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Location: Munich Workplace: hybrid Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation.With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a  Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We're looking for a motivated Sales Development Representative (SDR) to join our team.Fluent German is required to communicate effectively with customers in the DACH region (Germany, Austria, Switzerland). As an SDR at Creatio, you'll play a critical role in fuelling our sales pipeline by identifying and qualifying leads, nurturing prospects, and supporting our go-to-market strategy in the CRM and low-code space.This is a hybrid role, based in Munich.Responsibilities:Lead Generation & Prospecting: Proactively engage with prospective clients, identify and qualify sales opportunities, and generate interest in Creatio’s products.Market Research & Intelligence: Understand the competitive landscape, identify target industry segments, and stay informed of industry trends in CRM and low-code automation.Collaboration with Sales & Marketing: Partner with sales executives to strategize on lead quality and conversion, ensuring a seamless hand-off for qualified opportunities.Pipeline Management: Maintain accurate records of activities in the CRM, manage lead and account data, and monitor progress against sales metrics.Outbound Campaigns: Develop personalized email, phone, and LinkedIn outreach to effectively engage prospects and build a strong pipeline.Performance Optimization: Continuously refine outreach techniques and adopt best practices to enhance prospecting success.Requirements:Industry Background: No prior experience required; interest in sales, marketing, or customer service is considered an advantage.Language Skills: Fluent German (required).Communication Skills: Strong verbal and written communication skills with the ability to engage effectively with new contacts.Outreach & Engagement: Comfortable initiating contact via phone, email, and LinkedIn.Organization & Multitasking: Ability to manage multiple tasks simultaneously while maintaining attention to detail.Customer Orientation: Customer-focused mindset with a strong motivation to achieve results.Team Collaboration: Ability to work effectively in a team environment and openness to feedback.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type. Key Responsibilities Lead Generation: Identify, engage, and qualify inbound and outbound prospects via email, phone, and LinkedIn outreach. Market Research: Stay up-to-date with industry trends and the competitive landscape; identify key segments and ideal customer profiles. Collaboration: Work closely with sales and marketing teams to align outreach strategies and ensure smooth handoff of qualified leads. CRM Management: Maintain accurate records in the CRM, track engagement metrics, and report on pipeline progress. Campaign Execution: Customize messaging for outbound campaigns to build interest and open new conversations. Process Optimization: Continuously refine outreach techniques and adopt best practices to improve conversion rates. What We're Looking For Some experience in customer-facing roles, sales, or internships in B2B environments is a plus. Interest in SaaS, CRM, or tech sales is preferred. Strong written and verbal communication skills, with confidence engaging senior stakeholders. Proficiency in cold outreach via phone, email, and LinkedIn. Ability to multitask across leads, accounts, and follow-ups. Data-driven mindset with the ability to adapt based on performance insights. Understanding of customer pain points and value-based selling techniques. Customer-centric and empathetic. Self-starter with a strong sense of ownership and persistence. Adaptable and eager to learn in a fast-paced environment. Collaborative and team-oriented. What You Can Expect from Us A globally recognized platform — named a Leader in multiple Gartner and Forrester reports. Commitment to customer success, with a strong NPS of 36. Supportive leadership and an open-door culture. A healthy balance of inbound leads and encouragement to grow your outbound pipeline. A remote-first hybrid model with regular in-person collaboration. A team culture built on care, ownership, and high standards. Rich corporate life — from global team events and creative workshops to sports challenges and seasonal parties. Comprehensive health benefits through our medical partner. Competitive compensation and paid leave for key life events, illness, and more.

