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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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We'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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a research engineer who believes that visual and spatial reasoning are core to fully unlocking the capabilities of LLMs. On the Vision team, you'll own the end-to-end process of creating training data and RL environments targeting visual knowledge work: identifying long-horizon and vision-heavy tasks, building evals, designing rewards, and scaling data. This is a unique role that combines applied research with hands-on data work. It's also highly collaborative — you'll partner with external vendors, pretraining, RL, and product teams to make sure the environments you build translate into real-world knowledge work capabilities. What you'll do: Own the data strategy for vision capabilities end-to-end, from building evals and scaling RL environments Manage technical relationships with external data vendors, including writing task specifications, evaluating visual data and annotation quality, and iterating on reward design Develop and improve QA frameworks that catch reward hacking and ensure environment quality at scale Run generalization experiments to measure how data strategy changes improve multimodal capabilities on held-out evaluations Partner with pretraining, RL, and product teams, and do the science that shows we’re all rowing in the same direction You may be a good fit if you: Have 7+ years of ML, computer vision, and software engineering experience through industry, academia, or other projects Have experience with reinforcement learning, reward design, or training data curation for large language or vision-language models Are familiar with the architecture, training, and operation of large vision language models Are comfortable managing technical vendor relationships and iterating quickly on feedback Are results-oriented, with a bias towards flexibility and impact Care about the societal impacts of your work Strong candidates may also have experience with: Designing evals or benchmarks for LLMs or vision language models Large-scale pretraining, SL, and RL on language models Deep learning research on images, video, or other modalities Developing complex agentic systems using LLMs Large-scale ETL and data pipeline development Representative projects: Writing a vendor-facing specification for a new family of visual RL training tasks, then iterating with the vendor on coverage, quality, and reward design Running experiments to determine ideal training datamixes and parameters for a synthetically generated vision dataset Finetuning Claude to maximize its performance using a particular set of agent tools/skills The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mountain View, California, USA Workplace: Hybrid About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. YOUR IMPACT We’re looking for a pioneering North America GTM Lead who will work directly with the Head of Global GTM to grow our sales presence in North America. In this role, you will be managing some of our most important prospects and customers. You will be hands-on in translating complex customer needs into scalable solutions, shaping how new customers experience Inworld from their very first interaction. You’ll be the architect of trust and technical credibility, working cross-functionally with product, engineering, and growth to help deals progress end-to-end, ensuring seamless adoption and long-term customer impact. Your work will lay the foundation for our GTM strategy, uncover new market opportunities, and directly influence how Inworld scales its solutions across industries. WHAT YOU’LL DO - Manage a robust book of business and run the end-to-end sales process, ensuring customer technical requirements are met and deals progress. - Translate customer needs into actionable technical requirements for Product and Engineering. - Build credibility with external stakeholders through technical fluency and solution-oriented thinking. - Own pipeline generation opportunities through outbound engagement, trend analysis, mining our rapidly growing PLG funnel, and working with our GTM Engineer and BDR team. - Partner cross-functionally with Product, TPM, and Growth teams to ensure a seamless customer experience. - Manage POCs and use GTM tooling to accelerate deal cycles and increase win rates. - Contribute to shaping GTM strategy by identifying new verticals, use cases, and expansion opportunities. WHAT YOU’LL BRING - 5+ years of experience in customer facing roles (AE, SE, GTM Lead) with demonstrated technical aptitude. - Strong technical background (AI, cloud, infrastructure, or software-related environments preferred). - Demonstrated ability to manage external customer or partner relationships toward defined outcomes. - Track record of independent execution, problem solving, and meticulous follow-through. - Effective communicator with ability to bridge technical and business conversations. - High level of empathy and integrity in client interactions. - Thrive in ambiguity and see constant change as opportunity, not obstacle. - Prior exposure to a product-led growth strategy and usage-based business model. - Bachelors degree or higher, in a technical domain. BONUS QUALIFICATIONS - Experience at a high-growth startup, or as a founder/operator. - Experience with modern GTM systems (Clay, n8n, zapier etc.). - Familiarity with the AI ecosystem and emerging use cases. - Basic understanding of sales principles (MEDDPICC, BANT etc.). Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week). The base salary range for this full-time position is between $150,000 - $200,000 + commission + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Remote Global (US, EU) Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way. Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission. We believe the open-source Diem technology we have developed is an important foundation of a safe and scalable web3 world where everyone has more equitable opportunities to grow and access financial assets with lower fees and fewer intermediaries. Aptos (Ohlone for "The People") encompasses our mission and ethos for why we build. About the Role At Aptos Labs we’re pioneering the future of web3 and need a passionate Product Security Engineer to help secure our core technologies. In this role, you’ll be at the forefront of safeguarding our Aptos core infrastructure and Aptos Labs products. Your proactive approach will help us identify and mitigate emerging threats, ensuring our systems remain resilient and trustworthy. You will work closely with our developers, influence security best practices, and lead initiatives that shape the future of web3 security. Responsibilities Analyze and assess novel and recurring security issues via design reviews, code audits, and penetration tests. Design and build security tools, and develop mitigations, frameworks, and hardening strategies tailored for vulnerability prevention and detection. Review and develop secure operational practices, and provide security guidance for engineers. Respond to and triage reports from bug bounty programs. Minimum Qualifications B.S. or M.S. in Computer Science, a related technical field, or equivalent experience. 3+ years of experience in vulnerability research and exploitation. Experience with native development practices and common vulnerability patterns (e.g., Rust, C, etc.) Experience with automated security analysis tooling and frameworks (fuzzing, static analysis, etc.) Preferred Qualifications Contributions to the security community (public research, blogging, talks in relevant conferences, etc.) Experience with virtual machines or complex runtime environments, such as MoveVM (extra bonus), EVM, WASM, or LLVM-based runtimes, including their security models, sandboxing, and execution isolation. Familiarity with smart contract programming languages (extra bonus for Move), security tools, and frameworks, including formal verification. Our Benefits 100% insurance premium coverage for medical, dental, and vision for you and your dependents (US Employees) Equipment of your choice Flexible vacation time, 11 holidays, and floating company days off Competitive Salary Protocol Token Grants 401k matching (US Employees) Fun and inclusive in-person and digital events Aptos is committed to diversity in the workplace, and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided based on qualifications, merit, and business need. We are committed to providing a safe and secure hiring process for all applicants. Unfortunately, there are individuals who may attempt to impersonate Aptos or our employees for fraudulent purposes. To protect yourself, please be aware of the following: We will never ask you for payment of any kind during the application or onboarding process, including fees for background checks, training, or equipment. We will always communicate with you using our official company email domain. We will never request your personal financial information, such as your social security number or bank account details, during the initial application stages or via email or a video/voice call when onboarding.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Strategic Enterprise CSMs don't manage accounts — they transform how companies run their finances. This is a role for people who have been inside large organizations when change was hard, who speak the language of a CFO, and who already use AI the way surgeons use instruments: not occasionally, not as an experiment, but as the default way they work. You'll be embedded in Ramp's largest, most strategic enterprise accounts, responsible for driving genuine workflow transformation — not just onboarding completion. What You'll Do - Lead enterprise customers through the full transformation journey — from implementation through agentic workflow adoption — with clear accountability for time-to-value and measurable business outcomes - Build and own the change management strategy for each account: map stakeholders, diagnose resistance, build internal coalitions, and drive adoption past the finish line - Quantify and communicate Ramp's impact in the language CFOs and Controllers care about — close cycle improvement, spend visibility, variance reduction, and ROI — not just product usage metrics - Run executive-level stakeholder management across multiple layers of a customer org, including C-suite relationships you own independently - Use AI tools daily to prepare for customer calls, build materials, synthesize data, identify account risk, and operate at a pace traditional methods can't match - Help customers understand and adopt Ramp's agentic finance capabilities — positioning new workflows not as features, but as fundamental changes to how their finance team operates - Partner with Account Executives and Technical Consulting to deliver seamless implementations and expand Ramp's footprint within accounts - Bring customer insight back to Product — surfacing patterns, gaps, and opportunities from your accounts to shape how Ramp evolves Must-Haves - Enterprise change management — You've driven workflow adoption inside complex organizations, navigated real resistance from real stakeholders, and have measurable results to show for it. Finance or fintech context is a plus but not required. - AI fluency as a daily habit — You already use AI tools habitually in your work. You use them to prep for calls, synthesize information, build customer-facing materials, and automate repetitive tasks. This is how you work, not something you're exploring. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment. - Financial impact communication — You can walk a CFO through the business case for a workflow change, connect implementation milestones to P&L outcomes, and run executive updates in financial terms, not product terms. A finance background is not required — fluency is. - Technical acumen — You can hold your own in conversations with Product and Engineering on integrations, APIs, and workflow architecture. You don't need to code, but credibility in technical conversations is what earns you a seat at the table with the full customer stakeholder group. - 7+ years in enterprise customer success or implementations — You’ve spent enough time navigating complex organizations and senior stakeholders that it’s second nature. You know how to move an enterprise, not just support one. Nice-to-Haves - Agentic workflow experience — You've helped customers adopt AI-powered or agentic workflows at scale. You understand what friction looks like in practice and what makes transformation actually stick. - Finance domain depth — Exposure to FP&A, accounting software ecosystems (Netsuite, Sage, QuickBooks, Xero), expense management, or CFO-adjacent workflows. Accelerates credibility with Ramp's customer base. - Demonstrated commercial impact — You can point to expansion, retention, or time-to-value outcomes with specific metrics attached — not described in general terms. - Background at an AI-first or AI transformation company — not just a company that uses AI, but one where rethinking workflows around it was part of the product or culture - High-growth or startup experience (comfort operating in ambiguity and rapid change) - C-suite relationships built and maintained independently, without relying on a sales counterpart For candidates located in NYC or SF, the pay range for this role is $198,000- $271,000. For candidates located in all other locations, the pay range for this role is $178,000- $244,000. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats. We are particularly interested in candidates with deep expertise in either chemical defense or biodefense. You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm. Your specialized domain expertise will be critical to protecting against some of the most serious potential misuses of AI systems. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes You may be a good fit if you Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with threat actor profiling and utilizing threat intelligence frameworks Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership Strong candidates may also have Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information Background in AI safety, machine learning security, or technology abuse investigation Familiarity with synthetic biology, biotechnology, or dual-use research Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance 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 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA; San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Responsibilities Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices You may be a good fit if you Have demonstrated proficiency in SQL and Python for data analysis and threat detection Have experience with large language models and understanding of how AI technology could be misused for cyber threats Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence Have experience tracking threat actors across surface, deep, and dark web environments Can derive insights from large datasets to make key decisions and recommendations Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.) Have strong project management skills and ability to build processes from the ground up Possess excellent communication skills to collaborate with cross-functional teams and present to leadership Strong candidates may also have Experience working with government agencies or in regulated environments Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance 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: $230,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for research engineers to build the safety and oversight mechanisms that govern how our models handle biological knowledge. As a bio safety researcher, you will spend your time: designing and running capability evaluations against frontier models, generating and curating training data for our safety classifiers, training and iterating on those classifiers alongside our ML engineers, and measuring how they hold up against adversarial pressure in production traffic. This work sits at the intersection of applied ML and biosecurity. You will help define what responsible AI safety looks like in the biological domain, translating threat models into evals, datasets, and deployed systems. The core technical tension you will own is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and you will be the person measuring it. You do not need to be an ML researcher today. We are looking for strong scientific programmers with real depth in modern biology who want to bring that depth to bear on model evaluation and classifier development. Key responsibilities Design, build, and run capability evaluations to assess what new models can do in the biological domain, and turn results into concrete deployment recommendations Develop training and evaluation datasets for our safety classifiers, working with internal and external threat modeling experts to ground them in realistic risk Train, tune, and iterate on safety classifiers with ML engineers, optimizing jointly for adversarial robustness and low false-positive rates Build the tooling and pipelines that make evaluation and classifier development fast and repeatable Analyze classifier and eval performance against production traffic, identify gaps, and prioritize improvements Design and run red-teaming and stress-testing of safeguards as threats, models, and product surfaces evolve Partner with Research, Product, and Policy teams to embed biological safety throughout the model development lifecycle Contribute to external communications