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Location: Tokyo, Japan Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Business Operations Specialist at Via, you'll run the invoicing, payment, and contracting work that keeps our business operations moving. You'll be part of a global company that is a world leader in transit technology, working with an international team on our mission to build better public transportation systems. At the same time, you'll join a smaller team in Tokyo, in a region where Via is growing rapidly, so your work has real visibility and plenty of room for you to grow with it. It's a fast-paced environment that values ownership, moving fast, and solving meaningful problems. About the Role: Own the invoice and payment process from start to finish: prepare and process invoices, PO requests, and payment documentation, and track down missing information so nothing stalls. Drive contracting from first request to final signature: collect vendor details, prepare agreements, arrange signatures, and keep our contract logs accurate and up to date. Build and maintain the trackers and filing systems the team uses to see where everything stands. Be the go-to contact for internal teams and external partners, keeping communication fast, clear, and easy to follow. Take part in legal document check-ins with our colleagues across the globe several times a month. Keep day-to-day operations running smoothly, including scheduling and general administrative workflows. Pick up ad-hoc coordination tasks as they come up: spot the next step, gather what’s needed, and move it forward without waiting for instructions. About You: At least 10 years of experience in operations, finance admin, invoicing, or coordination, ideally including managing commercial contracts. Native-level or bilingual Japanese , written and spoken. Business-level English or higher, written and spoken. English is our company language, and you’ll work with international teams. Tech-savvy with hands-on experience in Google Workspace, Slack, Salesforce, or AI tools—or a proven track record of getting up to speed on new platforms fast. Strong administrative skills and attention to detail. A “get things done” mindset: you take initiative, respond quickly, and work independently with little supervision. Resourceful and flexible, and happy to work in a fast-paced environment where priorities change and the job description isn’t always clear-cut. Working Conditions: Hourly rate of ¥2,500–3,000 You’ll start as a contractor for one year, with the potential to convert to full-time based on mutual discussion. Core hours are 09:30–17:30, five days a week, for roughly 30–40 hours per week. Quarter-end periods require overtime work Hybrid: one day a week in our Toranomon, Tokyo office, and remote the rest of the week. Weekly legal document check-in meetings aligned with European time zones Health insurance covered by the company, with a company top-up. Commuting costs covered for commutes within 90 minutes of our Tokyo office. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?

Location: Remote About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. AI Data Collector — Turn the World Into Your Workplace! Do you love scavenger hunts? Enjoy exploring the world around you? Want to get paid competitively while doing something fun, flexible, and impactful? We’re looking for curious, detail-oriented individuals to join us as AI Data Collectors . In this role, the world becomes your workspace. You’ll help shape the future of AI by capturing high-quality images based on project guidelines—no two assignments are exactly the same. What You’ll Do As an AI Data Collector, you will: Capture assigned images in real-world environments , following specific project guidelines. Photograph objects, scenes, or activities across a wide range of settings, backgrounds, lighting conditions, and angles . Travel locally to collect data in homes, offices, stores, parks, streets, or other everyday locations . Follow detailed instructions to ensure image quality, variation, and accuracy. Document your process when needed and upload collected data through provided tools. Work independently, manage your time, and meet project deadlines. Support the development and improvement of next-generation AI technologies. Who You Are You’ll thrive in this role if you: Love exploring new places and noticing details others might miss Are reliable, self-motivated, and comfortable working solo Enjoy task-based, flexible work that changes from project to project Have a smartphone or camera with solid image quality Can follow instructions carefully and consistently Why You’ll Love This Role Competitive pay Flexible schedule — work when and where it fits your life Perfect for people who enjoy movement, creativity, and variety A chance to directly influence cutting-edge AI systems No prior experience needed — just enthusiasm and a keen eye! If you’re ready for work that feels like a real-world scavenger hunt with real rewards, we’d love to have you work with us. Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal. Up to $100/hour for US based candidates.

