental chemistry (for medicinal chemists, SAR-driven design and optimization of small molecules,), with recent, sustained hands-on laboratory work Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications 5+ years of experience in your area of chemistry beyond the PhD For medicinal chemists, a track record of advancing programs from hit identification through lead optimization Experience directing chemistry activities at contract research organizations Computational chemistry, cheminformatics, or coding skills, for example quantum mechanical calculations (DFT) or Python with RDKit or pandas for data analysis and automation Experience using AI or ML tools in chemistry or the life sciences Publications and/or patents demonstrating scientific impact 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: 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 Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline, offline monitoring for review, and the underlying systems powering it all. Operating at scale and velocity, we continuously adapt to technology whose capabilities and risks evolve weekly. The Safeguards Data team owns the data lifecycle for Safeguards—routing user data and safety metadata from online systems into offline storage and enabling access for downstream teams. Our goal is to provide privacy-safe access to sensitive data for approved uses while ensuring performance, reliability, and minimal blast radius. We prioritize security by design, embedding controls directly into systems operating across AWS, GCP, Azure, and customer-managed environments. This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory. Key responsibilities Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from. Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage. Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments. Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization. Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead. Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews. Minimum qualifications Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start Have a track record of building platforms or internal tooling that other teams widely adopt Have led the technical design of projects that span several engineers or teams Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners Preferred qualifications Proficiency in one or more systems languages (e.g., C, C++, Rust, Go) 8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation Experience with data governance requirements in a regulated or high-sensitivity domain Fluency with agentic coding tools such as Claude Code 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 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | 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 consulting and systems integration partners now sell and deliver Claude work at growing volume, and selling alongside partners is working. What matters next is delivery: whether the partner completes the work, whether the customer's Claude usage grows and holds, and whether the outcome is good enough that the customer asks for that partner again. The Partner Success Lead owns that outcome. You will hold a book of in-flight customer engagements across a set of managed partners in North America. From the day our Partner Delivery program matches a customer engagement to a partner in your book, you own it to a completed outcome: the work finishes on scope, the customer's Claude usage grows, and a stalled engagement gets diagnosed and unblocked before the customer disengages. You wake up every day on one question: what is each partner in my book doing, and is the work getting done. Key responsibilities: Own every customer engagement in your book from partner match to completed outcome. Know the state of each one every week: scope, timeline, blockers, and the customer's Claude usage trend. Run the weekly delivery review across your book, and bring stalled or at-risk engagements to the weekly at-risk account review with a diagnosis, an owner, and a specific ask rather than a status list. Unblocking. Partner capacity, scope creep, customer readiness, product questions, deal-registration conflicts, and customer dissatisfaction with partner work: get each issue to the right internal team and stay on it through resolution. Own delivery quality and consumption across your book. Track engagements completed on time, time from match to completion, delivered consumption and weekly active use on the customer accounts your partners serve, and the accounts trending toward at-risk. Build senior relationships with each managed partner's practice and delivery leadership. Together with the Partner Account Manager and other Anthropic counterparts, establish the executive-level trust that lets you ask a partner to restaff, escalate, or invest — and be taken seriously — when an engagement needs it. Build each partner's Claude practice as the compounding work: certified bench depth, one repeatable offering in a chosen industry lane, and a published customer story from each completed engagement, so the next engagement needs less from you. Turn what works into methodology. Convert the moves you prove in your book into named, reusable best practices — engagement review packs, unblocking plays, practice-building guides — written clearly enough to be shared at scale across partners, the Partner Success team, and the contract delivery team running the same loop. Run the quarterly practice review with each managed partner's alliance and delivery leads: joint goals on completed customer engagements, customer adoption, certified practitioners, references, and industry positioning. Present and persuade across audiences. Deliver partner executive briefings, practitioner enablement sessions, and internal reviews with equal command — this role is regularly the voice of Partner Success in front of a partner's leadership, a delivery team, a customer, or Anthropic's own leadership. Steward funding requests from partners in your