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Location: Spain; Portugal; Poland; Bulgaria; Slovakia; Italy Who we are: Action1 reinvents patching with an infinitely scalable, highly secure, cloud-native platform configurable in 5 minutes — it just works and is always free for the first 200 endpoints, with no functional limits. Featuring unified OS and third-party patching with peer-to-peer patch distribution and real-time vulnerability assessment with no VPN needed, it enables autonomous endpoint management that preempts ransomware and security risks, all while eliminating costly routine labor. Trusted by thousands of enterprises managing millions of endpoints globally, Action1 is certified for SOC 2 and ISO 27001. The company is founder-led by industry veterans Alex Vovk and Mike Walters, who founded Netwrix, which has grown into a multi-billion-dollar industry-leading cybersecurity company. Introduction: We're currently seeking a Technical Support Engineer Tier I to provide exceptional support and customer service to Action1 clients. What you'll do: Provide timely, efficient technical support with prompt responses to customer inquiries. Troubleshoot and resolve customer issues via phone and other communication channels. Follow up with customers post-troubleshooting to ensure full product functionality. Collaborate with the engineering team to address complex technical challenges. Work closely with the product team, incorporating customer feedback into product improvements. Build and maintain an internal knowledge base with useful guides and solutions. Continuously refine and enhance the customer support process for better efficiency. Reproduce customer-reported issues and escalate confirmed problems to the appropriate teams. Participate in customer meetings when needed to troubleshoot and resolve issues directly. Requirements What we're looking for: Have strong expertise in Microsoft Windows operating systems. Ability to identify and troubleshoot failed patch installations. Be familiar with PowerShell scripting and able to understand basic scripts. Proficiency in Mac OS and/or Linux platforms. Demonstrate knowledge of software deployment and configuration using install switches. Be skilled in reading, writing, modifying, and backing up the Windows registry. Have previous experience in technical support or customer service roles. Possess excellent problem-solving and communication skills, working effectively with customers and internal teams. Have solid experience troubleshooting software issues across various environments. Advanced English proficiency (C1–C2 level) is required Would be a plus: Experience with patch management solutions. Ability to analyze and interpret logs and event data. Knowledge of Windows Group Policy configuration and management. Familiarity with Windows servers and server management. A basic understanding of the Windows Security model and related protocols. Additional languages would be a plus, particularly Spanish and French Benefits What we offer: Engaging challenges and opportunities to solve real-world problems. Continuous professional growth and learning with cutting-edge technologies. A stable income, flexible working hours, and opportunities for advancement. A supportive and collaborative team of skilled professionals. A remote-first culture, offering flexibility and work-life balance. Join Action1 and be a driving force behind our success!

Location: Serbia; Spain; Budva, Montenegro; Portugal; Poland Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. We are looking for a Dev Manager to lead the engineering team responsible for Executive Reporting. You will combine engineering leadership with hands-on technical expertise to help customers understand patching and vulnerability trends over time through reliable reports and dashboards. What you'll do: Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback. Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority trade-offs visible. Work with Product Management and the EVP to define priorities and translate customer needs into executive reporting capabilities. Oversee the design, development, and operation of reporting capabilities, including: - Historical reporting on patches and vulnerabilities. - The Enterprise Reports Engine and reusable report execution capabilities. - Dashboard services for presenting trends and status to decision-makers. - Data aggregation and consistent calculation of reporting metrics. - Report generation, scheduling, and export workflows. Guide technical decisions within the assigned domain, from solution design through development and production rollout, while coordinating cross-cutting architecture and security decisions with their designated owners. Establish clear definitions for metrics, reporting periods, data freshness, and missing data so customers can interpret results accurately. Coordinate with Product Value and core engineering teams on source data, reporting content, access controls, and shared infrastructure. Own automated pipelines for building, testing, validating, and deploying reporting services. Improve reporting accuracy, query performance, reliability, and observability as customer data volumes grow. Apply AI technologies where they improve reporting development, validation, or interpretation. Requirements What we're looking for: Experience leading software engineers and owning the delivery and operation of production systems. Strong software engineering fundamentals and the ability to contribute to technical problem-solving. Excellent knowledge of Node.js, JavaScript, and TypeScript. Experience building and operating AWS services in production. Hands-on experience with reporting platforms, analytics services, or data-intensive applications. Proficiency in SQL and experience with data modeling, aggregation, and query performance. Understanding of historical data, metric consistency, and data-quality validation. Strong communication skills and the ability to align engineering work with product priorities. Professional working proficiency in English for leading an English-speaking team and collaborating across functions. Nice to have: Experience writing automated tests for data pipelines, reporting calculations, and report generation. Experience with dashboard engines, scheduled reporting, and large data exports. Experience with patch management or vulnerability reporting. Experience with runtime isolation and sandboxing for sensitive execution. Experience in B2B SaaS, security, compliance, or data governance. Experience building high-load products that support large numbers of endpoints. Benefits Fully remote work with flexibility to support your work-life balance. A collaborative environment that empowers you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for career advancement. Friendly, professional colleagues who are eager to support you and help you grow. Engaging challenges and opportunities to make a meaningful impact.

