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Location: Remote; USA (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE Working on the Marketing & Communications Functional Team, you'll drive profitable acquisition of paid subscribers and work on related projects that aim to help millions of people take back control of their personal information. Recent projects include: - Supporting strategy and planning for new paid advertising initiatives to profitably scale subscriptions - Launching new ad channel tests and measuring incremental lift - Executing in-market tests for new creative and messaging following a brand refresh As a Senior Growth Marketing Manager, you'll manage high priority marketing campaigns, including planning, hands-on execution, testing, optimization, and analysis to optimize spend and drive profitable paid subscriber growth. This role will help create and execute a new marketing program for paid subscriptions. You'll deliver results from new channel testing, creative testing, and by optimizing paid subscriber conversion. The right person is excited to prove that paid marketing growth and privacy-respecting advertising practices aren’t at odds — they’re our edge. You know how to use aggregate measurement, experimentation, and strong judgment rather than user-level targeting and tracking.   ABOUT YOU - 7+ years of experience in digital advertising roles, with 2+ years of experience in paid acquisition for freemium consumer subscription apps preferred. - Demonstrated experience with both strategic planning and execution in digital marketing platforms (app store ads, paid social, mobile app networks) to profitably scale app subscriber growth. - Hands-on expertise standing up paid subscription programs from scratch, with a track record of scaling subscriber growth profitably against LTV and payback — not just acquisition costs. - Experience driving subscription growth within an established, high-traffic product where subscription revenue is a secondary — not primary — revenue model, preferred. - Track record partnering with Engineering and Product to build and optimize landing pages, funnels, product experiences, and instrumentation. - Ability to execute highly complex and ambiguous projects, working across business strategy and marketing tactics. - Advanced analytical and measurement abilities, including app economics (payback, LTV), incrementality/lift testing, modeling, and data analysis. - Excellent communication skills — you can clearly articulate recommendations and rationale, whether verbal or written. COMPENSATION $178,500 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation. Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK. Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.   HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.   DIVERSITY, EQUITY AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.   We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.   PLEASE NOTE THAT - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.   Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.   Key Principles: 1. Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. 2. Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. 3. Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!

Location: Seoul ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job   Mistral AI is seeking a Head of Applied AI Engineering, to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The role is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases. They work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.   In this role, you’ll lead customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   About you - You are fluent in English and Korean native - You hold a PhD / master in AI / data science or you’re self-made - You have 10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have a deep understanding of Cloud Infrastructure and how to deploy AI based products - You have deployed or built products with large scale user based - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: - Contributed to open-source projects in particular in the space of LLM - Experience as a Forward Deployed Engineer, Staff Engineer Machine Learning Engineer, Staff Data Scientist. - Experience founding a startup or as a founding member of a fast growing startup WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Seoul ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job   Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.    What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   About you   • You are fluent in English and Korean • You hold a degree in Computer Science, Software Engineering, or a related field. • You have 5+ years as a technical individual contributor on cutting-edge technologies • You have strong technical coding skills in Python and TypeScript • You have experience with front-end frameworks such as React, NextJS, or VueJS. • You have experience with back-end technologies such as NodeJS. • You have a solid understanding of software development principles, including design patterns, data structures, and algorithms. • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: • Experience with LLM/GenAI models • Contributed to open-source projects or libraries • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Shanghai Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for a Senior Backend Engineer who is systems-minded, detail-oriented, and passionate about building scalable infrastructure to join our Platform Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design and own the server-side architecture of a white-label game distribution platform, tackling challenges in multi-tenancy, large-file delivery, and high-concurrency systems. Strong command of GoLang and solid experience in microservices and distributed systems are essential, along with experience in building backend services for content distribution, app stores, or gaming platforms. The ability to collaborate with cross-functional teams and drive technical decisions on performance, security, and observability will be key to your success in this role. If you’re passionate about building robust, high-performance backend systems that power game distribution at scale and love solving complex infrastructure problems in the gaming ecosystem, we would love to hear from you! Responsibilities Design, build, and maintain the backend services for the game distribution platform, with a highly available and scalable server-side architecture Design and implement a multi-tenant architecture supporting data isolation Design and