book. Recommend for or against co-investment and program funding requests against a stated outcome, and reconcile against milestones. The bar is outcomes, not consultant hours. Work the handoffs cleanly: from Partner Sales when a partner deal closes, and from the Partner Delivery program when an engagement is matched to a partner in your book. Coordinate with the Partner Account Manager on any strategic partner that has one, with Customer Success Managers on customer-side account health, and with Anthropic's direct sales field on joint accounts. Instrument your book and know its numbers: engagements in flight and completed, stall rate and days to unblock, delivered consumption per partner, certified practitioner counts, and partner health trajectory. Run your book Claude-first. Telemetry drafts the diagnosis; you validate it and act. Claude drafts your review packs, status notes, and escalation briefs; you own the judgment, the exceptions, and the unblocking. Feed what you see in the field back into the packages, playbooks, tier rules, and health rubric the team runs on. Minimum qualifications: Experience owning a high-volume book of concurrent customer engagements, projects, or accounts (roughly 10 to 30 at a time) to completed outcomes, in a partner success, customer success, delivery management, or technical account management role. Ability and appetite to build structure, clarity, and programmatic motions out of in-flight work, while delivering engagement by engagement. You have written something down — a review format, a checklist, a play — that others ran without you, and you want to do more of that; growing that into the operating playbook a wider team runs is the senior end of this role, not the entry bar. This role scales by what you write down, not by added hours. Track record of a number tied to completed work and customer behavior (on-time delivery, adoption, retention, consumption, expansion) rather than contract signature, and an operating rhythm you built to hit it. Judgment on delivery quality: you can review a partner's engagement plan or scope and tell whether it will finish on time and produce usage, and you ask the follow-up question that surfaces the real risk. Escalation and unblocking judgment across a matrix (partner, customer, direct sales, customer success, product): you know which stall belongs to whom, you get help fast, and you stay engaged to resolution. A convincing speaker and presenter to all kinds of audiences: partner executives, delivery practitioners, customers, and internal leadership. You can carry a quarterly practice review, an enablement session, and an executive escalation in the same week and land each one. Deep understanding of how customer success works in a usage-based business; you have held a number tied to customer behavior and can read a consumption trend and act on it. Enough technical fluency to be credible in a delivery review. You do not need to write code, but you can follow a partner architect's walkthrough of a real Claude engagement and ask the substantive second question. Active daily use of Claude or another large language model as part of how you work: preparing reviews, drafting account plans, and analyzing your book. We will ask you to walk us through a recent deliverable. Preferred qualifications: 5 to 8 years working with consulting and systems integration partners, or in delivery-facing customer success at a software company, cloud platform, or partner-led business. Direct experience with systems integrators (global firms such as Accenture, Deloitte, Capgemini, Infosys, TCS, or Wipro, or regional and boutique firms) and an understanding of how their delivery practices are staffed and run. Experience running at-risk or red account reviews and turning stalled work around. Experience anchoring a surge team: setting the playbook and the review pack that a group of contract or offshore delivery coordinators ran, and holding the quality bar across them. Depth in a specific industry vertical (financial services, healthcare, public sector, retail, or manufacturing) where you have carried a book of partners or customers. Experience stewarding co-investment funding or market development funding against specific outcomes, with formed opinions about what works and what does not. Experience running quarterly business reviews with consulting firm practice leads, and a sense of what makes them productive rather than ceremonial. Experience on a new team where the operating model was being written while you ran the book, and you shipped both. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $215,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Head of Technology Partnerships, you will make Claude's ecosystem of technology partners a primary engine of distribution, customer retention, and product innovation. This is a senior leadership role with no inherited playbook. You are a high agency leader and have a track record of building new functions and capabilities. You will set the strategic technology partner strategy, hold the senior relationships with partner executives, drive high-stakes strategic partnerships, build and scale joint businesses, manage technology partner leads, and drive business impact. You are highly commercial and fluent with technical capabilities. You will collaborate with Sales, Business Development, Product, Applied AI, Partner Programs, and Partner Marketing. Key responsibilities Set Anthropic's technology partner strategy: priority partners, investment levels, and business goals across strategic partners. Hold the executive relationships with our most strategic technology partners, establish joint business plans, and lead the highest-impact partnerships Define the "better together" story with each strategic partner, including the products, use cases, and industries we will take to market together, the ones we will not, and how we handle overlap between our products and theirs. Create repeatable co-build, co-sell, co-market, and marketplace motions. Shape