Location: Aachen, Germany; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Bergisch Gladbach, Germany; Bernau, Germany; Bielefeld, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Göttingen, Germany; Greifswald, Germany; Görlizt, Germany; Geoergsmarienhütte, Germany; Freiburg, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Leipzig, Germany; Leverkusen, Germany; Koln, Germany; Lingen, Germany; Magdeburg, Germany; Münster, Germany; Munich, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Paderborn, Germany; Osnabrück, Germany; Nuremberg, Germany; Wuppertal, Germany; Warendorf, Germany; Viechtach, Germany; Varel, Germany; Ulm, Germany; Stuttgart, Germany; Schwerin, Germany; Rostock, Germany; Rimbach, Germany; Potsdam, Germany; Quedlinburg, Germany Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Sales Account Manager closer to the region ( Baden Württemberg) to join one of our clients' teams in Germany. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. What You Will Do Manage and grow relationships with an assigned list of small business partners (shop-to-shop visits) Travel daily to meet local partners (routes, contact info, and maps provided) Promote services, ensure client satisfaction, and close transactions Work with basic reporting tools (Excel, company CRM) Represent the company professionally in the field What You Need Fluent German (spoken and written) Basic English (enough to communicate with internal teams) Valid Category B Driver’s License and willingness to travel daily Basic tech skills : Using Android smartphones, Windows computers, and Excel Experience with shop or small business management , travel agencies , or client-facing roles is a plus Good communication, responsibility, and ability to work without micromanagement What We Offer Competitive base salary + monthly commission Bonuses every 6 and 12 months based on performance 20 paid vacation days + German public holidays off Flexible working hours (8 hours/day, 5 days/week) All equipment provided : company laptop, phone, card, company car Ongoing training and support from our experienced team

Location: Remote Automattic , the company behind WordPress.com , Jetpack , Tumblr , and WooCommerce , is seeking a talented attorney to lead our corporate, securities, M&A, and governance work. You’ll be an integral partner to our operations teams, giving strategic advice to help us run smoothly around the globe. We’re looking for a US-qualified attorney who is well versed in issues relevant to our late-stage private business, including advising on securities law compliance and corporate governance; handling complex international M&A, equity, and debt transactions; establishing and managing international subsidiaries; and running employee equity programs. We’re a team that works hard, enjoys a challenge, and has an optimistic approach, and we’re looking for someone with the same mindset. In this role, you will: Lead all areas related to the company’s global securities laws matters and related compliance. Manage our network of global subsidiaries, including managing all subsidiary board meetings, advising on and executing changes to our entity structure, implementing inter-company agreements, and assisting with local compliance requirements. Assist with board agendas and materials, and keep records of all meetings and corporate actions. Oversee our innovative stock plan for Automatticians, and structure, negotiate, and execute stock sale transactions. Lead deal execution for fundraising and M&A transactions. Manage our investment portfolio and lead deal execution for venture investments. Design legal and business processes that enable Automattic to scale internationally. We’d love to hear from you if you: Have a JD from a US-accredited law school and 5+ years’ experience in legal practice. Are well versed in issues relevant to our business, including advising on securities law compliance and corporate governance; managing international subsidiaries; structuring and negotiating financing, M&A, and other strategic transactions; software integrations; licensing (especially open source licenses); and intellectual property. Everything at Automattic is done on a global scale and in an international context; bonus points for breadth of experience outside the US. Thrive in a fast-paced environment, and have experience working on multiple complex transactions simultaneously, such as tender offers, fund formations, public offerings, etc. Possess an agile and curious mind. You’re not afraid to ask questions or admit when you are wrong. Are business-minded and practical in addressing legal issues. We don’t write a lot of memos at Automattic; we solve problems and get things done. Can write clear, concise, and informative documentation. Operate independently. Excel at understanding complex topics and explaining them to others in clear, concise terms, as well as finding streamlined solutions to complex issues. Love the open web and all it stands for. Compensation and Benefits Salary range: $180,000-$300,000 USD. Please note that salary ranges are global, regardless of location, and we pay in local currency. We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated. This isn’t your typical work-from-home job—we are a fully-remote company with an open vacation policy. Read more about our compensation philosophy. To see a full list of benefits by country, consult our Benefits Page . And check out these links to learn more about How We Hire and What We Expect from Ourselves . About Automattic Now in our 20th year , we’re the people behind WordPress.com , WooCommerce , Beeper , Tumblr , Simplenote , Jetpack , Longreads , Day One , PocketCasts , and more. We believe in making the web a better place. We’re a distributed company with more than 1500 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Enriched by this diversity, we’re united by a singular mission: to democratize publishing, commerce, and messaging so anyone with a story can tell it, anyone with a product can sell it, and everyone can manage their communications from a single source. In short, we help maintain a balance in society, creating and continually refining powerful tools people can use to compete fairly—regardless of income, gender, politics, language, or where they live in the world. We believe in Open Source , and the vast majority of our work is available under the GPL . Automattic is a Most Loved Company , an Equal Opportunity employer, and Disability Confident Committed . ( Here’s what that might mean for you .) If you need accommodations during the application or interview process, please fill out this form . We are committed to ensuring an accessible hiring process for all candidates. Learn more about our Employee Resource Groups . You can track your application status and more at MyGreenhouse . To learn about how we handle your data, please review our Job Applicant & Candidate Privacy Notice and our Privacy Policy . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the “Know Your Rights: Workplace Discrimination is Illegal” poster here . Automattic participates in the E-Verify program in certain locations, as required by law .

