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Location: ES - Barcelona, Spain Scopely is seeking a Marketing Data Scientist to join our Marketing Analytics team in Barcelona, Spain , on a hybrid basis. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily. As a Marketing Data Scientist, you will be part of the Marketing Analytics team, which is responsible for executing the cross-portfolio analytics initiatives for Scopely’s User Acquisition and Ads teams. What You Will Do develop and maintain models that guide paid media investment, including spend-response curves, player lifetime value forecasts, user acquisition forecasts, and budget optimization approaches measure the effectiveness and incremental impact of advertising using sound statistical methods work on Ads initiatives to improve player experience while optimizing monetization, enhance our strategy in ads bidding, etc. translate model outputs into clear recommendations on where and when to invest, explaining expected outcomes, uncertainty, and key assumptions to marketing and finance partners. partner with User Acquisition, Ads, Finance, and Analytics Engineering teams to turn reliable data science into tools and workflows that support recurring marketing decisions What We're Looking For 3+ years of experience as a Data Scientist. Background in performance marketing and mobile free-to-play gaming is strongly preferred excellent analytical and problem-solving skills, with a track record of using data to drive meaningful outcomes preferred experience in applying marketing modeling techniques e.g., media mix modeling, time series forecasting, segmentation/clustering advanced SQL and hands-on Python skills for working with large datasets, developing analyses, and building reliable, scalable models; exposure to Google Cloud Platform and BigQuery is a plus working knowledge of visualization tools: Looker (Preferred), QlikView, Tableau, or PowerBI proficiency in developing and operating production data science workflows, including orchestration with tools such as Airflow and containerization with Docker; cloud deployment, CI/CD, and monitoring experience is a plus strong communication skills and the ability to explain clearly to both technical and non-technical stakeholders, influencing decision-making through structured storytelling and data-evidence-based recommendations Bachelor’s degree in a quantitative or scientific field, or equivalent practical experience, is a big plus experience in the games industry, or interest in video/mobile games and the evolving in-game advertising field, is a plus but not required At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! Please ensure that the résumé/CV you attach is written in English. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Los Angeles, USA As a Senior Manager, ML Engineering , you will lead the Machine Learning Engineering team responsible for building and operating machine learning systems that power League of Legends. This team delivers both player-facing ML experiences and developer-facing ML tools, enabling in-game and around-game capabilities such as recommendations, player behavior modeling, matchmaking, and experimentation-driven personalization. In this role, you will be accountable for the technical vision, execution, and business impact of ML applications in League of Legends. You will shape the end-to-end ML engineering strategy, from data and feature pipelines to model development, deployment, evaluation, and operations, ensuring systems are scalable, reliable, and measurable in production. You will partner with development themes’ product and production leaders to enable the development of League of Legends existing and future player experiences. You will report to the Data Engineering Director of League Insights. This role is based out of our Los Angeles Headquarters. Responsibilities: Manage a team of highly skilled engineers, driving performance, developing future leaders, identifying growth opportunities, and ensuring strong delivery and outcomes. Define, own, and socialize an engineering vision for the organization, working with cross-functional and engineering leaders to create a long-term organizational and staffing plan aligned with technical and product goals. Contribute to all parts of team leadership, including budgeting, recruiting, hiring, mentoring, performance management, and managing contingent staff. Set direction for MLOps & modeling efforts across the ML product lifecycle, continuously improving model quality, efficiency, reliability, and operational excellence. Collaborate closely with cross-functional partners across LoL PC, including product management and technical production, to deliver scalable, reliable, and high-impact ML-powered solutions. Foster effective communication and collaboration within engineering teams, central MLE groups, and across other LoL PC departments. Build stronger cross-Riot MLE craft support and contribute towards ongoing improvements to craft standards. Stay current with industry trends and emerging technologies in applied ML and MLOps, guiding pragmatic adoption of best practices that improve product quality and player impact. Continue to hone your individual skills so you can deliver projects in a Player-Coach dynamic. Required Qualifications: Bachelor’s degree in Computer Science or a related field, or equivalent experience. 10+ years of experience building and operating large-scale software systems, with significant experience in production ML systems. Strong expertise in computer science fundamentals, including system design, data structures, and algorithms. Experience with Java, C++, Python, or similar languages in large-scale, production environments. Deep knowledge of MLOps & modeling best practices, including model lifecycle management, experimentation, monitoring, and deployment at scale. Experience collaborating across multiple teams, departments, and disciplines to create solutions. Experience with project planning, prioritization frameworks, and guiding investment strategies across people, platforms, and systems. Desired Qualifications: Master’s degree in Computer Science or a related field, or equivalent experience. Familiarity with Responsible AI frameworks, fairness considerations, and long-term player impact measurement. Experience with large-scale experimentation platforms and online evaluation frameworks. Experience leading full-stack teams. Experience leading distributed or remote teams. For this role, you will find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Houston DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Junior Trade Operations Analyst – North America Power The Role Our North America Energy Commercial Operations team is hiring a Junior Trade Analyst in Houston. You will support our US Power, Environmental and Softs trading and origination teams across the full trade lifecycle, from booking and physical scheduling to daily P&L and settlement support. You will work every day with traders, originators, settlements, operations, accounting and engineering, and help build the tools that make those processes faster and more reliable. This is an in-office role; supporting the daily P&L close can extend into the evening on busy days. What You'll Do Produce and review daily and next-day P&L, investigate variances, and explain P&L drivers to traders and management Book and maintain financial and physical power, environmental and structured trades in our trading system Schedule physical power with ISOs and counterparties and confirm schedules Support environmental products, including auctions and registry accounts, and physical softs operations, including deliveries, storage and invoicing Support FTR trading, auctions, transfers, reconciliations and P&L checks Partner with settlements and operations to resolve trade and invoice discrepancies Test system changes before release and work with engineering to resolve production issues Automate manual workflows