implement the storage and delivery solution for large game files (object storage / CDN, signed download URLs, resumable downloads, version management) Build backend APIs and permission systems for the operations admin panel and publisher portal Design and deliver the search solution (e.g., Elasticsearch) to power full-text search and filtering of games Ensure system performance, concurrency, security, and observability (monitoring, logging, alerting) Game industry experience required On-site position only (remote work not available) Requirements Degree in Computer Science or a related field, with 5+ years of backend development experience Strong command of GoLang Proficiency with AI coding tools (Claude Code, Gemini, etc.) Solid RESTful API design skills; familiar with microservice architecture Familiar with relational database (MySQL/PostgreSQL) design and optimization; knowledge of NoSQL (Redis, etc.) Familiar with message queues (Kafka/RabbitMQ), caching, and other middleware Solid engineering fundamentals: coding standards, unit testing, Git, CI/CD Nice to have Understanding of the Chinese gaming industry and experience in Chinese game building, publishing, or operation on major Chinese gaming platforms Experience in backend development for games or game platforms Familiarity with server-side integration of game SDKs (accounts, in-app purchases, real-name verification) Familiarity with in-app purchase (IAP), virtual goods, and order management Experience with multi-tenant SaaS / white-label platform architecture Familiarity with Elasticsearch Experience designing and optimizing high-concurrency, high-traffic systems Experience with app stores or content/game distribution platforms Knowledge of object storage and CDN, with experience in or awareness of large-file / high-concurrency delivery Note: Less experienced candidate could be considered as middle-level developer. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Shanghai Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for a Senior Android Engineer who is self-motivated, product-minded, and technically rigorous to join our Storefront Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build a high-quality, white-label Android game store from the ground up, tackling complex challenges in large-game distribution, download management, and multi-tenant theming.   Strong Kotlin and modern Android development skills are essential, along with experience in native Android development, particularly with large-file downloaders, app stores, or content distribution systems. The ability to collaborate effectively with cross-functional teams (product, design, backend, and QA) and drive technical decisions will be key to your success in this role. If you’re passionate about creating high-performance, feature-rich consumer-facing applications and love solving the unique technical challenges of distributing and updating large-scale Android games, we would love to hear from you! Responsibilities Design, build, and maintain the Android client for the game store, using Kotlin + Jetpack Compose to deliver a modern, high-performance UI. Implement core features: game browsing, categories, search and filtering, game detail pages, user accounts, game library, ratings and reviews. Design and implement the game download, install, and update management module (resumable downloads, guided/silent installation, signature verification, version management). Implement white-label theming and multi-channel build capabilities (via Gradle product flavors and/or runtime theme configuration) to support per-partner branding. Optimize app performance (e.g. startup time), stability (e.g. crash rate), binary size, and memory usage. Collaborate closely with product owner, designer, backend dev, and QA; contribute to technical design and code reviews. Write clean, maintainable, and well-tested code; enforce coding standards and participate in peer code reviews. Game industry experience required On-site position only (remote work not available) Qualifications and Skills Degree in Computer Science or a related field, with 5+ years of native Android development experience. Strong command of Kotlin, including coroutines and Flow for asynchronous programming (or mastery of Java and its equivalents). Proficient with Jetpack Compose for declarative UI development (traditional View/XML experience is a plus). Familiar with Android Jetpack components (ViewModel, Lifecycle, Room, Navigation, Hilt) and MVVM/MVI architecture. Familiar with common libraries: networking (Retrofit/OkHttp), image loading (Coil/Glide), and local storage. Familiar with the Gradle build system, including white-label / multi-tenant / multi-flavor builds, signing, and version management. Solid understanding of Android’s installation mechanisms, permission model, and behavioral changes across OS versions. Solid engineering fundamentals: coding standards, unit testing, and version control (GitLab/GitHub). Proficiency with AI coding tools to boost development productivity. Nice to have Understanding of the Chinese gaming industry, game app characteristics, and player needs. Experience in game development, publishing, or operations on major Chinese gaming platforms. Familiarity with the Android package structure exported by game engines such as Unity / Unreal (APK + OBB expansion files, large asset bundles). Experience integrating game SDKs (account login, in-app purchases, ad monetization, analytics, real-name verification). Note: Less experienced candidates could be considered as middle-level developers. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Canada Workplace: remote We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.   𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼: ✅Notices when recommendations actually make sense 🧠Thinks critically about usefulness, intent, and context 🖥️Cares about accuracy in digital experiences   This project is built for you. Contract type: Freelance Language: French (Canada) Estimated volume: 8 - 10 hours Start date: The project runs on a weekly basis.    What you will do: Review search queries with results personalized based on your activity history Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited Rate whether the suggested places are relevant and useful Follow project guidelines and complete tasks accurately Requirements: To be located and have the right to work in Canada. An existing, actively used Gmail account with prior usage history on Google Maps. Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you. Please note: This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.