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic’s performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training.  As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems.  You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment. Responsibilities: Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor Manage day-to-day execution of the team's work Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment Coach and support your reports in understanding, and pursuing, their professional growth Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you: Have 1+ years of management experience in a technical environment, particularly performance or distributed systems Have a background in machine learning, AI, or a similar related technical field Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development Excel at building strong relationships with stakeholders at all levels Are a quick learner, capable of understanding and contributing to discussions on complex technical topics Have experience managing teams through periods of rapid growth and change Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level of abstraction) to be effective Strong candidates may also have experience with: High performance, large-scale ML systems GPU/Accelerator programming ML framework internals OS internals Language modeling with transformers 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: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a TPU Performance Engineer, you'll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A significant portion of this work will involve designing and optimizing kernels for the TPU. You will also provide feedback to researchers about how model changes impact performance. Strong candidates will have a track record of solving large-scale systems problems and low-level optimization. You may be a good fit if you: Have significant experience optimizing ML systems for TPUs, GPUs, or other accelerators Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems Designing and implementing kernels for TPUs or other ML accelerators Understanding accelerators at a deep level, e.g. a background in computer architecture ML framework internals Language modeling with transformers Representative projects: Implement low-latency, high-throughput sampling for large language models Adapt existing models for low-precision inference Build quantitative models of system performance Design and implement custom collective communication algorithms Debug kernel performance at the assembly level 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: $280,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Tokyo Workplace: onsite ABOUT YOU We are looking for a Regional Product Expert to supports Sales, Product, Product Marketing, and Partners across Xsolla’s monetization products. This role drives growth by enabling effective sales execution, supporting complex deals, and ensuring product readiness at the regional level. Acting as the “local voice” of the Monetization organization, the expert gathers market insights and partner feedback to inform global product and strategy decisions for Xsolla’s PC and mobile offerings.   This role will be based out of our Japan office and is 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. Responsibilities Partner with the regional Sales team to ensure product knowledge, positioning, and value articulation are effectively communicated in all customer interactions. Partnering with Product Marketing: Deliver localized enablement sessions, playbooks, and deal-support resources aligned with the global sales enablement strategy. Support go-to-market readiness for new product launches and updates, ensuring local alignment with global product narratives. Maintain awareness of regional competitive offerings and tailor enablement materials to local market needs. Collaborate with Sales and Product Growth Support leadership to identify and accelerate high-impact opportunities. Provide tactical deal support by aligning customer requirements with product capabilities and value propositions. Serve as a trusted advisor in deal strategy discussions, helping teams overcome objections and optimize monetization outcomes. Coordinate with Product and Engineering when unique partner requests or technical blockers arise. Monitor and report on product adoption, deal velocity, and partner engagement within the region. Coordinate with the Sales Team to ensure data accuracy within Salesforce and related systems to ensure visibility into pipeline health and performance metrics. Share recurring insights on regional trends, customer needs, and emerging opportunities with Product Growth Support leadership. Contribute to business reviews with structured data and qualitative feedback to guide prioritization and resource allocation. Act as a liaison between regional field teams and Product leadership to communicate partner feedback and product improvement opportunities. Participate in structured feedback loops to ensure that customer use cases and regional needs inform roadmap planning. Support documentation of use cases, blockers, and success stories to help refine global product