using Python, SQL, APIs and AI tools What We're Looking For Bachelor's degree in Mathematics, Engineering, Economics, Finance, Accounting or a related field; 0 to 2 years of experience Strong Excel skills and comfort working with large data sets Programming experience, preferably in Python, and an interest in building tools Exceptional accuracy and attention to detail, including with sensitive financial data Ability to work independently and prioritize requests from many stakeholders Clear written and verbal communication and a genuine interest in energy markets Nice to Have Coursework or experience in power markets, ISO operations, FTRs or physical power Exposure to an ETRM system (Endur/OpenLink preferred), SQL or APIs Familiarity with mark-to-market, realized vs. unrealized P&L and the trade lifecycle What You'll Learn How energy trading works end to end: valuation and risk across OTC, FTR, physical and cross-commodity positions, ISO market operations across North America, and how trading, operations and technology work together at a proprietary trading firm. The annual base salary range for this position is $120,000 to $160,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-JW1

Location: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role AI is changing how data practitioners write, debug, and ship dbt code. As Staff Product Manager for Developer Experience , you will set the strategy for how that change plays out in dbt. You will own the vision, roadmap, and outcomes for the end-to-end developer workflow: the Studio IDE , Developer Agent (our AI coding assistant inside dbt Wizard), the Cloud CLI , and the dbt VS Code Extension . These surfaces are the daily home of tens of thousands of data practitioners, from seasoned analytics engineers to newer practitioners who rely on AI to move faster with confidence. This is a Staff-level role with broad scope and direct influence on company direction. You will be the key partner to the Fusion team , the engine behind dbt’s next-generation compilation and intelligence. You will decide how Fusion’s capabilities become differentiated developer experiences, and you will make sure developer needs shape the Fusion roadmap. The feedback loop between Developer Experience and Fusion is central to how dbt Cloud evolves, and you will be its architect. We are looking for someone who is both strategic and hands-on: a leader who can define where AI-native developer tooling is going, and who is deeply passionate about AI agents and what it takes to build them well. In This Role, You Will Set strategy and own the roadmap Define and own the multi-year vision and roadmap for developer experience across Studio IDE, Developer Agent, Cloud CLI, and the VS Code Extension, and translate it into clear priorities, sequencing, and tradeoffs. Align developer experience investments with company strategy, product-led growth goals, and the Fusion platform direction. Set success metrics and hold yourself accountable for the outcomes. Make high-stakes bets on where to invest, what to build, and what not to build, using market insight, customer evidence, and technical judgment. Lead AI agent product development Define what a best-in-class AI coding agent looks like for the full range of dbt users. This includes agentic workflows, multi-step task execution, context management, natural language interaction, and guided experiences that meet users where they are. Shape principles for trust, transparency, control, and evaluation in agentic experiences, so users can rely on the agent for real work. Track the fast-moving AI development landscape (Copilot, Cursor, Devin, and beyond) and turn it into a differentiated point of view, not just feature parity. Drive cross-functional execution and influence Partner with the Fusion team to co-define the boundary between platform and product, agree on API contracts, and keep roadmaps coordinated. Lead engineering, design, and GTM teams through a predictable shipping cadence, and keep teams aligned on what matters and why. Influence senior leadership and stakeholders across the company with crisp strategy docs, compelling demos, and clear framing of complex tradeoffs. Mentor other PMs and raise the bar for product craft, rigor, and technical depth across the organization. Stay close to users and the market Build tight feedback loops with the dbt community and enterprise customers, with particular attention to power users and technical practitioners. Use user research and competitive analysis to ground strategy in evidence and bring a sharp external perspective into planning. What Success Looks Like A clear, widely understood developer experience strategy that engineering, design, and leadership are aligned behind. Developer Agent is recognized as a differentiated, well-regarded AI coding product for data practitioners, not just a feature. Developer satisfaction and engagement (activation, session depth, feature adoption) The Fusion partnership runs on shared roadmap visibility, clear contracts, and coordinated launches. The Cloud CLI is a first-class product that developers actively choose. You’re a Good Fit If You Have 8+ years of product management experience , including a track record of owning strategy and roadmap for developer platforms at scale. Direct experience owning developer environment products , with an informed point of view on what makes development tools excellent and where modern IDEs fall short. Hands-on experience with AI agents. You have built, shipped, or led agentic features (multi-step LLM workflows, tool use, context management, evaluation), and you are passionate about the space. You use AI coding assistants daily and have strong, well-reasoned opinions about what works and what doesn’t. A history of leading complex, cross-functional initiatives and influencing without authority, including across platform and product team boundaries. A strong technical foundation: you can reason about system architecture, engage deeply with engineers, and contribute to technical decisions. Experience turning user research and developer feedback into prioritized, well-scoped product work. Excellent written and verbal communication, from crisp specs to executive-level narratives. Comfort working asynchronously on a distributed, remote team. You’ll Have an Edge If You Have Experience building or shipping AI agent products at the frontier, such as agentic UX, evaluation frameworks, or agent orchestration. Hands-on experience with dbt or similar SQL-first transformation frameworks. Familiarity with LSP, tree-sitter, or other IDE infrastructure primitives. Experience with CLI tooling and developer workflow automation. Background in open source or strong engagement with developer communities. Knowledge of modern data warehouses (Snowflake, BigQuery, Databricks, Redshift) and the analytics engineering ecosystem. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $243,936 — $304,920 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Milan, Italy 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 Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to public sector organisations across Italy. You'll drive the adoption of safe, frontier AI by securing strategic agreements with central government ministries, regional and local administrations, and public agencies. You'll leverage your consultative sales expertise in the public sector to propel revenue growth while becoming a trusted partner to public sector stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in citizen services, administration, and research. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with public sector decision-makers. 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 public institutions obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the public sector in Italy. Navigate complex public institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to public procurement cycles and budgeting processes, including tenders, framework agreements, and partner or resale routes, to meet and exceed revenue quotas. Analyse public sector landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within ministries, agencies, and administrative departments. Collaborate cross-functionally to differentiate our offerings for public sector applications Navigate complex public sector stakeholder ecosystems including senior officials, digital and technology leaders, IT departments, and procurement offices to build consensus Lead conversations with customers on data sovereignty, security, and compliance, working with Security, Legal, and Product colleagues on how we meet those requirements Inform product roadmaps and features by gathering feedback from public sector users and conveying public sector needs. Provide insights that strengthen our value proposition for public institutions Continuously refine the public sector sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 7+ years of B2B sales experience in SaaS, API solutions, or emerging technologies, including selling to public sector organisations in Italy A track record of managing complex sales cycles within public institutions and securing strategic agreements by understanding both technical requirements and public sector use cases Practical command of Italian public procurement, including tenders, framework agreements, central purchasing bodies, and partner or resale routes Demonstrated ability to navigate public sector organisational structures, building consensus among diverse stakeholders including senior officials, digital and technology leaders, and IT departments Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various public sector audiences, from technical teams to senior officials Deep understanding of public sector buying cycles, decision-making processes, and key pain points, including data sovereignty, security, and compliance requirements A strategic, analytical approach to assessing the public sector market combined with creative, tactical execution to capture opportunities Bilingual proficiency in Italian and English, with excellent written and spoken communication in both A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for use by public institutions Nice to have: familiarity with the security and compliance frameworks that apply to technology purchasing in the Italian public sector. Il ruolo In qualità di Enterprise Account Executive in Anthropic, entrerai a far parte del team fondatore impegnato in prima linea nel portare la nostra API di produttività basata su IA all'avanguardia e le nostre soluzioni SaaS alle organizzazioni del settore pubblico in Italia. Promuoverai l'adozione di un'IA di frontiera e sicura concludendo accordi strategici con ministeri e amministrazioni centrali, amministrazioni regionali e locali ed enti pubblici. Metterai la tua esperienza di vendita consulenziale nel settore pubblico al servizio della crescita dei ricavi, diventando un partner di fiducia per gli interlocutori del settore e aiutandoli a integrare e adottare l'IA e a scoprirne tutte le potenzialità nei servizi ai cittadini, nell'amministrazione e nella ricerca. In collaborazione con i team GTM, Prodotto e Marketing, perfezionerai costantemente la nostra proposta di valore, la nostra metodologia di vendita e il nostro posizionamento, perché siano rilevanti per chi prende le decisioni nel settore pubblico. Il profilo ideale ha la passione per lo sviluppo di nuovi segmenti di mercato, per l'individuazione delle opportunità ad alto potenziale e per l'attuazione delle strategie necessarie a coglierle. Favorendo la diffusione dei prodotti emergenti di Anthropic, aiuterai le istituzioni pubbliche ad acquisire nuove capacità, contribuendo al tempo stesso allo sviluppo etico dell'IA. Responsabilità: Acquisire nuovi clienti e generare ricavi per Anthropic nel settore pubblico in Italia. Orientarti all'interno di istituzioni pubbliche complesse per raggiungere le figure decisionali chiave, far conoscere i nostri servizi e aiutarle ad avere successo con Anthropic. Sarai responsabile dell'intero ciclo di vendita, dal primo contatto alla chiusura. Definire e attuare strategie di vendita innovative, adatte ai cicli degli appalti pubblici e ai processi di bilancio, comprese gare, accordi quadro e canali di vendita tramite partner o rivenditori, per raggiungere e superare gli obiettivi di fatturato. Analizzare lo scenario, le tendenze e le dinamiche del settore pubblico per tradurre i piani strategici in attività e campagne commerciali mirate. Guidare l'espansione sul mercato individuando nuovi casi d'uso all'interno di ministeri, enti e uffici amministrativi. Collaborare in modo trasversale per differenziare la nostra offerta per le applicazioni del settore pubblico. Muoverti in ecosistemi complessi di interlocutori del settore pubblico (dirigenti apicali, responsabili della trasformazione digitale e della tecnologia, direzioni IT e uffici acquisti) per costruire consenso. Guidare il confronto con i clienti su sovranità dei dati, sicurezza e conformità normativa, lavorando con i team Sicurezza, Legale e Prodotto sul modo in cui rispondiamo a questi requisiti. Contribuire alla roadmap e alle funzionalità di prodotto raccogliendo il feedback di chi utilizza le nostre soluzioni nel settore pubblico e portandone all'interno le esigenze. Fornire indicazioni che rafforzino la nostra proposta di valore per le istituzioni pubbliche. Perfezionare costantemente la metodologia di vendita per il settore pubblico, integrando quanto appreso in playbook, modelli e buone pratiche. Individuare miglioramenti di processo che ottimizzino la produttività e la coerenza commerciale. Potresti essere la persona giusta se hai: Almeno 7 anni di esperienza nella vendita B2B (SaaS, soluzioni API o tecnologie emergenti), compresa la vendita a organizzazioni del settore pubblico in Italia Una comprovata esperienza nella gestione di cicli di vendita complessi all'interno di istituzioni pubbliche e nella conclusione di accordi strategici, fondata sulla comprensione sia dei requisiti tecnici sia dei casi d'uso del settore pubblico Una padronanza concreta degli appalti pubblici italiani: gare, accordi quadro, centrali di committenza e canali di vendita tramite partner o rivenditori Una capacità dimostrata di muoverti nelle strutture organizzative del settore pubblico, costruendo consenso tra interlocutori diversi, tra cui dirigenti apicali, responsabili della trasformazione digitale e della tecnologia e direzioni IT Un'esperienza comprovata nel superare gli obiettivi di fatturato grazie a una gestione efficace di una pipeline e di un processo di vendita in continua evoluzione Eccellenti capacità di comunicazione e la sicurezza necessaria per presentare a interlocutori diversi del settore pubblico, dai team tecnici ai dirigenti apicali Una conoscenza approfondita dei cicli di acquisto, dei processi decisionali e delle principali criticità del settore pubblico, compresi i requisiti di sovranità dei dati, sicurezza e conformità normativa Un approccio strategico e analitico al mercato del settore pubblico, unito a un'esecuzione tattica e creativa per cogliere le opportunità Padronanza dell'italiano e dell'inglese a livello bilingue, con un'eccellente comunicazione scritta e orale in entrambe le lingue Passione per i sistemi di IA avanzati e le loro applicazioni, o esperienza diretta con essi. Ti sta a cuore che i sistemi di IA di frontiera siano sviluppati in modo sicuro ed etico per l'uso da parte delle istituzioni pubbliche. Costituisce titolo preferenziale: familiarità con i quadri di sicurezza e conformità normativa applicabili agli acquisti di tecnologia nel settore pubblico italiano. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Madrid, Spain 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 Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to public sector organisations across Spain. You'll drive the adoption of safe, frontier AI by securing strategic agreements with central government ministries, regional and local administrations, and public agencies. You'll leverage your consultative sales expertise in the public sector to propel revenue growth while becoming a trusted partner to public sector stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in citizen services, administration, and research. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with public sector decision-makers. 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 public institutions obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the public sector in Spain. Navigate complex public institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to public procurement cycles and budgeting processes, including tenders, framework agreements, and partner or resale routes, to meet and exceed revenue quotas. Analyse public sector landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within ministries, agencies, and administrative departments. Collaborate cross-functionally to differentiate our offerings for public sector applications Navigate complex public sector stakeholder ecosystems including senior officials, digital and technology leaders, IT departments, and procurement offices to build consensus Lead conversations with customers on data sovereignty, security, and compliance, working with Security, Legal, and Product colleagues on how we meet those requirements Inform product roadmaps and features by gathering feedback from public sector users and conveying public sector needs. Provide insights that strengthen our value proposition for public institutions Continuously refine the public sector sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 7+ years of B2B sales experience in SaaS, API solutions, or emerging technologies, including selling to public sector organisations in Spain A track record of managing complex sales cycles within public institutions and securing strategic agreements by understanding both technical requirements and public sector use cases Practical command of Spanish public procurement, including tenders, framework agreements, central purchasing bodies, and partner or resale routes Demonstrated ability to navigate public sector organisational structures, building consensus among diverse stakeholders including senior officials, digital and technology leaders, and IT departments Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various public sector audiences, from technical teams to senior officials Deep understanding of public sector buying cycles, decision-making processes, and key pain points, including data sovereignty, security, and compliance requirements A strategic, analytical approach to assessing the public sector market combined with creative, tactical execution to capture opportunities Bilingual proficiency in Spanish and English, with excellent written and spoken communication in both A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for use by public institutions Nice to have: familiarity with the security and compliance frameworks that apply to technology purchasing in the Spanish public sector. Acerca del puesto Como Enterprise Account Executive en Anthropic, te incorporarás al equipo fundacional que está a la vanguardia de la introducción de nuestra API de productividad con IA de última generación y de nuestras soluciones SaaS en las organizaciones del sector público en España. Impulsarás la adopción de una IA de vanguardia y segura mediante acuerdos estratégicos con ministerios de la Administración General del Estado, administraciones autonómicas y locales y organismos públicos. Pondrás tu experiencia en venta consultiva en el sector público al servicio del crecimiento de los ingresos y te convertirás en un socio de confianza para los interlocutores del sector, ayudándoles a integrar y desplegar la IA y a descubrir todo su potencial en los servicios a la ciudadanía, la administración y la investigación. En colaboración con los equipos de GTM, Producto y Marketing, perfeccionarás de forma continua nuestra propuesta de valor, nuestra metodología de ventas y nuestro posicionamiento para que conecten con quienes toman las decisiones en el sector público. El perfil ideal siente pasión por desarrollar nuevos segmentos de mercado, identificar oportunidades de alto potencial y ejecutar las estrategias que permiten aprovecharlas. Al impulsar el despliegue de los productos emergentes de Anthropic, ayudarás a las instituciones públicas a adquirir nuevas capacidades y contribuirás al desarrollo ético de la IA. Responsabilidades: Conseguir nuevos clientes y generar ingresos para Anthropic en el sector público en España. Orientarte en instituciones públicas complejas para llegar a las personas clave en la toma de decisiones, darles a conocer nuestros servicios y ayudarles a tener éxito con Anthropic. Serás responsable de todo el ciclo de venta, desde el primer contacto hasta el cierre. Diseñar y ejecutar estrategias comerciales innovadoras adaptadas a los ciclos de contratación pública y a los procesos presupuestarios, incluidas las licitaciones, los acuerdos marco y las vías de venta a través de partners o revendedores, para alcanzar y superar los objetivos de ingresos. Analizar el panorama, las tendencias y la dinámica del sector público para convertir los planes estratégicos en acciones y campañas comerciales específicas. Liderar la expansión en el mercado identificando nuevos casos de uso en ministerios, organismos y departamentos administrativos. Colaborar de forma transversal para diferenciar nuestra oferta en las aplicaciones del sector público. Desenvolverte en ecosistemas complejos de interlocutores del sector público (altos cargos, responsables de transformación digital y tecnología, departamentos de TI y órganos de contratación) para generar consenso. Liderar las conversaciones con los clientes sobre soberanía del dato, seguridad y cumplimiento normativo, trabajando con los equipos de Seguridad, Legal y Producto en la forma en que respondemos a esos requisitos. Contribuir a la hoja de ruta y a las funcionalidades del producto recogiendo las opiniones de las personas usuarias del sector público y trasladando sus necesidades. Aportar ideas que refuercen nuestra propuesta de valor para las instituciones públicas. Perfeccionar de forma continua la metodología de ventas para el sector público incorporando lo aprendido a playbooks, plantillas y buenas prácticas. Identificar mejoras de proceso que optimicen la productividad y la coherencia comerciales. Este puesto puede encajar contigo si tienes: Al menos 7 años de experiencia en ventas B2B (SaaS, soluciones API o tecnologías emergentes), incluida la venta a organizaciones del sector público en España Una trayectoria demostrada en la gestión de ciclos de venta complejos en instituciones públicas y en el cierre de acuerdos estratégicos, basada en la comprensión tanto de los requisitos técnicos como de los casos de uso del sector público Un dominio práctico de la contratación pública española: licitaciones, acuerdos marco, centrales de compras y vías de venta a través de partners o revendedores Capacidad demostrada para desenvolverte en las estructuras organizativas del sector público y generar consenso entre interlocutores diversos, entre ellos altos cargos, responsables de transformación digital y tecnología y departamentos de TI Experiencia contrastada superando objetivos de ingresos gracias a una gestión eficaz de un pipeline y un proceso de venta en constante evolución Excelentes habilidades de comunicación y soltura para presentar ante públicos diversos del sector público, desde equipos técnicos hasta altos cargos Un conocimiento profundo de los ciclos de compra, los procesos de decisión y los principales retos del sector público, incluidos los requisitos de soberanía del dato, seguridad y cumplimiento normativo Un enfoque estratégico y analítico del mercado del sector público, combinado con una ejecución táctica y creativa para aprovechar las oportunidades Nivel bilingüe de español e inglés, con una excelente comunicación oral y escrita en ambos idiomas Pasión por los sistemas avanzados de IA y sus aplicaciones, o experiencia con ellos. Te importa de verdad que los sistemas de IA de vanguardia se desarrollen de forma segura y ética para su uso por parte de las instituciones públicas. Se valorará: familiaridad con los marcos de seguridad y cumplimiento normativo aplicables a la contratación de tecnología en el sector público español. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role A connected Claude is the difference between a general-purpose chatbot and a real coworker. We're building the connected enterprise on three fronts: zero-touch activation, a thriving connector ecosystem, and an enterprise control plane that lets organizations adopt with confidence. We own the path from discovering a connector to using it every day: default and suggested connectors, one-click setup, connector requests, and the identity and admin pieces that remove setup friction for a whole organization at once. You'll be a technical leader who owns activation end to end, from the moment someone sees a connector to their first successful use of it. You'll also help to shape the foundations that help the connector ecosystem grow, and the governance controls that make it safe at enterprise scale. You'll partner closely with product, design and data science, and carry real ownership over what we ship next. What you'll do Own connector activation end to end: measure the funnel from discovery to first use to habit, find the biggest drop-offs, and fix them Build and run experiments on default connectors, in-product suggestions, connector requests and onboarding flows Make setup close to zero-touch, building on open standards like Cross App Access (XAA) and the MCP authorization spec so one approval can turn a connector on for everyone Improve the connectors people reach for most, like Microsoft 365 and Google Workspace, so the first experience works and keeps working Lay platform foundations for the connector ecosystem: reusable building blocks that make every new connector easier to launch, discover and activate Build out the enterprise control plane: admin controls and governance (domain restrictions, labels, permissions) that help security teams say yes faster instead of blocking rollout Partner with product, design, data science and sales to turn usage data and customer feedback into priorities Set technical direction and standards for the team, mentor other engineers, and lead with influence rather than authority Minimum Qualifications Have shipped growth or activation work: onboarding flows, funnels, experimentation, and measuring what actually moves usage Are comfortable with authorization and identity (OAuth 2.0, OIDC, SSO), enough to make setup flows simple without cutting corners Have built on large platform APIs (Microsoft Graph, Google Workspace or similar) and can debug failures on both sides of the boundary Have built platform or ecosystem surfaces that other teams or developers rely on, and care about durable, well-designed APIs Understand what enterprise admins and security teams need from policy, permissions and governance at scale Use data and user research to decide what to build, and can explain the tradeoffs to product and design partners Drive cross-team and cross-company alignment to ship, with influence over authority Preferred Qualifications Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Contributed to or implemented emerging auth standards (IETF OAuth drafts, MCP authorization) Experience with data governance or information protection (sensitivity labels, DLP) Built admin consoles or policy engines for multi-tenant SaaS Run growth experiments on activation funnels Built AI products or agent tool integrations (MCP) Helped grow a developer or partner ecosystem around a platform The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly, United States 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 compute runs on a growing global portfolio of data centers built with development partners.  As a Senior Field Engineer on the Data Center Design and Engineering team, you will work side by side with developers, general contractors and engineers of record to resolve technical issues on site and speed up construction. You will spend most of your time on active sites, acting as our team's eyes, voice and technical judgment in the field. You will spot problems first, get the right people moving, and stay with each issue until it is closed. You don't need a data center background. We care more about whether you have delivered complex industrial projects from the field and can get contractors and partners to act when you have no formal authority over them. What you'll do Be our engineering presence on site. You will walk installed work against the approved design and build working relationships with developers, general contractors, engineers of record, vendors and commissioning teams. You will hold design acceptance on our team's behalf, deciding whether installed work meets the design. When field conditions and drawings disagree, you will be the first call. You will settle what you can on the spot and bring in the right discipline engineer for the rest. More than 50% of your working time will be at project sites, often with overnight travel across multiple sites. The rest will be remote from your home base. Get issues closed. You will keep one prioritized list of open engineering issues for your sites, each with an owner and a date. You will follow up in person, challenge dates that don't hold up, and escalate early with a clear recommendation when something is stuck. Find out why things fail. When equipment, an installation or a test fails, you will gather the evidence, test the first explanation, and trace the failure to its underlying cause. You will confirm that the fix works and check whether other sites carry the same risk. Clear the path to commissioning and handover. You will check the interfaces between power, cooling, controls and structure before they surface as test failures. You will drive RFIs, deviations and field changes to decisions, so that open engineering questions don't hold up the crews. Bring the field back into the design. You will turn recurring site problems into changes to our designs, standards and audit checklists. Each project should make the next one easier to deliver. What this role is not You won't manage construction crews or direct contractors' means and methods; those stay with our construction delivery partners. You will work with our discipline engineers and hold the field view, rather than produce design documents. You may be a good fit if you Have spent years on active project sites in energy, power, heavy industrial, data center or similar environments, as an engineer, project manager, or construction or commissioning lead Can read drawings, single-line diagrams, P&IDs, specifications and schedules well enough to see where they disagree with what's been installed Can give specific examples of persuading contractors, vendors or partners who didn't report to you to change course Hold your position under pressure, back it with evidence, deliver bad news early, and change your mind when the facts change Have led structured failure investigations, using a method such as 5 Whys or 8D, and seen the corrective actions through Write short, factual reports that a busy reader can act on Treat safety as your own job, and will stop work that isn't safe Have a degree in engineering, construction management or a related field, or equivalent practical experience Strong candidates may also have Experience as an owner's representative overseeing an EPC or general contractor Commissioning, startup or system turnover experience Worked in LNG, refining, offshore, power generation, semiconductor or naval environments An electrical, mechanical or civil, structural and architectural (CSA) engineering background A PE