including model cards, blog posts, and policy documents Track developments in biology, ML, and biosecurity for their potential to create new risks or enable new mitigations Minimum qualifications Strong proficiency in Python, and extensive background in scientific programming and data analysis skills Excellent grasp of ML fundamentals and an ability to rapidly adopt ML development practices Excellent knowledge of modern biology across both measurement and engineering: high-throughput assays and functional characterization, as well as gene synthesis, genome editing, strain construction, and protein engineering Ability to build and maintain your own tooling rather than relying on others to implement your ideas Experience designing quantitative experiments or evaluations and drawing defensible conclusions from noisy results Strong analytical and writing skills, and the ability to explain technical concepts to non-technical stakeholders Familiarity with dual-use research concerns and biosecurity frameworks, such as select agent regulations, the Biological Weapons Convention, or Australia Group guidelines Comfort with ambiguity and with shifting priorities as AI capabilities change Can work independently while maintaining strong collaboration with cross-functional teams Are results-oriented, with a bias towards flexibility and impact Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration Preferred qualifications Experience working with large language models, including prompting, fine-tuning, or evaluation Experience training or deploying classifiers or other ML systems in production Experience developing ML methods for biological systems or biological data Familiarity with adversarial robustness, red-teaming, or safety evaluation of ML systems Have at least 8 years of hands-on experience in life sciences, with deep expertise in areas such as molecular biology, drug discovery, or computational biology Experience leading complex technical projects across multiple stakeholder groups The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Customer Success Manager at Harvey, you will own value realization for customers, helping to define the future of legal work at top enterprises and leading law firms. You’ll act as a trusted expert and guide customers through the process of integrating AI into the daily workflows of lawyers and other professionals. You will not only help customers to identify use cases for Harvey, but also help transform the practice of law. You’ll deeply integrate Harvey into your customers' business processes and workflows, build lasting relationships, and partner with Account Executives to renew and expand Harvey’s strategic partnerships. WHAT YOU’LL DO - Onboarding: Integrate Harvey into customer workflows, guide administrators with data-backed best practices, ensure optimal use of our AI solutions. - Training & Enablement: Champion the power of Harvey as you meet with end users and position Harvey as essential to strategic legal work. - Relationships: Navigate complex organizations as the primary contact, foster champions, engage executive buyers, and build loyal Harvey advocates. - Success Metrics: Align with customers on adoption rates, measurable value, and positive AI experiences to ensure customer value realization and ROI. - Expansion and Renewal: Collaborate with Account Executives to maintain customer renewal readiness and leverage customer needs to drive expansions. - Product Feedback: Represent customer needs internally and relay insights back to Product and Engineering, continuously improving the Harvey platform WHAT YOU HAVE Ideal candidates for the Enterprise CSM role at Harvey can demonstrate comfort and experience with the following qualifications: - 3-4+ years in customer-owning roles at tech or SaaS platforms - Fluent in Arabic - Adapting seamlessly in the face of high-speed change and growth - Strategic planning, revenue-based prioritization - Managing customer-facing projects and timelines - Running in-person meetings w/ executives - Mapping an organization and influencing stakeholders - Driving key customer metrics and outcomes - Owning a revenue, expansion, and renewal target - Demonstrating a strong point of view and proactive self-management - Working cross-functionally with Product and Sales teams DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Ukraine We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements BSc in Computer Science, Mathematics, or related field. 5+ years of professional experience working on AI/ML projects. Good command of English (written and spoken). Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications Knowledge of C++ or C# for performance-critical modules. Experience deploying models via Docker, Kubernetes, or cloud AI services. Exposure to vector databases and RAG workflows. Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. Familiarity with modern data lake architectures and scalable data storage concepts.

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 Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We're the platform team for Anthropic's flagship consumer product, responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that lets every product team at Anthropic ship into claude.ai safely and fast. When the product grows at hyper scale, we're the team that makes sure it feels the same or better. Beyond the foundation, we're building the agentic layer that turns claude.ai from a chat surface into an execution surface: task execution, personalization, browser use, and server-side tools. This is where the next generation of the product gets built: the primitives that let Claude act in the world, not just respond. We believe reliability and velocity are the same problem, and our job is to build the systems that make both inevitable. Key responsibilities Design and build sandboxed compute environments where Claude can safely execute code, access tools, and