Location: Australia Workplace: remote We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.   𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼: ✅Notices when recommendations actually make sense 🧠Thinks critically about usefulness, intent, and context 🖥️Cares about accuracy in digital experiences   This project is built for you. Contract type: Freelance Language: English (Australia) Estimated volume: 8 - 10 hours Start date: The project runs on a weekly basis.    What you will do: Review search queries with results personalized based on your activity history Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited Rate whether the suggested places are relevant and useful Follow project guidelines and complete tasks accurately Requirements: To be located and have the right to work in Australia. An existing, actively used Gmail account with prior usage history on Google Maps. Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you. Please note: This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.

Location: Canada Workplace: remote We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.   𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼: ✅Notices when recommendations actually make sense 🧠Thinks critically about usefulness, intent, and context 🖥️Cares about accuracy in digital experiences   This project is built for you. Contract type: Freelance Language: English (Canada) Estimated volume: 8 - 10 hours Start date: The project runs on a weekly basis.  What you will do: Review search queries with results personalized based on your activity history Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited Rate whether the suggested places are relevant and useful Follow project guidelines and complete tasks accurately Requirements: To be located and have the right to work in Canada. An existing, actively used Gmail account with prior usage history on Google Maps. Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you. Please note: This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.

Location: Kuala Lumpur, Malaysia Company Description Our client is a global organization operating within the financial services and trading industry, providing individuals with access to a wide range of financial markets, including equities, commodities, and foreign exchange. With over two decades of experience, the company has built a strong international presence, serving a diverse customer base across multiple regions. It operates through a portfolio of established brands and continues to expand its global footprint. The organization focuses on delivering user-friendly platforms, efficient services, and reliable support to help clients navigate financial markets. With offices across key international hubs, it offers a dynamic and multicultural working environment with opportunities for professional growth. Senior Executive, Global Retention About the Role Our client is a fast-growing player in the financial trading sector and is seeking a Senior Executive, Global Retention to help shape how they retain and grow their global client base. In this role, you will build global retention toolkits that empower local markets to drive trading revenue from existing clients. If you're passionate about CRM, lifecycle marketing, and turning data into actionable strategies, this is an exciting opportunity to make a global impact. Key Responsibilities Retention Program Management Develop and execute global retention programs across the customer lifecycle, including active trader growth, churn prevention, and dormant client reactivation. Campaign Execution Drive omni-channel campaign planning and execution across multiple customer touchpoints. Partner with CRM, content, and design teams to ensure timely and high-quality campaign delivery. Performance & Insights Track and report on key retention KPIs. Evaluate campaign and customer journey performance. Provide actionable recommendations to continuously improve retention initiatives. Market Intelligence Conduct regular market research and competitor analysis to identify trends, opportunities, and areas for optimization. Stakeholder Partnership Serve as the key liaison between global and local markets. Support campaign localization, facilitate best-practice sharing, and contribute to ad hoc strategic projects. Qualifications Bachelor's degree in Marketing, Business, Communications, e-Commerce, or a related field. At least 3 years of experience in retention, loyalty, CRM, or lifecycle marketing. Experience in, or a strong interest in, the financial trading or FinTech industry is highly preferred. Hands-on experience with CRM, marketing automation, and MarTech platforms. Strong analytical skills with a commercial mindset and the ability to translate data into actionable insights. Creative, self-motivated, and able to thrive in a fast-paced, global environment. Excellent written and spoken Mandarin (or Cantonese) and English.