Location: Remote About HumanSignal Real-world data is the competitive edge in AI. HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery. We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide. We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out. If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk. AI Content Creator — Get Paid to Create Short-Form Content! Do you love being on camera? Enjoy creating content and telling stories? Want to get paid competitively for short, flexible projects you can do on your own schedule? We're looking for engaging, creative individuals to join us as AI Content Creators. In this role, your personality and creativity are your biggest assets. You'll help shape the future of AI by producing short-form video content based on project briefs — no two assignments are exactly alike. What You'll Do As an AI Content Creator, you will: Film short video clips ranging from 30 seconds to 2 hours based on project guidelines Create content across a variety of topics, formats, styles, and settings Follow detailed creative briefs to ensure content quality, variation, and accuracy Upload completed content through provided tools and platforms Work independently, manage your own time, and meet project deadlines Support the development and improvement of next-generation AI technologies Who You Are You'll thrive in this role if you: Are comfortable and confident on camera Are reliable, self-motivated, and can take direction well Enjoy task-based, flexible work that changes from project to project Have a smartphone or camera capable of shooting quality video Can follow creative briefs carefully and consistently Experience as a content creator is a plus, but not required Why You'll Love This Role Competitive pay — average $80/hour for approved work Flexible schedule — create content when and where it fits your life Perfect for creators, performers, and anyone who loves being on camera A chance to directly influence cutting-edge AI systems No prior experience required — just confidence, creativity, and a willingness to show up! If you're ready for gig work that lets you express yourself and get paid for it, we'd love to have you. Important: This opportunity is a 1099 contractor assignment and does not constitute employment with HumanSignal. Up to $80/hour for US-based candidates.

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 As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously. You will ground projections in microeconomic signals from the Anthropic Economic Index — usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement — so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system , we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Responsibilities Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation Analyze questions of income distribution and economic governance under transformative-AI scenarios Contribute to the development of AI-powered research tools for economics Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise Build and maintain relationships with academic institutions, policy think tanks, and other research partners Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders You May Be a Good Fit If You Have PhD in Economics, or an exceptional candidate close to completion Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics A research record that engages seriously with the possibility of transformative AI — you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against Relevant experience in some of: Macroeconomic modeling and structural estimation Scenario-based and time-series forecasting Task-based approaches to technological change Computational methods, agent-based modeling, or large-scale simulation Income distribution and inequality Using large language models in the research workflow Technical skills including: Proficiency in Python, Julia, or similar for computational economics Facility with AI coding agents as part of a research workflow Comfort learning new technical tools and frameworks Demonstrated ability to: Lead research projects from conception to publication Ship on tight timelines and revise in public as new data arrives Communicate technical findings to diverse audiences Strong interest in ensuring AI development benefits humanity Some Examples of Our Recent Work Labor market impacts of AI: A new measure and early evidence Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional Information For this role, we're looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession's usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI. Deadline to apply: None. Applications are 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: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai , the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission. We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business. What you’ll do Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own. Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t. Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change. Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them. Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers. Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale. Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages. Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle. You may be a good fit if you Have 8+ years building backend or platform systems in production, 3+ years leading large scale, complex projects or teams as an engineer or tech lead Have a track record of shipping in fast-moving environments where the requirements shift under you and you still land something correct and maintainable. Care about correctness and data integrity as first-class design concerns, not afterthoughts — and know how to build systems that are easy to reason about when money is on the line. Enjoy cross-functional work. Billing sits between Product, Finance, Sales, and Legal, and a lot of the job is translating between those worlds. Strong candidates may also have Built billing, payments, subscription, or fintech systems before — and know firsthand how a small pricing change ripples through the whole stack. Direct experience integrating or extending third-party billing and payment platforms, and opinions on where they fall short. Worked on revenue reconciliation, financial reporting pipelines, or systems that had to survive an audit. Experience with enterprise commerce — CPQ, quote-to-cash, contract management, or the operational side of B2B billing. Owned payments optimization in a self-serve or PLG environment — authorization rates, payment cost, fraud, chargebacks — and know what it takes to move those numbers without breaking the good customers. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. ABOUT THE ROLE - We have an awesome and collaborative team that loves helping each other and brainstorming new ideas. - Our work is highly visible and directly impacts our users, product, revenue and brand. - We work deliberately and thoughtfully, but with quick iteration cycles. - Your designs will make an immediate impact on the product. - We work with every team in the company and maintain the visual language at Teleport. - Engineers at Teleport genuinely care about how the product works, and they are exceptional partners in the product development process. WHAT YOU'LL DO - Communicate design ideas through storyboards, diagrams, wireframes, high-fidelity designs, and interactive prototypes. - Collaborate with engineers to identify requirements and limitations throughout planning, design, and implementation phases. - Solve data scalability challenges with elegant user interfaces. - Test and validate new features and designs with user research. - Collaborate with fellow designers on a shared company-wide design system. - Advocate for design best practices and contribute to the design culture at Teleport. - Contribute to the overall design and decision-making process for product and design strategy. - Help build the brand for the product and company. - Create designs for upcoming products and features. - Identify pain points in the product and create designs to improve/fix them. - Test and validate new features, identifying ways to improve them.Add new components and documentation to the product design system. - Lead collaborative workshops to facilitate problem solving and creative thinking. WHAT WE'RE LOOKING FOR - Strong design background and online portfolio. - Understanding of information architecture, user experience, and interaction design best practices. - Experience with user research, especially moderated usability testing. - Mastery of responsive design: ability to support a range viewport sizes from widescreen monitors to mobile devices. - A positive attitude and collaboration skills. - Clear and direct communication, and skill at bringing clarity in ambiguous situations. - Skill at leading design reviews and collaborative workshops. - Experience engaging with and designing for technically complex workflows, and an ability to work closely with engineers to identify technical requirements and limitations. - Experience creating interfaces that organize and scale with large amounts of data. - Fluency in Figma and design and prototyping tools. HOW WE HIRE Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do. For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout. You'll start with a 30-minute recruiter screen, followed by a 45-minute Hiring Manager Intro, a 1-hour Portfolio Review, and a Product Design Challenge. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: Johannesburg, South Africa Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job Tether and its affiliated entities (e.g. Bitfinex) are searching for an organized self-starter to join our Regulatory and Licensing team, to lead efforts in the Southern Africa Region. The successful candidate is someone with an understanding of the regulatory environment pertaining to the crypto-asset industry / stablecoin industry in the country, and who is excited by the opportunity to apply their existing legal and / or regulatory experience in an exciting and dynamic business environment. To succeed in this role, the incumbent will continuously strive to self-develop and enhance their skill sets including understanding the Company’s products and services, blockchain technology, and regulatory requirements. You will have a focus around working with regulators to translate policy objectives of the companies into favourable regulatory requirements in the applicable countries, as part of enabling the broader business strategy. From time to time, this may also include working on obtaining regulatory authorisations / approvals. The successful candidate should be comfortable managing relationships and communications between various stakeholders both internal and external to the business, including regulators and policy setters, as well as working with cross-functional teams such as Operations, Finance, Technology, Business Development. You will report to the Head of Regulatory and Licensing Affairs-Africa, and work alongside project managers and members of the wider business to execute on regulatory and licensing initiatives. Responsibilities Regulatory Affairs Monitor regulatory developments impacting Tether and affiliates companies in the Southern Africa Region. Maintain active relationships with policymakers, regulators, central banks, and financial intelligence units. Represent the company in consultations, workshops, industry roundtables, and regulatory dialogues. Prepare briefing papers, comment letters, and policy submissions aligned with broader global regulatory strategy. Identify opportunities to shape emerging frameworks in a risk-sensitive, innovation-oriented manner. Licensing & Authorisations Conduct structured assessments on whether licensing/registration is required for operations in the country. Lead or support licensing applications end-to-end - where needed - including preparation of supplementary documentation, legal opinion coordination, regulator communications, and post-submission follow-up. Strategy & Cross-Functional Collaboration Provide actionable risk and regulatory insights to internal stakeholders (legal, product, compliance, risk, commercial). Support enterprise-level planning for new products or expansions into the countries, advising on regulatory constraints and enablers. Help coordinate responses to supervisory reviews, information requests, and regulatory audits. Contribute to internal reporting and executive briefings on policy risks and regulatory trajectory within the region. Minimum of 5 years governmental affairs and regulatory affairs experience ideally within the financial services or crypto-asset industry in South Africa. Experience engaging with regulators or government bodies advocating and advising in a regulatory capacity, with demonstrated achievements securing favourable policy positions on behalf of another organisation. Excellent written and verbal communication skills, with the ability to synthesise complex regulatory topics for non-technical audiences. Proven ability to manage multiple stakeholders across borders and time zones. Communication: Exceptional communication skills, both written and verbal, with experience in public speaking and representing companies in regulatory discussions. Must be a strong team player, and willing to be fully engaged with key stakeholders both in our company but also with our partners. Must be a hands-on professional capable of working collaboratively and independently. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Amman, Jordan ProgressSoft is offering a Summer Internship Program designed to provide students and fresh graduates with practical, hands-on experience in a professional corporate environment. Interns will work closely with experienced teams and gain exposure to real projects and technologies. Internship Overview Interns can start in June, July, August or September (based on their preference) The internship lasts 4 weeks (adjustable to meet university requirements) Interns will gain hands-on experience, working closely with experienced teams on real projects Internship Tracks Interns can apply to one or more of the following tracks: Software Development Quality Control Implementation and Support Governance, Risk and Compliance Business Development Marketing User Experience (UX) Project Management Human Capital DevOps Cybersecurity Artificial Intelligence (AI) Creative Design Nursery Eligibility High school students, university students or fresh graduates Good academic performance Strong communication skills Excellent command of English, both verbal and written Strong interest in the chosen internship track Willingness to learn and gain practical experience Relevant background or experience in the chosen field is a plus How to Apply Submit a CV Include a scanned university application (if applicable) Specify preferred duration Specify preferred start date Indicate chosen department(s)

Location: Dhahran, Saudi Arabia Eram Talent is looking for a detail-oriented and analytical Associate HR Analyst to join our team. As a leading recruitment consultancy, we specialize in providing exceptional talent acquisition services across various industries, including Oil & Gas, Petroleum, Infrastructure, Energy, Water, Transportation, Science & Technology, and Health Care. The Associate HR Analyst will be responsible for collecting, analyzing, and interpreting HR data to help drive informed decision-making and optimize HR initiatives. The Associate HR Analyst plays a key role in supporting the development and execution of HR strategies by utilizing data-driven insights and operational expertise to drive business outcomes. Working closely with the HR team, this role focuses on collecting, analyzing, and interpreting complex workforce data to guide decision-making in areas such as talent acquisition, employee engagement, performance management, and organizational development. Responsibilities Conduct data analysis on various HR metrics, including recruitment, employee engagement, retention, and performance management. Prepare comprehensive reports and dashboards to communicate insights and trends to HR leadership. Support the HR team in identifying areas for improvement and developing actionable recommendations based on data findings. Assist in the management of HR-related surveys, ensuring data integrity and accuracy in reporting. Collaborate with other departments to gather data and support HR initiatives. Maintain accurate records and databases of HR metrics and analyses. Help in the development and implementation of HR analytics tools and systems. Requirements Bachelor’s degree in Human Resources, Business Administration, Finance, or a related field. 3+ years of experience in HR, data analysis, or a related function. Fresh graduates with strong analytical or organizational experience (e.g., student leadership, finance internships) are encouraged to apply. Proficiency in Microsoft Excel and data visualization tools (e.g., Power BI, Tableau). Familiarity with HR systems or ERP platforms (e.g., SAP, Oracle) is a plus. Familiarity with Compensation and Benefits Support. Strong analytical skills with the ability to interpret complex data sets. Proficiency in Microsoft Excel and experience with HR analytics software. Excellent communication and presentation skills to convey data insights effectively. Detail-oriented with strong organizational skills. A proactive attitude and willingness to learn and contribute to the HR team.

Location: Remote, Canada Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. The Role   We're looking for an applied AI researcher who has worked hands-on with healthcare data and is building modern LLM, RAG, and agentic AI systems.   Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.   You are a talented Senior Applied Researcher, looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.   Responsibilities - Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare. - Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions. - Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications - Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems. - Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed. - Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale. - Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.   Required Experience - Ph.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI       - Proven industry experience through multiple major product releases in a commercial SaaS environment. - Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes). - Proficiency in Python. Proficiency in Java or other languages helpful. - Proficiency with SQL and data engineering for AI/ML applications. - Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks) - Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers. - Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM. - Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale. - Strong communication and collaboration skills; comfortable working on a distributed team. - Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).    #LI-AV1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $144,000-181,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Remote - US Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. The Role   We're looking for an applied AI researcher who has worked hands-on with healthcare data and is building modern LLM, RAG, and agentic AI systems.   Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.   You are a talented Senior Applied Researcher looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.   Responsibilities - Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare. - Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions. - Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications - Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems. - Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed. - Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale. - Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.   