interact with external services Build state management systems for long-running agent tasks, handling checkpoints, recovery, and resumption across failures Develop authentication and authorization frameworks for delegated access, so Claude can act on behalf of users securely Create observability and debugging tools for agent execution, so we understand what Claude did, why, and how to make it better Partner closely with product and research teams to define what's possible and ship it Minimum qualifications Experience building distributed systems, infrastructure, or platform services at scale Comfort building cloud native infrastructure on GCP, AWS, or Azure Experience with containers, sandboxing, or secure execution environments (e.g., gVisor, Firecracker, V8 isolates) Write clean, maintainable code in Python, Go, Rust, or a similar language Care about security, isolation, and building systems that fail safely Preferred qualifications Comfort with ambiguity and greenfield work where you help shape the architecture Interest in problems that don't have existing playbooks Experience building multi-tenant execution platforms or serverless infrastructure Background in security engineering, sandboxing, or isolation technologies Familiarity with workflow orchestration systems (Temporal, Airflow, Step Functions) Experience with state machines, checkpointing, or durable execution patterns Low-level systems experience (Linux internals, eBPF, container runtimes) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore About the Job: We’re looking for a strategic, customer-focused sales professional to help expand our Mid-Market Account Executive team at LaunchDarkly. In this role, you'll own the sales cycle—partnering with sales leadership, solutions engineers, and cross-functional teams to guide mid-market organizations through evaluation, purchase, and adoption of LaunchDarkly. If you thrive in a fast-paced, consultative sales environment, have a track record of closing mid-market deals, and are eager to make an impact, we want you on our team. This is a fantastic chance to join a fast-growing company and make a real impact. Responsibilities: Strategic Pipeline Development: Proactively generate and manage outbound pipeline opportunities within accounts of up to 2,000 employees. Ownership & Relationship Management: Build and nurture strong relationships with mid-market accounts, serving as their primary point of contact. Territory & Account Planning: Develop and execute strategic plans to maximize growth and customer engagement within your territory. Customer Success & Adoption: Drive successful adoption of LaunchDarkly by leveraging account management best practices and collaborating with pre- and post-sales engineering, customer success, and support teams. Executive Engagement: Effectively communicate LaunchDarkly’s value proposition to key stakeholders, including VP- and C-suite executives, to elevate brand awareness and drive decision-making. Solution-Oriented Sales Approach: Collaborate closely with your Solutions Engineer to provide strategic business and technical insights that directly align with customer objectives, driving value and long-term success. Cross-functional Collaboration: Work closely with internal teams—including customer success, support, marketing, and revenue operations—to ensure customer needs are met efficiently. Accurate Forecasting & Reporting: Maintain high forecasting accuracy and consistency to support business growth and predictability. About You: Proven Sales Success: A strong track record in mid-market software sales, consistently closing five- to six-figure deals. Self-Starter Mentality: Entrepreneurial, highly motivated, and driven to take initiative. Growth-Oriented: Passionate about learning, evolving, and building a successful career at LaunchDarkly. Curious & Ambitious: Intellectually curious, eager to solve challenges, and motivated to exceed goals. Exceptional Communicator: Outstanding written and verbal communication skills, with the ability to engage and influence key stakeholders. Highly Organized & Independent: Skilled at managing multiple priorities with autonomy and efficiency. Thrives in a Fast-Paced Environment: Energized by working in a dynamic, rapidly growing organization. Qualifications: Proven Sales Experience: 3+ years of proven success in a closing role at a SaaS company, consistently exceeding targets and earning recognition such as President’s Club or equivalent top-performer awards. Consultative Selling Expertise: Ability to navigate and manage complex sales cycles with a value-driven approach. Land & Expand Strategy: Strong track record of successfully expanding accounts across business units. Industry Knowledge: Deep understanding of selling to mid-market companies Sales Methodologies: Experience with MEDDPICC and Command of the Message frameworks for effective deal qualification and communication. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Обязанности: — Составлять понимание задачи и согласовывать его с командой. — Определять свой план работы, дедлайны и нести за это ответственность. — Задавать вопросы в процессе работы: «Зачем я это делаю?», «Какая от этого польза бизнесу заказчика?». — Проектировать и реализовывать бизнес-логику, учитывая доменную модель (DDD). — Писать тесты на свою работу: проверять бизнес-правила, граничные кейсы и критичные сценарии. — Проверять свою работу и сдавать результат команде и заказчику. Требования: — Опыт разработки от 5 лет. — Уверенное владение Node.js, TypeScript. — Понимание принципов DDD (Domain-Driven Design). — Опыт написания тестов и понимание их роли в продукте (критически важно). — Способность погружаться в бизнес-логику, а не просто "делать по ТЗ". Условия: — Работа в офисе в Санкт-Петербурге (м. Балтийская) или гибридный формат. — Оплачиваем курсы и конференции. — Возможность предлагать свои проекты. — Отсутствие скучных задач и бесконечной рутины.

