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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. Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of strategic accounts in our Enterprise Tech segment. As our dedicated Outcomes AI Manager for Strategic Tech Customers  you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas. You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment. Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies. You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet. Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling. A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team: The OKX Data Engineering team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services.  As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling (star/snowflake schemas) Partner with analytics and business teams to understand requirements and deliver trusted, well-documented datasets Design and build resilient and efficient data pipelines for both batch and real-time streaming data Architect and design data infrastructure on cloud using industry standard tools Ensure data integrity and scalability through enforcement of data standards. Improve data validation and monitoring processes to proactively prevent, identify and resolve issues Define, understand, and test external/internal opportunities to improve our products and services Requirements: Bachelor’s Degree in Computer Science and at least 4+ years of experience in Data Engineering with significant focus on Data Marts Solid Experience with data processing tools such as Spark and Flink Solid Experience implementing batch and streaming data pipelines In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting Be proficient in SQL, familiar with advanced SQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions Proven successful and trackable experience in full end-to-end data solutions involving data ingestion, data persistence, data extraction and data analysis Preferred Qualifications: Experience with Data Analysis platforms like Datawind Experience in Big D ata tools such as Ali Cloud DataWorks, MaxCompute, AWS DataBricks, Hadoop, Hive, Spark and HBase Perks & Benefits: Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team: OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services.  As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Proficient in mainstream cloud computing and big data technologies such as Hadoop, Hive, Flink, YARN, Elasticsearch (ES), Kafka , etc. Expert in real-time big data processing using Flink , with solid experience in Flink SQL development . Build and optimize offline and real-time data pipelines to ensure data timeliness and accuracy . Independently manage end-to-end business requirements , responsible for the R&D design and construction of the online (customer-facing) product data pipeline , including performance optimization , and empower business growth through data products and services . Requirements: Bachelor’s degree or higher from an accredited university in Computer Science or a related field. 3+ years of experience independently handling end-to-end business requirements , with strong self-motivation, a high sense of responsibility, excellent communication and teamwork skills, and a passion for continuous learning and self-challenge. Proficiency in both English and Chinese (listening, speaking, reading, and writing) . Familiar with data warehouse modeling , with successful experience in designing and refactoring large-scale data warehouses . Mastery of multiple big data architectures, especially Alibaba Cloud DataWorks/MaxCompute , AWS Spark , Databricks , and StarRocks/Doris . In-depth understanding of real-time processing, expert in Flink performance tuning and stress testing , and Flink source code reading experience is preferred. Preferred Qualifications: IELTS score of 7 or above in all four components. 3+ years of work experience in English-speaking regions. Experience in cross border e-commerce , and familiarity with multi-country, multi-language architectural design is a plus. Solid foundation in Java , with backend development experience . Perks & Benefits: Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Tokyo, Japan 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. Key responsibilities Partner with account executives across Japan 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 across Japan 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 across Japan. 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 across Japan 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 Minimum qualifications Experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native-level Japanese fluency and business-level English required 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 Preferred qualifications 5+ years of relevant experience 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 Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a customer-obsessed software engineer to come ship with us. You’ll own features like multi-node training and products like serverless reinforcement learning (RL) from conception to MVP (and from MVP to GA!). You’ll work through the stack, architecting solutions from API and UI down to our infrastructure layer. You’ll fine tune models yourself to develop an understanding of user workflows. You’ll work closely with research engineers leveraging state-of-the-art training techniques to build experiences that accelerate model development and solve for real pain points. If you’re excited to dive deep into the training, let’s talk! THE PRODUCT Take a look at what we’ve built so far: - Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga - Training docs overview https://docs.baseten.co/training/overview - Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/ - Research we've done https://www.baseten.co/resources/research/ EXAMPLE INITIATIVES - Checkpointing Pipeline: Our checkpointing pipeline starts with automated checkpointing, a feature that ensures that versions of models created during training are automatically backed up to the cloud. Users are able to then deploy checkpoints seamlessly into inference servers, providing point-and-click integrations into inference frameworks like vLLM and Baseten’s Inference Stack. This enables customers to quickly evaluate the performance of their checkpoints with real traffic. - Multinode training: Multinode training