Required Experience - Ph.D. grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI       - Proven industry experience through multiple major product releases in a commercial SaaS environment. - Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes). - Proficiency in Python. Proficiency in Java or other languages helpful. - Proficiency with SQL and data engineering for AI/ML applications. - Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks) - Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers. - Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM. - Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale. - Strong communication and collaboration skills; comfortable working on a distributed team. - Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).    #-LI-AV1 #LI- remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $163,000-204,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. At Halter, data is the lifeblood of everything we build. Every second, collars stream behavioural, location, and health signals from cows in paddocks across the globe. Pair that with remote sensing, grazing data and pasture cover, and you have the foundation for helping farmers make smarter decisions every single day. But that's only one piece. Internally, we rely on production data from our manufacturing floor, field performance data from collars in the wild, and product analytics to shape how we build and scale. ABOUT THE ROLE We're looking for a Data Engineer with strong backend instincts to join our Data Engineering team to build the pipelines that make all of this work together. Day-to-day you'll partner closely with our machine learning, product, and platform teams to design systems that are reliable, observable, and ready for what's next. Whether it's optimising ingestion for billions of daily events, building robust transformation layers, connecting disparate data sources into a coherent whole, or ensuring data quality at scale you'll own problems end-to-end. If you want your work to have a tangible impact on how the world farms, this is the role for you. WHAT YOU’LL BE RESPONSIBLE FOR - Design, build, and maintain scalable data pipelines that move data reliably from source to insight. - Own data modelling decisions: clean schemas, sensible abstractions, and infrastructure that scales with the business. - Work closely with machine learning, product, and platform teams to ensure data is accessible, accurate, and ready when they need it. - Apply AI tools (like Claude Code or Cursor) to improve velocity while keeping pipelines easy to understand and evolve.Champion data quality by building validation, monitoring, and alerting so issues surface before they cause problems downstream. - Help define and evolve data practices and standards across the organisation, balancing pragmatic delivery with long-term maintainability. - Support and mentor other engineers through design conversations, code reviews, and generous context sharing. - Stay hands-on, helping shape not just the plumbing, but the data products that drive decisions.Contribute to the reliability and freshness of our data systems, especially when things get tricky at scale. - Help evolve our testing strategies, CI/CD workflows, and infrastructure patterns for data. WHO WE’RE LOOKING FOR - You have strong experience building and maintaining data pipelines for mission-critical systems, with a solid grasp of batch and streaming patterns.You have a confident understanding of data engineering best practices: modelling, transformation, orchestration, and quality assurance. - You're familiar with cloud infrastructure, ideally AWS. We use Athena, S3, Kinesis, SQS, and SNS, but experience with similar tools translates well. - You understand how to build systems that are observable, testable, and easy to debug - You're a product-minded engineer. You care about why we're building something, not just how. - You embrace ambiguity. At Halter, the problems worth solving rarely come with a clear spec. You're comfortable navigating uncertainty and making pragmatic calls. - You're deeply curious and motivated by impact. Bonus points if you're genuinely interested in agriculture, but what matters most is that you want your work to matter. - You're a highly effective collaborator. You lift the people around you through clear communication, generous knowledge sharing, and a low ego. - Importantly, we're looking for someone who is passionate about what they do and eager to learn. OUR BENEFITS - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. - Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being. - Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave. OUR OFFICE FIRST APPROACH There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on, from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems. As Anthropic scales its infrastructure across large GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude, and an increasing share of the most challenging problems live below the application layer. We're building next-generation observability systems, including high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools, so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard. Key responsibilities Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet Own and evolve core observability platforms, leading migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes Reduce mean time to detection and resolution by building cross-signal correlation (from kernel-level events up to application traces), unified query interfaces, and AI-assisted diagnostic tooling Improve fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization Minimum qualifications Experience building and operating large-scale observability or monitoring infrastructure Hands-on experience with observability signals end to end, from instrumentation through ingest to query and analysis Understanding of high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale Comfort debugging below the application layer, in the kernel, the network stack, or the hardware Excellent communication skills and the ability to partner with internal teams to improve their operational visibility and incident response capabilities Ability to work independently on ambiguous, high-impact technical challenges Preferred qualifications Experience building or operating eBPF-based observability in production, such as tracing, profiling, or network visibility Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization Kernel- and syscall-level debugging experience and performance engineering skills Experience profiling or instrumenting accelerator workloads Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends Experience with log storage migrations or operating columnar databases (e.g., ClickHouse, BigQuery) for analytics workloads Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting Enthusiasm for building foundational infrastructure The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are looking for a Principal AI Engineer to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases. This is a hands-on technical role focused on building intelligent, autonomous chatbot systems operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms. What You’ll Be Doing Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases. Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization. Design multi-level intent routing, classifier training, and fallback strategies. Building dialogue quality evaluation systems. Drive automated bad-case discovery, A/B testing, and continuous iteration loops. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, or related field with at least 10 years of industry experience . Deep understanding of the engineering complexity behind industrial dialogue systems, including orchestration layers, intent classification, policy control, and fallback strategies. Proven experience deploying large-scale conversational products (To Business or To Consumer) in production environments. Hands-on experience designing multi-tier intent routing and training classifiers for high-accuracy task allocation. Experience building structured dialogue evaluation frameworks (automatic metrics, LLM-as-judge, human review systems, etc.). Strong experience driving automated bad-case discovery, logging systems, experiment design, and A/B testing frameworks. Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed OKX Statement The salary range for this position is $250,444.00 to $375,666.00. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID#LI-HYBRID #LI-ED1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Boston, MA; New York City, NY; 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 As the Sales Manager for Life Sciences at Anthropic, you’ll lead the foundational team introducing our frontier AI platform to the medtech ecosystem, spanning medical device, diagnostics, and digital health manufacturers. You’ll build and develop a team of Strategic Account Executives who drive adoption of safe, frontier AI by securing strategic deals with large medical device companies, diagnostics providers, and emerging medtech innovators. You’ll bring deep domain fluency in how medical devices are designed, validated, cleared or approved, manufactured, and monitored in the field to coach your team’s consultative sales approach, while becoming a trusted advisor yourself to senior medtech stakeholders, helping them embed and deploy AI across the product lifecycle from design and development through post-market surveillance. In collaboration with Product and Marketing, you’ll continuously refine the team’s value proposition, sales methodology, and market positioning to resonate with decision-makers across each medtech sub-segment. The ideal candidate has a passion for developing new market segments within medtech, pinpointing high-potential opportunities across engineering, regulatory, quality, manufacturing, clinical, and commercial functions, and building a team that can execute strategies to capture them. By driving deployment of Anthropic’s emerging products across medtech organizations, you’ll help them bring safer, better devices to patients faster while advancing the ethical development of AI. Key responsibilities Build and lead a specialized team of Strategic Account Executives covering medical device, diagnostics, and digital health accounts, setting growth targets by sub-segment and coaching reps through the full sales cycle from outbound to close Design and oversee sales strategies tailored to the distinct procurement cycles of medtech, including product development and engineering budgets, quality and regulatory compliance investment, manufacturing and supply chain programs, commercial and field organization budgets, and enterprise IT and digital transformation programs, translating market and trend analysis into account plans and campaigns that meet and exceed team revenue targets Identify and prioritize high-potential opportunities across product design and development, design controls and verification and validation, regulatory affairs and submissions, quality management and CAPA, manufacturing and supply chain, clinical evidence generation, complaint handling and post-market surveillance, and commercial and reimbursement functions, partnering cross-functionally to differentiate Anthropic’s offering for medtech use cases Run a disciplined pipeline and forecasting cadence across the team, managing an evolving sales process to deliver predictable, coachable performance against quota Serve as Anthropic’s domain expert across the medtech value chain, including device design and development, software as a medical device, regulatory submissions (510(k), PMA, De Novo, EU MDR), quality systems, manufacturing, post-market surveillance and vigilance reporting, and commercial launch, and translate that expertise into repeatable playbooks, frameworks, and go-to-market strategies your team and the broader field organization can scale Partner directly with C-suite and senior functional leaders (CEOs, CTOs, CIOs, Chief Quality Officers, CMOs, CCOs, and Heads of R&D, Engineering, and Regulatory Affairs) across medtech organizations to design multi-year AI transformation roadmaps and build long-term trusted advisor relationships Partner closely with Product and Applied AI to translate feedback from design engineers, regulatory and quality professionals, manufacturing teams, clinical affairs, and commercial teams into product and roadmap input, strengthening Anthropic’s value proposition across the segment Build strategic relationships with medtech-focused system integrators, technology vendors (including QMS, PLM, and ERP providers), contract manufacturers, and industry organizations to scale go-to-market capabilities Establish Anthropic’s position as the AI partner of choice across medtech through conference presentations, white papers, case studies, and participation in industry forums Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across medtech accounts Minimum qualifications 10+ years of experience in life sciences, with at least 5 years specifically selling into or working within medical device, diagnostics, or medtech organizations (R&D, engineering, regulatory, quality, manufacturing, or commercial functions, or related consulting) Experience in leadership roles managing or coaching enterprise sales teams, with a track record of driving measurable revenue outcomes in medtech or adjacent life sciences settings Deep understanding of medtech business models, operations, and economics, including the device product lifecycle, the regulatory environment (FDA 21 CFR Part 820 and QMSR, ISO 13485, EU MDR, IEC 62304, 21 CFR Part 11), and competitive dynamics A track record of managing or overseeing complex, multi-stakeholder sales cycles within medtech organizations, securing strategic deals by understanding both technical requirements and engineering, regulatory, quality, and commercial use cases Proven experience exceeding revenue targets by effectively managing a team’s pipeline and an evolving sales process Excellent communication skills, with the ability to present confidently across medtech audiences, from design engineers and quality and regulatory leaders to C-suite executives A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI Preferred qualifications Deep understanding of buying cycles, decision-making processes, and key pain points across multiple medtech sub-segments (e.g., large device manufacturers, diagnostics, digital health and SaMD) and across functions (engineering, regulatory, quality, manufacturing, commercial) A strategic, analytical approach to assessing the medtech market, paired with creative, tactical execution to capture opportunities and a willingness to roll up sleeves on deals alongside the team Experience developing and refining AI use cases in collaboration with customers and channel partners, spanning design and development, regulatory and quality documentation, manufacturing, post-market surveillance, or commercial functions Experience building or scaling a specialized sales team from an early stage Passion for and/or experience with advanced AI systems and their applications in medical devices and diagnostics, with strong conviction around safe, ethical development of AI in these contexts 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: $450,000 — $700,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are hiring our first Tokyo-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. This role requires native-level Japanese and business-level English proficiency, as candidates will support both Japanese-speaking customers and those across APAC/ANZ in English. Note: Specialists in Tokyo will work 10am - 6pm, Monday to Friday. Responsibilities: Become an expert in all Anthropic products Respond to user support cases, in English and Japanese, with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical ‘pager duty’ during APAC hours to ensure 24/7 Support for Critical Queries. Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you: Have experience in providing technical product support, in both English and Japanese, within a second tier, escalated, or priority support team. Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.) Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work. And particularly key for this role due to it being among the first Support hires in APAC. Are proficient at working in a technical environment and are interested in Anthropic’s products Possess a deep sense of ownership, and are excited to help us build our team! Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Washington, District of Columbia, United States Opportunity Brunswick Group is seeking a Director to join our Insight team, focused on evaluating the effectiveness of integrated communications campaigns and communications activity. Based in New York or Washington, D.C., this role will play a central part in how Brunswick defines, measures, and learns from communications activity performance, combining campaign data, primary research, and strategic judgment to inform client decision-making. You will drive the design and delivery of evaluation frameworks and research that assess not only what happened, but why it mattered and what should change next. Working in close partnership with Brunswick’s Creative, Digital and wider Communications colleagues, you will help shape measurement approaches for paid and organic activity across both established and emerging channels, including podcasts, TikTok, LinkedIn, and creator-led platforms. The role also requires active and responsible use of AI tools and large language models (LLMs) to enhance analysis, synthesis, and insight generation. About Brunswick Insight At Brunswick Insight, we support all phases of client engagement, from proposal through final deliverable. We provide the research, data, and analysis that form the strategic foundation of Brunswick’s advice. Our work helps clients understand stakeholder response, reputational impact, and the effectiveness of their communications in complex environments. As part of the Insight team, you will help strengthen and evolve Brunswick’s campaign and communications evaluation offer, ensuring our clients benefit from integrated, defensible, and decision-oriented measurement that informs creative strategy, media investment, and future communications choices. About the Role Lead the evaluation of integrated communications campaigns, from defining objectives and success measures through post-campaign learning Establish measurement frameworks that align campaign activity with delivering companies’ strategic and reputational goals Work closely with Creative, Digital and wider Communications colleagues to align evaluation with campaign strategy, messaging, audience targeting, and paid media objectives Design and conduct primary research (quantitative or qualitative work) to assess awareness, understanding, credibility, and message impact Design and conduct media and social media analysis to assess engagement, message penetration and differentiation Integrate research findings across bespoke and wider data sources to provide a coherent view of campaign effectiveness Use AI tools and LLM-based techniques to analyze large-scale data, while applying appropriate governance and quality controls Apply test-and-learn and experimental approaches where appropriate, and advise on what can and cannot be credibly inferred from the data Present metrics and frameworks in a visual and easily consumable format Translate complex, mixed-method evidence into clear, actionable insight and strategic recommendations Develop benchmarks and context to help clients understand performance over time and across campaigns Support new business development by shaping proposals and articulating Brunswick’s approach to campaign evaluation Mentor and develop junior colleagues, providing coaching on research design, analytical rigor, and insight storytelling Collaborate with Insight colleagues globally to share methodologies, tools, and best practices What We're Looking For Knowledge, Skills, and Abilities An experienced campaign evaluation, measurement, or insight professional with a strong grounding in integrated communications Comfortable operating at the intersection of research, analytics, creative strategy, and digital