partnership structures with Business Development and account teams across product integration, commercial terms, distribution, and joint go-to-market, then take accountability for outcomes once agreements are signed Represent technology partners inside Anthropic: shape product requirements for connectors, plugins, and Marketplace, and influence developer experience, partner economics, and program design. Build the measurement system for evaluating partner health and business impact. Minimum qualifications Have built and led a technology partnerships, alliances, or strategic partnerships function, including hiring and managing partner leads and owning the organization's revenue or consumption target Have personally led strategic partnerships with large enterprise software companies at the executive level Have delivered on complex partnerships that combine product integration, commercial terms, distribution, and joint go-to-market, working alongside legal, finance, and product Understand AI platforms, SaaS and consumption business models, cloud marketplaces, and enterprise go-to-market well enough to design a joint solution with a partner's product and field leaders, and to explain how Claude is embedded in and consumed through a partner's product Have credibility with partner C-level executives and with internal product, engineering, sales, finance, legal, and marketing leaders, and lead through influence in a matrix where account executives own the customer relationship Care about the safe and beneficial development of AI, and want the partnerships you run to reflect that Preferred qualifications Experience standing up an ecosystem business or partner function from scratch at a high-growth company and scaling it from first hires to a multi-team organization Experience leading partnerships, marketplace, or ecosystem with enterprise SaaS, data platform, or cybersecurity companies Experience building industry-specific or use-case-specific go-to-market plays with a partner and taking them to production at joint customers Working familiarity with how AI applications and agents are built on model APIs, agent SDKs, and the Model Context Protocol 12+ years in technology partnerships, business development, platform ecosystems, or enterprise software, including several leading teams 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: $365,000 — $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across key industry verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across key industry verticals. The ideal candidate will have a passion for developing industry-specific market segments, pinpointing high-potential opportunities within key industry verticals, 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 within a book of strategic industry accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases within key industry verticals Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives across industry enterprises Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your industry accounts' landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead expansion by pinpointing new use cases and business units within key industry verticals. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic industry accounts Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solutions Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify a robust set of business drivers behind all opportunities Inform product roadmaps and features by gathering customer feedback and conveying key industry market needs. Provide insights that strengthen our value proposition and enhance the customer experience within industry verticals Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency across key industry verticals You may be a good fit if you: 10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders across key industry verticals Experience selling emerging technologies or complex solutions to large industry enterprises. Ability to navigate technical evaluations and translate complex capabilities into business value for industry-specific use cases Strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives within key industry verticals Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups in industry environments Consultative sales approach with a focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor within key industry verticals Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions High level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously Passion for AI and emerging technologies with enthusiasm for helping industry organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 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: Budapest, Hungary 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. As our new Account Manager you’ll be trusted with a portfolio of nationally recognized brands, each with ambitious goals, multi-layered decision-making structures, and large operational footprints. You’ll be responsible for unlocking their full potential on Wolt by building strong relationships, running sophisticated campaigns, and making data-driven decisions that drive both growth and profitability. What you’ll be doing As an Account Manager, you’ll be the primary point of contact for a number of large enterprise accounts. You’ll work across multiple layers of each organisation – from central decision-makers to regional managers and local stores – with a focus on long-term growth and operational excellence. You’ll plan and execute advanced promotional campaigns, lead commercial negotiations, and use data to optimize every aspect of partner performance. In addition to managing your portfolio, you’ll help shape internal tooling and best practices that support the broader enterprise AM community. Day-to-day in this role you’ll: Own a portfolio of restaurant accounts end-to-end Lead negotiations and strategic planning in collaboration with senior internal and external stakeholders Drive adoption of relevant Wolt products such as