enables customers to easily run training jobs across multiple compute nodes, enabling users to train large models like GLM 4.7 and DeepSeek. We’ve built deeply at the Kubernetes layer to ensure that scheduling, startup, inter-node communication, and shutdown happen seamlessly under the hood and as the user expects. - Training DX: Customers come to train on Baseten because it helps them get to value fast. To do this, we ensure that the features we ship aren’t just fast, but are easy to iterate with. We enhanced Baseten’s metrics from pod-level GPU summaries to per-GPU and per-Node. We’ve built a CLI experience that caters to terminal users, and UI experiences that enable user to seamlessly manage their training jobs. RESPONSIBILITIES - Iterate like crazy - Design ergonomic APIs and abstractions to model complex resources and lifecycles - Work throughout the stack (API layer, backend and database implementation, infra layer; frontend is a plus) to implement features. - Fine-tune and deploy models to develop intuition around training workflows. - Partner closely with model developers and world-class research engineers to understand the requirements and pain points of post-training workflows. - Drive long-term improvements to improve reliability of systems and velocity of development - Fix bugs & resolve customer issues with urgency REQUIREMENTS - 5+ years experience building software applications - Deep knowledge of the web stack, databases, and distributed systems - Experience developing developer tooling or infrastructure products for external or internal users. - Good taste in product, particularly developer-oriented tools - Interest in ML/AI infrastructure and willingness to learn - Driven by high agency and ownership - Strong communication skills with the ability to bridge technical depth and business needs NICE TO HAVE - Experience launching features and products through different release cycles (MVP, Beta, GA, etc.) - Experience with model development methods and paradigms, like Supervised Fine-Tuning, Reinforcement Learning, Synthetic Data Generation, LoRA, Full Finetunes, etc. - Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed). - Experience developing AI products, tooling, or agents - Frontend fluency BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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 (Healthcare) at Anthropic, you'll join the foundational team at the forefront of introducing our frontier AI platform to healthcare organizations. You'll drive adoption of safe, frontier AI by securing strategic deals with health systems, hospitals, and payor organizations. You'll leverage your consultative sales expertise in healthcare to grow revenue while becoming a trusted partner to healthcare stakeholders — helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with Product and Marketing, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with healthcare decision-makers. The ideal candidate has a passion for developing new market segments within healthcare delivery and insurance, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you'll help healthcare enterprises obtain new capabilities while advancing the ethical development of AI. Key responsibilities Own a book of strategic, high-value accounts across health systems, hospitals, and payor organizations — driving the full sales cycle from outbound to close and navigating complex organizations to reach key clinical, administrative, and payor decision-makers Design and execute sales strategies tailored to healthcare procurement cycles, value-based care initiatives, and budgeting processes, translating market landscape and trend analysis into targeted account plans and campaigns that meet and exceed revenue targets Identify and prioritize high-potential opportunities across clinical departments, care management teams, claims processing units, and administrative offices, partnering cross-functionally to differentiate Anthropic's offering for both healthcare delivery and payor use cases Run a disciplined pipeline and forecasting cadence, managing an evolving sales process to deliver predictable, coachable performance against quota Partner closely with Product and Applied AI to translate feedback from clinicians, care coordinators, and administrative leaders into product and roadmap input, strengthening Anthropic's value proposition for healthcare organizations Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across health systems and payors Minimum qualifications 5+ years of enterprise sales experience in healthcare, with demonstrated success covering health systems, hospitals, and/or payor organizations A track record of managing complex, multi-stakeholder sales cycles within healthcare organizations and securing strategic deals by understanding both technical requirements and clinical/administrative use cases Extensive experience negotiating complex agreements within healthcare procurement frameworks, including value-based care contracts and payor policies Proven experience exceeding revenue targets in healthcare by effectively managing an evolving pipeline and sales process Excellent communication skills, with the ability to present confidently across healthcare audiences — from physicians and nurses to C-suite executives and payor leadership A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications Deep understanding of healthcare buying cycles, decision-making processes, and key pain points across both provider and payor organizations A strategic, analytical approach to assessing the healthcare market, paired with creative, tactical execution to capture opportunities Experience developing and refining healthcare AI use cases in collaboration with customers and channel partners, with particular focus on care delivery, population health, and administrative efficiency Passion for and/or experience with advanced AI systems and their clinical applications, with strong conviction around safe, ethical development for AI in clinical use The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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. 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: Montreal Workplace: onsite ABOUT YOU   We are looking for a Tech Lead to drive the technical direction, architecture, and delivery of Xsolla’s fraud prevention and risk systems. This role requires deep fintech and payments experience, strong understanding of Anti-Fraud Systems (AFS), and the ability to lead engineers building high-throughput, low-latency, decision-critical systems.   