license, PMP or OSHA 30 certification Familiarity with tools such as Procore or Primavera P6 The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Los Angeles, USA As Technical Producers at Riot, we lead passionate technical teams to create products and experiences that achieve maximum developer, operator, and player value. We guide development, clear blockers, and push projects across the finish line while ensuring our teams are sustainable and foster a collaborative environment. As a Sr. Principal Technical Producer at this level on the DevCon team, you will apply our production framework and operating system across defined capability areas within Code, Build, and Release. You will contribute to the operational strategy for our organization, the talent strategy for the production group, and the operating model that DevCon teams run on. You will report to the DevCon lead for Technical Production. Responsibilities: Translating approved portfolio direction into executable technical roadmaps, reallocating resources and shifting organizational priorities to maximize strategic value. Directly shape department, BU, or region strategy through team and initiative leadership, and drive operational strategy within your organization. Drive production processes for the BU, working with BU leadership to build, adopt, and implement them within teams. Create alignment between organizations working toward common or complementary goals, and build systems that proactively surface conflict and route it to resolution. Lead significant change across multiple teams, processes, and efforts where the change has major effects on product, operations, or organization. Support recruiting and hiring across the BU as a trusted interviewer, contribute to interview kits and TA efforts, and mentor senior-level producers and leaders in other disciplines. Represent organizational delivery health, investment posture, and risk to executive stakeholders. Required Qualifications: Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience. Minimum of 10+years of experience in technical production, technical program management, or engineering leadership. Demonstrated ownership of operational strategy for an organization, with decisions of large to critical business impact. Broad understanding of many relevant technical domains and how they interact, with the ability to drive difficult technical decisions among leaders with opposing views. Desired Qualifications: Agile certifications from Scrum Alliance, Scrum.org , PMI, or ICAgile Advanced Atlassian Power User (Jira Product Discovery, Jira Space Administration, Jira Plans) or Atlassian certifications. 4+ years managing people and experience growing teams and direct reports to achieve organizational goals. Experience building or supporting operational platforms, internal developer tooling, or cloud-based services. Experience with SRE, DevOps, Platform Engineering, or incident response organizations. Experience delivering software for globally scaled, highly available systems. Experience building business cases and funding asks for technical investment. Experience owning portfolio level investment tradeoffs and funding cases. Experience with multi-year planning horizons and cross-portfolio dependency management. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer, Customer Memory. About the job This position is needed to build and scale the pipelines that turn raw conversation data into structured, searchable customer memory, and the evaluation systems that keep that memory accurate as the product evolves. You'll join the Conversation Memory team, which builds the memory layer behind Twilio's Conversational AI platform: the systems that extract what matters from millions of conversations, resolve it to the right customer, and retrieve it in milliseconds when an agent needs it. Memory that is wrong, stale, or crossed between customers is worse than no memory at all, so quality measurement is a first-class part of the work. Responsibilities In this role, you’ll: Build the extraction pipeline that turns raw data into structured memory, tuning the LLM prompts and schemas that decide what an AI agent remembers about a customer and what it forgets. Own the retrieval path that answers "what do we know about this person?" in milliseconds, working with embeddings, vector search, and ranking Contribute to the eval systems that tell us whether memory is actually getting better, turning a fuzzy question of quality into benchmarks and regression gates that run before every change ships. Diagnose production issues across the ingestion, extraction, and indexing path using logs, metrics, and traces. Partner with Product and ML teams to translate customer problems into system changes and evaluation criteria. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience building backend services, and a demonstrated ability to pick up new languages, frameworks, and tools as the problem demands. A curious approach to service management: ability to investigate how systems actually behave in production, and desire to continuously learn how to operate them with rigor and accountability. Experience building or working with evaluation/quality-measurement systems, such as regression detection or quality metrics, or the desire to learn. Solid grounding in observability practices: structured logging, metrics, and using them to debug distributed systems in production. Fluency with AI-assisted dev tools (e.g. agents for code generation, review, debugging), applied with deliberate direction and critical thinking. Desired: Experience with Go and/or Python. Experience with event-streaming systems (e.g. Kafka). Experience building LLM-backed products. Practical experience applying ML, e.g. building, evaluating, or productionizing models. Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until November 13, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11702 Customer Service & Operations Coordinator Virtual Assistant Independent Contractor – CPT-11702 Customer Service & Operations Coordinator Virtual Assistant/Business Support VA/Junior-Advanced Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. A California-based motorsports organization operating track-day events, racing programs, driver coaching, and private driving experiences is seeking a full-time Business Support VA to manage customer communication, event registration administration, booking follow-up, and operational coordination. The company hosts approximately 25 track events annually, serving drivers and participants who expect knowledgeable, responsive, and professional customer service. The ideal candidate will bring excellent written English, strong customer-service judgment, accurate administrative skills, and the ability to work from established policies and SOPs. The company will provide training on its specialized booking systems, event procedures, and internal workflows. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Customer Communication & Service Desk Monitor and respond to customer inquiries across Gmail, website forms, MotorsportReg, Shopify Inbox, Instagram messages, and the office phone Provide accurate responses using current event information and approved policies Review customer history and registration details before responding Maintain prompt communication during working hours and meet established response-time expectations Handle routine customer concerns professionally and offer approved alternatives Document conversations, outstanding questions, and required follow-ups Event Registration & Booking Administration Assist with MotorsportReg registration updates, waitlists, transfers, run-group requests, and track credits Process routine registration changes according to approved procedures Track outstanding payments, deposits, agreements, and booking documentation Follow up with customers regarding incomplete registration or event requirements Maintain accurate customer records and escalate exceptions requiring management approval Event & Operations Coordination Collect and organize special requests and important customer information before each event Coordinate administrative information with event managers, instructors, and operations staff Maintain garage assignments, equipment records, and other event-related tracking information Prepare and distribute approved event logistics emails and supporting documents Assist with vendor correspondence, purchasing follow-ups, and routine racing logistics administration Ensure important information reaches the appropriate internal team members before event dates Internal Coordination & Administrative Support Identify the appropriate contact for customer questions, operational requests, and exceptions Prepare concise summaries of issues requiring management approval Escalate pricing exceptions, unapproved refunds, contracts, insurance questions, and significant disputes Assist with basic QuickBooks invoicing using approved procedures Maintain organized records of completed tasks, pending approvals, and customer outcomes Provide routine updates on open customer issues and operational priorities Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Customer service or operations administration experience required Excellent written English and strong proofreading skills required Professional spoken English and confidence handling phone calls required Strong judgment, attention to detail, and administrative accuracy required Experience managing shared inboxes and online customer records required Event coordination, hospitality, logistics, or booking administration strongly preferred Experience handling customer complaints and applying written policies strongly preferred MotorsportReg, Shopify, or QuickBooks familiarity preferred Motorsport or premium customer-service experience is a plus Ability to accommodate scheduled weekend coverage during event periods required IDEAL CANDIDATE PROFILE Exceptional written communicator with a friendly, professional style Patient and composed when communicating with dissatisfied customers Highly organized and accurate with policies, dates, and financial information Proactive about follow-up and resolving routine administrative issues Comfortable managing multiple communication channels Resourceful and capable of identifying when management approval is needed Able to learn specialized event software and internal systems quickly Interested in a long-term role supporting a growing organization APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Google Workspace / Gmail / Google Sheets MotorsportReg – Client Training Provided Shopify / Shopify Inbox – Client Training Provided QuickBooks – Basic Invoice Administration Microsoft Office Internal Operations & Registration Tools – Training Provided Team Messaging & Business Phone Platforms Work Schedule Contracted Hours per Week: 40 Hours ( Additional Scheduled Hours May Be Required During Event Periods ) Scheduled Working Days: Monday–Friday; Brief Weekend Coverage During Scheduled Events Daily Working Time: 9:00 AM–5:00 PM PST Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Junior, Senior, and Advanced Level Contracted Hours per Week: 40 hours/week ( Additional Scheduled Hours May Be Required During Event Periods ) Daily Working Time: 9:00 AM–5:00 PM PST Scheduled Working Days: Monday–Friday; Brief Weekend Coverage During Scheduled Events REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE: Level A-B (Native Or Near-Native English Accent Required) REGION PREFERENCES: Offshore or Nearshore What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: Mexico City, Mexico Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Supervisor, Billing Operations. About the job We are seeking an experienced Billing Supervisor to support end-to-end order processing, invoicing, and post-billing communications for sales teams and customers. In this role, you will work closely with Deal Operations, Revenue Accounting, Collections and Sales to ensure smooth contract execution and issue resolution. You will directly lead and support an operational team based in Mexico while collaborating cross-functionally with global counterparts across the United States, Ireland, and India. Responsibilities In this role, you’ll: Lead and supervise an international team of analysts and senior analysts handling post-billing communications, invoice portal processing, and issue remediation. Oversee daily order management, billing, and communications to ensure timely invoicing, precise contract provisioning, and rapid issue remediation while holding the team accountable to key SLAs. Serve as an escalation point for billing, collections, and order management inquiries, delivering timely resolutions for both internal stakeholders and external customers. Review and validate customer contracts across multiple internal systems to maintain data integrity and accurate financial reporting. Execute and own SOX-compliant month-end reconciliations for billing and provisioning, ensuring full data completeness and accuracy. Coordinate and fulfill audit deliverables for internal/external auditors and tax consultants during quarterly and annual reviews. Drive continuous operational improvements, participate in system enhancement initiatives, and lead new process implementations. Onboard, train, and mentor team members to maintain high operational standards across the team. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 5+ years experience in a billing operations role Experience with Salesforce Experience with supporting team members from a supervisory standpoint Excellent communication skills for internal and external stakeholders Proficiency in Excel Strong attention to detail Ability to prioritize and multitask throughout high volume order processing Ability to identify, analyze, and resolve issues independently Collaborative working style and experience working cross-functionally Ability to support flexible timezone meetings periodically Excellent written, and verbal communication skills in English Desired: Experience working in the SaaS/technology industry Experience working with an international team Knowledge of and experience with SOX controls Experience with Zuora Location This role will be remote, and based in Mexico City, Mexico. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: We're looking for an experienced recruiter to join our Business Recruiting team and support hiring across Notion's Foundation (G&A) organization, including People, Legal, and Finance. You'll be a trusted partner to hiring managers and leaders, owning searches end-to-end, developing creative strategies to find hard-to-reach talent, and helping teams make thoughtful hiring decisions. We're looking for someone who loves the craft of recruiting, thrives on solving complex hiring challenges, and brings a strong sense of ownership, curiosity, and resourcefulness to everything they do. You'll have the opportunity to make a meaningful impact while helping us raise the bar for how we hire at Notion.   