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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager for Security, you'll drive execution of high-stakes programs that span security engineering, infrastructure, and cross-functional teams across Anthropic. You'll be responsible for the strategy, planning, and execution of technical security programs that enable Anthropic to meet its Responsible Scaling Policy (RSP) commitments while building towards a security posture that scales with our rapid growth. This role sits at the intersection of Security Engineering, Security Compliance, Infrastructure, Product, Research, Policy, and more. This role demands someone who thrives in ambiguity, makes well-reasoned decisions under pressure, and can translate complex security requirements into executable programs with compressed timelines. Responsibilities: Own end-to-end security program execution for RSP security readiness – Drive security workstreams from requirements interpretation through implementation, coordinating across Security Engineering, Infrastructure, Research, and Compliance teams to ensure we meet RSP commitments on aggressive timelines Coordinate complex multi-team deployments – Manage security control rollouts and migrations, like endpoint hardening and egress reduction that require careful change management across engineering organizations Make real-time technical trade-off decisions – Balance competing constraints between security controls, research velocity, and operational feasibility during fast-moving program cycles Build program structure for emerging security domains – Create program charters, establish roles and timelines, develop communication strategies, and define success metrics for nascent security initiatives Partner with third-party partners – Manage security aspects of infrastructure partnerships, including contract requirements, relationship management, and security assurance processes Lead stakeholder communication and executive reporting – Prepare regular status updates, deliver company-wide communications, lead program reviews, and ensure leadership has visibility into critical security milestones, blockers, and risks You may be a good fit if you: Have experience driving cross-functional projects, building longer-running programs, and interfacing with technical and non-technical stakeholders. Have experience executing technical programs that require systems and engineering-level knowledge. Have a deep interest in and/or a willingness to learn about cybersecurity or regulatory compliance. Have experience leveraging LLMs to automate workflows, improve operational efficiency, and develop novel solutions for complex technical and organizational challenges. Have experience reporting on complex programs through data-driven benchmarks, including writing SQL queries. Have strong interpersonal skills that enable you to influence without authority, build cross-organizational support, cooperation and action around security initiatives, policies and procedures. Have a track record for being able to successfully organize, implement and manage complex programs and projects. Are used to working through trade-offs, balancing competing priorities, and having your mind changed. Deadline to apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 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 (Worldwide) ** No need to apply or submit any information via this application (reference only). If you're interested in this role, please click here to learn more and apply. About Logos Logos is a movement to rebuild civil society using decentralised technologies. Logos is a sovereign, decentralised technology stack that allows for the creation of new types of corruption-resistant social institutions. It is designed to champion personal liberties and collective abundance through upgrading human governance. As an open source movement, we need coders, creatives, and anyone passionate to help us build, own, and govern it. Circles initiative Logos Circles are self-organised groups that take action to solve issues that matter locally. They are a form of parallel governance: instead of reforming broken or rigged institutions, they build better ones that live on or are sustained by the network. Circles respond to local needs, build trust on the ground through solving problems, and experiment with real-world applications of Logos tech and values. Upcoming circles near you. We are looking for Volunteers that are passionate about the use of technology to provide alternate forms of governance. You will commit to At least 2 hours per week for a minimum of 6 months, though one year is preferable. Facilitate meet-ups, introduce Logos, and help guide the group toward action. Create space for others to contribute, grow, and take ownership over time. Project manage the delivery of winnable issues Spread the Logos love Coordinate with core contributors from Logos We will commit to Provide training on the Logos stack and how it works Provide training and support on how circles are organised Have a dedicated “buddy” from our internal contributors who will be your POC Provide support during the circles Help in finding a location for the circle's meetings Provide a limited stipend to support essential Circle needs Requirements Fluency in English Be aligned with the Logos mission Have enough free time to dedicate to the circles Have a sufficient level of technological knowledge so you can understand how the Logos stack works Be passionate about social issues and have desire to be part of the change Application process ** No need to apply or submit any information via this application (reference only). If you're interested in this role, please click here to learn more and apply.