Location: United Kingdom; Spain; Netherlands; Switzerland; France; Italy Step into a role where science meets strategy and your expertise shapes the future of drug development. As a Director, Pharmacometrician, you’ll lead high-impact modeling and simulation efforts within a dynamic Clinical Pharmacology, Modeling and Simulation (CPMS) environment. You’ll guide teams, mentor pharmacometricians, and provide strategic insight to clients at key development milestones. This role also offers the opportunity to represent clients in interactions with regulatory agencies. If you thrive on collaboration and solving complex scientific challenges, this is your chance to make a meaningful impact. About the role This role combines scientific leadership and strategic impact, leading population PK analyses while developing innovative approaches to improve efficiency and accuracy. You will design, analyze, and interpret clinical pharmacology studies, provide strategic guidance to clients, and contribute to regulatory documents and agency interactions. In addition, you’ll foster client relationships, support business development, and stay at the forefront of PK/PD advancements to drive continuous improvement. Your main responsibilities will include but not limited to: Lead and conduct population PK analyses using advanced modeling tools and methodologies Develop and implement innovative approaches to enhance the efficiency and accuracy of PK analysis Design, analyze, and interpret clinical pharmacology studies (renal, hepatic, TQT, ADME, DDI, BE/BA, SAD, MAD, etc.) and provide guidance to optimize pharmacokinetic sampling and dosing strategies Provide strategic guidance to clients, owning deliverables and developing clinical pharmacology plans Author and review PK reports and clinical pharmacology sections of regulatory documents Represent clients in regulatory interactions and contribute to business development and relationship management Requirements About You If you are a driven clinical pharmacology professional with 6–10 years of experience in drug development and pharmacometrics and you bring sharp analytical thinking and expertise in tools like NONMEM, Pirana, and R to deliver high-impact insights while being client-focused and a natural leader who thrives in fast-paced environments, combining strategic thinking, strong communication, and business acumen to build relationships and drive results, this role is for you. To be successful we are looking for the following traits and behaviors: Life science, healthcare and/or business degree Minimum 10 years of relevant work experience, including experience in drug development, clinical pharmacology, and pharmacometrics Regulatory experience including regulatory report writing essential. Experience with regulatory submissions including INDs, CTAs, regulatory meetings and NDA/BLA/MAA submissions Proficiency in NONMEM, Pirana, and R software preferred Excellent organizational, negotiating and financial skills Benefits About Allucent Our mission is to help bring new therapies to light. When you work at Allucent, that means rolling up your sleeves and applying your unique skill set, expertise, and knowledge to build partnerships with our clients in their pursuit to develop new, life-improving treatments. If you're passionate about helping customers develop new pharmaceuticals and biologics; have an entrepreneurial spirit; and ready to join other science, business, and operations leaders, we would love to get to learn more about how we can help each other grow. Together we SHINE. Find more information about our values. Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Opportunity for remote/hybrid* working depending on location Leadership and mentoring opportunities Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Access to online soft-skills and technical training via internal platforms Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Apply now! If you are interested in this role please apply through the button or for more information reach out to Demetria Eggleston at Demetria.eggleston@allucent.com Salary: United Kingdom: £82,000K-111,000K Disclaimers: *Our policy encourages a dynamic work environment, prescribing a minimum of 2 days in office per week for employees within a reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-Remote #LI-Hybrid #LI-DE

Location: Lagos, Nigeria Who We Are We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role Are you inherently curious about our customers? Do you constantly ask “why” behind the data? The Market Intelligence & Insights team is expanding, and we are looking for a highly analytical and customer-obsessed team member to join us as a Market Intelligence & Insights Analyst. In this role, you will work directly with the MI&I Manager to uncover the trends, behaviors, and competitive forces shaping the Nigerian fintech landscape. No prior formal market research experience is required. We will teach you the methodologies, tools, and science of research. What you need to bring is a deep understanding of the business, a passion for solving problems, and an eagerness to learn both quantitative (numbers-driven) and qualitative (people-driven) research. What You Will Do • Assist in the design, scripting, and deployment of customer surveys to measure satisfaction, product usage, and market trends • Help organize and eventually conduct customer interviews, focus groups, and usability tests to understand the “why” behind customer behaviors • Learn to analyze raw data, including survey results and internal metrics, to identify patterns and translate them into actionable insights • Monitor the Nigerian lending and fintech landscape to track competitor products, campaigns, and market positioning • Co-create visually engaging and easy-to-understand reports and presentations for cross-functional teams including Product, Marketing, and Management • Support end-to-end research projects that influence business decisions and strategy Requirements What You Bring Experience & Background • Experience in Customer Experience, Data Analytics, Product, Operations, or related areas is an advantage • Strong understanding of the company’s products, customer base, and operations • No prior formal market research experience is required Skills & Competencies • Insatiable curiosity and a strong desire to understand customer behaviour and market trends • Analytical empathy with the ability to connect data to real customer experiences • Strong written and verbal communication skills with the ability to simplify complex ideas • Strong business acumen and problem-solving ability • High attention to detail and strong organizational skills • Comfortable with basic data manipulation tools such as Excel or Google Sheets • Eagerness to learn quantitative and qualitative research methodologies This Role Is Ideal for You If: • You enjoy asking questions and uncovering insights behind customer behaviour • You are analytical but also customer-focused • You enjoy learning and developing new strategic skills • You are excited about influencing business decisions through research and insights You May Not Enjoy This Role If: • You prefer routine work without exploration or analysis • You struggle with interpreting data or identifying patterns • You are uncomfortable communicating insights or presenting findings • You are not interested in understanding customer behaviour or market dynamics Benefits What’s In It For You: • Opportunity to transition into a strategic, insight-driven role within the business • Hands-on mentorship and exposure to market research methodologies • Opportunity to build highly valuable skills in consumer psychology, data analysis, and market strategy • Exposure to cross-functional teams and business decision-making processes • The chance to directly influence future products, campaigns, and customer experience initiatives • Competitive compensation and growth opportunities within a fast-paced fintech environment