You will work closely with Product, Data Science, Risk Operations, Compliance, and Platform teams to design and evolve fraud detection, prevention, and investigation capabilities at global scale.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Technical Leadership & Architecture Own the technical vision and architecture of Xsolla’s anti-fraud platform and services. Design scalable, resilient systems for real-time transaction risk scoring , rule engines, and decision workflows. Lead architectural decisions around AFS integrations , internal fraud engines, and third-party providers. Ensure systems meet performance, reliability, security, and compliance requirements. Fraud & Fintech Domain Leadership Translate fraud and risk requirements into robust technical solutions. Partner with Risk, Payments, and Compliance teams on: Transaction monitoring, Chargeback reduction, AML / KYC-adjacent workflows (where applicable), and Regulatory and scheme requirements (Visa, Mastercard, etc.) Evaluate and evolve fraud strategies across: Card-not-present transactions, Alternative payment methods, Digital goods and gaming-specific fraud vectors Engineering Execution: Lead a team of engineers (directly or as a technical lead across squads), Drive best practices in: Code quality and reviews, System observability and alerting, Secure development, and Incident response and root cause analysis Balance speed, risk, and quality in a high-impact domain. Collaboration & Influence: Work cross-functionally with Product Managers, Data Scientists, and Operations Mentor senior and mid-level engineers in both technical depth and domain expertise . Act as a technical escalation point for complex fraud-related incidents. Qualifications & Skills: 8+ years of professional software engineering experience, with significant time in fintech or payments . Proven experience designing or leading Anti-Fraud Systems (AFS) , such as: Rule engines, Risk scoring pipelines, and Decision orchestration systems Strong backend engineering skills (e.g., Java, Kotlin, Go, or similar). Experience building high-volume, low-latency distributed systems . Deep understanding of Event-driven architecture, APIs and integrations, Data stores used for real-time decisioning, and Domain Expertise Hands-on experience with fraud prevention in: Payment processing, Digital commerce or marketplaces, and Gaming or virtual goods (strong plus) Understanding of fraud patterns, abuse vectors, and mitigation techniques. Familiarity with: Chargebacks and dispute flows, 3DS, risk exemptions, and payment scheme rules, and Working with external fraud vendors and tools Proven ability to lead technically without relying solely on formal authority. Strong decision-making skills in ambiguous, high-risk domains. Excellent communication skills, able to explain complex technical and fraud concepts to non-technical stakeholders. Comfortable owning outcomes in a mission-critical area. Nice to Have: Experience working with data science or ML-driven fraud models. Knowledge of AML, KYC, or regulatory frameworks. Prior experience in global payment platforms or PSPs. Experience operating systems at global scale (multiple regions, currencies, and regulations) . Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Tech Lead, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Strategic Finance, GTM member to join our Finance team at Anthropic to partner with sales counterparts. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations. Key responsibilities Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations Establish and implement reporting dashboards and scorecards to track key operational and financial metrics Minimum qualifications Experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences Excitement about working 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 Preferred qualifications 10+ years of experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking GTM Finance Business Partnership experience A combination of 10+ years in strategic finance, paired with several years prior across private equity, growth equity, venture capital, consulting, and investment banking Experience with consumption based and/or complex business models High knowledge of and interest in effective go-to-market strategies including deal-desk management Background in AI, ML, or related technologies Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Mid-Market Account Executive on Anthropic's High Tech team, you'll drive the adoption of safe, frontier AI by securing strategic deals with tech-forward mid-market companies, unlocking new value streams throughout their business. The role sits at the intersection of consultative selling and technical fluency, helping customers empower their workforce, accelerate processes, and build products with Claude. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the ecosystem. You will be contributing to the GTM strategy for our High Tech team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated. Responsibilities: Run an end-to-end sales cycle, from first outbound to launch Win new business and expand existing accounts Build and execute sales strategies that drive quota attainment. Identify market opportunities, generate pipeline, and drive revenue Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions Leverage your technical aptitude to earn credibility with engineers, product leaders, and executives Shape product roadmaps by gathering customer feedback and translating market needs into actionable insights for Product and Engineering teams Contribute to the Mid-Market GTM strategy by sharing learnings, refining playbooks, and identifying process improvements that make the team more effective You may be a good fit if you have: 4+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Excellent communication skills with the ability to build trust and credibility with C-level executives Experience automating workflows or building automations to handle the repeatable components of a sales process A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Location: This role does require being in office 4x a week in one of our hubs The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Growth Account Executive, Startups at Anthropic, you'll manage a portfolio of startup customers and help them