strategy. Collaborate with Product Marketing on refining messaging and positioning for regional relevance. Adopt and maintain best practices in tools and workflows (Salesforce, Jira, internal dashboards, AI-driven analytics). Ensure consistent communication and coordination with counterparts in other regions to promote global alignment. Contribute to process improvements and tool optimization that enhance deal efficiency and data visibility. Participate in global readiness meetings and feedback sessions to share learnings and standardize execution. Stay informed on local industry trends, competitor activities, and partner sentiment to anticipate changes in market dynamics. Represent Xsolla’s monetization products in customer and partner discussions, trade shows, or industry events within the region. Provide qualitative intelligence to leadership to support market-entry decisions, product prioritization, and pricing strategies. Qualifications & Skills Experience as a Product Owner, Product Manager, Product Evangelist or similar for 5+ years Experience in the PC and mobile gaming industry (development, publishing or platforms) Understanding of monetization models in the local market including Subscriptions and LiveOps Awareness of D2C cases: Web Shops, external top-ups, in-game campaigns Experience interacting with B2B clients and/or publishers JLPT N1 (native-level) or N2 (full working professional) Japanese language proficiency required for client communication, stakeholder management and business documentation. Strong English proficiency required for collaboration with global teams and international stakeholders Bonus Points Work experience in an international company Experience in bringing a global product to the Japanese market Experience with BI / analytics / A/B testing / marketing Understanding of Japanese legislation regarding advertising, gacha, children and online payments The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws including the Act on the Protection of Personal Information (APPI), Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Dublin, IE 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: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments.  We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Strong candidates may also have experience with: High-performance, large-scale distributed systems Implementing and deploying machine learning systems at scale Load balancing, request routing, or traffic management systems LLM inference optimization, batching, and caching strategies Kubernetes and cloud infrastructure (AWS, GCP) Python or Rust You may be a good fit if you: Have significant software engineering experience, particularly with distributed systems Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Want to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Representative projects across the org: Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage Contributing to new inference features (e.g., structured sampling, prompt caching) Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €235.000 — €295.000 EUR 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: Michigan Workplace: hybrid IDT is looking for an experienced Direct Sales Representative. Bilingual professionals  with fluency in both English and Spanish are preferred. The Sales Representative's role is to sell the company’s products and services to retail stores in his/her assigned territory . He/she will open new accounts, service existing accounts, obtain and fulfill orders, and ensure customer satisfaction by visiting these retail stores on a regular basis. Responsibilities Outside Sales Representative of Prepaid Telecom Products (phone cards), Money Transfer, Wireless Services Open New Retail Doors and Service Existing Accounts Achieve Increasing Sales Revenue Quotas Over Time Serve as the lead point of contact for all customer needs Build and maintain new existing accounts Create and drive strong, long-lasting client relationships Ensure the timely and successful delivery of our solutions according to customer needs and objectives Requirements Proven work experience as a Sales Representative, Account Executive, Key Account Manager, Sales Account Manager, Junior Account Manager or relevant role Individual Must be Prepared to Go Door-to-Door Visiting Customers Basic Computer Skills –Comfortable Using Tablet and Bluetooth Equipment Demonstrable ability to communicate, present and influence key stakeholders at all levels of an organization Proven ability to juggle and sell  multiple products at a time, while maintaining sharp attention to detail About us: IDT is a Communications and Money Transfer company founded in 1990 and headquartered in Newark, New Jersey. IDT is an industry leader in prepaid communication, money transfer, and payment services and one of the world's largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20+ countries, and have over $1.5 billion in revenues.  Our flagship brand, Boss Revolution, includes Money Transfer, International Calling, and Mobile Top-Up services and supports IDT's mission of enabling people to keep in touch and share resources with family and friends worldwide. Join us!

Location: Michigan Workplace: hybrid IDT’s Retail division is looking for Brand Ambassadors (“BA”).  IDT is a leading communications and financial services company looking for enthusiastic and energetic Brand Ambassadors Responsibilities: In this role, you will be responsible for maintaining a close relationship with retailers that sell the company’s retail products. Responsibilities include ensuring that each retailer/store has the most updated branding, promotions, and training materials. The Brand Ambassador ensures that the retailer has all new products, assists with filling applications, and manages any type of claims or requests that might come from the retailer’s owners or staff. Brand Ambassadors may open new direct IDT branded stores and sell to unattended retailers if requested by the Company. More specifically, responsibilities include, but are not limited to: Visiting retailers/stores on a daily basis Maintain the POP material placement for all products and distribute new POP material Collect key information by doing specific surveys for different products IDT product sales (Hard Cards, Boss Revolution, POS, Merchant Services, Cash Advance, etc) Completion of Financial Service Applications (Money Transfer, Bill Payment, etc). Introduce new products to our retailers Research information about competitor's offerings and new products Create reports with the findings of each daily route and analyze data in order to offer recommendations Educate retailers regarding procedures, selling techniques, and general information about the products or special promotions Report stores that have low inventory or low balances. Participate in events and in-store promotions. Push and find leads for all our retail product lines. Use our CRM to update and maintain the information and pictures of our retailers. Requirements: Proven work experience in a relevant role, including as an account manager Bilingual professionals with fluency in both English and Spanish are preferred Must be prepared to go door-to-door visiting customers. Basic computer skills – comfortable using tablet and Bluetooth equipment Ability to communicate, present and influence key stakeholders at all levels Proven ability to multitask while maintaining sharp attention to detail. Authorized to work for all US employers. Must have a valid driver's license and a car (IDT offers a mileage and gas reimbursement program). We offer you: Hourly rate of $15.00/ hour + the ability to earn commissions. Mileage and gas reimbursement program. On-the-job training and a dynamic work environment. Excellent and competitive benefits package, including medical, dental, and 401(k). About us: IDT is a Communications and Money Transfer company founded in 1990 and headquartered in Newark, New Jersey. IDT is an industry leader in prepaid communication, money transfer, and payment services and one of the world's largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20+ countries, and have over $1.5 billion in revenues.  Our flagship brand, Boss Revolution, includes Money Transfer, International Calling, and Mobile Top-Up services and supports IDT's mission of enabling people to keep in touch and share resources with family and friends worldwide. Join us!

Location: Any/Tous les studios Workplace: onsite (Version française ci-dessous)   Thank you for your interest in a career at Larian Studios!   We’re always looking to connect with talented and passionate developers — especially those with expertise in engine programming. While we may not have an immediate opening at this time, by applying to this listing, you're expressing your interest in being considered for future opportunities at Larian Studios.   As an Engine Programmer in our open application, you may be contacted when a role opens up that aligns with your skills and experience. These roles typically involve working on the core proprietary engine using C++, architecture and systems that power our games, ensuring we have cutting edge features and technically robust tools for all developers at Larian.   We encourage you to use this opportunity to tell us about yourself — your background and skill!   In the meantime, please continue to check our Careers page regularly for any new positions that match your interests and skill set. We appreciate your interest in Larian and look forward to the possibility of working together in the future.   ------------------------------------------   Merci de vouloir rejoindre Larian Studios!   Nous sommes toujours à la recherche de développeurs et développeuses passionnés et talentueux, surtout s'ils possèdent une expertise dans le domaine de la programmation de moteur. Bien qu'il n'y ait pas de poste à pourvoir dans l'immédiat, vous pouvez manifester votre intérêt pour de futures opportunités au sein de Larian Studios en postulant à cette annonce.   Lorsqu'un poste correspondant à vos compétences et à votre expérience dans le domaine de la programmation de moteur se libérera, nous serons ainsi susceptibles de vous contacter. Ces postes impliquent généralement de travailler sur le moteur propriétaire en utilisant le C++, ainsi que sur l'architecture et les systèmes de nos jeux, afin que tous les développeurs de Larian bénéficient de fonctionnalités de pointe et d'outils robustes sur le plan technique.   Nous vous encourageons à profiter de cette occasion pour nous parler de vous, de votre parcours et de vos compétences! En attendant, nous vous invitons à consulter régulièrement notre page consacrée aux carrières pour prendre connaissance des offres d'emploi qui pourraient correspondre à vos intérêts et à vos compétences.   Merci de l'intérêt que vous portez à Larian. Nous espérons avoir la possibilité de travailler ensemble à l'avenir.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Principal Wireless Protocol Architect/Engineer We are building a small team of versatile and enthusiastic leaders to create new products for the PlayStation community. Our team recently delivered the new PlayStation Link, PULSE Explore and PULSE Elite products, recently announced the FlexStrike and PULSE Elevate products, and are hard at work on what comes next. We need an experienced and innovative firmware engineer to help build and support our new products and features. In this role, you will be the technical point of accountability for wireless across accessories: hardware, platform software, audio, security, and product all will route protocol questions to you. You will represent the protocol and the implementation to silicon and ODM partners, evaluate combo-SoC roadmaps, drive vendor firmware defects to resolution, and design so that a supplier change is a port, not a rewrite. You will write the technical strategy documents that let a Director and a VP make an informed decision. And, grow the technical depth by being the leader that mentors senior engineers toward staff and principal, and raise the design-review bar for the whole org. Come and play with us! Responsibilities In this role, you will lead firmware development for high profile product development efforts. You will be responsible for technical leadership, system architecture, and execution across the firmware domain, working closely with internal teams and external partners. Own firmware architecture and design for transport, wireless protocol, firmware and software stacks for embedded devices from concept through production Develop and define communication protocols to enable peripheral functionality Design, implement, and scale low-latency RF/wireless communication protocols for embedded systems Architect structured, modular, and reusable firmware frameworks that scale across multiple platforms and product lines Lead and mentor firmware engineers (internal and external partners) Ensure firmware designs support cross-platform reuse and long-term scalability Troubleshoot complex system-level issues across hardware, firmware, and RF domains Skills Strong in firmware and software architectural patterns Strong embedded firmware development experience in C/C++ Industry authority level experience with RF/wireless systems (e.g., Bluetooth, low-latency audio, or similar technologies) Deep understanding of low-latency embedded systems and communication protocol design Proven ability to design scalable, reusable, and cross-platform firmware architectures Experience with ARM microcontrollers and low-power system design Hands-on experience with hardware bring-up and debugging (including RF/system-level issues) Experience implementing hardware-in-the-loop and automated testing Strong system-level thinking across hardware and software boundaries Ability to operate at both high-level system design and low-level implementation Proven ability to lead firmware efforts across teams and partners Experience with consumer electronics product development from concept through mass production Strong problem-solving and debugging skills Qualifications Bachelor’s degree in electrical engineering, Computer Engineering, Computer Science, or related field (or equivalent experience) 15+ years of experience in embedded firmware development Demonstrated experience leading firmware development for shipped products Strong experience in RF/wireless or low-latency embedded systems Excellent written and verbal communication skills Passion for gaming, digital entertainment, and consumer electronics is a plus Nice to Have Experience with wireless audio or ultra-low latency systems Experience working with external development partners or ODMs Experience with kernel or driver development (Linux, Windows, or similar) Experience scaling engineering processes and mentoring teams Working Conditions Energetic, collaborative and passionate engineers delivering product Travel (domestic and international) required. Estimated 15-20% At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $209,900 — $314,900 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, CA 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 Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the role As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity. Responsibilities: Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows Collaborate to translate experimental requirements into production-ready infrastructure Develop large scale data pipelines to handle advanced language model training requirements Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems Are a strong communicator and enjoy working collaboratively Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale Have proven track record of building large-scale data pipelines and distributed storage systems Excel at diagnosing and resolving complex infrastructure challenges in production environments Can work effectively across the full ML stack from data pipelines to performance optimization Have experience collaborating with other researchers to scale experimental ideas Thrive in fast-paced environments and can rapidly iterate from experimentation to production Strong candidates may also have: Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) Background in building infrastructure for AI research labs or large-scale ML organizations Knowledge of GPU/TPU architectures and  language model inference optimization Experience with cloud platforms (AWS, GCP) at enterprise scale Familiarity with VM and container orchestration. Experience with workflow orchestration tools and experiment management systems History working with large scale reinforcement learning Comfort with large scale data pipelines (Beam, Spark, Dask, …) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Malta About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Calling all team-players - are you looking for a flexible role that could shape the future of retail? If so, then let’s talk! We are currently looking for a full-time (40 hours per week) Grocery Store Assistant (or Grocery Associate, as we call them) to join our awesome team in the Burmarrad Wolt Market! What you’ll be doing Taking in orders through our Merchant app Picking and packing groceries, and handing them to customers and courier partners Unloading and stacking food and supplies that we receive from vendors, also using FIFO (First in First out) Maintaining order and cleanliness of the store Our humble expectations You are proactive and a fast learner with the ability to multitask. You’ll work in flexible shifts in both morning and evening shifts across weekdays and weekends - our store is open 7 days a week. The working hours are from 6:45AM until 11PM , so you'll need to have a transportation to commute during early morning and late evening hours. We require flexibility to work across all our working hours, including weekends and public holidays. Experience from working in a grocery store is an advantage! You have a full professional proficiency in English. You have the right to work in Malta, and you're already located in the country What you’ll get by joining us Minimum 24 days of vacation per year Wolt credits cashback benefit on wolt delivery orders Employee assistance program Wolt-wide training programs Fruits and drinks at the Wolt Market If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an on-going basis, so send through your application along with your CV as soon as possible! 💙 The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position is not eligible for consideration for an equity/RSU grant. Pay Range: €7,21 — €7,21 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Bogotá, Colombia; Mexico City, Mexico; Lima, Peru; Caracas, Venezuela, Bolivarian Republic of; Buenos Aires, Argentina Uptalent.io is seeking a Remote Pre-Engineered Metal Building Detailer to join our dynamic team which specializes in providing innovative solutions for the construction industry. In this role, you will collaborate with architects, engineers, and project managers to create detailed drawings and specifications for pre-engineered metal buildings. Your expertise will help ensure that our designs meet client requirements, industry standards, and safety regulations. Responsibilities: Create accurate and detailed fabrication drawings for pre-engineered metal building systems using CAD software. Review project specifications, architectural designs, and structural drawings to ensure precision in detailing. Coordinate with other design professionals to address potential design conflicts and integrate solutions. Prepare material lists and project documentation for fabrication and construction. Ensure compliance with building codes, industry standards, and client specifications. Work collaboratively with the engineering team to optimize building design for efficiency and cost-effectiveness. Requirements Proven experience as a Detailer with a focus on pre-engineered metal buildings. Strong proficiency in CAD software (e.g., AutoCAD, Tekla, or similar). Solid understanding of structural design principles, building codes, and industry standards. Attention to detail and exceptional technical drawing skills. Excellent communication and collaboration skills to work effectively in a remote team environment. Ability to manage multiple projects and deadlines efficiently. Familiarity with project management software and tools is a plus. Bachelor's degree in Civil Engineering, Structural Engineering, or related field is preferred but not mandatory. Benefits Work From Home or anywhere Highly Competitive Compensation Work for the most exciting companies in the US Flexible Schedule Healthy Work-Life Balance

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. You must be based in one of the countries on this list and must overlap with East Africa Time and US Eastern Time (8am-6pm) by at least 3 hours. As an example, 6PM East Africa Time is 11AM US Eastern time in the summer and 10AM in the winter. In practice, if you are in the Eastern US timezone, that means being regularly available for 8AM meetings and some 7AM ones. We know people have commitments like school drop-offs, so you’re encouraged to set a schedule that works for you—as long as there’s sufficient overlap with the team. We are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. About this role Technology plays a central role in how GiveDirectly delivers cash—whether that’s identifying recipients in hard-to-reach places, sending payments quickly after disasters, or powering the platforms our donors use to give. We’re hiring a Senior Software Engineer to help build the systems behind this work. Our engineering team still operates like a startup within GiveDirectly—lean, fast-moving, and high-autonomy. You’ll lean into product thinking, help shape the roadmap, and collaborate closely across disciplines to solve real-world problems. The specific team you’ll join is still being finalized—it could be: Our Programs Engineering team (getting cash in the hands of people experiencing extreme poverty), Our Fundraising Engineering team (raising more money for recipients), or Our International Rapid Response team (getting cash to disaster-affected communities within 5 days of a crisis—anywhere in the world) No matter the team, you’ll play a central role in scaling our impact: getting more money, to more people, more efficiently. This is a hands-on role with real ownership. You’ll help shape architecture, ship production-ready code, and work side-by-side with teammates across product, data, and operations. We’re looking for someone excited to wear multiple hats, move quickly, and define what great engineering looks like in a mission-driven org Level: Senior Software Engineer Travel Requirement: Must be able to travel ~1-2 times per year to one of our countries of operation for team retreats or field visits. What you’ll do: Design and build scalable, reliable systems that power our core operations—whether that’s donor platforms, systems that deliver payments directly to recipients, or crisis response tools reaching hundreds of thousands of people globally. Own end-to-end development of new features and services, from architecture through deployment and monitoring. Improve our developer workflows by strengthening CI/CD pipelines, reducing manual steps, and increasing test coverage. Collaborate with cross-functional teams (product, ops, data) to understand real-world needs and ship tools that directly support program delivery in the field. Debug and resolve production issues across our stack, with a focus on root cause analysis and long-term fixes. Advocate for sustainable engineering practices, including testing, documentation, and monitoring Help shape our tech roadmap with an eye toward scale, maintainability, and recipient experience What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Language Requirement: English 4+ years of industry experience creating production-caliber software and systems Experience with backend architecture: databases, cloud services, APIs Experience building infrastructure to deploy software Experience with strongly-typed, object-oriented programming such as Java, C#, Go, etc. and scripting languages such as Python, Ruby, etc. High degree of ownership and autonomy - you proactively advocate for ways to improve systems and constantly leave our codebase in a better state than you found it Strong analytical skills and communication - able to break down complex problems, describe technical trade-offs, and collaborate with cross-functional partners (e.g. technical program managers, product managers) Bonus: Experience using Python and AWS in a production environment Bonus: experience with payments/financial software and/or experience with microservice/serverless architecture Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. United States Base Salary: $181,130 Bonus at Target Performance: 15% (~$27,170, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~$31,789 in 2025) Estimated Total Compensation at Target: $208,300+ Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £124,370 Bonus at Target Performance: 15% (~£18,656, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~£21,827 in 2025) Estimated Total Compensation at Target: £143,026+ Annual Benefits Stipend: £2,760 Kenya Base Salary: $112,350 Bonus at Target Performance: 15% (~$16,853, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~$19,717 in 2025) Estimated Total Compensation at Target: $129,203+ Annual Benefits Stipend: $8,453 This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. Why work at GiveDirectly? At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including: A positive and supportive team with opportunities for advancement A demonstrated commitment to helping all staff develop and grow A competitive salary, including bonus A robust health benefits plan (exact details will vary by country) Unlimited PTO (that we encourage staff to take!) Desk allowance and flexible work location About this specific hiring process Take-home coding assignment Live Coding (60 mins) Systems Design (60 mins) Project Deep Dive + Behavioral (60 mins) *It’s possible that there will be adjustments to this interview process. Any changes will be communicated to you during the process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

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 Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows. About the role As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery Scaling research ideas from prototype to production Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use Implement distributed training systems and performance optimizations to support large-scale model development You may be a good fit if you: Have 8+ years of ML research experience Are familiar with large scale language model training, evaluation, and inference pipelines Enjoy obsessively iterating on immediate blockers towards longterm goals Thrive working collaboratively to solve problems Have expertise in performance optimization and distributed computing systems Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems Can translate research concepts into scalable engineering solutions Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems Strong candidates may also have: Expertise with performance optimization for language model inference and training Experience with computer use automation and agentic AI systems A history working on reinforcement learning approaches for complex task completion Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing) Have experience with VM/sandboxing/container deployment and large-scale data processing Experience working with large scale data problem solving and infrastructure Published research or practical experience in scientific AI applications or long-horizon reasoning The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 Ġwann, Malta About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Calling all team-players - are you looking for a flexible role that could shape the future of retail? If so, then let’s talk! We are currently looking for a Grocery Store Assistant (or Grocery Associate, as we call them) to join our awesome team in the San Gwann Wolt Market! 🤩 Please note that this is full-time position ( 40h/per week for rotating shifts during our store's opening hours - 6:45:00:00) What you’ll be doing Taking in orders through our Merchant app Picking and packing groceries, and handing them to customers and courier partners Unloading food and supplies that we receive from vendors Managing our internal systems which include precise information about nutrients and allergens Maintaining order and cleanliness of the store Our humble expectations You are proactive and a fast learner with the ability to multitask You’ll work in flexible shifts in both morning and evening shifts across weekdays and weekends - our store is open 7 days a week. The working hours are from 6:45AM until 01AM , so you'll need to have a transportation to commute during early morning and late evening hours. We require flexibility to work across all our working hours, including weekends and public holidays. Experience from working in a grocery store is an advantage! You have a full professional proficiency in English You have the right to work in Malta and are already located in the country What you’ll get by joining us Minimum 24 days of vacation per year Wolt credits cashback benefit Employee assistance program Wolt-wide training programs Team budgets per year - to spend for dinners and activities with your colleagues Fruits and drinks at the Wolt Market If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an on-going basis, so send through your application along with your CV as soon as possible! 💙 The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position is not eligible for consideration for an equity/RSU grant. Pay Range: €7,21 — €7,21 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include... Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research. Alignment Assessments : Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our Claude 4 System Card ) , misalignment-risk safety cases, and coordination with third-party evaluators. Safeguards Research : Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. Model Welfare: Investigating and addressing potential model welfare, moral status, and related questions. See our program announcement and welfare assessment in the Claude 4 system card for more. Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area. Representative projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.