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Director, Social Media, you'll lead GitLab's global social media strategy and help people understand how GitLab is co-creating the future of software development. The role shapes how GitLab shows up across social channels, connecting our company, product, and employer stories, to build meaningful engagement with customers, users, contributors, candidates, and industry audiences. Expect to set clear priorities, guide execution, and use insights to strengthen GitLab's voice and business impact. You'll own the outcomes of GitLab's social function — strategy, budget, team development, tooling, and results — and serve as GitLab's senior-most voice on social strategy with executive stakeholders. This is a player-coach role. You'll set the strategy and stay close enough to the work to write, build, and ship alongside the team. Two Social Media Managers report to the head of corporate communication and work with you on a dotted-line basis. You'll set their strategic direction, raise the editorial and craft bar, and develop them as practitioners, including goal-setting, feedback, and career development in partnership with their manager. Influence matters in this role, which is why it calls for someone who has already led and grown social practitioners. What you’ll do Own the performance of GitLab's social function and its contribution to marketing and business goals. Lead GitLab's global organic social media strategy, channel plans, and editorial priorities. Own GitLab's YouTube strategy end to end — channel architecture, programming and series development, long- and short-form video, packaging (titles, thumbnails, metadata), search and recommendation optimization, and subscriber and watch-time growth. Partner with Growth Marketing on paid social, including briefing creative, aligning organic and paid on shared audiences and messaging, informing boosting and amplification decisions, and connecting paid performance back to organic strategy. Develop clear, audience-focused campaigns that support company, product, brand, and talent goals. Guide content planning and publishing across social channels while maintaining a consistent GitLab voice. Own the social media budget, tooling stack, and agency, freelance, and production partner relationships. Partner with teams across Marketing, Communications, Product, Sales, Talent Acquisition, and other functions to plan and deliver social programs. Build processes that support effective collaboration in GitLab's all-remote, asynchronous environment. Use social listening, audience insights, and performance data to improve content and inform broader marketing decisions. Lead the measurement framework for social — KPIs, dashboards, and reporting cadence — and report performance and learnings to marketing and executive leadership. Partner with DevRel on community engagement to help GitLab participate in relevant industry conversations with a clear, useful point of view. Build and run creator, influencer, and advocacy programs, including developer creators, GitLab community contributors, and team member advocacy. Own GitLab's employee advocacy program — grow participation across Marketing, Sales, Engineering, and Talent, equip team members with content worth sharing, and measure reach, engagement, and contribution to brand and talent goals. Partner with Communications and Talent Acquisition on enablement, and manage the advocacy platform and its adoption. Support executive and expert social presence, partnering with Communications to help GitLab leaders and technical experts show up credibly on social, including constructive conversations with C-suite executives about proposed content. Apply AI tools thoughtfully across the social workflow to help GitLab model what an AI-native marketing team looks like. Prepare for and guide responses to sensitive or fast-moving issues in partnership with the appropriate teams. What you’ll bring 10+ years in social media, including at least 5 years leading social strategy for a global brand at the senior manager level or above, and accountable for the function's results. Experience owning a social function end to end, including strategy, budget, headcount, tooling, and results as the accountable leader. Experience leading teams, agencies, and cross-functional programs, with clear ownership of and accountability for outcomes. Depth in YouTube strategy, including owning and growing a brand or business channel, and can speak to programming decisions, video formats, packaging, and the metrics that actually move a channel. Hands-on experience growing LinkedIn and X as primary channels, with judgment about what content, format, and cadence work on each. Experience with paid social programs and how organic and paid social reinforce each other, including creative for paid, audience strategy, and interpreting paid performance data. Experience connecting social media programs to broader brand, communications, product, or business priorities. Strong editorial judgment and the ability to turn complex topics into clear, engaging content. Fluency with short-form and long-form video as core social formats, including working with production partners and creators. Experience defining a measurement framework for social, including KPIs, dashboards, and reporting cadence, and presenting performance, learnings, and recommendations to executive leadership on a standing basis. Experience building or scaling an employee advocacy program, including driving adoption across multiple functions, sustaining participation beyond launch, and reporting attributed reach and business contribution Fluency with an enterprise social stack for publishing, listening, and advocacy. Ours is Sprout Social, Meltwater, and EveryoneSocial. Experience running social programs across multiple regions and languages, and judgment about what to localize versus centralize. Skill in managing multiple priorities and making sound decisions in fast-moving situations. A collaborative, inclusive approach and the ability to work effectively in a distributed, asynchronous environment. Passion about GitLab's mission and the future of software development, open source, artificial intelligence, and DevSecOps. About the team This role is part of GitLab's Marketing organization and works across teams to present a clear, consistent company voice on social media. The team collaborates asynchronously with partners across regions and functions, balancing planned campaigns with timely engagement. Together, you'll help audiences understand GitLab's platform, mission, values, and impact. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting 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: The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond. We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent. Responsibilities: Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently Have implemented A/B testing frameworks and experimentation infrastructure for ML systems Are results-oriented, with a bias towards reliability and impact in safety-critical systems Enjoy collaborating with researchers and translating cutting-edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may also have experience with: Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Working with large language models and modern transformer architectures Developing monitoring and alerting systems for ML model performance and data drift Experience in trust & safety, fraud prevention, or content moderation domains Knowledge of privacy-preserving ML techniques and compliance requirements 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. 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: The Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services sit on the token generation path across every platform Claude runs on: every request must pass through them, and each millisecond of added latency is wait time for our users. You’ll keep p99 latency flat as traffic grows, build for robustness as dependencies time out or partially fail, and ship changes safely to a system that cannot go down. What you'll do: Design, build, and operate the backend systems that process every token on the generation path for Claude requests, including the streaming contract with the API and inference engines. Own latency and reliability end to end: define and maintain SLOs and error budgets for added latency, time-to-first-token, and availability, and lead incident response and postmortem follow-through. Ship changes to the hot path rapidly but safely — canaried and gradual rollouts, error budget and latency gating, fast rollbacks — and drive per-token performance: chase tail latency and keep cost flat as traffic, models, and checks per request grow. Set technical direction for the sampling path: lead design reviews, make latency, reliability, and cost trade-off calls with the inference and research teams, mentor engineers, and raise the operational bar for the wider Safeguards organization. You may be a good fit if you: Have designed, built, and operated high QPS systems at global scale, and were accountable for them in production: incident response, outages, and postmortem-driven remediation. Have a strong foundation in distributed systems: replication, consistency tradeoffs, failure modes, and SLO management under load. Design systems for graceful degradation: you plan for a slow dependency, a dropped stream, or a half-rolled-out deploy before it happens, and build so the system degrades predictably instead of failing. Have successfully shipped broad or all-encompassing changes to mission critical systems (e.g., database migrations, interface changes, rewrites). Strong candidates may also have: 8+ years of industry software engineering experience. Familiarity with LLM inference systems and transformer-based models (not required, but a plus). 