harness the transformative potential of safe, frontier AI. This role is designed for early-career sales professionals who thrive in fast-paced environments and are excited about building scalable engagement models. You'll leverage Claude and other tools to efficiently serve a large customer base while identifying high-potential accounts for growth. The ideal candidate will combine strong foundational sales skills with intellectual curiosity about AI and a passion for process improvement. You'll develop playbooks for scaled customer engagement that benefit the entire Growth AE organization, while building the skills to advance into more senior AE roles. Responsibilities: Manage a portfolio of ~80 startup accounts, maintaining high retention and identifying expansion opportunities Build and execute scalable engagement models using Claude and automation to efficiently serve a high-volume customer base Identify breakout accounts with high growth potential and ensure smooth transitions to expanded coverage when appropriate Develop and document best practices for scaled customer engagement that can be shared across the Growth AE organization Conduct streamlined account health checks and identify early warning signs of churn risk Partner with customers to understand their business models and product,  advising them through their AI transformation, and gathering feedback to inform product development Collaborate with Applied AI and other cross-functional teams to support customer technical needs You may be a good fit if you have: 3-5 years of experience in sales, account management, customer success, or related roles Demonstrated ability to manage multiple priorities and a high volume of customer relationships simultaneously Strong communication skills with ability to build rapport quickly across various customer personas Analytical mindset with comfort using data to prioritize accounts and identify trends Enthusiasm for emerging technologies and genuine interest in AI A "roll up your sleeves" mentality and comfort operating in ambiguous, fast-changing environments Strong candidates may have: Experience with consumption-based or usage-based pricing models Familiarity with technical products, APIs, or developer-focused solutions Experience working with startup customers or in a high-growth startup environment Exposure to AI/ML concepts and applications 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: $222,800 — $290,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 We are looking for software engineers to help build the foundational pieces for safety, oversight and intervention mechanisms of our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight. Responsibilities: Develop the foundational systems which power Safeguards, including infrastructure for data storage and management, metric and evaluation systems, and tooling for human and agentic review. Ensure the day-to-day running of Safeguards systems and hold a high operational bar which serves both safety and customers while reducing the amount of human intervention and oversight required. Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in Python Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 7+ years of experience in a software engineering position Have experience building trust and safety, anti-spam, fraud or abuse detection and mitigation mechanisms and interventions for AI/ML systems Have experience building metrics and measurement systems or data and privacy management systems Have worked closely with operational teams to build custom internal tooling Be proficient in TypeScript or Rust Have experience with Claude Code or similar agentic coding tools 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: £325,000 — £395,000 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. 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: Canada Workplace: remote ABOUT YOU   We’re looking for a Backend Software Engineer with a strong infrastructure mindset to join our Technology team. This role sits at the intersection of backend development and platform engineering, with Kubernetes as a first-class concern, not just a deployment target.   Our platform dynamically scales hundreds of servers daily, orchestrating isolated runtime environments inside Kubernetes pods. You’ll help design, build, and evolve the backend services and infrastructure systems that make this possible—focusing heavily on Infrastructure as Code, dynamic scaling, and reliability at scale.   If you enjoy working close to the metal (while still writing application code), thinking in systems, and solving problems where application behavior and infrastructure behavior are deeply intertwined, this role is for you.     ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world.   For more information, visit xsolla.com. Responsibilities: Design, develop, and maintain backend services and APIs using Node.js and TypeScript Architect and evolve Infrastructure as Code (IaC) that drives dynamic Kubernetes scaling and orchestration Build and maintain Docker-based deployment pipelines and runtime images Design and optimize deployment and scaling strategies across many services and environments Collaborate closely with engineering and DevOps to ensure systems are resilient, observable, and secure Monitor, troubleshoot, and improve system performance, reliability, and cost efficiency Document infrastructure patterns, operational workflows, and best practices Stay current with emerging tools and approaches in cloud infrastructure and backend systems Qualifications & Skills Deep hands-on experience with Kubernetes, including: Autoscaling and capacity management, Cluster-level behavior and lifecycle concerns, and Production debugging and incident response Strong experience building and running Dockerized workloads Proficiency in Node.js and TypeScript for backend services Practical experience with Infrastructure as Code (Terraform or similar) Experience designing and operating scalable backend systems in production Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Backend Software Engineer position, we will conduct a background check that may include: - Criminal history check - Employment verification - Education verification   Relevance to Job Responsibilities: The background check is relevant to this position due to responsibilities such as accessing confidential company data and ensuring compliance with regulatory requirements.   