Wolt+, Wolt Ads, Wolt Drive, and Wolt Capital Analyse partner performance in depth – from conversion rates to delivery efficiency – and turn insights into concrete actions Collaborate cross-functionally with teams like Marketing, Operations, Analytics, and Product to ensure smooth execution of partner plans and bring feedback from the field into internal roadmaps Build tools, frameworks, or workflows that support smarter decision-making within your team and across the region Tailor your approach to different organisational layers, from headquarters to local store operators Our humble expectations We’re looking for someone who combines commercial sharpness, analytical depth, and strong interpersonal skills – and who’s motivated by solving complex challenges. Strategic commercial thinking – You understand what drives partner performance and profitability, and you can develop win-win plans that balance long-term growth with short-term impact Advanced analytical skills – You’re highly comfortable navigating BI tools like Looker or Excel, building your own performance views, and using data to guide negotiations, campaigns, and optimisations Ownership mindset – You take full responsibility for your portfolio, push projects forward without being asked, and proactively solve problems when roadblocks appear Process builder – You enjoy improving how things work – whether through creating internal tooling, building a new report, or refining the way we engage with partners Experience – You likely have 4+ years in account management, strategy, consulting, or commercial roles with enterprise exposure Languages – You’re fluent in Hungarian and English, both written and spoken What we offer At Wolt, we believe great people thrive when given ownership, trust, and the chance to make an impact. As an Account Manager, you’ll get exactly that – along with a competitive salary and the opportunity to grow in a fast-moving global tech company with plenty of career paths. On top of that, you’ll get a competitive salary, Wolt discounts, daily lunch, and a well-stocked office with coffee, soft drinks, and fruit – plus a range of local benefits. 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: Espoo Workplace: OnSite Role highlights: - Location: Espoo, Finland - Department: Global Manufacturing Organization - Reports to: Manager, Logistics Management - Employment type: Permanent - Workplace model: On-site (Cleanroom) - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As an Electronics Verification Technician, you are a critical part of the highly international manufacturing team specifically responsible for ensuring every PCBA functions flawlessly before assembly. Reporting to the Electronics Verification Team Lead, embedded within the Logistics and QC Department, you will work in a clean area with ESD sensitive devices and classified information, operating test stations, high precision equipment, verifying electronic board assemblies, performing visual inspections, troubleshooting failed tests and providing immediate feedback to prevent defects from moving down the assembly line. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1,000 employees across Poland, Spain, Germany, the UK, Australia, Japan, the UAE, Greece, and the US. Read more about our latest financial results and growth https://www.iceye.com/newsroom/press-releases/scaling-sovereign-intelligence-from-space-iceye-announces-2025-financials-250m-revenue-100m-profitability-and-1.5b-backlog?hs_preview=VihREVTI-209111858013&hsLang=en. Your day-to-day responsibilities - Conduct visual inspections, electrical verifications, and basic mechanical tests as well as quality checks during incoming operations of electronic parts, mechanical parts, commercial off-the-shelf (COTS) items, and subsystems to ensure compliance with specifications; - Update material status in the ERP and MES system, Record inspection results and maintain accurate, audit-ready, documentation; - Report non-conformances, support root cause analysis activities, contribute to the implementation of corrective and preventive actions across production and the supply chain, communicate persistent assembly errors to the production lead; - Perform real-time visual and mechanical inspection of SMT and Through-Hole assemblies to IPC-A-610 and J-STD-001 standards. - Flash firmware and bootloaders onto microcontrollers, troubleshoot test failures in real-time, identifying whether the issue is a component failure, soldering defect, or test fixture error. - Occasionally perform minor rework on non-conforming boards to keep production flowing. - Ensure inspection tools and equipment are properly calibrated and maintained; - Monitor inspection, logistics, production, storage, and laboratory environments to ensure compliance with safety and quality standards to support consistent manufacturing operations. What we’re looking for Must haves: - Strong background in Electronics, Mechatronics, Testing, or related fields, with computer literacy in Jira, Confluence, MES Systems, Linux, and with programming knowledge in Python, CSV, Bash, etc. - Direct hands-on experience in the use of complex electronic measurement tools, oscilloscopes, multimeters, bench power supplies, VNA, test jigs, etc. - Conversational level of spoken and written English. - Degree, diploma or applicable certifications: Master of Science in Engineering (MSc) recently graduated, Engineer, Advanced university student, Bachelor with a minimum of 2 years of experience in similar environments, or 5 years of proven enthusiastic experience, IPC-A-600, IPC-A-610, J-STD-001, ESA/ECSS. - Experience with basic hand-soldering rework tools. - Ability to coach peers constructively on the production floor. Nice to haves: - Knowledge of industrial practices, non-conformance reporting, root cause analysis, calibration requirements, ESD, manufacturing workflows, . - Strong ability to read PCB assembly drawings, Bill of Materials (BOMs), schematics and trace circuits to find shorts or open connections and defect recognition (polarity, bridging, cold joints, missing components). - Experience in mechanical inspection of individual parts and assemblies. - Exposure to Assembly, Integration and Tests environments of Satellite Hardware. Application Process - Recruiter call - Hiring Manager interview - Technical task - Team interview - Final interview Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and work with us at iceye.com http://iceye.com.