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol, Cyprus; Paphos, Cyprus; Prague, Czech Republic JetBrains is a well-known international software development company. Ever since we started, back in 2000, we’ve strived to make the strongest, most effective developer tools on earth. Our products are trusted by more than 15 million users worldwide, and 88 Fortune Global 100 companies are our customers. While we’re best known in the developer community, JetBrains is home to over 2,500 internationally minded professionals working in offices across Europe, the US, the Middle East, and Asia. If you’re passionate about doing meaningful work, making a tangible impact, and embracing a collaborative culture that favors continuous improvement, you’ll find your place here. We’re looking for an experienced Finance Business Partner with a global mindset to join our FP&A team. In this role, you will act as a trusted advisor to business leaders, supporting strategic decision-making through insightful analysis, financial planning, and performance management. You will work closely with stakeholders from various departments to ensure that financial insights translate into actionable business outcomes. If you thrive in a dynamic environment, welcome change, and enjoy combining analytical depth with business acumen, we’d love to hear from you. This is a 2-year fixed-term maternity cover position. In this role, you will be responsible for: Business Partnering & Decision Support Partner with leaders across functional and corporate departments (e.g., Sales, Marketing, HR, G&A) to bring a financial perspective to planning, investments, and operational decisions. Act as a trusted advisor, challenging assumptions and ensuring decisions are grounded in financial and business impact. Foster financial awareness across non-financial stakeholders, helping them understand cost drivers, trade-offs, and financial implications of their decisions. Planning & Performance Management Lead budgeting, forecasting, and reforecasting processes for your areas, ensuring assumptions are robust and aligned with company priorities. Monitor and analyze actual performance vs. plan, identifying key drivers, variances, risks, and opportunities. Drive cost management and resource allocation discussions to support efficient scaling of functions. Analysis & Reporting Prepare, analyze, and interpret financial and operational data, including both financial and headcount-related metrics. Investigate monthly variances at both company and department levels, ensuring transparency and clear explanations of performance. Deliver clear, structured, and insightful reporting and presentations for senior management. Handle ad hoc analyses and provide data-driven insights to support decision-making. Data Ownership & Financial Integrity Ensure accuracy, consistency, and integrity of financial data, including alignment between planning, reporting, and actuals. Coordinate and validate inputs such as cost distributions, and headcount planning. Collaborate closely with Accounting, Controlling, and Data teams to maintain high-quality management reporting. Tools, Processes & Continuous Improvement Own and improve financial models, forecasting methodologies, and reporting tools. Contribute to the development and automation of dashboards and reports (e.g., in Excel, Power BI, or similar tools). Drive process improvements to increase efficiency, scalability, and transparency in FP&A processes. You’ll be successful in this role if you have: Proven experience as a Finance Business Partner, Financial Analyst, or similar FP&A role in a multinational or fast-growing company; Strong knowledge of financial planning, budgeting, and performance management processes; Excellent analytical and problem-solving skills, with the ability to translate data into insights that drive business action; High proficiency in Excel and experience with FP&A tools and BI platforms (e.g., Tableau, Power BI, BOARD, or similar); Strong business acumen and the ability to engage confidently with technical and product stakeholders; Excellent communication and collaboration skills, especially when simplifying complex financial topics for non-financial audiences; A proactive mindset, attention to detail, and the ability to manage multiple priorities in a dynamic environment. Fluency in English, both written and verbal. At JetBrains, we believe great software is built by great people – and great decisions are powered by great data. As a Finance Business Partner, you’ll have the opportunity to shape the way we plan, analyze, and steer our business. You’ll collaborate closely with leaders across departments, combining analytical depth with strategic thinking to ensure our financial foundation supports innovation and excellence. Join us to shape how financial insights guide the future of JetBrains. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family. Learning and development opportunities. Access to conferences, courses, and language classes. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-HYBRID #LI-YY1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: United Kingdom; Brazil; Ireland; Cyprus; Portugal; Canada; Poland Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   THE OPPORTUNITY - Build operating rhythms, reviews, and forums that keep the Pro org aligned and focused on priorities. - Lead and deliver cross-functional projects that don’t fit neatly into a single team but are critical to Pro’s success. - Support leadership in decision-making by framing issues, tracking KPIs, and surfacing gaps or risks early. - Maintain systems for reporting, business reviews, roadmap coordination, and cross-team initiatives. - Partner with leadership to scope and stand up new initiatives in Spot, Margin, Derivatives, or Infrastructure — from early concept through initial execution. - Contribute to high-impact materials (exec updates, all-hands, strategic memos) that provide clarity and visibility. - Act as the first line of intake for inbound requests, triage them effectively, and ensure accountability for follow-through. - Identify bottlenecks in how we operate and propose improvements that help the team scale more efficiently. - Use business intelligence and data to support PMs and leadership across Pro, cutting through competing priorities and surface the best opportunities. - Partner with Compliance and Legal teams to find ways to improve product experience.     WHAT YOU BRING - 5–7 years in BizOps, Product Ops, Strategy, Consulting, or similar high-leverage roles with measurable impact. - Strong project management skills — you can bring structure to ambiguity and drive initiatives from 0 → 1. - Comfortable with data: you can interpret dashboards, KPIs, and financial/operational metrics to drive insight. - Excellent communicator who can adapt across audiences — from execs to cross-functional ICs. - Highly organized, detail-driven, and biased toward follow-through and execution. - Self-starter who doesn’t wait for instructions — you create the roadmap when one doesn’t exist. - Experience collaborating across product, engineering, compliance, legal, finance, and marketing. - Belief in Kraken’s mission to accelerate financial freedom and inclusion through crypto.         Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.     THE OPPORTUNITY - Build operating rhythms, reviews, and forums that keep the Pro org aligned and focused on priorities. - Lead and deliver cross-functional projects that don’t fit neatly into a single team but are critical to Pro’s success. - Support leadership in decision-making by framing issues, tracking KPIs, and surfacing gaps or risks early. - Maintain systems for reporting, business reviews, roadmap coordination, and cross-team initiatives. - Partner with leadership to scope and stand up new initiatives in Spot, Margin, Derivatives, or Infrastructure — from early concept through initial execution. - Contribute to high-impact materials (exec updates, all-hands, strategic memos) that provide clarity and visibility. - Act as the first line of intake for inbound requests, triage them effectively, and ensure accountability for follow-through. - Identify bottlenecks in how we operate and propose improvements that help the team scale more efficiently. - Use business intelligence and data to support PMs and leadership across Pro, cutting through competing priorities and surface the best opportunities. - Partner with Compliance and Legal teams to find ways to improve product experience.     WHAT YOU BRING - 5–7 years in BizOps, Product Ops, Strategy, Consulting, or similar high-leverage roles with measurable impact. - Strong project management skills — you can bring structure to ambiguity and drive initiatives from 0 → 1. - Comfortable with data: you can interpret dashboards, KPIs, and financial/operational metrics to drive insight. - Excellent communicator who can adapt across audiences — from execs to cross-functional ICs. - Highly organized, detail-driven, and biased toward follow-through and execution. - Self-starter who doesn’t wait for instructions — you create the roadmap when one doesn’t exist. - Experience collaborating across product, engineering, compliance, legal, finance, and marketing. - Belief in Kraken’s mission to accelerate financial freedom and inclusion through crypto. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

