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Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp Economics Lab is the go-to source for understanding how businesses spend on and adopt AI. Built on Ramp’s $200B+ business spend dataset, our flagship Ramp AI Index https://ramp.com/data/ai-index tracks the AI economy through actual business spend data. We help CFOs and finance teams understand what these trends mean for their businesses, and our research is regularly cited by outlets including the Financial Times, The Wall Street Journal, and Bloomberg. You will work with Ara Kharazian https://www.linkedin.com/in/akharazian/, lead economist. We’re hiring an analytical, resourceful researcher to own and expand this work: run the Ramp AI Index, develop new metrics on AI spending and adoption, explore questions about AI ROI, and extend our research internationally. You’ll turn findings into clear reports, charts, presentations, and interactive tools that help CFOs and finance teams make better decisions. You will also build our customer-facing research function: developing Ramp’s outlook on AI, meeting with customers and prospects, and translating our data into practical recommendations for business planning, budgeting, and AI strategy. You’ll partner with the growth team to package and distribute this work through reports, web content, presentations, and events that reach finance leaders. This role combines economic judgment, applied data science, public writing, data visualization, and executive communication. You should be able to move from an important question to credible analysis, a clear visual or argument, and advice a business leader can act on. WHAT YOU NEED - 5+ years of experience in an analytical role, such as investment banking, equity or industry research, consulting, business operations, data science, or economics. We care about evidence of strong analysis, clear communication, and ownership across projects. - Strong perspectives on the economics of AI, economic policy, new media, and writing - Strong knowledge of SQL - Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards - Track record of shipping high-quality research, writing, and thought leadership under short, non-academic timelines - Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions - Active reader of the news in economics, business, and AI trends - An advanced user of AI for data science, and an eye for good charts and web design (we vibecode ramp.com/data http://ramp.com/data ourselves) NICE-TO-HAVES - Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents) - Experience within the payments and financial technology space BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As a Technical Account Manager, you’ll step into the spotlight as the ultimate trusted guide for our enterprise customers! Your mission is to build, deepen, and elevate high-value customer relationships, transforming their strategic learning challenges into game-changing Docebo platform initiatives. Acting as the technical power center between customer executives and internal teams, you will champion platform performance and ensure every customer becomes a thriving, lifelong partner in the future of AI-driven learning. ⚡ THE DAY-TO-DAY - Architect the Strategy: Translate complex customer business goals and eLearning objectives into long-term, cutting-edge technical strategies leveraging the full power of the Docebo ecosystem. - Champion the Relationship: Take full technical ownership of your assigned enterprise accounts, partnering closely with the Account Team to drive active customer growth and remove any roadblock standing in the way of success. - Deliver Executive Impact: Deliver high-visibility presentations on platform SLAs and performance to customer C-suites, advocating for your clients internally while shaping operational excellence. - Innovate and Guide: Serve as a proactive advisor guiding customers through platform innovations, emerging AI/automation features, and release readiness to optimize platform health and API workflows. - Solve Before It Strikes: Continuously monitor platform health metrics—from API usage and custom modules to session trends—to spot and mitigate technical risks long before they impact the business. - Drive Strategic Alignment: Collaborate with Premium Advisors and internal product teams to run proof-of-concept pilots, analyze support trends, and troubleshoot critical customer events in real-time. 💪 YOUR SUPERPOWERS - Proven SaaS Expertise: 5+ years of hands-on technical troubleshooting experience combined with 2+ years navigating enterprise-level SaaS account management. - Tech-Savvy Foundation: A solid grip on front-end web tech (JavaScript, CSS, HTML, RESTful APIs) and core back-end identity protocols (OAuth 2.0, SAML, SSO). - Data & Integration Wizardry: Hands-on strength in at least two key technical domains: iPaaS tools (Workato, Zapier), executing custom SQL queries, or querying BI/Data Warehouse solutions (Snowflake, Tableau, Power BI, Looker, Domo). - Master Communicator: Exceptional ability to bridge the gap between technical complexity and business value, effortlessly tailoring messages for everyone from developers to executive decision-makers. - Organized & Proactive Leader: A project management mindset with a penchant for analytical problem-solving, risk mitigation, and advising on smart operational workarounds. - Global Flexibility: Comfortable traveling internationally up to 25% of the time to meet customers where they are. 🌟 BONUS POINTS - Cloud Certified: Holding an official AWS Product Certification. - Domain Veteran: Prior experience consulting or working within the e-Learning, Learning Management System (LMS), or HCM industries. - Scale Specialist: Hands-on background advising on high-level platform performance, uptime optimization, and enterprise scalability. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Scientist II - Decision Science Using data, you will play a crucial role in driving decision-making and delivering impactful insights to our stakeholders. You will apply advanced analytical techniques, build Machine Learning (ML) models, and use experimentation and causal inference methods to solve sophisticated business problems related to platform engagement, product features, and games. What you’ll be doing: Apply advanced statistical and ML techniques to analyse large and complex datasets, extracting actionable insights in a commercial setting. Apply your knowledge of Experimentation, Causal Inference, ML, and statistical modelling to develop robust predictive models and identify causal relationships. Collaborate with cross-functional teams to define business problems, formulate hypotheses, and design experiments to test them. Independently extract and integrate data from multiple data systems, including writing complex SQL queries, to support analytical efforts. Support the delivery of results and presentations to stakeholders, translating complex analyses into clear and actionable recommendations. Stay up to date on the latest advancements in Data Science, including Causal Inference, Gen AI, and ML, and share knowledge and new ideas with the team. What we’re looking for: Master's Degree or Ph.D. in Applied Math, Economics, Statistics, Engineering, or a related quantitative field, plus at least 2 years of relevant industry experience, ideally in entertainment, gaming, technology, or a related consumer-facing industry. A BA/BS Degree may also be considered based on additional relevant industry experience. Advanced knowledge and experience applying ML methods using Python and SQL. Familiarity with common development tools and practices, including version control systems (e.g., Git) and workflow management tools (e.g., Airflow). Excellent communication and data storytelling skills, with the ability to effectively communicate technical concepts to non-technical partners. In-depth understanding and experience using supervised and unsupervised ML techniques. Understanding of Online Experimentation (large-scale A/B tests) and Causal Inference methods is a plus Knowledge of the gaming industry and relevant gaming titles is a plus. Familiarity with Gen AI tools and pipelines is a plus. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $156,300 — $234,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Director, Investments & Liquidity to join our Treasury team. This is a foundational role on a quickly growing Treasury team. As we experience exponential growth, you will be instrumental in ensuring optimal capital allocation, protecting our financial assets, and establishing the policies and infrastructure needed to support our expanding global operations. The work spans strategy and execution: owning the capital planning framework and investment policy, standing up in-house trading infrastructure, and overseeing external managers. Reporting to the Head of Investments & Markets, you will partner closely with teams across Finance, Legal, and Accounting to achieve these objectives. You will build AI-native investment workflows: apply AI tools to portfolio analytics, manager and counterparty monitoring, IPS compliance, interest income forecasting, and executive reporting, partnering with Finance, Engineering, Data, and FinSys, with controls, documentation, and auditability built in. Key responsibilities Own and optimize Anthropic's external investment program, including money market funds, bank deposits,and separately managed accounts Monitor external manager performance and maintain a manager bench with clear performance reporting Design and build an in-house investment program, including direct fixed income trading capability, trade infrastructure, and custodian connectivity Develop and operationalize a capital planning framework across operating and strategic liquidity tiers Design and maintain the investment policy statement, Treasury policies, and SOX-ready investment controls Build CFO-ready management reporting covering portfolio performance, policy compliance, and risk exposures Minimum qualifications Deep expertise in corporate cash investment strategy, developed in Treasury, corporate finance, or fixed income portfolio management Experience with an in-house investment program, including direct fixed income trading Hands-on experience with SMAs, investment policy design, capital allocation frameworks, and external manager oversight Experience developing and implementing Treasury policies and SOX-ready controls Demonstrated operational readiness at scale, with comfort being personally accountable for large, time-sensitive cash movements Familiarity with the Investment Company Act of 1940 and relevant exemptions Preferred qualifications 10+ years of relevant experience in Treasury, corporate finance, or fixed income portfolio management Experience in a high-growth technology environment Experience standing up in-house trading capability and trade infrastructure, including order management systems and custodian connectivity Familiarity with integrating cash forecasting into investment laddering FX/derivative trading experience to act as back up trader for risk team CFA charter The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future. Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we're just getting started. Much of this is being built 0→1 right now, in a category no one has defined yet. We're growing the Claude Science product team. As a Product Manager on Claude Science, you will own a major area of the roadmap end to end — think expanding into new scientific fields, landing new model capabilities with researchers, or making the workbench ready for enterprise R&D teams — and help shape the overall product direction alongside the rest of the team. You'll spend real time with researchers in academic labs, biotech and pharma R&D, and research institutes to understand how science actually gets done — from hypothesis to analysis to publication and beyond— and turn what you learn into shipped product. You'll partner directly with our research teams to make the models better at science, help decide which fields and workflows we go after next, and shape what it takes for Claude Science to be trusted in enterprise and regulated research environments. We're looking for experienced product managers and founders with real scientific or technical depth: people who can hold their own in a conversation with a structural biologist or a computational chemist, get in the weeds of model transcripts and evals, and still zoom out to help define a product category. You thrive in ambiguity, uncover non-obvious use cases for nascent capabilities, and bring those insights back to research. Our north star is for Claude Science to accelerate scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude. Key responsibilities Own vision, strategy, roadmap, and execution for a major area of Claude Science, and contribute to overall product direction in a category that is still being defined Spend meaningful time with working scientists — in interviews, working sessions, and key customer conversations — and synthesize what you learn into clear priorities, requirements, and success metrics Partner with research to make Claude better at science: define target behaviors, build and shape evals grounded in real scientific workflows, surface failure modes from real usage, and feed them back into model development Drive model and feature launches in your area end to end: define readiness criteria, coordinate across research, engineering, design, and go-to-market, run early access programs, and make sure launches land well with researchers Identify which scientific domains, data sources, tools, and integrations Claude Science should support next, and build the case with evidence from users, usage data, and the broader landscape Prototype ideas yourself with Claude to validate them before committing engineering time Work with safeguards, policy, security, and go-to-market partners so that powerful scientific capabilities reach trusted researchers responsibly, including in enterprise and regulated research settings Drive enterprise readiness  — security and compliance reviews, admin and deployment controls, and the procurement realities of pharma and biotech — so large organizations can adopt it with confidence Prioritize ruthlessly across a broad surface — scientific domains, customer segments, and competing workflows — and make clear calls on what our products serve deeply first, holding the line on MVP versus ideal state Define how success is measured for AI research and development products — adoption and retention among working scientists and operators, time-to-result on real analyses, trust in outputs — and use those measures to steer planning Maintain an objective, current view of the AI-for-science ecosystem — models, tools, benchmarks, and competitors — and of where Claude Science stands within it Minimum qualifications Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder, engineer, or scientist Have a scientific or deeply technical background — enough to reason with domain experts about their workflows and to diagnose where and why a model is falling short on a scientific task Have a strong grasp of AI and LLM concepts, use AI tools daily, and are comfortable going deep on model behavior, prompting, and evaluation methodology Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone Have strong user empathy and can synthesize vague or contradictory feedback from expert users into actionable priorities Navigate and execute amid ambiguity as a first-principles thinker, flexing across scientific domains based on the problem at hand and finding simple, easy-to-understand solutions Communicate clearly in writing and can align research, engineering, and go-to-market stakeholders through influence rather than authority Think carefully and creatively about the risks and benefits of putting frontier scientific capabilities into the world, beyond past checklists and playbooks Preferred qualifications 8+ years in product management or equivalent product leadership, including taking products from 0 to 1 and scaling them; founder experience is a plus An advanced degree or hands-on research experience in biology, chemistry, physics, materials science, or a related field — or experience building software for scientists (e.g., computational biology, cheminformatics, lab informatics, simulation, or scientific data platforms) Have personally built evals or benchmarks for model capabilities, ideally agentic or scientific ones Experience shipping products into life sciences, pharma, or other regulated research environments, including familiarity with their data governance and compliance expectations A track record of launching ambitious products that found distribution or commercial success Experience designing trusted-access or staged-rollout programs for sensitive capabilities A creative, hacker spirit and a love of solving hard puzzles 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.

Location: Europe Workplace: remote Belkins is the most reviewed B2B appointment setting company in the USA, with over 300 5-star reviews, and is ranked among the Top-3 best professional service firms in the world 2024 by Clutch. Trusted by industry leaders, including General Electric, Nvidia, UC Berkeley, Zendesk, Cloudflare, and over 1,000 other businesses in the USA — from startups to Fortune 500, empowering companies across 50+ industries with a results-oriented full-funnel outreach, boasting a staggering average of $10 return on every $1 spent with Belkins. We foster long-term partnerships to unlock the full potential of B2B clients, allowing them to scale steadily regardless of market shifts. Now we're looking for a driven Middle FP&A Analyst — someone who owns financial reporting end-to-end and turns numbers into insight the business can act on. The role You’ll own financial reporting and business-facing analytics across our largest brand scope (Belkins); working alongside our finance team in a peer/support relationship, not a managerial one.  You’ll report directly to Olha Boyko, and your analysis will feed straight into decisions made at the C-level. What you’ll be doing Preparing monthly management reporting packages (P&L, CF) with variance analysis and business insights Taking full ownership of the budgeting and rolling forecasting cycles, ensuring accuracy, timelines, and cross-functional alignment Improving and automating reporting processes, including data consolidation and dashboard development Developing and maintaining financial models for new and existing business directions, supporting leadership decision-making Staying closely connected to the business day to day — tracking Delivery and Sales KPIs that move revenue, flagging risks before they surface, and staying on top of invoice deadlines and month-end close What you bring 3+ years of experience in financial analysis, preferably in IT, SaaS, or marketing-driven businesses Solid grounding in accounting principles (US GAAP), with hands-on experience across P&L, balance sheet, and cash flow Advanced financial modeling, budgeting, and forecasting skills Advanced Google Sheets skills (complex formulas, QUERY, pivot tables, data structuring) Business-oriented mindset — you interpret numbers into insight, not just report them Upper-Intermediate English or higher Bonus points: SQL experience & AI tools What’s special about working at Belkins Direct visibility into C-level decision-making — your analysis isn’t filed away, it’s acted on A real path to seniority: growth here means more business impact and scope — no people-management track required to get there. A dynamic, modern environment that keeps evolving its tools and processes (AI included) and leans on knowledge-sharing A motivated team that’s building the finance function as the company scales You’re our kind of person if you You take ownership without waiting for a ticket to tell you what’s next — you flag risks before anyone asks You’re structured and detail-oriented, but flexible when priorities shift fast You look at a spreadsheet and think what does this mean for the business, not just is this accurate You partner easily across teams — Delivery, Sales, Accounting — without needing a rigid handoff process What to expect in our process Screening call with the recruiter (30–45 min) — background, motivation, English level, comp expectations. Test task (up to 1h) — a practical case on modeling, budgeting, and data structuring Interview with the Hiring Manager (Olha) — competency deep-dive on financial modeling, business-oriented thinking, and ownership Final interview — Heads & Culture — leadership alignment and the bigger picture If this all sounds like the right challenge, go ahead and apply. If you’re ready to take on a high-impact challenge, lead a transformation, and be rewarded for aggressive growth, we want to hear from you. At Belkins, we care deeply about our team members, and we prove it through: Competitive Pay: Your dedication deserves more than recognition; it deserves compensation that matches your expertise. Remote-First Flexibility: We’ve transitioned to a fully remote environment so you can work where you're most productive. Our flexible hours help you stay agile and focused. Professional Growth: We’re a launchpad for your career. Through regular feedback, 1:1s, internal mobility, and knowledge-sharing, your growth is enabled and celebrated. We also maintain an internal wiki for insights and a library of the latest business books to keep you sharp. Well-being focus: Your mental health is a priority. We offer mental health lectures and support for your overall well-being. Recharge Time: We prioritize your rest with 20 paid vacation days, parental leave, fully covered sick days, and unlimited days off for unexpected needs. Global Sync: We align with U.S. holidays to keep our global teams in sync. Memorable Team Experiences: Work hard, play hard — even from a distance. Our online team-building events and all-hands gatherings bring humor, memes, and a lively atmosphere that makes teamwork genuinely fun.

Location: Romania; Brazil; Peru; Sweden; Colombia; Argentina; Cyprus; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Bulgaria 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 Pro team is responsible for everything to do with the trading backend services such as the matching engine, market data gateways, internal and external APIs, and various other trading services. The team is located globally and responsibilities are split into sub-teams, working with various tech stacks. Our teams code in Rust and work agile around the globe.   THE OPPORTUNITY - Design and implement robust Rust services and libraries that power trading, payments, and crypto experiences with a focus on reliability, performance, and user impact. - Write reusable, testable, and highly efficient code that scales across teams and supports revenue-critical systems without compromising safety or security. - Collaborate on large-scale distributed systems architecture, translating evolving product requirements into resilient, low-latency solutions. - Work alongside hundreds of experienced Rust engineers, contributing to a high-performance, product-driven engineering culture.   WHAT YOU BRING - 7+ years of software engineering experience - Experience building financial trading focused products - Proficient in writing network services or asynchronous code in Rust - Have a security-first mindset during system design to ensure robustness - Demonstrate the ability to autonomously debug issues across the stack (OS, network, application) - Apply a solid understanding of distributed systems and technologies, including RPC protocols, Kafka, and Event-Driven Systems, to design scalable solutions - Collaborate effectively with product teams to gather requirements and constraints for designing appropriate systems - Take complete end-to-end ownership of systems and libraries - Provide mentorship to other engineers while contributing to defining the technical culture 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: Dubai, United Arab Emirates Kaizen is looking for an experienced Director of Unit Management to lead our secondary market strategy, drive property transaction volume, optimize unit portfolio performance, and deliver sustainable revenue and asset value growth. This role goes beyond traditional sales management the Director will shape and execute the secondary market commercial strategy, end-to-end unit lifecycle management, strengthen stakeholder relationships, and align operations with Kaizen’s long-term business objectives. You will lead a high-performing team, nurture B2C client relationships , and collaborate cross-functionally to deliver seamless property transactions, superior unit performance, and exceptional client experiences. Key Responsibilities Unit Portfolio Performance Develop and execute secondary market strategies for resales, off-plan resales, leasing, and unit disposition — driving transaction volume, market share, and revenue Own end-to-end unit portfolio management: inventory oversight, valuation, pricing, marketing readiness, and lifecycle optimization from listing to close Maximize asset value, minimize holding periods, and optimize yield through data-driven pricing, targeted promotion, and timely disposition Monitor UAE/GCC market trends, supply-demand dynamics, regulatory updates, and competitor activity to inform pricing and positioning Track portfolio KPIs: sales velocity, days on market, price realization, lease renewal rates, vacancy, and revenue per unit B2C Growth & Platform Services Own full P&L, revenue targets, client satisfaction, and profitability for the B2C homeowner division Design and execute acquisition, engagement, and monetization strategies anticipating key lifecycle moments (ready to sell, revalue, lease, renovate) to deliver timely, trusted solutions Build, scale, and optimize a partner-led service marketplace; onboard, manage, and assure quality across provider networks Leverage existing developer, property manager, and owner relationships to accelerate growth ahead of competitors Define commercial models, pricing, and service standards; oversee end-to-end client experience and recommend strategic adjustments (expand, refine, or pivot) based on performance Client, Stakeholder & Relationship Management Build and maintain trusted relationships with individual homeowners, buyers, tenants, investors, developers, brokers, and institutional partners Drive client retention, repeat business, and referrals through proactive engagement, transparent communication, and personalized guidance Lead commercial negotiations, valuations, listing agreements, tenders, and complex transactions — tailoring solutions to individual client needs Represent Kaizen as a market expert; uphold service excellence and trust across all client interactions Operational Excellence & Process Leadership Establish clear KPIs, accountability frameworks, and reporting standards across transactions, listings, portfolio performance, and client satisfaction Continuously refine end-to-end journeys — from inquiry → consultation → valuation → transaction → post-closing support & services Leverage CRM, analytics, valuation tools, and digital solutions to boost productivity, market intelligence, and client engagement People Leadership & Culture Lead, mentor, and develop a high-performing team across secondary market sales, unit management, and B2C services Set clear objectives, coach for results, and nurture expertise in transaction excellence, B2C relationship-building, and service delivery Foster a collaborative, client-first, high-performance culture; role-model Kaizen’s values and leadership standards Requirements Bachelor’s degree in Business, Finance, Real Estate, or related field; MBA or advanced degree preferred Significant leadership experience in secondary market sales, property transactions, portfolio management, B2C growth, or marketplace/platform businesses Deep proven knowledge of the UAE/GCC real estate market , regulations, valuation practices, and transaction workflows Strong B2C track record : successfully advising individual owners, buyers, and tenants; building trust, explaining complex processes clearly, and delivering high satisfaction Proven ability to grow revenue, optimize portfolios, and scale service lines with measurable results Experience building partner ecosystems, marketplace models, or platform-led services Established network across developers, investors, property owners, brokers, and key stakeholders in the UAE/GCC Strong commercial acumen: P&L ownership, pricing strategy, forecasting, negotiation, and stakeholder management Fluent English; Arabic is a strong advantage Strategic thinker who translates vision into actionable plans and measurable results

Location: Indonesia The Company Our client is a leading international education provider that is dedicated and passionate about helping students around the world, creating a brighter future and reaching their full potential. With university partnerships and a variety of face-to-face, online, and hybrid study programmes, they are able to provide students with the resources and guidance they need to succeed. Their global network of offices and university partnerships ensure that students receive the best educational services available. Additionally, their Insendi platform enables them to deliver innovative, accessible, and intuitive digital learning experiences with the most advanced digital tools available. The Role Our client looking for an experienced Senior Account Manager to manage and grow their portfolio of education-agent partners across Indonesia. This is a commercially focused B2B/channel account management role, with the primary objective of strengthening existing agent relationships, increasing student recruitment and identifying opportunities to grow our client's presence in the Indonesian market. You will act as a key commercial partner to education agents, positioning our client's portfolio as a provider of choice for international higher education programmes. The role is approximately 60–70% account management and partner development ("farming") and 30–40% new business development ("hunting"), making this an ideal opportunity for someone who enjoys both nurturing strategic relationships and developing new commercial opportunities. You will work independently as part of a wider Southeast Asia team and report to the Associate Recruitment Director, Southeast Asia. Key Responsibilities Account Management & Partner Development Own and develop a portfolio of education-agent partners across Indonesia, including both strategic/master agents and smaller boutique agencies. Build strong, long-term relationships with key decision-makers and act as a trusted commercial partner. Develop and execute account plans to grow student recruitment and partner performance. Identify opportunities to increase the productivity, engagement and contribution of existing partners. Monitor partner performance, identify risks and implement appropriate actions to maintain and grow accounts. Ensure partners understand and adhere to relevant processes, service-level expectations and our client's requirements. Provide high-quality product, process and sales training to agent partners. Business Development & Sales Identify, approach and onboard new education-agent partners across Indonesia. Manage the sales pipeline from lead generation through to conversion and activation. Build and maintain a strong network of prospective and existing agents. Achieve agreed student recruitment and revenue/value targets. Identify market trends, customer needs and emerging opportunities to support student recruitment growth. Work closely with product sales and marketing teams to develop and execute effective market strategies. Represent our client and its brands at exhibitions, recruitment fairs, agent events and other industry activities. Market & Competitor Intelligence Monitor competitor activity and developments within the international education market. Share insights on market trends, competitor positioning and agent/customer behaviour. Identify opportunities and risks within the Indonesian market and provide recommendations to the wider team. Requirements Our client is looking for a commercially driven relationship builder with strong experience in the international education sector and a proven track record of managing education-agent networks. You will ideally have: 6+ years of relevant professional experience , preferably in account management, B2B sales, channel sales, business development or partner management. Strong, hands-on experience managing a substantial portfolio of education agents , ideally 20+ active partners or a portfolio of major/master agents with multiple branches. Proven experience developing and maintaining relationships with Indonesian education agents. A strong understanding of the international student recruitment ecosystem and education-agent model . Experience managing both strategic/key accounts and smaller partner agencies. A demonstrable track record of achieving commercial or student recruitment targets. Strong business development skills, including lead generation, cold calling and new-agent acquisition. A consultative, customer-focused approach to relationship and account management. Strong commercial awareness and the ability to identify partner growth opportunities and manage account risks. Excellent communication and presentation skills, with strong written and spoken English . Strong organisational skills, attention to detail and the ability to manage multiple priorities independently. Willingness and ability to travel regularly across Indonesia to meet agents and attend recruitment and industry events.

Location: Mexico; Costa Rica; Brazil; Jamaica; Pakistan Job Type: Full-time Location: Remote (working hours within PST/EST) About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Job Summary We are looking for a high-performing Senior SDR to join a well-established industry leader with over 15 years of proven success. This role is perfect for a strategic communicator who understands the nuances of the US Tax and Accounting landscape. You will be responsible for introducing cutting-edge Data and AI-powered tools to professional services firms, helping them modernize their workflows. If you are a coachable, determined professional looking for a structured environment with a clear path to leadership, this is the place to build your career. Key Responsibilities Conduct approximately 50 high-quality outbound calls per day to key decision-makers within the US market. Generate and qualify a minimum of 10 new outbound opportunities per month. Execute a sophisticated sales methodology within a mature, process-driven environment. Maintain rigorous pipeline management and activity tracking using Salesforce. Collaborate with Account Executives to ensure a seamless transition of qualified leads. Actively participate in coaching sessions to refine your pitch and industry knowledge. Requirements Must be able to work US Time Zones (EST/CST/PST). Advanced English fluency with an American accent. Proven experience selling into the US market. Proficiency with Salesforce CRM. Prior experience in the Tax or Accounting industry. Deep understanding of industry-specific pain points for CPAs and tax professionals. Experience selling SaaS, specifically Data or AI-powered solution Benefits 💰 Competitive base salary 🚀 Defined career path toward Team Lead and Management roles 🛠️ Access to mature processes and proven sales methodologies 🌎 Remote flexibility within required time zones

Location: Yerevan, Armenia Sperasoft is looking for a talented, experienced 3D vegetation Artist who can create different types of plants and organic (trees, bushes, grass, etc.). If you are keen on vegetation creation and would like to be a part of a great team, working on new IP, we are waiting for you! Responsibilities Develop, maintain, and create real-time vegetation game assets going through full 3D pipeline (modeling, sculpting, texture creation, retopology, UV, etc.) in Unreal Engine 5; Develop sets of plants for different biomes; Analyze, plan, and collect references for the assets; work with concepts/references and according to the guideline; Ensure a proper integration for every asset you create considering technical and gameplay constraints; Obtain Lead Artists guidance and approval as required to advance tasks; Continue to refine artistic abilities and learn new software packages and/or in-house tools; Coordinate with Senior and/or Lead Artists with mentoring Junior 3D Artists as well as sharing best project practices with them; Contribute to the team-oriented environment Requirements Experience in vegetation modelling in game industry; Strong understanding of 3D modeling tools used in vegetation production (either 3D Max, Maya, Blender, ZBrush, Speed Tree or Houdini); Strong understanding of Texture creation tools (either Photoshop, Substance Designer or Substance Painter) Experience in any Game Engine, such as Unreal Engine 5, Unity or others is a plus; High-poly sculpting in Zbrush is a plus; Good understanding of modern pipelines and requirements for game development; Teamwork skills; A creative, collaborative and innovative mindset; Excellent communication and interpersonal skills. Benefits Working with an international team of world-class professionals on exciting and challenging projects Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events Medical Care package Breakfasts, snacks and fruits available during the day, tea and coffee machines Additional benefits – care bonus to cover health, educational and safety needs, corporate parties and team buildings and many more others

Location: Islamabad Capital Territory, Pakistan Finance Executive Finance · Full-time· In-Person (Islamabad, PK) · Hours 6pm - 2am PKT About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world. Our Fast-Growing Portfolio Includes: NOBL Travel — redefining modern travel with design, durability, and performance FLO Pilates — bringing Pilates into homes and wardrobes globally With $350M+ in revenue, 400+ teammates across 8 countries, and 1M+ customers worldwide, we are shaping the brands that will define the next decade. Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership The Opportunity The analyst supports accurate and timely financial accounting, general ledger maintenance, reconciliations, month-end close and financial reporting, with the related control activities. The role requires sound accounting knowledge and independent judgement in reviewing transactions, investigating variances and resolving discrepancies, managing assigned accounts independently while escalating complex, unusual or high-risk matters to the Manager. What You'll Own General Ledger Ownership: Maintain accurate financial records, journal entries, account classifications, and supporting documentation while ensuring GL and Chart of Accounts integrity. Period-End Close: Execute month-end, quarter-end, and year-end close activities, including accruals, provisions, prepayments, depreciation, and required reconciliations. Account Reconciliations: Prepare and review balance sheet and control account reconciliations, investigate variances, and resolve aged or unsupported items within defined timelines. Financial Reporting & Analysis: Prepare reporting schedules and accounting inputs while analyzing account-level variances, trends, and material movements for management reporting. Treasury, Payables & Fixed Assets: Manage bank reconciliations, supplier balances, accruals, prepayments, and fixed asset records, ensuring accurate accounting and timely resolution of discrepancies. Intercompany Accounting: Process and reconcile intercompany transactions, confirmations, settlements, and eliminations while investigating and resolving counterpart differences. Audit, Compliance & Controls: Support internal and external audits, maintain complete audit trails, enforce finance policies and controls, and proactively escalate control gaps and financial risks. Systems & Process Improvement: Maintain accurate ERP data, coordinate with cross-functional finance and operations teams, and drive process standardization, automation, and continuous improvement. Skills & Qualifications Educational Background: Bachelor’s degree in Accounting, Finance, Commerce, or a related discipline; professional accounting qualification or part-qualification is an advantage. Relevant Experience: 4–6 years of experience in Finance & Accounts, General Ledger, R2R, or financial accounting, with hands-on month-end close, journal entries, and reconciliations. Accounting Expertise: Strong understanding of accounting principles, double-entry bookkeeping, accruals, provisions, prepayments, depreciation, intercompany accounting, and balance sheet controls. ERP & Reporting Systems: Proven experience working with ERP and financial reporting systems, with exposure to audit processes and internal controls. Advanced Analytical Skills: Strong reconciliation and variance-analysis capabilities, with advanced Excel proficiency including formulas, lookups, and pivot tables. Ownership & Accuracy: High level of accountability and attention to detail, with the confidence to challenge unusual, unsupported, or high-risk financial entries. Professional Execution: Strong problem-solving and communication skills, with the ability to exercise sound judgment, maintain confidentiality, and deliver accurately under tight reporting deadlines. Why You'll Love Working at Nysonian Culture We're founder-led and operate with speed, direct communication, and clear accountability We invest in tools and management practices that help colleagues do their best work Our products are used by customers globally AI is intentionally embedded in how we work, create, and scale Senior leaders are expected to create structure, make decisions, and stay close to execution Growth & Development Competitive pay and meaningful opportunities for performance-based advancement Ownership of strategy, systems, execution, and team buildout within your function Opportunity to build and scale a meaningful part of the business across two consumer brands Scope and compensation growth tied to performance, role expansion, and measurable business impact We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, gender, marital status, national origin, genetics, disability, age, veteran status or other characteristics.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems. Responsibilities Revenue Platform Architecture & Development Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models Data Engineering & Pipeline Orchestration Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements Systems Integration & Technical Leadership Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes Innovation & Continuous Improvement Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics Evaluate and implement emerging technologies to modernize integration architecture Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards Mentor team members on technical best practices, code reviews, and documentation standards Minimum qualifications Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses) Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606) Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions Track record of leading technical workstreams during ERP transformations or major system migrations Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams Preferred qualifications Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures) Experience leveraging agentic development workflows Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards 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 | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Lead, you will be responsible for managing and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your work will center on developing strategic enforcement frameworks for flagged activity related to cyberattacks, malware development, and offensive exploitation. Additionally, you will manage a team of Cyber Enforcement Analysts and contractors implementing this enforcement strategy. Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations Collaborate with stakeholders regarding novel, ambiguous, or high-severity cases Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations. Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions Minimum qualifications Experience as a people manager Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research Experience performing content review, abuse investigations, or policy enforcement at volume Proficiency in SQL and/or Python for data analysis and threat detection Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams Experience working with generative AI products, including writing effective prompts for content review and enforcement Preferred qualifications Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company Experience with large language models and an understanding of how AI technology could be misused for cyber operations Experience operating within abuse monitoring programs or enforcement review systems Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space Experience working with government agencies, regulated environments, or information sharing communities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 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: United States, Los Angeles, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. This dynamic and engaging role does not fit the average definition of Desktop Support. For SIE, the Studio IT Support Specialist possesses a mix of skills and experience often found in desktop support, helpdesk support, and limited system administration roles. The right candidate is versed in a wide range of client technologies; responsible not only for the implementation, maintenance, and highest level of performance-tuning for client technology, but also for being a champion for strong working relationships directly with the people who utilize that technology. This is a customer service role and fundamental to its success is building and maintaining support relationships with internal business teams, promoting trust, setting expectations, and achieving mastery in customer service. The ability to think strategically at a fast pace, troubleshoot accurately while navigating interdependent system relationships - all while driving multiple projects to successful completion in tight, shifting deadlines is the reality of this position. Please note, flexibility is possible, but this is considered primarily an in-person role, reporting daily to offices located in Playa Vista, California. Responsibilities Provides helpdesk-level coverage and support for internal clients. Coordinates, diagnoses, and troubleshoots incoming employee requests for support according to established process Solve technical problems and information technology issues involving desktop, laptop or network services from local personnel or from employees using network remote access. Collaboration with remote sites expected and encouraged Provides timely resolution of problems or escalation on behalf of customer to appropriate technical personnel Develops, documents, and implements standard operating procedures and customer service guidelines relating to IT support Perform first and second level support and troubleshooting for workstation and mobile systems Interface directly with end users in peril, lead and resolve incidents in an efficient manner, maintaining the highest levels of customer support and response and documentation Establish and maintain direct relationships with business units as a support resource and contributing member of the production teams Organize the unorganized, communicate thoroughly and effectively in both written and spoken forms across the organization Work proactively to determine potential issues existing in the environment. Apply performance tuning techniques where applicable Research new trends and technologies leading to testing and justification for deployment Be available off hours for scheduled, week-long on-call rotation, which will include system maintenance and emergencies Perform inventory management of team resources; apply workstation build technologies; configure and manage user account provisioning and permissions Be eager to grow and develop new skills and tackle special projects as needed Required Skills Identifies and resolves problems in a timely manner; gathers and analyzes information skillfully Strong in client hardware and software; strong email/messaging troubleshooting experience; mid to advanced-level understanding of Windows OS Skilled in Microsoft Office Suite and other production software packages (Adobe, Maya, Zbrush, Visual Studio, etc.) Must understand and communicate system concepts to end users and technical teams Familiar with the concepts behind a distributed build system; familiarity with enterprise storage technologies (SAN, NAS, iSCSI) – NetApp, EMC, HDS ideal; basic networking skills; knowledge of security concepts and industry best practices Ability to interact effectively with others on varying technical competency, vendors, management, and staff Manages competing demands and changes approach or method to best fit the situation Takes responsibility for own actions; Keeps commitments; Commits to required work when necessary to reach goals; Completes tasks on time or notifies appropriate person with an alternate plan. Is actively available to respond when needs arise Volunteers readily, undertakes self-development activities and seeks increased responsibilities; asks for and offers help when needed Operates across multiple projects concurrently and assumes responsibility for implementation of projects Preferred Experience Linux and Mac OS experience are both a strong plus Appreciation and experience in platform/computer/video gaming is preferred! #LI-SMS #LI-AM1 Avoid Recruitment Scams/Phishing Attempts: Please be aware that any official outreach in response to your application will always be done from a @sony.com email address . Always make sure to double check the spelling on Sony is correct and the characters have not been replaced with any numbers/symbols before replying. Anyone using an email that is not @sony.com is not affiliated with us and should be reported either via the platform they are contacting you on or directly to your email service as a phishing attempt/scam. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $86,000 — $129,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role overview: We are seeking a Software Development Manager to lead multiple teams building global consumer products supported by highly available, real-time cloud services. You will lead engineers across client-side, server-side, and full-stack development and remain technically engaged through architecture, design, code, and operational reviews. You will combine technical judgment with empathy and humility, creating the clarity, trust, and autonomy experienced engineers need to do their best work. You will help teams evaluate and adopt AI-assisted engineering practices where they improve quality, productivity, or customer outcomes, with appropriate safeguards for privacy, security, intellectual property, and reliability. Responsibilities: Lead, coach, recruit, and retain engineers across client, server, and full-stack teams while building leadership capacity and providing equitable growth opportunities, timely feedback, and clear performance expectations. Set clear goals and accountability, provide context, and give teams autonomy in how they achieve outcomes. Stay technically engaged through architecture, design, code, and operational reviews while partnering with technical leaders across client applications, APIs, distributed services, data systems, and cloud infrastructure. Translate ambiguous product objectives into achievable technical plans that balance speed, reliability, security, maintainability, cost, and long-term architectural health. Establish practical standards for software design, testing, observability, release management, deployment, documentation, and operational readiness. Improve the resilience, scalability, and performance of services that operate 24/7/365, participate in alert escalation coverage from 8:00 a.m. to 8:00 p.m. Pacific Time, and promote disciplined incident response and learning-focused reviews that produce durable improvements without blame. Evaluate and advance responsible uses of AI across discovery, development, testing, debugging, documentation, operations, and customer-facing product capabilities. Partner with Product, Design, Data, Security, and other leaders to deliver valuable consumer experiences and communicate priorities, tradeoffs, risks, decisions, and outcomes clearly to technical and nontechnical stakeholders. Skills and Qualifications: Software development experience sufficient to evaluate architecture, understand code, assess tradeoffs, and guide technical decisions across client applications, APIs, distributed systems, cloud services, and the interactions between device software and backend platforms. Experience managing more than one engineering team, or comparable experience leading a complex organization with multiple technical workstreams. Experience developing and releasing customer-facing software across client-side, server-side, or full-stack systems. Experience with client release lifecycles, such as device or operating-system compatibility, staged rollouts, telemetry, backward compatibility, and coordination with service deployments. Experience building or operating production services, including observability, scalability, performance, reliability, or incident management. Evidence of delivering product outcomes while improving engineering quality, team capability, or organizational effectiveness through clear communication, sound tradeoffs, and effective cross-functional collaboration. Experience coaching engineers across career stages and addressing performance expectations with clarity, consistency, and care. Sound judgment about the opportunities, risks, and limitations of AI-assisted engineering or AI-powered products, with prior delivery of an AI product not required. Preferred: Experience building and releasing global consumer products with meaningful scale, availability, latency, or device-compatibility requirements. Experience with Java, JavaScript, or TypeScript, or with comparable languages and ecosystems. Experience with public-cloud platforms and cloud-native architectures. Familiarity with mobile, web, streaming, messaging, event-driven, connected-device, embedded, or other real-time technologies. Experience coordinating releases across client applications and cloud services, or leading geographically distributed or hybrid teams. Experience introducing AI development tools, delivering AI-powered capabilities, or leading product or technical transformation. A bachelor's degree in computer science, engineering, or a related discipline, or equivalent practical experience. If your experience is transferable but does not match every preferred qualification, we encourage you to apply. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $184,600 — $277,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: 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 an Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top digital native enterprises, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue within a book of strategic digital native accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your account's landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead expansion by pinpointing new use cases and business units. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic account Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solution Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify robust set of business drivers behind all opportunities Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders Experience selling emerging technologies or complex solutions to large digital native companies. Ability to navigate technical evaluations and translate complex capabilities into business value A strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups A consultative sales approach with focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions A high level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously A passion for AI and emerging technologies with enthusiasm for helping organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 Anthropic is seeking a Regulatory Counsel to lead our legal work on AI regulation in the United States and to support our global AI regulatory posture. In this role, you will be an in-house regulatory lawyer for Anthropic's US AI regulation and a key contributor to our global frontier AI compliance strategy. You will provide regulatory-readiness counseling as new laws are developed, day-to-day advice once they are in force, and legal support for Anthropic's non-contentious engagement with US regulators and standards bodies. While the role is US-focused, AI regulation is inherently global: you will help ensure a consistent worldwide compliance posture, coordinate closely with colleagues leading our EU and international workstreams, and contribute to EU AI Act and other international work where it overlaps with your areas. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, cross-functionally with Legal, Compliance, Safeguards, Security, Policy, Research, and product teams. Key responsibilities Serve as one of Anthropic's lead in-house regulatory counsel for US AI regulation, covering applicability analysis, readiness, day-to-day advice, and compliance-program design Own US regulatory compliance deliverables end to end, such as published safety and transparency frameworks, model documentation obligations, and incident-reporting requirements Track legislative, regulatory, and standards developments across US federal and state jurisdictions (and internationally where relevant), assess applicability and impact on Anthropic's business and products, and design compliance approaches well in advance of obligations taking effect Counsel legal, compliance, safety, security, and business teams on day-to-day regulatory questions once laws are in force, translating complex and often ambiguous requirements into practical guidance and scalable compliance programs Support Anthropic's engagement with US AI regulators, enforcement agencies, and standards bodies — including notifications, information requests, reporting obligations, and voluntary framework and standards processes — in close partnership with Policy Partner with Anthropic's Policy and Policy Legal teams on pre-legislative and rulemaking engagement, including comment letters and regulatory submissions, translating policy positions into legally-grounded regulatory positions Partner with Anthropic's Litigation and Regulatory Investigations Legal teams on litigation and regulatory enforcement concerning AI regulation Contribute to Anthropic's global frontier AI regulatory work where it intersects with US obligations Minimum qualifications JD from an accredited law school and active membership in at least one US state bar Hands-on experience advising a technology business (in-house or at a leading law firm) on emerging regulatory regimes, including taking questions from first read of a statute through to a documented compliance position and a shipped artifact Experience engaging with regulators, enforcement agencies, or standards bodies in a non-contentious supervisory capacity Experience drafting regulatory compliance deliverables, such as compliance policies, regulatory submissions, or published compliance frameworks Ability to communicate complex legal concepts clearly to technical, policy, product, and business audiences Preferred qualifications 8–12 years of regulatory legal experience, with substantive depth in technology regulation and hands-on exposure to AI-specific frameworks Direct experience with frontier AI regulatory regimes — California SB 53, the Colorado AI Act, or comparable state laws; or the EU AI Act and GPAI Code of Practice Experience at a frontier AI company, large technology platform, or other hyper-scaling technology business operating under novel regulatory regimes Familiarity with adjacent laws that intersect with AI regulation — e.g., privacy and data protection, consumer protection, product safety, and export controls Familiarity with model evaluation, capability testing, or AI safety concepts A background that combines private practice and in-house experience Comfort with ambiguity and the ability to develop novel compliance approaches in areas without established precedent Strong organizational skills to run several workstreams in parallel and keep compliance artifacts current without prompting Excellence at cross-functional collaboration Passion for responsible AI development and getting the balance right between innovation and appropriate safeguards Understanding of how to build constructive long-term relationships with regulators and standards bodies Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 — $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.