Location: Kazakhstan; Kyrgyzstan; Uzbekistan Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role You'll build and own the data pipelines and lakehouse architecture that turn raw data into reliable inputs powering products used by millions of people. What you'll do - Design and run batch and streaming pipelines on Databricks and Apache Spark over AWS, ingesting from databases, APIs, and event streams. - Shape our lakehouse architecture on S3 and Delta Lake, including medallion (Bronze / Silver / Gold) layering and storage optimization. - Work directly with analytics, engineering, and product teams to turn raw data into reliable, usable inputs for the business. What you'll own - Own projects end to end — from stakeholder alignment and design review through implementation, launch, and ongoing support. - Build self-service data solutions that let other teams deliver their own data needs, designed to scale and extend easily as new sources and use cases are added. - Build and maintain scalable ETL/ELT pipelines that are fault-tolerant and cost-optimized. - Optimize Spark jobs end to end — cluster sizing, caching, joins, shuffles, partitioning, and storage formats (Parquet, Delta). - Manage Databricks Workflows, jobs, cluster configurations, and the underlying infrastructure — security policies, resources, and access — responding to failures and performance issues. - Implement data governance and access control with Unity Catalog across accounts and environments, including handling of PII. What makes you a strong fit - Hands-on experience with Databricks and strong proficiency in Apache Spark (PySpark and/or Scala). - Strong Python for data engineering, plus SQL and Spark SQL for transformation and analytics. - Experience with Delta Lake and lakehouse architectures, including performance optimization. - Proven ownership — you've run projects where you knew the weak points, gathered feedback, and made your solutions easy to scale and maintain. - Experience writing clean, testable, maintainable code with Git-based version control. - Experience with infrastructure-as-code such as Terraform or Ansible is a plus — not required, and easy to pick up on the job. What we offer Build what's next in Southeast Asian fintech. Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8) - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila Relocation and family support - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - US$2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: US$1,000 per month for each child under two and US$500 per month for each child aged two to 18 Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia Considering a move to Manila? See what life with Salmon looks like https://www.youtube.com/watch?v=nYQLKhuZHIE&t=34s

Location: Lisbon Workplace: Hybrid Role Highlights: - Title: Production Team Lead - Department: Global Manufacturing Organization - Reports to: Head of MAITE, Optics - Location: Lisbon, Portugal - Type of Contract: Permanent - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: ICEYE is seeking a Production Team Lead to lead the day-to-day execution of Manufacturing, Assembly, Integration and Testing activities, including spacecraft assembly and the integration of optical payloads. This is an operational leadership role in an early-stage production environment, where production processes, teams, and operating routines are being established and scaled. You will be responsible for translating production plans and engineering requirements into safe, high-quality, efficient, and predictable MAIT execution. This includes managing daily priorities, resources, production flow, readiness, schedule adherence, quality, productivity, and escalation of issues. You will establish and maintain a structured production management system based on clear priorities, visual management, daily performance reviews, standard work, and continuous improvement, with a strong focus on safety, quality, delivery, and operational efficiency. The role requires a strong presence on the production floor and in cleanroom environments, working closely with AIT Engineering, Quality, Planning, Logistics, Manufacturing Engineering, and other stakeholders to ensure successful spacecraft builds and payload integration. You will play a key role in developing the production organization, establishing operational discipline, and building the capabilities required to scale satellite production. This is a talent pool posting. We are building our Lisbon manufacturing organisation ahead of site ramp-up. We expect this role to open formally in Q4 2026. Applying now registers your interest early and puts you at the front of the process when the req goes live. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. What you will do - Lead the day-to-day execution of Manufacturing, Assembly, Integration and Testing (MAIT) activities, including spacecraft assembly and optical payload integration. - Lead and develop the production team, setting clear priorities, responsibilities, and performance expectations. - Manage daily production execution, including capacity, resources, production flow, schedule, and readiness. - Establish effective daily management routines, visual management, and performance tracking to drive safe, high-quality, and efficient execution. - Drive production ramp-up, readiness, and continuous improvement across processes, workstations, and production flow. - Apply Lean manufacturing principles to improve productivity, quality, flow, and repeatability, including 5S, Kaizen, standard work, and visual management. - Identify and resolve production issues through structured problem-solving and root cause analysis, working closely with Engineering and Quality. - Ensure production processes, work instructions, tooling, equipment, and resources are ready and properly implemented before execution. - Work closely with AIT Engineering, Manufacturing Engineering, Quality, Planning, and Logistics to ensure successful spacecraft builds and payload integration. - Drive a strong culture of safety, quality, ownership, accountability, and continuous improvement on the production floor. What we’re looking for Must haves: - 5+ years of experience in manufacturing, production, assembly, integration, or testing of complex hardware. - Proven experience leading production or manufacturing teams, including people management. - Experience in aerospace, space, aircraft, defense, or other high-reliability manufacturing environments. - Experience supporting production ramp-up, new factory setup, or new production line introduction. - Experience with Lean manufacturing or continuous improvement methodologies, including tools such as 5S, Kaizen, standard work, or visual management. - Experience with capacity planning, takt time, line balancing, or production flow optimization. - Experience working with MES, ERP, test data management, or similar production systems. - Experience working with complex hardware in cleanroom or controlled manufacturing environments. - Strong problem-solving skills, including structured root cause analysis and corrective actions. - Understanding of production flow and push/pull production systems. - Strong communication and stakeholder management skills. - Strong written and spoken English. Nice-to-haves: - Experience with satellite assembly, integration, and testing. - Experience with optical payload integration or other high-precision hardware. - Experience with Value Stream Mapping (VSM) or other advanced Lean tools. - Experience with NPI, industrialization, or product ramp-up. - Experience working closely with Engineering teams during new product introduction or production industrialization. - Experience with manufacturing quality tools such as PFMEA, control plans, or process capability. Application Process - Talent Acquisition interview - Hiring manager interview - Technical interview, including a technical challenge - Hiring team + director-level interview - Offer Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependant on experience, and will be negotiated individually. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. Experience building organizations from 0->1, not just inheriting an existing one. Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems. 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: £255,000 — £325,000 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 We are seeking a Strategic Finance Lead to provide finance leadership for our accelerator investments. In this role, you will be a key partner to our compute teams, providing financial expertise and guidance to optimize our compute investments and drive strategic decision-making. In this role, you’ll develop deep expertise in the economics of AI compute, from the unit economics of individual training runs to the long-range financial planning of our accelerator fleet. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment. Key responsibilities Finance lead for cloud accelerator compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance Build and maintain detailed bottoms-up data-driven financial models for accelerator infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling Develop deep expertise in compute contracts, pricing structures, and cost drivers, and surface optimization opportunities across our infrastructure Serve as subject matter expert for Anthropic’s overall compute capacity plan, owning source of truth and plan of record Support the implementation and management of financial planning tools (e.g., Pigment), ensuring our models and processes scale with the organization Analyze the economics of model training and research compute, including ROI across different dimensions like training run sizes, chip types, data, etc, and distill into actionable framework for capacity planning and deployment Partner closely with engineering and research teams to understand how training and reinforcement learning processes scale, and translate those technical dynamics into financial frameworks You may be a good fit if you have: Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences Proven track record of partnering with technical teams to drive financial optimization initiatives Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines Strong relationship building, business judgment, process management, and communication skills Are passionate about Anthropic's mission to build safe, transformative AI systems Are passionate about the effective integration of AI tools to streamline manual finance workflows Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc Preferred qualifications 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure, datacenter, or technology infrastructure experience 3+ years of experience specifically in cloud infrastructure financial management Experience working directly with major cloud service providers (AWS, GCP, Azure) MBA or other advanced degree in finance, economics, or business Deep expertise in cloud service provider economics, contract structures,  and pricing models Experience with chip architecture economics and optimization strategies Proficiency with financial modeling tools and languages (SQL, Python, Excel) 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: $240,000 — $325,000 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: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment. Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time. Responsibilities End-User Support Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations requiring cross-team coordination Participate in an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communication & Documentation Communicate clearly with users of all technical levels Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves Operational Improvement Help streamline onboarding and other high-volume operations as the company scales Contribute to automation efforts Maintain and improve device management, identity, and access systems Assist with scripting (Bash, Python) to automate repetitive tasks You may be a good fit if you Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment Are an excellent communicator who genuinely enjoys helping people solve problems Have strong troubleshooting skills and are methodical, curious, and persistent Demonstrated experience supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android Have significant experience with Google Workspace administration Have experience with Slack administration — workspace management, permissions, and troubleshooting Have substantial experience supporting and administering additional SaaS tools Understand identity and access fundamentals — SSO, MFA, directory services Are familiar with MDM fundamentals and endpoint management concepts Have experience with basic scripting (Bash or Python) for automation Take ownership of problems and follow through until they're resolved Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?" Are organized enough to manage competing priorities without things falling through the cracks Propose solutions when you see a process that doesn't scale Are looking to develop deeper technical skills and take on more complex systems administration challenges over time Strong candidates may also Be familiar with zero-trust security concepts and endpoint security tooling Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns) Have experience using AI tools to improve personal or team productivity Location This role is based in our San Francisco, New York or Seattle office and there is a 4 day/week in office expectation. What Makes This Role Unique You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for an M&A Tax Director to join our Tax Team at Anthropic. As the company pursues an active and growing pipeline of acquisitions, acqui-hires, data center investments, joint ventures and other strategic transactions, this role will be a core member of our transactions tax function, working closely with our M&A Tax Lead. You will support and lead tax workstreams across the deal lifecycle, from initial evaluation through post-closing integration, and serve as a trusted resource for our Corporate Development, Legal, and Finance teams. Beyond transactions, this role will support a wide range of strategic and operational tax matters. This is a high-impact role with significant ownership and a front-row seat to some of the most consequential transactions and tax planning work happening in AI today. If you're excited to help build a function from the ground up at a company working on one of the most important challenges of our time, we'd love to hear from you. Key responsibilities Lead and manage tax workstreams for acquisitions, mergers, acqui-hires, asset and stock purchases, corporate reorganizations, financing transactions, and minority investments, including tax due diligence, risk identification and quantification, and deal structuring analysis Partner with Corporate Development on deal pipeline evaluation, providing early-stage tax input to inform go/no-go decisions and deal economics Draft and review tax provisions in transaction documents, including purchase agreements, merger agreements, and ancillary deal documents Support post-acquisition tax integration planning, including entity rationalization, intercompany restructuring, and tax attribute analysis Advise on tax considerations for data center investments, build-to-suit arrangements, leases, and related infrastructure transactions, and coordinate with relevant team members on incentives, credits, and indirect tax matters Advise on the tax structuring of joint ventures, strategic partnerships, and REIT-related investment structures, including real estate and data center joint venture arrangements Help build and maintain transactions tax playbooks, due diligence checklists, and internal processes Coordinate with the tax compliance and provision teams to ensure clean handoff of closed transactions, including documentation of structure, elections, tax attributes, and reporting positions Prepare technical tax memoranda documenting transactions, material tax positions, and risk assessments to support internal sign-off, financial statement audit, and tax return filing positions Minimum qualifications JD or CPA M&A and transactional tax experience gained at a large law firm, Big 4 M&A tax practice, or in-house transactions tax team Strong technical expertise in federal and state tax rules governing corporate transactions, including Section 338, Section 368 reorganizations, and asset and stock acquisitions Experience running tax due diligence workstreams and quantifying tax exposures in transaction contexts Experience drafting and negotiating tax provisions in M&A transaction documents Experience supporting post-acquisition integration from a tax perspective, including entity rationalization and intercompany restructuring Preferred qualifications 7-10 years of tax experience, with significant M&A and transactional tax exposure LL.M. in Taxation or MST Experience providing general tax advisory support, including advising on commercial contracts, operational matters, and cross-functional tax questions Experience with joint ventures, partnerships, minority investments, revenue-sharing arrangements and financing transactions Experience with REITs, including REIT qualification and tax considerations for REIT joint ventures and real estate investment structures Experience with data center acquisitions, infrastructure transactions, or real estate tax considerations Tax experience at a high-growth technology company