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Canada Workplace: remote ABOUT YOU   We are looking for a Video Streaming Engineer who is innovative, detail-oriented, and passionate about building high-performance video streaming solutions to join our Technology team. The ideal candidate thrives in a fast-paced, collaborative, and dynamic environment, and is excited to architect, optimize, and maintain advanced video streaming pipelines and infrastructure for global audiences.   Strong technical expertise in GStreamer, Chromium Embedded Framework (CEF), FFmpeg, Docker, Rust, C++, and modern video codecs and protocols is essential. You will be responsible for designing and implementing low-latency, high-quality video streaming systems, integrating with a variety of containers and transmission protocols, and ensuring seamless playback and compositing across platforms.   If you are passionate about advancing video technology and love solving complex challenges in real-time media delivery, we would love to hear from you!     ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world.   For more information, visit xsolla.com. Responsibilities: Design, develop, and optimize video streaming pipelines using GStreamer, FFmpeg, and CEF as part of the compositing pipeline. Implement and maintain support for a wide range of video codecs (e.g., H.264 , HEVC, VP8, VP9, AV1, VVC) and containers/protocols (e.g., FLV, HLS, RTMP, SRT, MPEG TS, MP4). Build and deploy streaming solutions using Docker and containerized environments. Develop high-performance, low-latency video processing modules in Rust and C++. Manage integration of CEF into the video compositing pipeline to enable advanced rendering and overlay capabilities. Monitor, troubleshoot, and optimize streaming quality, latency, and reliability. Collaborate with cross-functional teams to deliver seamless video experiences for end users. Stay current with industry trends and emerging technologies in video streaming and real-time media delivery. Document architecture, processes, and best practices for video streaming systems. Qualifications & Skills Proven experience with GStreamer and FFmpeg for video processing and streaming. Hands-on experience integrating Chromium Embedded Framework (CEF). Proficiency in Docker for containerized deployments. Strong programming skills in Rust and C++. Deep understanding of video codecs ( H.264 , HEVC, VP8, VP9, AV1, VVC). Experience with video containers and transmission protocols (FLV, HLS, RTMP, SRT, MPEG TS, MP4). Solid grasp of network protocols and real-time media transmission. Experience optimizing for low latency and high reliability in video delivery. Nice to Have: Experience with cloud-based video streaming infrastructure (AWS, Azure, GCP). Familiarity with DRM, adaptive bitrate streaming, and content protection. Knowledge of WebRTC or similar real-time communication technologies. Experience with performance profiling and debugging of multimedia applications. Background in gaming, live streaming, or interactive media. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Video Streaming Engineer position, we will conduct a background check that may include: - Criminal history check - Employment verification - Education verification   Relevance to Job Responsibilities: The background check is relevant to this position due to responsibilities such as accessing confidential company data and ensuring compliance with regulatory requirements.   By submitting your application, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with the Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive (Life Sciences) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading life sciences organizations. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across pharmaceutical, biotechnology, and research organizations. You'll leverage deep life sciences sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into R&D, clinical development, and commercial workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for life sciences decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across pharmaceutical, biotech, and research organizations, and running the strategies to win them. By driving deployment of Anthropic's emerging products into life sciences enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across pharmaceutical, biotechnology, and research organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of R&D, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate life sciences-specific needs — R&D, clinical development, commercial — into product and roadmap input Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader life sciences motion Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications 5+ years of enterprise sales experience in life sciences, with demonstrated success covering bio, pharma, and research organizations A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within life sciences (pharmaceutical, biotechnology, or research organizations) Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large pharmaceutical or biotechnology companies Deep familiarity with regulated-industry selling — GxP compliance, data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of pharma/biotech organizations Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience navigating long, multi-stakeholder enterprise cycles (12+ months) typical of biopharma R&D and drug development procurement The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $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. 