Location: Berlin, Germany Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Staff Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! What will I be doing? Product Engineers in the AI Group Build the systems that power Fin's flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too. Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use. Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.. Contribute to all phases of software development including ideation, prototyping, and implementation and testing. Play an active role in the hiring, mentoring, and career development of other engineers. Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Fin. Profile we’re looking for These are meant to be indicative, not hard requirements. 10+ years of experience shipping high-quality products. No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team. You can demonstrate significant impact in the work that you have done. You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development. Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here! Strong willingness to fight for good outcomes Bias towards progress over perfection BSc in Computer Science, Maths or Statistics or related discipline Bonus skills & attributes Previous experience in data analytics, or statistical role #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Staff Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! What will I be doing? Product Engineers in the AI Group Build the systems that power Fin's flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too. Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use. Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.. Contribute to all phases of software development including ideation, prototyping, and implementation and testing. Play an active role in the hiring, mentoring, and career development of other engineers. Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Fin. Profile we’re looking for These are meant to be indicative, not hard requirements. 10+ years of experience shipping high-quality products. No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team. You can demonstrate significant impact in the work that you have done. You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development. Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here! Strong willingness to fight for good outcomes Bias towards progress over perfection BSc in Computer Science, Maths or Statistics or related discipline Bonus skills & attributes Previous experience in data analytics, or statistical role #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Staff Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! What will I be doing? Product Engineers in the AI Group Build the systems that power Fin's flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too. Work alongside our ML Scientists bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use. Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers.. Contribute to all phases of software development including ideation, prototyping, and implementation and testing. Play an active role in the hiring, mentoring, and career development of other engineers. Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Fin. Profile we’re looking for These are meant to be indicative, not hard requirements. 10+ years of experience shipping high-quality products. No ML experience required. We believe you can be highly effective immediately by bringing excellent software engineering skills, and learn ML as you work on the team. You can demonstrate significant impact in the work that you have done. You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development. Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here! Strong willingness to fight for good outcomes Bias towards progress over perfection BSc in Computer Science, Maths or Statistics or related discipline Bonus skills & attributes Previous experience in data analytics, or statistical role #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Berlin Workplace: Hybrid At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe’s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience. ABOUT THE ROLE: The Growth team at Upvest is driving our go-to-market activities, spanning across Marketing, Sales and Customer Success. Our mission is to become the Investment-as-a-service category leader for Europe's leading brokers, banks, wealth managers, and non-financial platforms. We're honoured to work with some of Europe's leading brands in a fast moving and expanding market already and are just getting started. As Upvest enters the next stage of growth, we are seeking a highly motivated and outcome-driven Account Executive to join us. All our team efforts are centred around the client and give you the opportunity to work with high autonomy coupled with inspirational leadership. Working in the Growth team combines impactful work with a relaxed and fun atmosphere. We have established strong practices around feedback, team health and social events. In this role, you will work directly with our Director Business Development DACH https://www.linkedin.com/in/alexander-reichhardt-87b6a9b0/Sven Loeckel https://www.linkedin.com/in/sven-loeckel-10824858/ to drive our Financial Institutions sales - winning and delighting our clients and collaborating closely with our growth and launch teams to help large financial institutions to digitise their investing propositions. You’ll leverage your expertise in financial services and sales to understand our clients’ needs and craft a compelling commercial proposition for them. This is an opportunity to own sizeable client relationships and thus having a direct impact by both driving the Upvest business and transforming the retail investment market. WHAT YOU’LL DO: - Own the cross-functional sales cycle until contract closing to meet or exceed sales targets - Build the business by consultatively understanding our clients’ needs and developing compelling sales materials that communicate the Upvest value proposition effectively - Build and maintain strong client and industry relationships through regular client calls and networking events - Contribute to our sales enablement efforts and process improvement by sharing client insights and driving best practice - Enable a seamless client onboarding experience via effective communication with our implementations team WHAT YOU BRING: - Experience: You have 4–6+ years of experience in sales-related roles, ideally within investments, banking, or wealth management, preferably in a B2B environment and working with API-based products. Alternatively, you have 4–6+ years of experience at a specialised financial services consultancy, working on IT infrastructure-related projects, ideally within the investment services space - Industry Exposure: You have previous experience in investments and securities trading, along with a strong interest in software- and infrastructure-as-a-service products (e.g. BaaS) - Client-centric sales: You have demonstrated expertise with B2B sales methodologies, such as