Knowledge of state and local tax (SALT) implications of transactions Experience with equity compensation tax issues in the context of acquisitions and acqui-hires Exposure to international tax aspects of cross-border acquisitions Exceptional communication skills, with the ability to translate complex tax issues into clear, actionable guidance for Legal, Finance, and Corporate Development partners Comfort with ambiguity and a willingness to help build processes from scratch in fast-paced environments Passion for Anthropic's mission to build safe, transformative AI systems 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: 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 AV Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants. Responsibilities Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans Program and commission AV systems to meet specific use cases and user requirements Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces Develop automated solutions to improve system reliability and reduce operational overhead Partner with Security and IT teams to ensure AV systems meet enterprise security requirements Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met Manage relationships with AV integrators and vendors to ensure project success Assist with AV operations support including event production and system maintenance as needed You may be a good fit if you Have 8+ years of experience designing and implementing AV systems in an enterprise environment Are proficient in control system programming utilizing the Q-Sys ecosystem or similar Have hands-on experience with video conferencing platforms, particularly Google Meet Can read and create AV technical drawings including schematics, line diagrams, and rack elevations Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing Are familiar with enterprise video distribution, streaming technologies, and broadcast standards Can manage multiple projects simultaneously while meeting aggressive timelines Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions Have excellent troubleshooting skills and are comfortable diving into complex integrated systems Care about creating exceptional user experiences through technology Are excited about the opportunity to build scalable AV infrastructure from the ground up Strong candidates may also have Experience with Logitech video conferencing ecosystem and management platforms Certifications such as Q-Sys Level 2, CTS, or CTS-D Familiarity with control scripts using Lua within Q-Sys Background in broadcast production or live event engineering Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110) Familiarity with digital signage platforms (Appspace or similar) Understanding of acoustical design principles for conference spaces Track record of successful large-scale office technology deployments Previous experience performing AV installations Background working in high-growth technology companies Experience with Google Workspace administration Role Specific Location Policy: This role will be based in our London office This role is expected to be in office 75% of the time This position will require up to 8 weeks of domestic and international travel to help with new office build outs Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £210,000 — £250,000 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 an AV Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants. Responsibilities Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans Program and commission AV systems to meet specific use cases and user requirements Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces Develop automated solutions to improve system reliability and reduce operational overhead Partner with Security and IT teams to ensure AV systems meet enterprise security requirements Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met Manage relationships with AV integrators and vendors to ensure project success Assist with AV operations support including event production and system maintenance as needed You may be a good fit if you Have 8+ years of experience designing and implementing AV systems in an enterprise environment Are proficient in control system programming utilizing the Q-Sys ecosystem or similar Have hands-on experience with video conferencing platforms, particularly Google Meet Can read and create AV technical drawings including schematics, line diagrams, and rack elevations Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing Are familiar with enterprise video distribution, streaming technologies, and broadcast standards Can manage multiple projects simultaneously while meeting aggressive timelines Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions Have excellent troubleshooting skills and are comfortable diving into complex integrated systems Care about creating exceptional user experiences through technology Are excited about the opportunity to build scalable AV infrastructure from the ground up Strong candidates may also have Experience with Logitech video conferencing ecosystem and management platforms Certifications such as Q-Sys Level 2, CTS, or CTS-D Familiarity with control scripts using Lua within Q-Sys Background in broadcast production or live event engineering Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110) Familiarity with digital signage platforms (Appspace or similar) Understanding of acoustical design principles for conference spaces Track record of successful large-scale office technology deployments Previous experience performing AV installations Background working in high-growth technology companies Experience with Google Workspace administration Role Specific Location Policy: This role will be based in our San Francisco office This role is expected to be in office 75% of the time This position will require up to 8 weeks of domestic and international travel to help with new office build outs Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 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.