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 team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of demonstrating how AI tools can accelerate scientific workflows and enable discovery. About the role We are hiring Research Associates: early-career bench scientists who will join a small team to help establish our biology research program. This is an entry-level role, great for individuals who have done some research during an undergrad or masters program and may be considering pursuing a PhD in Life Sciences in the future. You'll work directly alongside senior scientists, executing and troubleshooting experiments at the bench while learning advanced techniques in a fast-moving, highly collaborative environment. We value curiosity, careful hands, and the willingness to take ownership of a result. Our scientists are eager to teach; we're hiring for motivation and trajectory as much as for existing skill. This is a fully hands-on bench role — while familiarity with computational biology and bioinformatics is welcome, the role does not involve AI/ML model development. Key responsibilities Execute molecular biology and biochemistry experiments at the bench under the direction of senior scientists Maintain meticulous, reproducible records and contribute to shared protocols Troubleshoot experiments, propose adjustments, and present results clearly in group meetings Maintain mammalian and bacterial cell lines, materials stocks, and reagent inventories Learn and adopt new techniques rapidly as projects evolve, with training provided Minimum qualifications Have hands-on research experience in molecular biology, biochemistry, or a closely related field Are proficient with foundational molecular biology techniques: PCR, gel electrophoresis, molecular cloning, and plasmid preparation Have experience with aseptic technique and bacterial or mammalian cell culture, and with nucleic acid extraction, purification, and quantification Follow, document, and adapt experimental protocols with care and precision Are highly motivated, eager to learn, and energized by hands-on bench work Are practical and resourceful — you'd rather find a way through than a reason it can't be done Listen carefully, take feedback well, ask good questions, and are comfortable when priorities shift quickly Are excited to use AI models as a tool at the bench to plan experiments, interpret data, and decide what to try next Preferred qualifications A BS or MS in molecular biology, biochemistry, chemical biology, microbiology, bioengineering, or a related discipline Protein expression and purification experience (e.g., affinity, SEC, IEX) Mammalian cell culture experience, including transfection and stable line maintenance Enzyme kinetics or quantitative biochemical assay development (fluorescence, absorbance, FRET) Next-generation sequencing library preparation experience Familiarity with common bioinformatics workflows and molecular biology software (e.g., sequence analysis, alignment, primer and construct design) Experience using AI tools such as Claude in a research setting — for literature review, protocol drafting, data interpretation, or experimental troubleshooting This is a rare opportunity to help define how a frontier AI company does biology. You'll learn quickly, work closely with people who want to teach, and see your results feed directly into how the most capable AI models are evaluated and improved. 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: $95,000 — $120,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We're seeking an exceptional Research Scientist to join the team. As a founding member of Life Sciences, you'll work in a high-impact group that operates at the intersection of computational and experimental biology. You'll help establish Anthropic as a leader in biology research while developing product intuition through direct engagement with the challenges and opportunities of laboratory science. Key responsibilities Design, execute, and iterate on the experimental programs at the core of the team's research: molecular biology, biochemistry, protein and nucleic acid characterization, high-throughput functional screens, and the assay development that makes new questions answerable Partner directly with computational biologists to design experiments that produce high-quality, analysis-ready data, and feed results back fast enough to immediately inform the next round of analysis Generate and prioritize hypotheses by combining your experimental judgment with the literature, curated biological knowledge bases, and the team's computational predictions Use Claude and our internal agent frameworks heavily in your own work — for experimental planning, protocol development, and data interpretation — and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases Minimum qualifications Have a Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or a related field Have a track record of bridging biological domain knowledge with computational approaches to solve real scientific problems Have basic proficiency in Python and are familiar with ML development practices Preferred qualifications Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Can work independently while maintaining strong collaboration with cross-functional teams Are results-oriented, with a bias towards flexibility and impact Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration Published research or practical experience in scientific AI applications Familiarity with modern machine learning techniques and model training methodologies Familiarity with biological databases (UniProt, GenBank, PDB) and computational biology tools This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for human health and scientific understanding. If you're excited about using your expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Summary: You'll own ClickUp's social strategy and build the systems to execute it at scale. You deeply understand what wins on each platform: the formats, the hooks, the timing, the tone. But you're not just a strategist who hands off a plan. You build AI-powered workflows and automation to operationalize your strategy so it runs continuously, learns from data, and scales beyond what any team could do manually. You're a social-native operator who builds systems, not an engineer who dabbles in social.   