Location: Paris, France 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. À propos du poste Rejoignez l'équipe Customer Success d'Anthropic en tant que Customer Success Manager basé(e) dans la région EMEA, alors que nous façonnons l'avenir de l'adoption de l'IA en entreprise. En tant que Customer Success Manager chez Anthropic, vous serez partenaire stratégique et conseiller de confiance de nos clients les plus complexes dans la zone EMEA, les aidant à exploiter pleinement le potentiel de toutes nos fonctionnalités Claude : API, Claude for Enterprise et Claude Code. Vous développerez de véritables partenariats avec les clients, acquérant une compréhension approfondie de leurs objectifs commerciaux, de leur orientation stratégique, de leur vision en IA et de leurs besoins techniques. Vous ferez appel à la fois à votre sens des affaires et à votre expertise technique pour agir comme conseiller stratégique tout au long de leur parcours chez nous. En partenariat avec l'ensemble de l'équipe chargée des comptes, vous aiderez les clients à identifier les fonctionnalités Claude les mieux adaptées à leurs objectifs commerciaux spécifiques, en travaillant en étroite collaboration avec eux pour leur fournir les meilleures pratiques et des conseils, tout en les aidant dans la croissance et l'évolution de leur utilisation (consommation et base) sur le siège. Votre rôle consiste à aider les clients à adapter efficacement leur utilisation, à mettre en œuvre des stratégies de gestion du changement, à optimiser les cas d'utilisation et à maximiser la valeur de leur investissement en élargissant les cas d'utilisation à l'ensemble de leur organisation. Les informations que vous recueillerez auprès de vos clients serviront directement à définir nos priorités en matière de recherche, de développement et de stratégies de commercialisation, vous permettant de jouer un rôle clé dans la manière dont nous créons et fournissons de la valeur en continu en tant qu'entreprise. En tant que l'un de nos premiers CSM dans la région EMEA, vous serez une pionnière en aidant à mettre en place des processus régionaux, à établir de nouvelles relations avec les clients et en représentant la marque Anthropic dans un marché en forte croissance. Vous travaillerez avec une grande autonomie tout en maintenant un alignement fort avec les équipes mondiales, ce qui requiert une personne qui s'épanouit dans des environnements ambigus et peut travailler efficacement dans différents fuseaux horaires. Responsabilités : Établir des relations de confiance et stratégiques avec les décideurs clés des clients EMEA afin de comprendre leurs activités et leurs objectifs, en identifiant des opportunités d'optimisation et d'expansion Devenir expert des produits Anthropic via API, Claude for Enterprise et Claude Code, en comprenant les nuances techniques et les meilleures pratiques de chacun afin d'orienter les clients vers les bonnes solutions Tirer parti de votre connaissance approfondie du client et des spécificités régionales pour piloter de manière proactive la planification de l'utilisation, en cernant les tendances actuelles et futures en matière de consommation et d'adoption, ainsi que la manière dont celles-ci se traduisent en valeur ajoutée pour le client Surveiller les schémas d'utilisation et identifiez les opportunités d'optimisation, en traitant de manière proactive la sous-utilisation des produits basés sur la consommation (API) et par abonnement (Claude for Enterprise / Claude Code) pour tirer pleinement parti des engagements contractuels Jouer le rôle de partenaire stratégique auprès des clients, en enrichissant leur connaissance des produits Claude grâce à la diffusion de la feuille de route des produits d'Anthropic, en faisant connaître les nouveaux produits et en impliquant les chefs de produit pour qu'ils se fassent le porte-parole des clients de la région EMEA Documenter et quantifier la valeur client réalisée grâce aux résultats commerciaux, au ROI et aux indicateurs d'impact afin de constituer des arguments commerciaux internes convaincants en vue de poursuivre et d'accroître les investissements Identifier les cas d'utilisation potentiels et les secteurs d'activité qui ne sont pas encore exploités, en collaborant avec les clients pour découvrir de nouvelles applications pour Claude au sein des différents services, équipes et flux de travail Élaborer et mettre en œuvre des stratégies de gestion du changement pour favoriser l'adoption par les utilisateurs finaux et maximiser la valeur au sein des organisations clientes, y compris des programmes de formation des formateurs, le développement de centres d'excellence et l'accompagnement organisationnel Gérer l'expérience client tout au long de son cycle de vie : gérer des comptes complets et des plans de réussite fondés sur les objectifs commerciaux du client, réaliser des bilans commerciaux trimestriels et servir de principal intermédiaire entre le client et Anthropic Contribuer au développement de la marque Anthropic et des relations avec la clientèle en tant que membre de la première équipe de service client de la région, en élaborant, si nécessaire, des processus, des guides opérationnels et des bonnes pratiques adaptés à la zone EMEA et tenant compte des cultures d'entreprise régionales Profil recherché : Vous avez plus de 6 ans d'expérience dans des fonctions en contact avec la clientèle (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer ou similaire) Expérience avérée en matière de réussite dans les modèles commerciaux basés sur la consommation et sur la location de places, avec une bonne compréhension des différents leviers de croissance et des indicateurs de performance associés Maîtrise technique et capacité à comprendre et à articuler les concepts d'IA/ML, les intégrations d'API et les modèles de mise en œuvre logicielle Expérience dans la présentation et la démonstration de produits techniques auprès de publics variés Mentalité stratégique pour identifier les opportunités de croissance et les traduire en plans d'expansion concrets Collaborateur polyvalent qui représente le client avec positivité et proactivité, en mobilisant l'ensemble de l'équipe autour de solutions permettant de répondre aux besoins du client Solides compétences en gestion de projet et capacité à gérer plusieurs relations clients Passion pour l'IA et intérêt pour le développement responsable de systèmes avancés Acquérir de l'expérience en travaillant et en contribuant au développement d'une région en pleine croissance, tout en jonglant avec les fuseaux horaires depuis le siège social situé aux États-Unis Un talent pour mettre de l'ordre dans le chaos et une mentalité enthousiaste de « retrousser ses manches ». Vous avez l'esprit d'équipe (Bonus) Maîtrise du français, de l'allemand, de l'espagnol ou de l'italien About the role Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their 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 (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, 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. As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products 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 as the voice of EMEA customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows 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 Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures You may be a good fit if you have: 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strong Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality. You are a true team player Fluency in French, Spanish and English 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: €150.000 — €190.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY Workplace: OnSite ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. ABOUT THE TEAM The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain’s next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat. WHAT YOU’LL DO - Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis - Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring - Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams - Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback) - Build robust monitoring and alerting for model performance, latency, data quality, and drift - Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases - Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle - Partner with platform teams to meet strict SLAs for availability, latency, and accuracy - Collaborate closely with talented engineers, data scientist and compliance teams across Rain - Work in a fast-paced environment on a rapidly growing product suite - Solve complex problems at the intersection of ML systems, data, and reliability WHAT WE'RE LOOKING FOR - 5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains - A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field - Proven track record designing and maintaining ML models at scale - Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) - Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling - Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems - Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques - Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale NICE TO HAVE, BUT NOT MANDATORY - Domain expertise in banking, payments, or transaction monitoring - Experience with graph-based or network-level fraud detection techniques - A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field - Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science) - Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts THINGS THAT ENABLE A FULFILLING, HEALTHY, AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for a Software Engineer to join the team building Claude Security. In this role, you'll take new security capabilities in frontier models and turn them into products that customers can rely on, working across the full stack from early prototype through production. This role sits close to both research and go-to-market. You'll work with researchers on the team to understand what the models can do and where they fall short, and with customers and partners to understand which problems are worth solving for them. You'll be expected to form your own view from both and to own significant pieces of the roadmap, including deciding what not to pursue. The right candidate is a strong generalist engineer with the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Prior security experience is useful but not required; range across the stack and good judgment about what to build matter more. Responsibilities Build and ship user-facing and/or backend features for Claude Security Build the agent loops, tool integrations, and enabling infrastructure for cybersecurity products Collaborate tightly with product managers and go-to-market to understand user needs, shape feature scope, and make informed tradeoffs as you build Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis Collaborate with research teams to identify and develop new model capabilities for security applications You may be a good fit if you: Contribute across the stack, from front-end UI to back-end infrastructure Are proficient in TypeScript, Python, and/or Go and have experience building distributed systems Enjoy fast iteration and are energized by prototyping new ideas Are comfortable working closely with research and go-to-market teams Have strong communication skills and can work effectively across functions Have 7+ years of experience as a software engineer Strong candidates may also have: Experience building client-side terminal applications Experience developing cybersecurity products Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields Experience building skills, plugins, or hooks in Claude Code or similar tools Experience building with Claude Managed Agents or similar frameworks 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.