solution/consultative selling as well as practical application of industry best practices, always starting with the clients needs’ - Stakeholder management Skills: You have demonstrated strong leadership skills, are able to communicate well with different stakeholder groups, and are not afraid to challenge assumptions internally or externally - Negotiation Skills: Strong relationship-building and negotiation skills, with the ability to create trust, effectively handle objections and present compelling pitches - Project Management: Hands-on, proactive ownership of complex projects, including ensuring consistent and reliable communication with multiple client and internal stakeholders and diligent internal documentation IT’S GREAT IF YOU HAVE: - Experience selling to banks or wealth managers - Industry Knowledge - thorough understanding of the investment industry, its current trends and competitive landscape - Professional Network: Strong professional network in the investment industry - Location Preference: Preference for candidates located in Berlin / remote Germany and fluent in German (C2 or native) HOW WE UPVEST IN YOU: - Best-in-class AI tools: Every Upvenger has €20,000 per year to spend on the best AI tools available — so you're always working with the most powerful models and tooling on the market - Impact-driven work: We’re building the infrastructure that will power the future of investing in Europe. It’s complex, ambitious, and meaningful. You’ll work with modern technologies and create something entirely new. No legacy systems, no limits - Wellbeing: Recharge with 30 days of annual leave and maintain a healthy lifestyle with sports benefits. Access confidential professional coaching and enjoy the flexibility to work remotely abroad for up to 183 days a year. Recharge with UpRest, a one-month fully paid sabbatical after every 4 years of working at Upvest - Development: Growth is in our DNA. Each Upvenger has access to a personal development budget and the freedom to decide how to use it - Compensation and equity: We believe that all Upvengers contribute to our success and deserve a competitive, above-market salary and a participation in our employee equity program - Team celebrations: Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements - Inclusion: We’re committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem for our female Upvengers, or UpVergent supporting neurodivergent Upvengers and allies OUR VALUES: - Make it easy for others. We simplify the complex and act with the best intentions - Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection - Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together - Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: New York City 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 trade 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. About the Team: DRW C/FICCO Tools Engineering team intimately collaborates with traders to turn alpha signals, risk management, market visualizations and other trading-critical tools into scalable, performant and reliable production systems. We embed deeply with our customers to solve high-impact, complex problems. We move quickly when we prototype, and we tread lightly when we ship to production. We operate at the intersection of ensuring customer success and creating quality products that stand the test of time. We work closely with Data Engineering, Research Engineering, and Execution Engineering. About the Role: Software Engineers at Tools Engineering operate in two very distinct but organically interconnected modes. During a Forward Deployment, you will be directly embedded onto a trading desk, where you will be tasked to navigate business context, ambiguity in requirements, trade-offs, and urgency to deliver. You will promote a mutually beneficial relationship with the trading desks by building them specialized solutions to solve their greatest problems, while at the same time building up domain specific knowledge. After returning from a Forward Deployment, you will leverage the knowledge you gained from the process, extract reusable patterns, and make the tools available for all trading desks. In this role you will: Work with best-in-class trading tools for a collection of Cumberland and FICC options trading desks Take full ownership of the products you create, from prototype to stable production Embed with trading desks, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions Build, maintain and extend the central trading platform Work with both greenfield and legacy systems across multiple languages (Python, Java, C++, Typescript) Provide on-call support as needed Qualifications: A minimum of 2+ years’ experience using Python, Java, C++, and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment. Experience in the financial markets, especially in delta one store of value and/or FICC options trading Experience with linux-based, concurrent, high-throughput, low-latency software systems Experience with functional programming is a plus Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience The annual base salary range for this position is $175k to $225k, 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-BL1

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Nonprofit Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organizations. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across program delivery, fundraising, research, and operations. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the nonprofit landscape. The ideal candidate will be an exceptional salesperson with 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 in the nonprofit sector, you will help organizations amplify their social impact while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within nonprofit organizations. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases within nonprofit program departments, development offices, research centers, and administrative functions. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Navigate complex stakeholder ecosystems including executive directors, board members, program officers, IT departments, and procurement committees to build consensus and secure strategic deals Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency Build strategic relationships with nonprofit technology platforms, consultants, and sector influencers to expand market reach and create partnership opportunities You may be a good fit if you have: 3+ years of experience prospecting and closing leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Familiarity working within complex sales cycles, selling to technical and non-technical stakeholders, and securing strategic deals by understanding multifaceted requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding customer needs and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities Interest in or passion for social impact and mission-driven work. You feel strongly about ensuring frontier AI systems are developed safely and ethically Strong candidates may also have: Experience selling to or working with nonprofit organizations, foundations, or government agencies Understanding of nonprofit operations, including budget cycles, grant funding, and procurement processes Familiarity with nonprofit technology ecosystems, including CRMs (Salesforce NPSP, Blackbaud), fundraising platforms, and program management tools Active involvement in the nonprofit community through board service, volunteering, or prior employment Experience navigating procurement frameworks with budget constraints and multiple approval layers Track record of building strategic partnerships with foundations or corporate giving programs Understanding of specific nonprofit verticals (healthcare, education, human services, environment, arts & culture) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates; Fujairah, United Arab Emirates; Umm Al Quwain, United Arab Emirates Our client an award winning western restaurant group is looking for an experienced butcher to join their team and expansion project. DUTIES & RESPONSIBILITIES: Must be aware and ensure that he and his co – workers follow company hygiene procedures. The communications to the Executive Chef, Sous Chef and the Stock Controller must be in respectful, friendly and professional ways. Responsible of Checking all Meat and Fish on delivery for quality and Quantity. In charge of cleanliness of the Meat and Fish preparation rooms and proper storage of all Meat and Fish items in the Freezers and Fridges. Close communication and contact with the Executive Chef with regard ordering and preparation is obligatory. The guidelines and requests from the Chef and F&B Manager must be followed in the most efficient way. All machines and equipment must be kept in good repair and must be handled with care at all times. Report any maintenance requirements to the relevant personnel. Be present during the sanitation inspections of your areas. The Butcher must be fully aware of the company controlling and food preparation procedures e.g. portion control, as outlined in the F&B manual. Daily contact and exchange of information with the Executive Chef or Sous Chef is obligatory. Requirements Must have worked at least for 3 Years as a Butcher in Hotels, Restaurants or on Cruise ships. Must be able to prepare all meats and fish products specified in company standards. Must have a Culinary Certificate from a recognized institution. Must be able to deal with quality control, production control, meat and fish storing Benefits Basic Monthly Salary: AED 3000 to 3600 depending on experience + 375 Food allowance + 250 to 450 (Service charge Avg) + 600 Credit card tips + cash tips + free Accommodation + Transport + uniforms + Health insurance + air ticket ( once every two years) + Paid leave as per UAE laws

Location: Stamford, CT Cardiology Nurse Practitioner/ Physician Assistant Location: Stamford, CT Schedule: Full-Time (5 days per week) Total Annual Compensation: $150,000.00 - $200,000.00 About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities. Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a friendly and compassionate Cardiology Nurse Practitioner or Physician Assistant to join our team. As a Cardiology Nurse Practitioner/Physician Assistant, you will play a crucial role in providing comprehensive care to patients with heart-related conditions. This is an exciting opportunity to make a difference in the lives of patients while working alongside a dedicated team of healthcare professionals. . Responsibilities Perform comprehensive patient assessments, including physical examinations, medical histories, and diagnostic tests Collaborate with cardiologists to develop and implement treatment plans for patients with cardiovascular conditions Administer medications, monitor patient responses, and adjust treatment plans as necessary Conduct cardiac stress tests, electrocardiograms (EKGs), and other diagnostic procedures Educate patients and their families about cardiovascular health, preventive measures, and the importance of medication adherence Provide counseling and emotional support to patients and their families Knowledge of CMS Regulations and NCQA HEDIS Guidelines Document accurate medical records to ensure compliance with OSHA and Government regulations and perform duties in accordance with site quality and safety systems Collaborate with the interdisciplinary team Analyze and organize the care of critically complex patients Requirements Minimum 6 months of experience in long-term care or a skilled nursing facility Active and unrestricted Nurse Practitioner, Physician Assistant, or Physician license DEA License CPR BCLS/BLS certified Must hold a Master's Degree in Nursing Completed a degree from an accredited Nurse Practitioner program Preferred experience in cardiology: training provided Preferred experience in Documenting EMR (Sigma, Visual, PCC, etc.): training provided Must have great organizational and time management skills. Prolonged standing/walking. Occasional lifting up to 20 lbs. Carrying medical equipment. Lifting/moving patients. Benefits: Competitive compensation per annum : $150,000.00 - $200,000.00 Health Dental Vision 401K Company-Sponsored Life Insurance Paid Time Off Malpractice Insurance Paid subscription to Up-to-date Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDL

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team Product managers at OKX are the CEOs of their areas of focus. We develop growth-focused product strategies, manage cost/profitability and then deliver powerful strategies that guide customers through simple transaction workflows. We are building an integrated and beautiful crypto-finance experience for mobile and web. Product managers collaborate across business units and align user research, design and UX writing, brand and marketing, technical project management and engineering, testing, data, compliance and legal teams. We are a multi-cultural and decentralized team with a deep passion for bitcoin, crypto and Defi. We are objective oriented and everyone contributes to data analysis to drive business growth. About the Opportunity As the Product Manager, you will be responsible to discover new markets and revenue opportunities and innovate new products to address the market needs. Act as an internal champion to build consensus and influence senior management for new product ideas. Identify, define, implement and instrument market research, product design, product implementation and product release processes. Define, build and scale OKX's payment systems that powers money movement globally to help our customers gain access to a wide array of crypto assets. The scope of this role includes defining & managing product roadmaps, features including user experience and end to end integration with local & international payment providers while proactively managing the risk associated with your product. Tracking KPIs and driving growth of your product features is at the core of PM’s at OKX, while collaborating with multiple key stakeholders like designers, engineering, legal, risk, compliance, marketing, customer support & finance across the organization and get them aligned on your product roadmap and deliverables. You’ll be joining our growing product team to help define the future of our company and product. If you are an entrepreneurial product leader, who doesn’t hesitate to propose bold ideas and roll up your sleeves to put them into action, this role will be a great fit for you. What You'll Be Doing Be the owner of your payment products (ACH, Cards, Wire, SEPA, FAST, PIX, etc), you truly own it! Define & drive every aspect of your product from developing the roadmap/backlogs/iterations in order to hit your goals & KPIs Outline features, technical integration requirements, work with your squad of product designers, content writers, data analysts and engineers to bring your product to life You verify your squad deliverables, align your customer support teams including all key stakeholders for any feature release/announcements to your retail users Manage your product dashboard by tracking all your product data metrics Drive adoption, usage of your products working closely with marketing, risk teams, keep close eye on customer frictions and voice of customer to optimize your product experience Ensure that there are effective internal tools in place for any new product launch What We Look For In You Product management experience in the payments space with past experience in payments clearing, settlement and fiat custody Visionary for trending and future crypto market needs and payments industry changes Product innovator that can achieve business goals with unique product offering and business models Previous experience designing and building payments systems and understanding of risk management associated with these payment options Entrepreneurial mindset: Experience working in a fast-paced environment with competing resources and priorities. Opinionated and willing to make calls with limited information. Ability to navigate through ambiguity to advocate for resources Excellent written and verbal communications skills; ability to translate strategy into clear and actionable plans for product development, engineering, design and marketing Technical, comfortable with delving into the product, the platform and the implementation details. Able to engage with engineering beyond just product and user experience needs; willing to roll up sleeves and design scalable and extensible solutions Metrics driven with proficiency in identifying, defining, tracking and acting upon metrics Experience identifying KPIs and working with engineering and analytics on instrumentation and monitoring Familiarity with cryptocurrency exchanges and passion for crypto and blockchain innovations Bachelor's degree in Computer Science, Engineering, or a related technical discipline Nice to Haves Past experience working with payments systems or crypto platforms is strongly preferred Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-WWW #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams. Responsibilities: Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents Review Incident Response metrics and procedures and drive continuous improvement Work cross functionally with other security and engineering teams Note: This position will require participation in an on-call rotation You may be a good fit if you: 3+ years of software engineering experience, with security experience a plus and/or 5+ years of detection engineering, incident response, or threat hunting experience A solid understanding of cloud environments and operations Experience working with engineering teams in a SaaS environment Exceptional communication and collaboration skills An ability to lead projects with little guidance The ability to pick up new languages and technologies quickly Experience handling security incidents and investigating anomalies as part of a team Knowledge of EDR, SIEM, SOAR, or related security tools Strong candidates may also have experience with: Experience performing security operations or investigations involving large-scale Kubernetes environments A high level of proficiency in Python and query languages such as SQL Experience analyzing attack behavior and prototyping high quality detections Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics Experience contributing to a high growth startup environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote (Worldwide) Logos is a movement supporting the development of the decentralised web. Logos technologies lay the foundations for a freer internet upon which communities can evolve into network states. Each protocol in the Logos stack seeks to empower its users while upholding civil liberties and fundamental freedoms. ** No need to apply or submit any information via this application (reference only). If you're interested in this role, please click here to learn more and apply. About Logos Logos is a movement to rebuild civil society using decentralised technologies. Logos is a sovereign, decentralised technology stack that allows for the creation of new types of corruption-resistant social institutions. It is designed to champion personal liberties and collective abundance through upgrading human governance. As an open source movement, we need coders, creatives, and anyone passionate to help us build, own, and govern it. Circles initiative Logos Circles are self-organised groups that take action to solve issues that matter locally. They are a form of parallel governance: instead of reforming broken or rigged institutions, they build better ones that live on or are sustained by the network. Circles respond to local needs, build trust on the ground through solving problems, and experiment with real-world applications of Logos tech and values. Upcoming circles near you. We are looking for Volunteers that are passionate about the use of technology to provide alternate forms of governance. You will commit to At least 2 hours per week for a minimum of 6 months, though one year is preferable. Facilitate meet-ups, introduce Logos, and help guide the group toward action. Create space for others to contribute, grow, and take ownership over time. Project manage the delivery of winnable issues Spread the Logos love Coordinate with core contributors from Logos We will commit to Provide training on the Logos stack and how it works Provide training and support on how circles are organised Have a dedicated “buddy” from our internal contributors who will be your POC Provide support during the circles Help in finding a location for the circle's meetings Provide a limited stipend to support essential Circle needs Requirements Fluency in English Be aligned with the Logos mission Have enough free time to dedicate to the circles Have a sufficient level of technological knowledge so you can understand how the Logos stack works Be passionate about social issues and have desire to be part of the change Application process ** No need to apply or submit any information via this application (reference only). If you're interested in this role, please click here to learn more and apply.