Responsibilities: - Own platform-native social strategy across X, LinkedIn, TikTok, and emerging channels: define what ClickUp's voice, format, and engagement approach looks like on each, tailored to what works on that platform - Develop and execute content and engagement strategies that drive measurable growth in reach, engagement, and audience quality - Identify trends, conversations, and cultural moments worth engaging with, and move fast enough to capitalize on them - Build AI-powered systems and automated workflows to execute social strategy at scale: monitoring, engagement, response, and content distribution - Create feedback loops between social performance data and strategy; use signal to iterate what gets made and how it gets distributed - Own proactive engagement: identify and engage relevant conversations, mentions, and opportunities using AI-powered monitoring and automated response workflows - Develop automated systems that handle routine engagement while escalating high-value or brand-sensitive conversations to humans - Own execution end-to-end: strategy through measurement, with clear accountability for outcomes - Partner with content creators, influencer team, and brand to ensure systems amplify their work - Establish and report on social growth KPIs with clear attribution   Requirements: - 5-7+ years in social media strategy with demonstrated expertise in platform-native content and engagement strategy (you know what works on X vs. LinkedIn vs. TikTok and why) - Proven track record of growing social presence with strategic intent: not just posting more, but understanding the mechanics of each platform and exploiting them - Strong creative taste and editorial instinct for what resonates on social: you can look at a piece of content and know whether it'll hit before it goes live - 2+ years building AI-powered systems and automated workflows to scale social execution (monitoring, engagement, response, distribution). Using ChatGPT to draft captions is not sufficient. - Technical fluency: comfortable with APIs, automation platforms (Zapier, Make, custom), and can deploy integrations between systems without an engineer - Strong strategic thinker who takes things from 0 to 1 independently: vision to execution, measurable outcomes, zero hand-holding - Data-obsessed: builds dashboards, runs experiments, iterates based on signal not gut Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is seeking a results-oriented Business Development Representative. The ideal candidate will be a self-starter with a proven track record of success in qualifying leads for commercial and enterprise-level accounts in the tech industry. RESPONSIBILITIES: - Use prospecting strategies to reach out to existing users of Docker that demonstrate a propensity to acquire commercial licenses - Identify the needs and challenges of the prospective customer - Determine the prospect's interest in Docker - Schedule discovery meetings for sales representatives and prospects - Achieve a target number of qualified prospects and new opportunities - Respond to and qualify incoming inquiries regarding interest in Docker products - Craft a great first impression to our prospects and customers by adding value during every customer touchpoint - Partner with cross-functional teams to share customer feedback - Engage in team development and mentoring QUALIFICATIONS: - 1+ years of work experience in an outbound-focused Sales role - A demonstrated track record of success - Proactive and driven - Excellent phone, writing, and listening skills - A propensity and willingness to gain a strong understanding of the industry and basic use cases/value propositions that our product offers - High integrity and a team-first mentality - Detail-oriented and strong work ethic - 4-year college degree or equivalent experience preferred WHAT TO EXPECT FIRST 30 DAYS - You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program - You will learn how to navigate through award-winning sales tools such as; Salesforce, ZoomInfo, Common Room, Outreach, Sales Navigator, and Docker - You will begin core SDR functions; prospecting, lead qualification, appointment setting go, warm handoffs, Salesforce hygiene, and pipeline management. - You will work closely with your manager, shadow your peers, and partner with your Account Executive to develop prospecting strategies and campaigns unique to your territory - At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role FIRST 60 DAYS - During your second month, you will be laser-focused on company research and identify target accounts and prospecting strategies in your territory - Build prospecting lists for target accounts and key decision-makers and then reach out to them using all communication channels (cold calls, email, chat, and social media) - You will comprehend and maintain in-depth knowledge of Docker’s products and have a great pitch - Adhere to team KPI metrics and prospecting standards - You will have an advanced understanding of tools, activities, and best practices to be successful in the BDR role FIRST 90 DAYS - In month three, you will be confident in your craft and ready to immerse yourself in your day job fully - You will continue efforts to improve messaging, processes, and daily activities - You will be an accomplished lead qualifier and an expert with tools and