This role is based San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Own full-cycle recruiting across People, Legal, and Finance, independently driving searches from intake and sourcing through assessment, offer, and close. - Build trusted hiring partnerships, developing a deep understanding of business needs, proactively communicating progress, and bringing solutions to hiring challenges. - Develop creative sourcing and talent strategies for specialized roles, using market research, talent mapping, and targeted outreach to engage exceptional candidates. - Deliver an exceptional candidate experience, building meaningful relationships and thoughtfully engaging candidates throughout the hiring journey. - Embrace new ways of working, thoughtfully leveraging AI and modern recruiting tools to improve efficiency, quality, and outcomes. SKILLS YOU'LL NEED TO BRING: - 5+ years of full-cycle recruiting experience supporting specialized or niche roles in fast-paced, high-growth environments. - Proven ability to independently source, assess, and close exceptional talent, including hard-to-find candidates. - Strong hiring manager partnership skills, with the confidence to advise, navigate tough conversations, and influence hiring decisions. - A proactive, solutions-oriented approach, using data, market insights, and sound judgment to overcome challenges and drive searches forward. - Excellent communication, organization, and attention to detail, with the ability to prioritize, navigate ambiguity, and deliver an inclusive, high-touch experience. - A collaborative, team-first mindset—we're all gardeners here—with curiosity and a willingness to experiment with AI and emerging tools to improve how we work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $170,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £265,000 — £375,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, California WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion's mission is to make toolmaking ubiquitous—from wikis and documents to notes, tasks, and databases. Strong product intuition and user focus have driven adoption across organizations of all sizes. Millions of users now rely on Notion's building blocks to get work done. As Notion scales, there's a unique opportunity to build the data foundations that help our product and company reach their full potential. You'll design and build reliable, trusted datasets that accelerate decision-making across product and business functions, directly impacting our roadmap and growth. This role is based in our San Francisco Headquarters. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Define ETL processes and infrastructure to make data readily available across the company - Build core datasets as single sources of truth for product and business teams (product, marketing, sales, finance, customer experience, data science, operations, IT, engineering) - Partner with data scientists and stakeholders to understand their needs and design, build, and monitor pipelines that scale with our growing data - Implement automated workflows that reduce operational costs, define SLAs for timely data delivery, and democratize data through self-serve dashboards, discovery tools, and AI-enabled exploration SKILLS YOU'LL NEED TO BRING: - Self-starter who gathers high-impact needs from business partners, designs technical solutions, and communicates clearly about deliverables, timelines, and tradeoffs - 5+ years of experience as a data engineer building core datasets and supporting business functions, with a passion for analytics, data modeling, and solving complex problems - Strong understanding of scalable cloud data solutions (AWS, GCP, Azure) across multiple data stores (Snowflake, Redshift, Hive, SQL/NoSQL, columnar formats) and methodologies (dimensional modeling, data marts, schemas) - SQL expert, proficient with aggregation, window functions, UDFs, self-joins, and optimization techniques for writing correct, high-performance queries - Highly comfortable with object-oriented programming (Python, Java, Scala) - Expert at using AI and agent-based tools to accelerate data development for yourself and others, including defining guardrails, workflows, and context for safe, production-scale data work NICE TO HAVES: - Experience at a fast-scaling or SaaS company, with enthusiasm to contribute in such an environment (current Notion users especially welcome) - Hands-on experience designing and building highly scalable, reliable data pipelines using BigData stack tools (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift) Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $179,000 - $200,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco Bay Area, California, United States; San Francisco, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Nebius is looking for a community-focused professional to join our global startup team as Startup Community Manager. In this role, you will lead community engagement and activation across Nebius' venture capital ecosystem, developing programs that connect investors, founders, and high-potential AI startups. Your mandate is to build relationships with VC platform and community teams, working alongside Nebius' VC Alliances team to activate priority venture partnerships through meaningful programming and portfolio engagement. You will lead partner outreach, develop curated programming, and bring together the right mix of investors and portfolio founders through intimate dinners, roundtables, and other community experiences that create value for the broader startup ecosystem. This role sits at the intersection of startup community development, ecosystem partnerships, and program activation, working closely with internal teams to expand Nebius' reach among high-potential AI companies. This position is based in the San Francisco Bay Area. Our San Francisco office is available for collaboration, but regular office attendance is not required. Your responsibilities will include: Lead Community Engagement & Ecosystem Activation Build and manage relationships with VC platform and community teams to identify opportunities for portfolio engagement and collaborative programming. Partner with Nebius' VC Alliances team to activate priority venture relationships through targeted community initiatives. Develop a repeatable engagement model that strengthens Nebius' connections with VC-backed founders and startup communities. Lead Community Programming & Ecosystem Activations Design and execute curated programs, including founder dinners, investor roundtables, and portfolio gatherings, in collaboration with venture ecosystem partners. Own end-to-end program development, including partner coordination, audience prospecting, invitation strategy, execution, and follow-up. Create high-value experiences that bring together the right mix of investors and portfolio companies while serving the needs of the startup ecosystem. Drive Portfolio Engagement & Startup Ecosystem Growth Identify and engage high-potential VC-backed startups aligned with Nebius' priority industries and customer profiles. Collaborate with Venture ecosystemand Sales teams to facilitate portfolio introductions and continued founder engagement. Surface emerging startup opportunities and ecosystem insights to inform Nebius' broader startup strategy. Measure Community Impact Track and report on community partner engagement, portfolio company participation, program performance, and startup pipeline influence. Use partner feedback and engagement insights to continuously improve programming and strengthen community activation. We expect you to have 3–5+ years of experience in startup ecosystem development, community building, strategic partnerships, or event programming. Experience working with venture capital platform teams, startup founders, or VC-backed startup communities, ideally within AI or enterprise technology. Demonstrated ability to build and manage relationships through proactive outreach and ongoing engagement. Experience designing and executing curated founder, investor, or executive-level programs. Strong audience development, relationship management, and organizational skills. Ability to operate independently in a fast-moving, cross-functional environment. A strong interest in AI, emerging technologies, and the venture capital ecosystem. It will be an added bonus if you have Existing relationships with Bay Area VC platform teams and startup founder communities. Experience managing VC portfolio engagement or investor-focused community programs. A track record of translating ecosystem engagement into meaningful startup relationships and business opportunities. Familiarity with AI infrastructure, cloud computing, or developer tools. Key employee benefits in the US: #LI-LG1 Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $140,000 — $170,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.