activation Able to design and conduct evaluation approaches that combine primary research, campaign performance data, and qualitative insight Fluent in the modern media ecosystem, including traditional news, social platforms, paid digital channels, podcasts, TikTok, LinkedIn, and emerging creator-led formats Confident exercising judgment around measurement trade-offs, attribution limits, and data quality Able to present frameworks and metrics in a visually compelling way A clear and persuasive communicator, able to explain methodology, AI-assisted analysis, and implications to senior, non-technical audiences Experienced in agency or consultancy environments where speed, rigor, and practicality must be balanced Curious and forward-looking, with an interest in experimentation, test-and-learn approaches, and innovation in measurement Collaborative, perceptive, and comfortable managing relationships across disciplines, offices, and seniority levels Discreet and trusted, with strong judgment when handling confidential client matters Ideal Candidate 8+ years of experience in campaign evaluation, communications measurement, insight, or opinion research, ideally within an agency or consultancy Demonstrated experience of conducting primary and secondary research, and integrating this with wider campaign performance data Strong understanding of earned, owned, paid, and shared media, including paid digital and emerging formats Experience working alongside creative, digital, or media teams to evaluate campaign effectiveness Familiarity with analytics and listening platforms such as Brandwatch, Meltwater, Talkwalker, Quid, Tubular, Podchaser or comparable tools Practical experience using AI tools and large language models in research or analysis workflows, with sound judgment around their limitations Strong analytical and strategic skills, with the ability to connect evidence to reputational, stakeholder, and business outcomes Excellent writing and presentation skills, with a track record of synthesizing complex information into clear narratives Client management experience, including contributing to proposals, pitches, and evaluation-led recommendations Advanced project management skills, with experience leading complex, time-sensitive workstreams Advanced proficiency in PowerPoint; familiarity with additional analytical tools or languages (e.g., Python, R, Tableau) is an advantage Why Join Us Whether you are joining a client facing team, a core services team, or starting out on your professional career journey, joining Brunswick unlocks a range of exceptional employee benefits to support your financial future, health and wellness, family and community and continuous professional development. The successful applicant will be eligible for the following compensation and benefits package: Base Pay: The annual base compensation range for this role is $190,000 - $240,000. The base pay offered will be determined by factors including experience, skills, training, office location, certifications, and education. Bonus Eligibility: Annual discretionary bonus contingent upon individual and firm-wide performance. Benefits: Medical, Dental, and Vision insurance. Disability insurance. Employee assistance program. Flexible spending account. Health savings account. Life insurance. Commuter Benefits. Generous Paid Time Off: 25 vacation days and 10 days sick leave, as well as 11 paid company holidays. Firm-sponsored 401(k) Plan with 3% automatic company contribution of base and bonus with an additional 1.5% profit share– immediate vesting. Career training and development opportunities. Employee discounts. Office Policy: At Brunswick, our work is a craft that thrives in teaching environments – whether in our offices or on-site with clients – through real-time observation, collaboration, human connection, clear guidance and by challenging one another to keep getting better. Our policy is that our team members are in person – either in the office or on-site with clients – at least four days each week. The firm will provide reasonable accommodation to qualified applicants or employees, as defined by applicable law. In addition to the application, the process may include virtual and in-person interviews, as well as an assessment, which may be timed. To request an accommodation during our application and hiring process, email americasaccommodations@brunswickgroup.com . About Brunswick Brunswick is a global advisory firm. We help companies tackle high-stakes issues, navigate complex stakeholder relationships, and deliver high-impact outcomes. Our clients value our ability to anticipate, shape, and respond to the key players and forces in the financial and investment arena, regulatory and geopolitical universe, NGO community, workforce and beyond. They rely on us for deep experience, fresh perspectives and original thinking. So, in Brunswick you will find an exceptional range of experience and talent with a rich mix of backgrounds. From the beginning, we have prioritized attracting, developing, and retaining the best professionals in the industry, united by a culture of inclusivity, excellence, and intellectual curiosity. Founded in 1987 in London, the firm has organically grown to 27 offices in 18 countries across the Americas, Europe, Middle East, Africa, Asia and Australia. We operate as a “one-firm firm” with no individual profit centers. This allows us to assemble fully integrated, bespoke teams for each client, able to draw on the full resources of Brunswick anywhere in the world. Brunswick is an equal opportunity employer.  All qualified applicants will be considered without regard to race, religion, color, national origin, gender, sexual orientation, age, disability, pregnancy, genetic information, or any other status protected by applicable law. Please read our Global Privacy Notice to understand how your data is managed.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams. The exact focus will depend on your strengths and the team's evolving needs. You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment. Responsibilities: Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity You may be a good fit if you: Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements Have experience working with research or ML teams and translating their needs into operational plans and technical requirements Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership Have a track record of building trust with engineering teams and driving changes through influence rather than authority Strong candidates may also have: Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers) Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments Deadline to Apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.