processes - You will be ready to operate independently at full speed Docker does not offer visa sponsorship for this role. Compensation & Equity United States: $59.5K – $85K OTE + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a threat intel manager to build and run our CBRN-E & Advanced Weapons team within Threat Intelligence. This team detects, investigates, and disrupts attempts to misuse Anthropic's AI systems for chemical, biological, radiological, nuclear, and explosives threats and for the development of advanced or novel weapons. You will mature this from a promising start into a rigorous program, hiring investigators with real CBRN-E, weaponization, and counterproliferation expertise, sharpening detection beyond broad harm screens into threat-specific capabilities, and personally leading the cases where scientific judgment determines whether we're seeing curiosity, legitimate research, or a genuine weapons-development attempt. The area carries significant engagement with government, biosecurity, and scientific stakeholders. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities Own strategy, priorities, and outcomes for the CBRN-E & Advanced Weapons mission area; mature it from an emerging function into a rigorous investigative program Hire, manage, and develop a team of investigators with deep domain expertise across biological, chemical, and weapons-development threat areas Personally lead investigations into attempts to use our systems to develop, enhance, or disseminate CBRN-E weapons, or advanced weapons capabilities Evolve detection from broad harm screens toward CBRN-specific signals and methodologies tailored to dual-use research concerns, in partnership with our collections engineers Set the analytic quality bar: cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported weapons programs Own escalation and enforcement decisions with policy and enforcement teams for the highest-severity misuse category we handle Lead external engagement with government agencies, biosecurity and chemical-security research communities, and scientific organizations Inform safety-by-design and capability-evaluation strategies by forecasting how threat actors will leverage frontier AI for CBRN-E purposes Serve as a liaison to government partners, educating stakeholders on AI-enabled threats through regular reporting and briefings. Minimum qualifications Are an intelligence analyst, policy expert, or researcher with deep domain expertise in biosecurity, chemical defense, weapons non-proliferation, dual-use research of concern (DURC), or related CBRN-E threat domains Have led investigative or analytic teams and are a senior domain expert with demonstrated mentorship and program-building experience ready to lead Have experience with threat actor profiling,threat intelligence analysis frameworks, and collection frameworks Have hands-on experience with large language models and how AI could be misused for CBRN-E threats Have excellent stakeholder management skills across researchers, policy experts, legal teams, government, and external partners Can present analytical work to technical and non-technical audiences, including government stakeholders and senior leadership Preferred qualifications Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or a related field Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats in the intelligence community or defense organizations Experience working with government agencies, defense/national security organizations, or in regulated environments handling sensitive CBRN-E programs, counterproliferation and threat analysis. Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance 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: $375,000 — $455,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role   We are seeking skilled and motivated Data Scientists to join our team in Paris. You will work at the intersection of product, research, and engineering. You will analyze user behavior, optimize product performance, and design data-driven features that enhance our AI product suite. This role is ideal for someone who thrives in a dynamic environment, enjoys tackling ambiguous problems, and wants to influence our product roadmap directly. The ideal candidate will have a strong background in data analysis, statistical modeling and machine learning, with a proven track record of delivering high-quality results in a fast-paced environment. If you’re passionate about data, curious about AI, and eager to shape the data science strategy and make an impact, this is the role for you.   What You Will Do   • Define key metrics, understand in-depth the performance of our AI products, and identify opportunities for improvement. • Design and analyze experiments (A/B tests, causal inference) to validate hypotheses and guide product decisions. • Design and implement end-to-end data science projects, from data collection and preprocessing to model building, evaluation, and deployment. • Evaluate model performance in training and production, identifying edge cases, and develop frameworks to measure user satisfaction. • Work with engineering to ensure data quality and accessibility for analytics and ML. • Depending on seniority, mentor peers and share best practices in data science and analytics.   What We're Looking For   • Proficiency in Python as well as SQL. • Highly technical but with strong product acumen. • Experience in extracting insights from large and complex data, summarizing findings and sharing takeaways for product and engineering teams. • Strong statistical intuition and experience with experimental design, causal inference and machine learning algorithms. • Excellent communication and ability to explain complex technical concepts to non-technical audiences. • Creative, curious, and innovative—you love exploring new ways to use data.   