Location: JP - Tokyo, Japan UXデザイナー - 新位置情報モバイルゲーム The UX Design team of Scopely Explore (formerly known as Niantic) delivers innovative mobile experiences that inspire "exploration, exercise, and connection" for players around the world. In this position, you will tackle unique design challenges set in the real world, always placing the player’s perspective at the center of your UX design. For your assigned game title, you will drive the UX design process from concept to completion. You will handle a broad scope of work—including UX flows, wireframes, and UI design—to shape intuitive and user-friendly experiences. Additionally, a crucial part of this role involves validating ideas using mockups and prototypes to clearly visualize and refine design concepts. In development, you will collaborate closely with a diverse group of experts—including Engineers, Product Managers, User Researchers, and Artists—to co-create unique Scopely Explore experiences that blend the real and digital worlds. You will actively participate in brainstorming and new feature planning, contributing directly to the product's direction. Additionally, you will communicate your design intent visually to internal and external stakeholders using wireframes and specifications. Your goal is to foster a shared understanding while building out the design. If the prospect of exploring the future of real-world interactive experiences that make a positive experience in people's lives sounds exciting, we'd love to hear from you! What you will do Lead UX design efforts from concept to implementation for one or more player facing experiences Develop mockups, wireframes, prototypes, and detailed design documentation to clearly describe interaction flows and design concepts. Clearly communicate UX designs to all stakeholders. Actively participate in team rituals to conceptualize and brainstorm new features. Collaborate with cross-functional team members and partners, including regular and reliable attendance and participation in meetings. Required in-office 3 days on Tuesday, Wednesday, and Thursday. What you will need 3+ years of professional experience in UX/UI design. A portfolio demonstrating interaction design for mobile applications. Proficiency in designing effective user flows and wireframes. Strong visual design skills with professional experience using design tools such as Figma. Ability to create sketches and designs for design validation (prototyping). Experience in mobile application or game development. Fluent in Japanese, with the ability to smoothly communicate verbally and in writing. 業務内容 Scopely Explore のUXデザインチームは、世界中のプレイヤーに「発見・エクササイズ・つながり」をもたらす革新的なモバイル体験を提供しています。本ポジションでは、リアルワールドを舞台としたユニークなデザインの課題に取り組み、常にプレイヤー視点を中心に据えてUXを設計していただきます。 担当となるゲームタイトルでは、コンセプト立案からUXデザインを推進します。UXフロー、ワイヤーフレーム、UIデザインなど幅広い領域を担当し、直感的で使いやすい体験を形にしていきます。また、モックアップやプロトタイプを活用してアイデアを検証し、デザインコンセプトを明確に具体化することも重要な役割です。 開発では、エンジニア、プロダクトマネージャー、ユーザーリサーチャー、アーティストなど、多様な専門メンバーと密接に協力し、リアルとデジタルが融合したScopely Exploreならではの体験を共に作り上げます。新機能の企画やブレインストーミングにも積極的に参加し、プロダクトの方向性づくりにも貢献します。 加えて、社内外のステークホルダーには、ワイヤーフレームや仕様書を用いてデザイン意図を視覚的に分かりやすく説明し、共通理解を形成しながらデザインを構築していきます。 週３（火、水、木）での出社が必須となります。 必須条件 3年以上のUX/UIデザイン実務経験 モバイルアプリのインタラクションデザインを含むポートフォリオをお持ちの方 ビジュアルデザインに強みがあり、Figmaなどデザインツールを用いたデザイン実務経験がある方 ユーザーフローやワイヤーフレームを適切に設計できる方 アイディアのスケッチやデザインを制作できる方 モバイルアプリまたはゲームの開発経験のある方 日本語での文書作成・口頭コミュニケーションがスムーズに行える方 ※英語でこれらのことができればなお歓迎します 変化の早い環境に柔軟に適応し、実用的な課題解決ができる方 多職種との協働経験があり、対面・オンライン問わず円滑なコミュニケーションができる方 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: Dhahran, Saudi Arabia; Mumbai, India; Delhi, India Eram Talent is actively seeking a knowledgeable and experienced Project Engineer (EPC) to join our team for a prominent company within the Engineering, Procurement, and Construction (EPC) sector. The ideal candidate will be responsible for managing and overseeing projects through all phases of the EPC process. This role will involve ensuring that projects are delivered on time, within budget, and in compliance with quality and safety standards. As part of ERAM Group, E-Talent is an independent Talent Acquisition Consultancy committed to connecting top-tier professionals with outstanding opportunities across various domains including Engineering, Oil & Gas, Infrastructure, and Construction. This is an exciting opportunity for an ambitious engineer to drive impactful projects within a dynamic environment. Responsibilities 1. Technology and Engineering Management 1.1 Assist the Project Manager in reviewing project basic engineering design documents, ensuring full compliance with Saudi Aramco design standards (e.g., SAES, SAMSS, SABP) and project specifications. 1.2 Coordinate design work across various disciplines (Process, Piping, Mechanical, Electrical, Instrumentation, Civil, etc.), chair or participate in key technical coordination meetings, and resolve interface conflicts and technical challenges during the design phase. 1.3 Manage the flow, approval, and archiving of project technical documents, ensuring the accuracy and completeness of all engineering deliverables. 1.4 Lead or participate in the technical evaluation of Technical Queries (TQs), Material Substitution Requests (SRM), and Change Requests (CRs), and follow up on the Saudi Aramco approval process. 2. Procurement and Supplier Coordination 2.1 Provide technical support to assist in the preparation of procurement technical specifications for key equipment and materials. 2.2 Participate in the technical bid evaluation of key suppliers. 2.3 Review technical documents submitted by suppliers (such as drawings, data sheets, calculation reports, ITP), ensuring they meet project requirements. 2.4 Coordinate the resolution of any technical issues arising during equipment manufacturing. 3. Construction and Pre-Commissioning Support 3.1 Provide comprehensive technical support to field construction, resolving technical challenges encountered during construction. 3.2 Review the technical feasibility of Construction Method Statements. 3.3 Manage engineering changes within the project scope, assess the impact of changes on cost, schedule, and technology, and strictly adhere to the change management process. 3.4 Participate in onsite system Mechanical Completion checks, ensuring installation work conforms to design intent and specifications. 3.5 Support pre-commissioning and commissioning activities by providing necessary technical documents and guidance. 4. Planning, Scheduling, and Reporting 4.1 Assist the Project Manager in developing and controlling the project's engineering schedule. 4.2 Prepare and submit weekly/monthly engineering technical progress reports to the Project Manager and the client (Saudi Aramco). 4.3 Identify and assess project technical risks and propose mitigation measures. 5. Compliance and Standards 5.1 Ensure all engineering activities strictly comply with Saudi Aramco's Health, Safety, and Environment (HSE) policies and procedures. 5.2 Ensure the entire project process conforms to Saudi Aramco's Quality Management System requirements. 6. Communication and Coordination 6.1 Act as one of the primary points of contact for daily technical communication with the client's (Saudi Aramco) engineers. 6.2 Effectively coordinate work between the internal design team, procurement team, construction team, and subcontractors. Requirements 1. Education and Professional Qualifications Bachelor's degree or higher, majoring in Petroleum Engineering, Chemical Engineering, Mechanical Engineering, or a related engineering field. Possession of PMP (Project Management Professional), Chartered Engineer, or equivalent certification is preferred. 2. Work Experience 2.1 Minimum 8-10 years of project engineering experience in the oil, gas, or petrochemical industry, including at least 5 years in a Project Engineer or similar technical coordination role on large-scale Saudi Aramco petrochemical EPC projects. In-depth understanding and practical experience with Saudi Aramco standards, processes, and culture are required. 2.2 Project experience in oil-gas separation, production enhancement, gathering and distribution stations, or similar upstream/midstream facilities is preferred. 3. Knowledge and Skills 3.1 Proficiency in at least one core engineering discipline (e.g., Process, Piping, or Mechanical) and familiarity with the fundamentals of other related disciplines. 3.2 Thorough understanding of the project lifecycle, from conceptual design to mechanical completion and commissioning. 3.3 Familiarity with international engineering standards (e.g., ASME, API, ANSI, IEC) and Saudi Aramco-specific standards. 3.4 Proficient in MS Office (especially Word, Excel, PowerPoint). 3.5 Proficient in project management software (e.g., Primavera P6 or MS Project). 3.6 Familiarity with common engineering design software and document management systems (e.g., SPF, Aconex). 3.7 Fluent in both English and Arabic, with both languages serving as working languages. 4. Core Competencies and Personal Attributes 4.1 Ability to communicate clearly and effectively with technical experts, management, and clients. 4.2 Ability to analyze complex problems under pressure and propose practical solutions. 4.3 Ability to lead cross-functional teams in resolving technical issues, even in the absence of direct reporting lines. 4.4 Capable of managing multiple tasks and large volumes of technical information simultaneously. 4.5 Adaptability to fast-paced, high-demand project environments, and ability to navigate cultural differences and work challenges. 4.6 Strong sense of responsibility and commitment to achieving project goals. Benefits Job Location: Ningbo, China & Saudi Haradh Contract Period: 1 to 3 years depending on the project and performance. Visa: Business visa will be provided by the Client.