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 | 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 is seeking a seasoned Revenue Accounting professional to join our growing Accounting Team. In this position, you will drive revenue accounting operations, accounts receivable accounting, and financial reporting processes. You will play a critical role in ensuring accurate revenue recognition, managing complex AR processes including CECL compliance, and enhancing our month-end close operations. The ideal candidate brings deep technical accounting expertise, leadership capabilities, and thrives in our fast-paced, innovative environment. Responsibilities Manage daily revenue accounting operations, including high-volume transaction processing, and ensure accurate revenue recognition in compliance with ASC 606 Own the month-end revenue close process by reviewing and approving revenue-related account reconciliations and journal entries for revenue, deferred revenue, and unbilled receivables Manage comprehensive accounts receivable accounting functions, including AR reconciliations, aging analysis, and accurate recording of customer receivables Lead quarterly CECL aging analysis to ensure consistent application of ASC 326 and work with AR & Collections Lead to develop key AR metrics for management reporting Perform regular month-end close flux analysis, identifying and explaining significant variances in revenue and accounts receivable balances to ensure financial integrity and provide insights for management decision-making Collaborate cross-functionally with Finance Operations, Finance Strategy, Billing Support, and business partners on strategic processes and programs Support revenue accounting system initiatives, including design, implementation, testing, and optimization Serve as subject matter expert for revenue and AR accounting questions across the organization Lead audit coordination and serve as primary contact for external auditors during year-end audit Maintain comprehensive documentation for all revenue and AR processes You may be a good fit if you have Bachelor's degree in accounting or finance (or equivalent experience) 10+ years of accounting experience, with at least 3 years in public accounting Strong knowledge of ASC 606 Revenue from Contracts with Customers & ASC 326 Credit Impairment Experience with accounts receivable accounting and financial reporting Experience in collaborating across departments to influence change Attention to detail, excellent communication skills, and strong sense of teamwork Ability to work independently and prioritize in a fast-paced environment Strong sense of ownership and independence, with proven ability to identify issues, propose solutions, and drive initiatives to completion with minimal supervision Proven experience in managing and mentoring accounting professionals, with the potential to lead team members (both contractors and FTEs) as our team continues to grow Strong candidates may also have Experience in a growing SaaS technology business, preferably in startup or high-growth environments Experience with third-party platform revenue models and related accounting complexities Passion for data integrity, comfort with large datasets, and enjoyment of solving complex problems Proficiency with mainstream ERP systems and revenue engines such as NetSuite ARM, Oracle, SAP, Workday Financials and comparable systems. NetSuite ARM experience strongly preferred Experience with Metronome, Stripe, Anrok, or similar software is a plus Database & SQL experience is a plus Exceptional business acumen with ability to translate complex financial concepts into actionable insights for non-finance stakeholders The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and team. This role is for people who are deep systems thinkers, love stacking nines, and thrive on making others move faster at scale. WHAT YOU'LL WORK ON: - Identify architectural changes to improve reliability and performance - Foster a culture of reliability across Modal’s engineering organization - Define and implement operational processes such as deployments and upgrades - Operate infrastructure like Kubernetes, Postgres, and Redis - Participate in on-call rotations and respond to production incidents YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You have 2+ years of on-call experience for critical production services - You have strong cloud skills and deep familiarity with at least one hyperscaler cloud (AWS preferred) - You’re familiar with autoscaling, fleet management, and capacity planning at scale - You’ve operated databases, monitoring, CI/CD, and other infrastructure at scale - You’re able to work in person in our NYC or Stockholm offices NICE-TO-HAVE: - Experience owning and scaling Kubernetes clusters to thousands of nodes - Experience with systems safety research (e.g., STAMP) and control theory

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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're looking for a Commercial Counsel, GTM to join our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving quickly, thinking creatively, and collaborating to support deals that matter. In this role, you'll focus heavily on supporting our Go-to-Market teams, handling enterprise agreements and customer negotiations while gaining exposure to a range of commercial work including research collaborations, product partnerships, and procurement. You'll also have opportunities to work on AI safety and research agreements, including threat-sharing frameworks with leading security organizations and collaborations that shape and advance responsible AI development standards. This is an excellent opportunity for a motivated attorney to develop deep expertise in commercial transactions while contributing directly to responsible AI development. Key responsibilities Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions including enterprise customer contracts Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements Potentially partner with Policy, Safeguards, and Research teams on novel AI governance initiatives Identify and escalate legal risks appropriately while supporting business momentum Stay current on legal developments affecting AI technologies Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Experience drafting, reviewing, and negotiating commercial agreements Demonstrated ability to provide clear, practical legal guidance to non-lawyers on complex commercial law matter Preferred qualifications Active membership in the California bar At least 5 years of legal experience with exposure to commercial contracts, SaaS agreements, or technology transactions Clear communication skills and comfort translating legal concepts for non-lawyer audiences A collaborative approach to working with colleagues and external partners Genuine curiosity about AI technology and AI policy, and a commitment to responsible AI development Experience navigating multi-stakeholder agreements involving technical and policy considerations Willingness to take initiative and pitch in wherever the team needs support Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco, Seattle or New York offices at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $335,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.