Hiring process  • Intro call with Recruiter (30 min) • Hiring Manager Interview (30 min) • Technical interview - Python + Stats/ML (60 min) • Live Case (45 min) • Value talk interview (30 min) • References WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. That makes this a consultative sale. You'll spend as much time helping a VP of Engineering pressure-test their AI strategy as you will selling against an alternative, mapping use cases, framing build-vs-buy, and giving clear recommendations grounded in what you've seen work at the frontier. Then you'll do the enterprise work: multithreading across a buying committee, navigating security and procurement, and turning a first workload into an eight-figure relationship. You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written. RESPONSIBILITIES - Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals - Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations - Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement - Win lighthouse customers that become references for their entire industry - Partner with forward-deployed engineering on technical evaluations, POCs, and architecture reviews - Feed signal back to product and engineering. What enterprises need next is a roadmap input we don't get anywhere else REQUIREMENTS - 8+ years of enterprise B2B sales experience in technology, ideally infrastructure, API/platform, or developer tooling - A track record of closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and long, complex cycles - Demonstrated ability to run a consultative sale. You've helped customers define a strategy, not just evaluate a product - Strong technical acumen: you can hold your own on model serving, GPU infrastructure, latency, and API architecture - Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government) - Excellent communication and comfort with high autonomy in a fast-moving environment NICE TO HAVE - Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Abu Dhabi ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE   • As our AI Deployment Strategist, you'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely IC role. • You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results. • You'll partner with Sales Executives in tailoring Mistral's offering into impactful solutions meeting with prospects needs • You'll design implementation projects and scope the required resources on both Mistral and customer side • You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations. • You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production. • You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs. • You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages. • You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world. • You will travel approximately 30 to 60% of your time. • Your role will involve spending time at the client’s office.   WHAT YOU WILL DO   Your scope will be as follows:   Pre-Sales & Sales Activities: • Conduct pre-sales calls to understand potential clients' needs, challenges, and aspirations. • Lead qualification calls to pinpoint prospects who would gain the most from our solutions. • Collaborate with the sales team to advance the sale pipeline, providing technical expertise and insights where necessary.   Product Implementation, Integration & Deployment: • Guide and support customers in deploying our models and products into their infrastructure. • Work closely with customers to fine-tune models according to their specific requirements. • Assist clients in integrating our APIs into their front-end interfaces, ensuring a smooth user experience. • Regularly liaise with the product and technical teams to relay feedback and suggest improvements. • Design and develop product features that would meet the need of many customers.   Customer Success & Support: • Continually ensure that the customer is maximizing the product's potential. • Provide post-deployment support, addressing any issues or challenges that arise promptly. • Conduct periodic reviews with customers to ascertain their satisfaction and gather feedback. • Offer recommendations for product optimisations or new features based on customer feedback. • Develop these features if needed.   Delivering value to the customers: • Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives. • Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer.  • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process • Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.       WHAT WE'RE LOOKING FOR   • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You have been involved in a customer facing role • Passion for AI, with a constant drive to stay updated and ahead of the curve • Proven experience in product implementation in AI or machine learning products • You have strong project & stakeholder management skills • You are proficient in developing custom prototypes using frameworks in Python or Javascript • You have foundational knowledge in AI/ML/Data science • Proficient in understanding and developing code • Familiarity with front-end interfaces and integration processes. • You have ability to connect technology and business value  • You are result driven and resilient • Fluent in English • Being familiar with sales qualification concepts is a strong plus   We are looking for adaptable team players who excel in a fast-paced environment and are ready to frequently support pre-sales as well as deployment tasks, contributing to our shared goals and success.   