Location: San Francisco, CA | New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery. No ML or Research experience is required Responsibilities Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient Create reusable platforms and tools that accelerate the development of new research applications Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration Contribute to technical strategy and architectural decisions for research tooling Mentor other engineers and help establish best practices for research application development You may be a good fit if you Have 5+ years of software engineering experience with a strong focus on full-stack development Excel at rapid iteration and shipping—you can move from concept to working prototype quickly Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.) Demonstrate high agency and ability to operate independently in ambiguous environments Can quickly develop deep understanding of complex technical domains Have strong product instincts and can identify the right problems to solve Are proficient with modern web technologies (React, TypeScript, Python, etc.) Have a track record of building user-facing applications that are actually used and loved by their target audience Communicate effectively with both technical and non-technical stakeholders Care about the societal impacts of your work and are motivated by Anthropic's mission Strong candidates may also have Experience building research tools, scientific software, or experimentation platforms Background in machine learning, AI research, or working closely with ML researchers Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools Built open-source tools or platforms with active user communities Experience with data visualization, interactive interfaces, or novel interaction paradigms Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products) Experience leveraging AI/LLMs to build more powerful or efficient tools Previous work in creative tools, artist tools, or other domains requiring deep user empathy Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment Representative projects Building interfaces for collecting and managing human feedback on model outputs at scale Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs Developing visualization tools that help researchers understand model behavior and identify failure modes Designing reusable components and frameworks that enable rapid development of new research applications Building sandboxed execution environments for safely running AI-generated code The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York; San Francisco; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads. Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. Job Responsibilities: As an engineer on this team, you’ll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You’ll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you’ll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures. Qualifications: - 5+ years of experience writing high-performance, production-quality code - Strong programming skills in C++ or Python (Rust/Go also welcome) - Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.) - Ability to diagnose and resolve performance bottlenecks across the model execution stack - A strong bias for action — you ship fast, measure impact, and iterate It’s a big plus if you have experience with: - GPU programming, CUDA, or low-level systems optimization - Language modeling with transformers (MoE, speculative decoding, KV-cache optimizations) - Scaling performance-critical distributed systems (e.g., computation, search, storage) Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer". A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah ; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , Toy Models of Superposition , Scaling Monosemanticity , and our Circuits’ Methods and Biology papers. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our vision post ). In the short term, we have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer. We also have an Interpretability Architectures project that involves collaborating with Pretraining. Responsibilities: Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights Design and run robust experiments, both quickly in toy scenarios and at scale in large models Create and analyze new interpretability features and circuits to better understand how models work. Build infrastructure for running experiments and visualizing results Work with colleagues to communicate results internally and publicly You may be a good fit if you: Have a strong track record of scientific research (in any field), and have done some work on Interpretability Enjoy team science – working collaboratively to make big discoveries Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null To learn more about the skills we look for and how to prepare for this role, see our blog post – So You Want to Work in Mechanistic Interpretability? Familiarity with Python is required for this role. Role Specific Location Policy: This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.