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 UX research at Anthropic works across products used by millions of people, on interactions that don't have established conventions yet. We inform critical decisions through rigorous research, working closely with curious, open-minded stakeholders who are eager to learn along with us. We combine qualitative and quantitative methods to understand user needs in a space that's evolving faster than anyone can track. We move fast, favor impact over polish, and increasingly build our own tools, deeply leveraging Claude to do research at the speed and rigor this environment demands. This role is on the Platform research team, embedded in Anthropic's Platform organization, which comprises the API, the agent and connector infrastructure developers build on top of it, and the Console, SDKs, and documentation they use to do it. A large share of what gets built with Claude is built on this platform, including many of Anthropic's own products, and the people who use it range from individual developers to the largest enterprises. The teams that build the platform are deeply technical, move quickly, and are deeply curious about and engaged with users. User research's job here is to give them a deeper and more systematic understanding of those users than they can get on their own, and to help the organization decide what to build for them next. This is a senior individual-contributor role with a great deal of autonomy. You'll work with the rest of the Platform user research team and with Platform's leaders to decide where research can make the biggest difference, and then lead that work yourself. Key responsibilities Work with Platform's leaders and teams to understand what they most need to know about the people building on Claude, decide what is and isn't worth studying, and own that agenda Design and run the research yourself using both qualitative and quantitative methods Study the full range of people the platform serves: developers, the teams and companies building products on it, and the people who administer and buy it Communicate findings to product managers, designers, and engineers and follow them through to product decisions, while building the shared understanding of users that lets teams make good calls on their own Build the tools and infrastructure that let research keep pace with the platform, using Claude heavily and inventing methods where the existing ones don't fit Minimum qualifications Industry UX research experience independently scoping, designing, running, and reporting end-to-end studies Mixed-methods expertise: interviewing technical users well, and designing and analyzing surveys rigorously A technical background, in one of these forms: you've worked as a software engineer; you have a sustained body of developer-experience research on APIs, SDKs, or developer tools; or you have a sustained track record of researching deeply technical products. In practice: you can read our documentation, build something small on the platform, and keep up with very technical teams without translation Hands-on use of AI in your own research: you already run your work through it and use it to build your own analyses and tooling Preferred qualifications 8+ years of industry UX research experience Experience setting the research strategy for a product or product area, with a track record of research that changed direction at the strategy level, not just the feature level, in direct partnership with product or organization leaders Experience embedding with engineering-led product teams that ship fast and earning influence there, from the engineer who owns the endpoint up to the head of the organization Excellent storytelling, calibrated to audience: you can discuss a finding with the head of the organization as effectively as with the engineer who owns the endpoint Experience building with AI yourself using coding tools and agents, and an appetite to help build the research tools that don't exist yet Experience researching pricing, packaging, or how customers decide what a product is worth, especially for usage-based or developer products Background in API-ecosystem or developer-platform research 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: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Anthropic is an AI safety and research company building reliable, interpretable AI systems like the Claude family of large language models. About the role Prompts specify what Claude does. Evals measure whether it did. The Product Prompt and Eval Design team handles both for product design: the system prompt greeting new users, tool descriptions deciding whether Claude searches, instructions maintaining quality, and evals testing all of it. The role focuses on building evals that check prompts, the harness running them, and tools enabling designers to do this work independently. It involves close collaboration with surface owners, engineers, and prompt engineering teams during model releases. Key responsibilities: — Write and revise prompts behind Claude's tools, features, and behaviors on product surfaces; test, fix, ship, and confirm prompts. — Build graders to validate prompt fixes and rerun on new models; automate evals from designers' rubrics and analyze transcripts. — Develop visual, low-code eval tools for designers without engineering help: assemble comparison sets, convert rubrics into graders, compare prompt variants, and present results. — Observe designers using tools and simplify them. — Support model releases by testing surfaces, writing prompt fixes and migrations, and creating prompts for new features. — Establish and scale the eval harness to test 50-100 tools with reliable settings, maintain eval stability across models, and diagnose regressions. — Package issues unfixable by prompting for training, including graders, human-feedback questions, and good/bad pairs. Minimum qualifications: — Production-quality Python. — Experience building and maintaining evaluation pipelines for LLM products: graders, rubrics, comparison sets, regression suites, and their orchestration. — Experience creating internal tools with user-friendly interfaces for non-coders. — Experience setting up test harnesses, sandboxing tool calls, and stabilizing settings for comparable runs. — Experience shipping prompts or working closely with prompt shippers, understanding prompt failures across models. — Ability to read transcripts beyond scores. Preferred qualifications: — Experience within a model-launch cycle. — A/B testing experience linking offline evals to online outcomes. — Front-end or notebook-to-app experience and insights on eval result legibility. — Experience converting product rubrics into training signals: graders, human-feedback questions, or preference pairs. — Concern for Claude's behavior for users, beyond metric changes. Logistics: — Minimum education: Bachelor’s degree or equivalent. — Location-based hybrid policy: at least 25% office presence expected. — Visa sponsorship available with legal support. Anthropic values diversity and encourages applications from underrepresented groups. The company emphasizes AI safety and ethical implications, fostering a collaborative environment focused on impactful AI research. Compensation: — Annual salary range: $305,000 - $385,000 USD. Work location: — Hybrid in San Francisco or New York offices.

Location: Tbilisi, Georgia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. As an SSC Training Manager, you will oversee the training efforts within our Shared Service Centre Team, ensuring that all training programs are aligned with global standards while addressing local needs. You will manage the SSC Training Team, track KPIs, and ensure the successful rollout of global learning initiatives. If you are eager to make a difference in how teams are trained and onboarded, this role is perfect for you. Essential Duties and Responsibilities Team Management: Manage and lead Training Leads and Training Specialists to ensure effective execution of training programs. Oversee the development and performance of the Training Team, ensuring all trainers are equipped to meet local and global objectives. KPI Tracking and Development: Track and report on the relevant Training KPIs to ensure the effectiveness of training programs and drive continuous improvement. Analyze training performance data to identify areas for enhancement and drive strategic changes based on those insights. Train-the-Trainer Certification: Implement and track the Train-the-Trainer certification process, ensuring trainers are prepared to deliver high-quality learning experiences. Ensure trainers are certified and maintain ongoing competency through continuous evaluation. Learning Strategy Development: Manage high-volume, cohort-based onboarding programs that deliver consistent agent readiness across the SSC. Continuously refine the program to accelerate ramp-up without compromising quality. Develop instructional learning strategies tailored to the needs of SSC, focusing on both onboarding and continuous learning. Collaborate with global teams to define and validate new training approaches that enhance learning effectiveness. Project and Initiative Rollouts: Lead the rollout of global training projects and initiatives, ensuring that the SSC team is aligned with global standards. Coordinate with local teams to implement global changes and customize the delivery of these initiatives to suit local nuances. Global-Local Collaboration: Serve as the key liaison between local teams and the global training organization, ensuring that local feedback and requests are communicated and considered in global decision-making. Partner with cross functional teams to identify performance trends and prioritize improvement efforts across the SSC agent population. Act as SCC’s primary voice in global training design and delivery, surfacing local performance patterns, flagging content gaps and co-developing learning solutions with the global training team. Our humble expectations Leadership and Team Development: Proven ability to lead and inspire a training team, setting a strong example and guiding team members to deliver impactful learning experiences. Committed to fostering a culture of growth, ensuring team members have the support and resources needed to excel. Data-Driven Decision Making: Skilled in interpreting data to measure training effectiveness and  translate insights into learning program adjustments. Instructional Design: Knowledgeable in creating tailored learning strategies that balance local needs with global goals, particularly for onboarding and continuous learning. Project Management: Strong project coordination skills, especially in managing training rollouts and adapting them to fit local requirements. Performance Consulting: Able to work with cross functional partners to diagnose the root cause of performance gaps and design the appropriate, targeted learning interventions. Clear Communicator: Able to bridge global and local teams effectively, communicating needs and updates in a clear, actionable way. Adaptable & Culturally Aware: Flexible in approach, with a sensitivity to cultural differences and local needs, ensuring training programs are relevant. Problem Solver with a Strategic Lens: Quick to identify challenges and implement improvements, especially when adapting global programs to local nuances. Attention to Detail: Meticulous in ensuring that training content and delivery meet both global standards and local expectations. Accountability for SSC Success: Deep commitment to the growth and wellbeing of the SSC Team, taking ownership of training outcomes, ensuring alignment with organizational standards and addressing performance gaps. Languages : Fluent English is required. Location : Available to work from our Tbilisi office. Next steps If you are excited about working in a high-growth environment, taking ownership and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an ongoing basis, so if this sounds like an opportunity you want to pursue, apply today! Please submit your up-to-date resume in English. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Remote-Friendly, United States; San Francisco, CA | Seattle, WA | 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 Team The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. What You’ll Do: Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments. Penetration test specific, high value deployments. Contribute to AI-assisted security testing tooling and workflows. Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios. Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps. Who You Are: 5+ years of hands-on experience in red teaming and offensive security operations Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines Track record of discovering novel attack vectors and chaining vulnerabilities creatively Experience conducting adversarial simulations against well-defended environments Strong engineering skills (Python, Go, or similar) Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes Collaborative approach, working in close collaboration with the blue team Strong candidates may also have experience with: Prior work at organizations with state actor threat models Interest in AI safety and how security engineering contributes to responsible AI developments Background testing AI/ML systems or agentic workflows Familiarity with detection engineering and SIEM/EDR platforms from the defensive side Experience with data center security or hardware-based attacks Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales. Responsibilities Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Partner with Salesforce, CPQ and billing engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture You might be a good fit if you have 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams. A passion for the company's mission of building helpful, honest, and harmless AI. Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system: CPQ, contract lifecycle management, billing and invoicing, or ERP. Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. Expertise in SQL and Python to transform data into accurate, clean data models. Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams. A bias for action and urgency, not letting perfect be the enemy of the effective. A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description. Experience building an Analytics Data Engineering (or similar) function at start-ups. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our core customer motions and quote-to-cash business.: This includes automation throughout the Salesforce platform ranging from core sales automation to product catalog and pricing, quoting and approvals, order and contract management, and the handoff to billing and provisioning. You'll work both autonomously and collaboratively across RevOps, Order Management, Legal, Billing Engineering, Deal Desk, Finance and Accounting, and Product to translate pricing and packaging requirements into scalable Apex, Flow, and integration solutions, and to extend our capabilities with custom code where necessary. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale. Where you might sit We're hiring across more than one team. Placement depends on your background and where you can have the most impact. GTM Systems: Builds and runs the Salesforce platform and connected tools that Anthropic's sellers, sales leaders, and revenue operations teams rely on every day. You'd build the automation behind how deals move through the pipeline, how leads and accounts reach the right owner, and how information flows between our sales tools and the rest of the business. You'll work directly with the analysts and operators who define the process, and see the impact on the people who use what you ship. QTC Experiences: A vertically integrated team that spans quoting through to provisioning agreements, as well as customer billing experiences over the term of their agreement. You'd build the foundational systems for CPQ, order management, provisioning and billing experiences, envisioning how we make our sellers and ops teams orders of magnitude more efficient with Claude. You'll work cross-functionally with GTM, finance, accounting and other stakeholders. Your work will directly impact seller velocity and our GTM deal making capacity. Key responsibilities Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework Design and build quote-to-cash infrastructure in Salesforce, including the product catalog and pricing data model, quote and order lifecycle, discount and approval automation, and amendment, renewal, and co-termination flows Extend CPQ and expand into agentic selling with custom pricing and quote-calculation logic, quote and order user experiences, and code built against the package's APIs and data model Build and own integrations between Salesforce and our billing, provisioning, and finance systems, such as Stripe, Metronome, and NetSuite, directly or via middleware Support new product and pricing launches by modeling catalog, SKU, and pricing changes so they can be released quickly and reflected consistently in every downstream system Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow Partner with Business Systems analysts and Finance to ensure data-model decisions support downstream bookings, forecasting, and revenue reporting Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment, particularly around pricing, discounting, and contract changes Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale Minimum qualifications Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org Experience building or extending CPQ and quote-to-cash functionality in Salesforce (Salesforce CPQ, Revenue Cloud, Nue, or similar): product and pricing data models, quote and order lifecycle, approval automation, and amendments and renewals, including custom code written against the CPQ package rather than configuration alone Experience integrating Salesforce with billing, ERP, or provisioning systems via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output Basic SQL skills and comfort working alongside a data warehouse Effective communication with sales, deal desk, finance and accounting, product, and engineering stakeholders Preferred qualifications Salesforce Platform Developer I and II certifications Advanced Administrator or Application/System Architect certification Deep understanding of Salesforce platform constraints: governor limits, bulkification, sharing and visibility, recursion control, and how they surface in CPQ-specific situations such as large quotes, calculation performance, and bulk amendments Experience implementing a CPQ solution end to end or re-platforming from one CPQ to another, not just maintaining an existing one Experience with billing and finance platforms such as Stripe, Metronome, or Oracle, and with usage-based or consumption pricing models Working understanding of how CPQ design decisions flow through to bookings, invoicing, and revenue recognition Proven experience scaling Salesforce in a high-growth GTM environment 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: $270,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About 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 Join Anthropic as a Customer Success Manager for Life Sciences. You’ll be a strategic partner and trusted advisor to leading organizations working to accelerate scientific discovery, such as research institutes, academic medical centers, and scientific foundations. You’ll help these organizations harness the full potential of Claude through deep product expertise, use case discovery, and hands-on guidance. You’ll be part of a Research and Life Sciences account team pod, working as one team with your Account Executive and Applied AI partners. Together you’ll shape account strategy with  you taking the lead on adoption, change management, and value realization. This role doesn’t follow a single playbook. You’ll run a range of Customer Success motions, from deep 1:1 strategic partnership to one-to-many programs like webinars, hackathons, and cohort-based enablement. You’ll choose the motion based on top account and customer priorities and the best way to solve for them. The insights you gather will directly inform our research priorities, product development (including how Claude for Life Sciences evolves), and strategies for beneficial AI deployment. That makes you a key voice in how we build and deliver AI systems that accelerate science for the benefit of society. Responsibilities Build trusting, strategic relationships with research leaders, scientists, principal investigators, and program directors to understand their scientific priorities, organizational goals, and impact objectives Partner closely with your Account Executive and Applied AI counterparts in the Research and Life Sciences pod on shared account plans, bringing in Product, Support, and other teams as needed Run the right Customer Success motion for each account and customer priority, whether that’s dedicated 1:1 engagement, cohort-based onboarding, hackathons and build days, office hours, or researcher communities Become an expert in Anthropic’s products, especially Claude for Science, guiding organizations and their researchers and scientists to the right solutions and most impactful use cases Monitor usage patterns and proactively drive adoption, identifying optimization opportunities and new applications for Claude across your book of business Develop and execute change management strategies suited to scientific and academic cultures, including Train the Trainer programs, Center of Excellence development, and enablement that respects partner capacity, governance requirements, and decision-making processes Guide partners through the technical and governance foundation for launch, including SSO and provisioning, workspace configuration, and data handling considerations for research and health data (such as HIPAA, IRB, and institutional data policies) Own account and success plans and run Quarterly Impact Reviews that document and quantify value realized, such as research productivity, time-to-insight, and cost savings, and partner with Marketing on success stories and reference accounts Establish the repeatable playbooks, templates, and health metrics that define what “great” looks like for customer success in life sciences at Anthropic You may be a good fit if you have 6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or consulting 3+ years of experience in life sciences research, with exposure to new technologies as a catalyst for accelerating progress Experience working directly with life sciences organizations, such as academic research institutions, research institutes, foundations, biotech, or pharma, and familiarity with how scientific research is conducted, funded, and governed An understanding of the regulatory, risk, and compliance needs of the industry Experience driving success across both consumption-based and seat-based business models, with an understanding of the expansion levers and success metrics for each Experience managing dedicated strategic accounts and delivering one-to-many programs, with the judgment to choose the right motion for the customer priority at hand Strong cross-functional collaboration skills, including working as part of an account team with Sales and technical partners and advocating effectively for customer needs Technical fluency in AI/ML concepts, API integrations, and software implementation patterns, and the ability to explain them to audiences ranging from bench scientists and computational researchers to institutional leadership. Familiarity with scientific data types, research workflows, or bioinformatics tooling is a strong plus A data-driven, AI-first way of working, using adoption signals to guide decisions and building Claude-powered workflows into how you engage partners Passion for both AI and accelerating scientific progress, with a strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society A knack for bringing order to chaos and an enthusiastic “roll up your sleeves” mentality. You are a true team player 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: $200,000 — $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Italy About our client Our client is a family-run Japanese company with over 200 years of history and two key business divisions: food for human consumption and pet food. In Japan, our client is the No.1 pet food brand , known for its wide product portfolio and innovative, industry-defining product “Churu” . After significant domestic growth, the company continues to expand internationally with the mission to bring joy to pets and their owners worldwide. They are now seeking a highly motivated eCommerce Specialist to join their team and support their growing European operations. With full budget accountability in alignment with the line manager, the position focuses on building strong, influential relationships with key eRetailers and collaborating with internal stakeholders to deliver actionable insights and innovative solutions. The role will lead the development and execution of mutually beneficial joint business plans that foster sustainable growth for the eCommerce channel and the overall market. In this position, you will lead and coordinate the eCommerce channel in close collaboration with local market teams for our client. You will drive growth, strengthen client relationships, and ensure operational excellence in the digital space. Main responsibilities: Lead eCommerce Strategy: Develop and execute strategies to grow online sales, traffic, and customer loyalty across key platforms and emerging eRetailers. Manage Key Accounts: Act as the primary contact for major eRetailers (e.g., Amazon,…), ensuring strong partnerships and tailored solutions. Drive Sales Performance: Oversee distribution, revenue, and budget targets for the eRetailers, ensuring alignment with business objectives. Plan & Execute Listings: Prepare and implement annual plans, product listings, and promotional activities to maximize visibility and conversion. Analyze Market & Assortment: Monitor market trends, competitor activity, and assortment opportunities to identify new revenue streams. Monitor & Report KPIs: Track account performance, provide regular reporting, and ensure achievement of agreed KPIs. Collaborate Cross-Functionally: Work closely with marketing, shopper CX, supply chain, and colleagues to share best practices and support overall growth. Ensure Compliance & Control: Maintain operational standards, budget adherence, and compliance in all Digital Commerce activities. Represent the Brand: Participate in trade fairs and industry events to strengthen our client's presence and build strategic relationships. Requirements Education & Experience University degree or equivalent vocational training. 2-4 years of professional experience in eCommerce, digital sales, or key account management within FMCG or related industries. Proven track record in managing eCommerce platforms and client relationships (experience with Amazon or similar online-shops is a plus). Technical & Analytical Skills Strong knowledge of digital marketing tactics, tools, and trends, with ability to translate them into actionable strategies. Data-driven mindset: skilled in analysing performance data and making informed decisions to optimize digital channels. Proficiency in MS Office (Excel, Word, Outlook), Power BI, and familiarity with analytics tools (e.g., Google Analytics). IT literacy and ability to work with digital tools and platforms. Commercial & Strategic Skills Solid business acumen and ability to develop tailored strategies for key accounts. Understanding of market dynamics, competitor analysis, and decision-making processes. Ability to interpret customer and market data to identify growth opportunities. Interpersonal & Communication Skills Excellent intercultural communication and relationship management skills. Targeted and persuasive communication style, both written and verbal. Strong networking and customer orientation. Languages: Business-level English/Italian (French and additional European languages are a plus). Other Requirements Willingness to travel for business (as agreed with line manager). Driving license (Category B ). Competencies Drive for Results: Strong focus on achieving goals and delivering measurable outcomes. Customer Focus: Ability to understand and anticipate customer needs and build lasting relationships. Action-Oriented: Proactive approach to problem-solving and execution in a fast-paced environment. Planning & Priority Setting: Skilled in organizing tasks, managing time, and setting clear priorities. Communication Skills: Excellent verbal and written communication, including intercultural competence. Peer Relationship & Collaboration: Ability to work effectively across teams and influence stakeholders. Adaptability: Comfortable with change and able to adjust strategies quickly. Key Functional Competencies & Technical Skills eCommerce Expertise: Managing online platforms and eRetailers (Amazon, …). Customer Execution & Measurement: Delivering flawless execution and tracking performance metrics. Sales & Customer Communications: Building compelling propositions and maintaining strong client engagement. Revenue Management: Ability to optimize pricing, promotions, and profitability. Financial & Analytical Acumen: Strong data interpretation skills to drive insights and decisions. Digital Marketing Knowledge: Understanding of tactics, tools, and trends to drive traffic and conversion. Analytical Skills: Turning data into actionable insights for growth. IT & Tools Proficiency: Advanced MS Office (Excel, Word, Outlook), Power BI, and analytics platforms.