Hiring Process   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview  • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this role We are seeking a Staff Product Manager to serve as an internal PM embedded within this team. This is not a traditional external-facing product role—it is an internal platform product leadership position. You will own the roadmap for our enterprise systems, act as the strategic voice of the business within engineering, and bring senior product craft to a team of Analysts and engineers who build and operate GitLab's revenue infrastructure. This role is ideal for a seasoned product leader who has deep Quote-to-Cash or Finance domain knowledge, thrives at the intersection of business strategy and technical execution, and is energized by mentoring high-performing teams through complex, multi-program environments. What You’ll Do Internal Product Roadmap Ownership Define, own, and maintain the multi-quarter internal product roadmap for QTC and Finance Systems, covering Salesforce CPQ, Zuora Billing, Zuora Revenue, NetSuite, and the CDot metering platform. Translate business strategy from Finance, Revenue Operations, Deal Desk, and Sales into sequenced, prioritized system capabilities with clear outcomes and success metrics. Balance competing program demands—stabilization, net-new capability delivery, and technical debt reduction—with transparent trade-off frameworks. Drive quarterly and annual planning ceremonies, partnering with Engineering Managers and Business Systems Analysts to align capacity with roadmap commitments. Stakeholder Partnership & Requirements Translation Serve as the primary internal product voice for all QTC and Finance Systems initiatives, partnering closely with Finance, Accounting, Revenue Operations, Deal Desk, and Legal. Lead discovery, requirements workshops, and business process design sessions to translate complex financial and commercial requirements into actionable system specifications. Own the decision layer between "what the business needs" and "what engineering builds," resolving ambiguity with structured frameworks and documented decisions. Navigate cross-functional stakeholder dynamics including SOX compliance, audit controls, and revenue recognition governance (ASC 606/IFRS 15). Team Mentorship & Capability Building Act as a product craft mentor and senior thought partner for the BSA team, actively upskilling analysts in product thinking, requirements structuring, acceptance criteria definition, and roadmap communication. Model and instill product management best practices—user story writing, prioritization frameworks (e.g., RICE, MoSCoW), sprint review discipline, and outcome tracking—across the team. Partner with leadership to evolve the operating model of the team from project-execution-focused to product-thinking-led, raising the bar for how ETA delivers business value. Provide structured feedback and growth coaching to BSAs on career development, helping analysts grow toward senior and lead levels. Program Strategy & Delivery Oversight Lead product strategy for major multi-quarter programs (e.g., consumption-based billing iterations, CLM/Order Forms, Zuora Product Catalog refactors, ERP optimization) from discovery through go-live. Define and maintain program-level dependency maps across concurrent workstreams, surfacing risks early and driving cross-team resolution. Own UAT strategy and acceptance criteria in collaboration with BSAs, ensuring system changes meet business requirements before production release. Support post-launch stabilization and continuous improvement cycles, prioritizing defect resolution and incremental enhancements based on business impact. Systems Architecture Collaboration Partner with Enterprise Architects and Engineering Managers to evaluate build-vs-buy-vs-configure decisions for new capabilities. Bring informed opinions on QTC platform architecture trade-offs (e.g., billing model design, middleware integration patterns, revenue recognition rule configuration) based on deep domain knowledge. Stay current on platform roadmaps for Salesforce, Zuora, and NetSuite, identifying opportunities to leverage native capabilities before custom builds. What You’ll Bring 8+ years of product management experience, with at least 3 years in an internal platform PM, enterprise applications PM, or systems product leadership role. Deep domain expertise in Quote-to-Cash systems: Salesforce CPQ, Zuora Billing, Zuora Revenue, and NetSuite ERP are the core stack—hands-on configuration or implementation experience strongly preferred. Demonstrated ability to own and communicate multi-quarter internal product roadmaps to senior business and technology stakeholders. Strong command of revenue lifecycle processes: opportunity-to-quote, order management, billing and collections, revenue recognition (ASC 606), and financial close. Experience operating in a SOX-controlled environment with an understanding of audit trails, approval workflows, and change management requirements for financial systems. Track record of successfully running complex, multi-program delivery environments with competing priorities and shared engineering resources. Sufficient technical fluency to engage meaningfully with engineering on API design, data model decisions, and integration trade-offs—without needing to write code. Experience with consumption-based or usage-based billing models About the team You'll be joining the Revenue Lifecycle & Finance Systems team within GitLab's Enterprise Technology Architecture organization. Our team is responsible for the systems and processes that power GitLab's entire revenue lifecycle—from configure-price-quote through contract execution, billing, revenue recognition, and financial close. We are in an exciting and demanding phase: transitioning GitLab's go-to-market from a pure subscription model toward consumption-based offerings while simultaneously modernizing our core platforms. This role will be central to shaping how that evolution happens—and how the team grows in capability and product maturity alongside it. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $235,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .