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Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Atlanta, US Denver, US Washington DC, US Applications will be accepted until November 23, 2026. About the Role We are seeking a DCIM Administrator to build and run our Data Center Infrastructure Management program.  This technical role is part of the Infrastructure Operations organization, which is responsible for building, scaling, and running one of the world's largest and most important cloud networks. Cloudflare’s global network spans more than 330 cities, and is a key strategic asset that supports all of our customers and products. You are the operational backbone and workflow gatekeeper for all physical changes across our global network. Your meticulous work ensures every Move, Add, and Change (MAC) is executed only through a validated Nlyte work order, driving the highest level of data accuracy essential for supporting our edge and core security and performance services. We operate in a fast-paced environment where you will be expected to drive both project delivery and operational excellence through continuous improvement, standardization, and optimization. This isn't just about day to day operations; it's about building a scalable, performant, secure, and resilient infrastructure that plays a critical role in us building a better Internet. Responsibilities Assist with the successful deployment of CAPEX investments, ensuring our infrastructure scales ahead of demand. Collaborate with cross-functional partners including Project Managers, Capacity Planning, Finance, and Security to deliver on ambitious group initiatives. Manage key third-party vendors and contractors, holding them accountable for performance and service level agreements (SLAs). Be a role model and champion for continuous improvement, standardization, optimization, and automation. Workflow Execution: Administer and manage the Nlyte Workflow/Work Order processes, including; issuing, tracking, and closing all physical MAC tickets. Enforce strict adherence to the defined process by global technicians. Data Integrity Champion: Perform daily data entry, manage automated asset discovery tools, and reconcile physical inventory against Nlyte records to guarantee 99.5%+ accuracy. Asset Lifecycle Management (ALM): Own the entire asset data chain from receiving (scanning/logging) through deployment and decommissioning. Model Library Management: Maintain the Nlyte Materials Catalog, ensuring all new hardware models have precise, validated resource profiles (power, cooling, rack elevations) to enable Analyst validation. Field Training & Support: Provide hands-on training and support for global technicians on using the Nlyte mobile app, scanning tools, and required workflow procedures. Desirable Skills, Knowledge, and Experience You are a DCIM expert, highly organized and efficient operator.   You have a track record of driving operational excellence through establishing and enforcing standard operating procedures and continuous improvement efforts. You are passionate about asset management and obsessed over data accuracy.  This role is for hands-on asset and infrastructure administrators who can rapidly learn, adapt, and apply learnings to enable fast and sustainable growth. You thrive in a hyper-growth environment and have an outstanding ability to get things done under pressure while maintaining optimism and grit. You are Transparent; you ensure every physical action is accurately logged and instantly visible to stakeholders globally.  You are Principled; you have an uncompromising commitment to data integrity and refuse to bypass established workflows. Education: Bachelor's degree in Information Technology, Logistics, Manufacturing, Business Administration, or a related field, or equivalent practical experience. Experience: 4+ years of hands-on experience in IT Asset Management or DCIM administration (Nlyte experience is a strong advantage). Direct experience administering a workflow or change management system, with a focus on discipline and process enforcement in a multi-site environment. Experience with change management in ERP and asset management transformation efforts. Experience operating in a high-velocity environment involving geographic dispersed Data Centers across various time zones. Technical Competencies: High proficiency in physical inventory control, including barcode/RFID systems. Deep familiarity with data center infrastructure, including server hardware, network hardware, rack elevation/density, and power distribution Knowledge of structured cabling, and cabling standards. Advanced proficiency in Excel (VLOOKUP, Pivot Tables) or basic SQL. Expert in workflow Management (MAC Process): Proven experience managing a high-volume Move, Add, Change queue. Soft Skills: Exceptional attention to detail and strong organizational skills. Excellent problem-solving and root cause analysis capabilities. Meticulous Attention to Detail: A "Zero-Defect" mindset regarding data entry. Strong verbal and written communication skills. Documentation & SOP Creation: Experience writing Standard Operating Procedures (SOPs) for remote hands technicians. Remote Training Ability: Experience training or guiding remote teams. Compensation Compensation may be adjusted depending on work location. For Colorado based hires: Estimated annual salary of $98,000 - $135,000 For Remote - Washington and Washington (Kirkland) based hires: Estimated annual salary of $120,000 - $165,000 For Washington D.C. based hires: Estimated annual salary of $120,000 - $165,000 Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Federal Partners Account Executive at Anthropic, you'll drive revenue by selling our safe, frontier AI solutions directly to Systems Integrators (SI) and Independent Software Vendors (ISV) in the public sector space. You'll focus on selling directly to partners to ensure Anthropic's AI capabilities are delivered within their own solutions and service offerings. Working closely with GTM, product, and marketing teams, you'll help these partners understand and implement our technology while driving significant revenue growth. Responsibilities Win new business and drive revenue for Anthropic by directly selling to Systems Integrators and ISVs in the public sector space, owning the full sales cycle from prospecting through close Identify net-new revenue by selling to SIs with prime contracts, helping them integrate AI into their technology stack and consulting practices to differentiate their offerings, accelerate delivery, and win more competitive bids Navigate complex technical sales conversations with partners' engineering and product teams Work with partners' technical teams to ensure successful implementation, adoption and deployment of Anthropic's AI capabilities into their solutions Coordinate with cloud providers (AWS, GCP) to align technical and commercial aspects of deals Build deep relationships with key decision makers within partner organizations Provide market intelligence and partner feedback to product teams to influence our roadmap and feature development Create and maintain sales playbooks specific to SI and ISV sales motions Track and forecast sales pipeline specific to the partner segment You may be a good fit if you have 7+ years of enterprise sales experience selling directly to Systems Integrators and ISVs Security clearances preferred Strong track record of closing complex technical sales to partner organizations Deep understanding of SI and ISV business models, buying processes, and technology evaluation criteria Experience navigating technical requirements and security standards specific to public sector implementations Proven ability to exceed revenue targets in partner-focused sales roles Strong technical acumen and ability to engage with partners' engineering teams Experience coordinating with cloud providers in complex deal scenarios Excellent communication skills and ability to present to both technical and business audiences Strategic thinking combined with hands-on sales execution capabilities Understanding of public sector procurement processes and how partners operate within them A passion for safe and ethical AI development, with the ability to articulate its technical value to partner organizations Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 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: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will join our Data & Analytics team, which owns two core data domains end to end: • Public market data — trades, quotes, funding, and full order-book data continuously captured from global crypto exchanges at petabyte scale. • Proprietary trading data — orders, fills, positions, balances, and settlement activity streamed from internal desks and systems. We are one team rather than separate engineering and analytics functions. The same people build pipelines, model data, validate its correctness, and answer the business questions it supports. You will see data problems through end to end: from the exchange connection or internal source through to the analysis produced from it. This is an exciting time to join. We are rebuilding the platform on ClickHouse, Apache Iceberg, and Kafka while continuing to support live trading. The work combines substantial platform design with hands-on ownership of business-critical data. What You’ll Be Doing • Build and operate pipelines that bring market and trading data into our platform, including ingestion, parsing, normalization, validation, and storage. • Build and extend Python- and SQL-based datasets and data models used by trading desks, quants, research, and analytics teams. • Own data correctness through source reconciliation, data-quality and completeness checks, gap and duplicate detection, backfills, and replays. • Investigate discrepancies end to end. Trace unexpected numbers through the pipeline to the source and fix root causes rather than symptoms. • Onboard new exchanges, venues, products, and internal data sources, addressing real-world external-feed behaviour including authentication, rate limits, disconnects, missing history, and schema changes. • Support data users through query support, data access, APIs, and client libraries. • Operate what you build, including monitoring, alerting, and incident response for owned pipelines and datasets. • Contribute to the migration toward ClickHouse, Iceberg, Kafka, and Kubernetes by running new and legacy paths in parallel, reconciling results, and cutting over safely. • Use AI coding assistants and LLM tooling to improve development, debugging, and data investigation, while applying sound judgement and independently validating outputs. • Depending on team needs and your strengths, develop deeper expertise in either real-time platform and pipeline engineering or proprietary trading-data datasets and analysis. Both are core to the team. What We Look For In You • Bachelor’s degree or above in Computer Science, Engineering, or a related quantitative field. • 3–5 years of hands-on experience in data engineering, software engineering, or analytics engineering. • Strong production-quality programming skills in Java, Python, or both. • Sound data-modelling judgement. You can design schemas that scale with evolving data and use cases, including keys, granularity, partitioning, and schema evolution. • Ability to reason about query behaviour and performance over large datasets. • Demonstrated production ownership. You have designed, delivered, and operated a pipeline, service, or dataset that other teams depend on, including its reliability, monitoring, and failure modes. • Rigour in data correctness. You validate outputs before they reach users, cross-check against independent sources where possible, and treat silent data errors as serious defects. • Structured problem-solving under uncertainty. You can decompose ambiguous data discrepancies, form and test hypotheses, and reach defensible conclusions while clearly stating assumptions and outstanding verification needs. • Strong initiative and persistence. You identify gaps, act without waiting for direction, work through difficult problems, and get up to speed quickly on unfamiliar systems and domains. • Strong communication skills in both Chinese and English. Nice to Have • Experience in crypto, market data, trading systems, or trading operations. • Strong Java systems-engineering capability, including JVM and concurrency fundamentals, profiling, performance tuning, and reliable high-throughput services. • Strong Python data-engineering capability, including pandas, Polars, PyArrow, or Spark; experience with vectorisation, memory behaviour, and processing datasets larger than memory. • Experience delivering tested, packaged Python tooling that other teams depend on. • Depth in trading-data analysis, such as reconstructing positions from fills, balances from transfers, or PnL across settlement or expiry boundaries. • Experience reconciling derived trading data against authoritative sources and resolving discrepancies between systems. • Experience with real-time streaming pipelines, ideally Kafka, including ordering, gap detection, checkpoints, restart recovery, and replay. • Hands-on experience with time-series or analytical databases, including partitioning, retention, and query-performance tuning at scale. • Exposure to Apache Iceberg, Parquet, Spark, gRPC, Kubernetes, or cloud data infrastructure. • Experience building connectors to external REST or WebSocket APIs. Working Model • Hong Kong, onsite (in-office). Perks & Benefits • Competitive total compensation package. • Learning and development programs and education subsidy for employees’ growth and development. • Various team-building programs and company events. • Wellness and meal allowances. • Comprehensive healthcare schemes for employees and dependents. • More that we would love to tell you about during the process. Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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: Baden-Baden, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Darmstadt, Germany; Dusseldorf, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leverkusen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Paderborn, Germany; Stuttgart, Germany; Ulm, Germany; Viechtach, Germany; Vienna, Austria; Wien, Austria; Wiesbaden, Germany; Wuppertal, Germany Workplace: hybrid At TechBiz Global , we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a Senior Sales Executive to join one of our clients ' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. You drive revenue growth in the German OTT market by actively developing new business , building strategic partnerships , and maintaining strong customer relationships. You will develop and implement a clear go-to-market strategy for streaming platforms and OTT technologies – from lead generation to successful closing. You identify, contact and manage key decision-makers at telecommunications companies, ISPs, broadcasters, platform operators and energy suppliers. You use your existing network of relevant market players in the media and telco environment to unlock new business opportunities and efficiently manage complex sales cycles. You will work closely with product, technology and management teams to develop tailored solutions and optimally address technical, regulatory and commercial requirements. You observe market and competitive developments, recognize trends early on, and derive concrete opportunities for further growth from them. You provide valuable recommendations on how we can increase our competitiveness and optimize our product offerings. You will represent our company at industry trade fairs, conferences and other relevant events. Your skills and experience that impress us: You bring in-depth industry expertise in the OTT environment and are familiar with OTT delivery solutions such as CMP, CDN and DRM not only from presentations, but from real customer projects. You are familiar with the formal procurement and tendering processes of large telecommunications companies and public broadcasting corporations – and know how to navigate complex RfPs strategically and successfully. You have a robust network of technical and commercial decision -makers at media and telecommunications companies in Germany (Deutsche Telekom/MagentaTV, Sky, 1&1, ARD/ZDF) as well as regional network operators – and you actively use these relationships for business development. You communicate fluently in German at a native speaker level and possess professional English skills to confidently navigate international teams and projects. You bring solid experience with B2B business models (platform licensing, white-label apps, bundle integration) and references from your completed sales successes in the media and TELCO environment. More than 10 years of sales and industry experience in the field of streaming platforms, video transmission or pay-TV solutions round off your profile.

Location: United Arab Emirates; India; Pakistan; Philippines; Mexico; Colombia About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a detail-oriented Junior US Tax Accountant with 3+ years of experience in US taxation to join a dynamic remote finance team. This role is ideal for candidates with strong knowledge of US tax laws, tax preparation, and compliance processes who are looking to grow their careers in a high-performance, client-facing environment. Key Responsibilities Prepare and review US federal and state tax returns (individuals, partnerships, and corporations). Ensure compliance with IRS regulations and US tax laws. Assist in tax planning and advisory services for clients. Conduct research on tax issues and provide recommendations. Maintain accurate financial records and supporting documentation. Collaborate with internal teams to meet filing deadlines and client requirements. Utilize accounting software and tax preparation tools (e.g., QuickBooks, Drake, ProSeries, or similar). Communicate with clients to gather required financial data and resolve discrepancies. Requirements 3+ years of experience in US tax accounting or public accounting firms. Strong knowledge of US tax law, IRS regulations, and compliance standards. Experience preparing Form 1040, 1065, and 1120/1120S. Proficiency in accounting software (QuickBooks, Xero) and tax tools. Excellent attention to detail and analytical skills. Strong written and verbal English communication skills. Ability to work independently in a remote accounting job environment. Bachelor’s degree in Accounting, Finance, or a related field. CPA or progress toward CPA (preferred but not required). Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: UK Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. WHO WE'RE LOOKING FOR A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. EXPERIENCE WE FIND USEFUL You don't need all of this. But you need enough to make a case. - Foundation models: training, new architectures, RL, reward modeling, scaling - Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis - Frontier topics: multimodal models, agents, tool use, test-time compute, world models - Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI - PhD in ML/NLP — or equivalent practical experience you can point to - Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions - Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result If you learned through building, competitions, or collaborations outside academia — that counts. We care about evidence, not credentials. WHO THRIVES HERE - Pathfinders: You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - Full-Cycle Researchers: You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output. - First-Principles Engineers: You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core problem. - Mission Owners: You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. WHAT WORKING HERE IS LIKE We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet" — and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. We don't need a cover letter. A link to something you've built tells us more. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Serbia Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. WHO WE'RE LOOKING FOR A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. EXPERIENCE WE FIND USEFUL You don't need all of this. But you need enough to make a case. - Foundation models: training, new architectures, RL, reward modeling, scaling - Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis - Frontier topics: multimodal models, agents, tool use, test-time compute, world models - Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI - PhD in ML/NLP — or equivalent practical experience you can point to - Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions - Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result If you learned through building, competitions, or collaborations outside academia — that counts. We care about evidence, not credentials. WHO THRIVES HERE - Pathfinders: You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - Full-Cycle Researchers: You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output. - First-Principles Engineers: You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core problem. - Mission Owners: You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. WHAT WORKING HERE IS LIKE We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet" — and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. We don't need a cover letter. A link to something you've built tells us more. Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Germany Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Foundation models: training, new architectures, RL, reward modeling, scaling - Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis - Frontier topics: multimodal models, agents, tool use, test-time compute, world models - Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI - PhD in ML/NLP — or equivalent practical experience you can point to - Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions - Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result If you learned through building, competitions, or collaborations outside academia — that counts. We care about evidence, not credentials. Who Thrives Here - Pathfinders: You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - Full-Cycle Researchers: You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output. - First-Principles Engineers: You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core problem. - Mission Owners: You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet" — and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. We don't need a cover letter. A link to something you've built tells us more. Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Our Ubuntu Engineering teams build the operating system platform used by millions of developers, enterprises, device makers, cloud providers, and open source communities worldwide. Location: We have remote roles open in every time zone. About the team The Ubuntu Foundations Package Management team , as part of the broader Ubuntu Foundations organisation, develops and maintains the software management infrastructure that underpins every Ubuntu system. The team owns technologies at the heart of Ubuntu's software, driver, firmware, and upgrade experience, including APT, dpkg, firmware management, and driver management. Its mission is to provide the technologies that enable Ubuntu systems to be installed, maintained, updated, upgraded, and managed throughout their lifecycle. The team balances innovation with the stability and reliability expected from one of the world's most widely used Linux distributions. The team works across the full engineering lifecycle, from roadmap definition and architecture through implementation, testing, release engineering, and upstream collaboration, ensuring the continued evolution of the technologies that manage software, drivers, firmware, and upgrades across Ubuntu systems. The Role We are looking for a Software Engineering Manager to lead the Ubuntu Foundations Package Management team . This is a technical leadership role combining people management with active engineering involvement. You will lead a team of experienced engineers responsible for the package management and system lifecycle technologies that underpin Ubuntu. Working closely with stakeholders across Ubuntu Engineering, you will define technical direction, grow engineering talent, build strong cross-team partnerships, and ensure the continued evolution of Ubuntu's software, driver, firmware, and upgrade experience. You will report to the Ubuntu Foundations Engineering director  and collaborate closely with other Ubuntu Engineering teams, including Desktop, Server, Security, Release Engineering, Launchpad, Debcrafters, OEM, and Product. What You’ll Do Technical Leadership Define the technical vision and roadmap for Ubuntu's package management and system lifecycle platform Participate in design reviews and key technical decisions affecting software management and system lifecycle technologies across the Ubuntu ecosystem Promote high standards for performance, reliability, security, and maintainability Team Leadership Lead and support a team of engineers responsible for key Ubuntu platform technologies. Mentor and grow engineers, helping them expand their technical leadership, ownership, and organizational impact Foster a culture of ownership, collaboration, and continuous improvement Delivery and Engineering Excellence Plan and deliver improvements across multiple Ubuntu release cycles Balance innovation with stability, compatibility, and long-term maintainability Improve test automation, release quality, and operational reliability Collaboration and Community Build strong partnerships across Ubuntu Engineering, including Release Engineering, Launchpad, Desktop, Server, Security, OEM, and Product teams Collaborate with Debian, upstream projects, and the Ubuntu open source community What We Are Looking For Required An exceptional academic track record from both high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Strong background in software engineering and system design Experience leading engineering teams, including people management, coaching, and performance development Experience developing or operating Linux distribution technologies, package management systems, or software distribution infrastructure Strong understanding of systems software and operating system architecture Excellent written and verbal communication skills Ability to work effectively in a globally distributed engineering team Ability to travel twice a year, for company events up to two weeks each Nice to Have Familiarity with package repositories, archives, or release engineering processes Experience contributing to Debian, Ubuntu, or other open source infrastructure projects Performance, reliability, or security engineering experience We know that strong candidates may not meet every qualification. If you are excited by this role and our mission, we encourage you to apply. What Success Looks Like First 3 Months Build strong relationships with the team and stakeholders across Ubuntu Engineering Gain a deep understanding of Ubuntu package management, update flows, archive interactions, and release processes Identify key improvement opportunities in reliability, test coverage, engineering processes, and product quality First 6 to 12 Months Establish strong partnerships with stakeholders across Ubuntu Engineering, including Release Engineering, Launchpad, Desktop, Server, Security, OEM, and Product Grow the team and raise the overall level of engineering excellence, ownership, and technical leadership Improve roadmap clarity, planning, and execution across the team's portfolio Deliver meaningful improvements to Ubuntu's package management and system lifecycle platform What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Toronto; London; New York; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT COHERE AND NORTH Cohere is revolutionizing enterprise AI with North, an agentic AI platform designed to securely deploy AI agents and automations within organizations' infrastructure. North empowers employees to streamline workflows, automate repetitive tasks, and unlock actionable insights while ensuring data privacy and compliance. North combines cutting-edge generative and search models with customizable integrations to drive productivity and innovation at scale. ROLE OVERVIEW We are seeking an Agent Harness Product Manager to own the execution layer that makes North agents reliable, capable, and production-ready. This is a role that sits at the intersection of three domains: Agent Loop and Execution. Own the core agent runtime: tool orchestration, parallel execution, sub-agent delegation, sandbox code execution, and failure recovery. You will define how North agents plan and act across long, multi-step workflows and ensure the execution environment is robust enough for the most demanding enterprise tasks. You are expected to engage at the implementation level, contributing to architecture decisions alongside engineering rather than simply handing off requirements. Context Engineering. Own how our Agents manage the context window as a deliberately controlled resource. This includes progressive disclosure of tools and skills, context compaction and summarization, offloading of large payloads to a persistent filesystem, and the instrumentation that keeps agents oriented across extended trajectories. Model-Scaffolding Co-evolution. Own the feedback loop between North's harness and the Modeling Team. This PM is the connective tissue that makes that possible: ensuring harness design decisions are validated by Modeling before they are built, that evals are the shared bridge between both teams, and that as the harness evolves the model evolves with it. RESPONSIBILITIES - Define and own the roadmap for North's agent harness, including the agent loop, context engineering layer, tool orchestration, sandbox execution, and sub-agent delegation - Serve as the primary interface between North engineering and Cohere's Modeling team, ensuring new harness capabilities are validated before being built and that neither team paints itself into a corner - Own North's agentic evaluation framework, ensuring evals are compatible with both the North harness and Modeling's training infrastructure, and that they serve as a reliable bridge between product and research - Engage enterprise customers to surface real-world agentic failures and translate findings into concrete product and model requirements - Partner with the agentic expert modeling team to define goals that maximize the impact of our models and prioritize model capabilities and evals most critical for delivering on those goals. Establish a clear roadmap for our agentic modeling capabilities. - Stay current with the open-source and commercial agent ecosystem and drive adoption decisions that keep North's architecture aligned with emerging standards. REQUIREMENTS - 5+ years of product management experience as a research PM, in agentic AI systems,, or applied ML products - Deep understanding of agentic harnesses, including the latest paid and open source offerings. - Deep understanding of modern LLM agent architectures, including multi-agent systems, tool-augmented reasoning, memory and retrieval, programmatic orchestration, RAG, and long-horizon execution - Strong grasp of agentic evaluation design, including how to measure task completion, failure recovery, and long-horizon reliability, and how to diagnose model vs. scaffolding gaps - Technically deep enough to contribute to architecture decisions at the implementation level: comfortable reviewing and shaping design docs, reasoning about async execution patterns, sandboxed environments, filesystem design, and the tradeoffs that come with building harness capabilities into a production platform - Ability to flex between ML research conversations and engineering architecture discussions with equal fluency - Track record of shipping platform-layer products with demonstrated impact on reliability, performance, or capability. NICE-TO-HAVES - Direct experience in developing and shipping leading agentic harnesses. - An active practitioner of agent frameworks who regularly builds with and follows the latest developments in open-source harnesses, coding agents, and orchestration tools in both professional and personal work - Hands-on experience with enterprise agentic deployments: multi-tenant orchestration, tool permissioning, audit trails, and compliance requirements - Familiarity with infrastructure constraints relevant to enterprise deployments: on-premises environments, scalability challenges, and the operational tradeoffs of running complex agent workloads in restricted or air-gapped settings - Prior work at the intersection of research and product, translating nascent model capabilities into shipped product features - Background working within or closely alongside an ML research or post-training team. WHY JOIN COHERE? - Impact: Shape how Canada's most important public institutions adopt and deploy frontier AI. - Innovation: Work alongside leading researchers and engineers solving complex ML challenges. - Growth: Competitive compensation, equity options, and opportunities for professional development. - Flexibility: Hybrid work model with offices in key global locations (Toronto, Montreal, New York, San Francisco, London, Paris, and Korea) FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Petten, Netherlands; Aachen, Germany; Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Budapest, Hungary; Miskolc, Hungary; Athens, Greece; Greifswald, Germany; Grenoble, France; Crete, Greece; Podgorica, Montenegro; Zagreb, Croatia; Aya Napa, Cyprus; Barcelona, Spain; Bolzano, Italy; Bordeaux, France; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bucuresti, Romania Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Principal Statistical Programming Consultant (EU) to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. In this role, you will work under the direction of the Team Lead or Project Manager and be responsible for delivering high-quality statistical programming outputs for clinical trials, including early-phase studies, publications, and regulatory submissions. Key Responsibilities Perform statistical programming activities for clinical trials, including early-phase projects, indications, and publications Lead at least one study team, providing technical and domain expertise Manage and mentor a small team of 2–4 programmers (if required) Develop and validate SAS analysis datasets, tables, listings, and figures (TLFs) based on specifications Create programs for graphs and tables used in: Clinical Study Reports (CSRs) Safety reports Efficacy reports Work on data migration from legacy datasets to standards such as CDISC or client-specific formats Read, interpret, and implement program specification documents Perform data validation and transformation according to client requirements Validate TLFs to ensure accuracy, quality, and compliance Collaborate with clients and global teams (e.g., US team) to resolve: Data issues Outliers Specification clarifications Timelines and deliverables Follow Standard Operating Procedures (SOPs) and Quality Management Systems Support hiring activities by: Identifying skill requirements Conducting technical interviews Education Bachelor’s or Master’s degree in: Computer Science Statistics Biostatistics Life Sciences or related field Experience Minimum 5+ years of SAS programming experience in clinical trials Mandatory experience in Oncology Therapeutic Area (TA) Experience working with clinical trial data and regulatory submissions Technical Skills Strong proficiency in SAS programming Hands-on experience with: CDISC standards (SDTM, ADaM) Data migration and transformation TLF generation (Tables, Listings, Figures) Understanding of: Drug development lifecycle Regulatory requirements (e.g., FDA, EMA) Soft Skills Ability to work independently and manage multiple priorities Strong analytical and problem-solving skills Excellent communication skills (written and verbal) Leadership and mentoring capabilities Nice to Have Experience leading small teams or study teams Exposure to global client environments Experience contributing to recruitment/interview processes What We Offer Opportunity to work on global clinical trials Collaborative and supportive team environment Career growth and leadership opportunities

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE This role sits at the frontier of our research agenda. You will pursue open problems at the intersection of post-training methodology and performant inference, and then collaborate with research engineering to translate findings into production systems. A meaningful portion of your time will be dedicated to research that deepens our understanding of how models learn, alignment, and architectural efficiency — questions that may not have immediate product application. The remainder will be directed toward research that solves concrete problems for Baseten's platform and customers, who are the fastest growing AI companies in the world like Cursor, Lovable, and Notion. We are looking for someone with sharp research taste and genuine creative instinct for problem selection. Someone who can identify questions that matter, design clean experiments to answer them, and push the state of the art. The environment here is not theoretical, but rather research that can be validated with eager customers who are serving billions of tokens a second. The Manifesto: https://labs.baseten.co/manifesto RECENT RESEARCH - Towards infinite context windows: neural KV cache compaction https://www.baseten.co/research/towards-infinite-context-windows-neural-kv-cache-compaction/ - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ RESPONSIBILITIES - Define and pursue a research agenda spanning both foundational and applied work, with the applied component connected to Baseten's platform and customer needs. - Design and execute rigorous experiments, frequently at meaningful scale (multi-node, trillion parameter models). - Work with customers to translate domain-specific requirements into research problems, where relevant to your agenda. - Publish at top venues (NeurIPS, ICML, ICLR) and establish Baseten's research presence. - Collaborate with model performance and training infrastructure teams to bridge research findings and inference production systems. - Mentor junior researchers and shape the technical direction of the research organization as it grows. PREFERRED QUALIFICATIONS - Master’s or PhD research depth in machine learning, with first-author publications at top venues - Demonstrated ability to move from theory through implementation to empirical results — not exclusively theoretical or exclusively engineering work - Judgment about problem selection, the ability to distinguish research that advances a metric from research that changes how systems are built - Willingness to operate in a startup environment where the majority of research informs product decisions, with timelines measured in months rather than years - Background spanning multiple research areas (e.g., both interpretability and RL, or both systems and training methodology) - Track record of open-source contributions or community building in ML research OUR VIEW ON TALENT Many of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things credentialed researchers have never had to see. If you don’t have the traditional qualifications and are doing exceptional work, we’d love to chat. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Dubai, UAE What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Regional Focus: Sub-Saharan Africa Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Fluency in English (written and spoken). French is a plus. Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Cincinnati, United States The Continuous Improvement Manufacturing Engineer is part of the company’s corporate Engineering team and will be based at one of the plant locations in Monroe, OH; Jackson, TN; Somerset, KY; or Valparaiso, IN. This position will lead the Continuous Improvement focus at the plant level while also supporting new product launch activities. The Continuous Improvement Manufacturing Engineer will serve as the primary resource for Continuous Improvement team training and assist the plants in sustaining gains achieved through CI efforts. This position will support kaizen events at the plants and will drive best practice standardization across all plant locations. This position will also support new product launch activities at the plants, with the goal of achieving all KPIs at the cost sheet level at the start of production. What you will do at the company: Serve as the Continuous Improvement subject matter expert for the company. Schedule and participate in kaizen events, including cycle time analysis, brainstorming, problem-solving, standard work, setup reduction, 5S, cell layout, visual management, and error-proofing activities in the plants. Coach, train, and mentor plant Continuous Improvement team members on TPS and CI principles. Support best practice implementation and standardization across all plants through consistent communication and visits to other plant locations. Assist production operations in driving manufacturing efficiency improvements across all plants using process improvement tactics, lean manufacturing, Six Sigma, and kaizen. Update and maintain all Continuous Improvement procedures and standards within the Docushare database. Assist with product launch activities at the plants to ensure processes are developed to meet all cost sheet KPIs, including labor content, cycle time/PPH, and scrap levels. Maintain systems used to supply trial production data for launch report card maintenance. Provide clear work instructions, training, and system designs to support the sustainability of improvements. Support Agile tasks related to product launch inputs such as environmental and safety analysis, process layout, trial reports, and PFMEAs. Provide feedback to corporate Project and Tooling Engineering Managers to ensure equipment and tooling standards are updated based on plant best practices. Promote and drive efficiency and safety at the plants. Perform other related duties as assigned. What you will bring to the company: Bachelor’s degree in Mechanical Engineering, Industrial Engineering, or an equivalent field from an accredited college or university, or an equivalent combination of education and experience. Strong TPS and CI skills, with the ability to coach, mentor, and train team members. 3 to 8 years of related experience and/or training in continuous improvement within a manufacturing environment. High level of technical aptitude with a strong understanding of systems, equipment, and processes. Hands-on experience and the ability to troubleshoot complex manufacturing equipment. Ability to effectively present information to top management, public groups, and boards of directors. Ability to apply advanced mathematical concepts and principles of logical or scientific thinking to a wide range of practical and technical problems. Proficiency in Microsoft Office applications, including Word, Excel, and Outlook, as well as Internet tools, AutoCAD, and design software. Required knowledge and understanding: TPS and Continuous Improvement principles Lean Manufacturing Proficiency in AutoCAD Travel Requirements: This position requires travel up to 50% of the time. Salary: $100,000 – $125,000 / year

Location: New Mexico Workplace: remote Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.   Join Our Digital Reporter Network Depositions by Filevine is building a network of dependable, detail-oriented commissioned notaries public to provide critical support during remote legal proceedings. Digital Reporters facilitate these sessions by managing Zoom calls, assisting participants with basic technical issues, and helping ensure transcripts are captured accurately. Being a Digital Reporter offers a flexible earning opportunity, giving you the chance to work remotely, and choose your own hours. This 1099 independent contractor role is ideal for those seeking to explore a dynamic and evolving legal industry.   Please note: this posting is for notaries residing in the specific state that is listed in the job title. If you are a notary and are interested in joining our network, please check here to find your state. If you do not see your state, we encourage you to check back regularly as we are always adding new states to our network. Responsibilities Facilitate Zoom sessions with professionalism and warmth, helping create a smooth and welcoming experience for all participants. Troubleshoot technical issues for attendees, such as muted audio or screen sharing. Safeguard transcript quality by ensuring optimal audio conditions for the Depositions by Filevine transcription software. Administer oaths, manage on/off-the-record moments, and handle procedural steps that support a seamless legal process. Conduct proceedings in accordance with established procedural scripts and legal prompts to maintain consistency and accuracy across sessions. Upon contractor’s request, Filevine will provide sample scripts at no additional cost. Uphold confidentiality and maintain a composed, professional presence throughout each proceeding. Qualifications Active Notary Public license in the state listed in the job posting. Strong internet connection and access to a quiet, professional workspace. Video-enabled computer with necessary software capabilities. Excellent communication and organizational skills. Ability to work during standard business hours (9:00 AM to 5:00 PM local time, Monday through Friday). Familiarity with Zoom or other video conferencing software. Bonus: Experience in the legal industry. Additional Qualifications Active Notary Public license in the state of New Mexico. Remote Online Notarization (RON) Certification from the New Mexico Secretary of State (required prior to start date). Must be physically located within the State of New Mexico while performing all remote notarial acts. This 1099 contract position is ideal for someone seeking flexibility while building a relationship with a reliable and growing company. Apply today to help shape the future of legal technology!   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.

Location: Worldwide Driving the next generation of wealth. Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors. But technology alone doesn’t drive progress. People do. We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics. What makes Nexo different? We shape industry trends. We rethink how wealth works and build solutions that reflect that belief. That requires a certain kind of person. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving. This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo. Official website: nexo.com Your role: Search Engine Optimisation. Performance Marketing / PPC. Affiliate Marketing. Design & Creative. Copywriting & Content Marketing. Social Media. What makes you stand out: Motivation to work for a disruptive FinTech project & willingness to improve & broaden your marketing knowledge. Experience in the position you're applying for. In-depth knowledge of various marketing metrics, best practices, digital analytics tools, strong analytical skills and data-driven thinking. Experience and interest in Blockchain / FinTech is a plus, but it is not mandatory. Up-to-date on the latest trends and technologies in digital marketing. Proven working experience in the digital marketing field. Nexo benefits: Competitive and rewarding remuneration package. Annual performance-based bonuses. Comprehensive Learning Hub for continuous growth. Hybrid work model: primarily office-based with scheduled home office flexibility. A dynamic and inspiring environment with cutting-edge projects. Career development opportunities in a global leader driving the next generation of wealth. Customizable personal benefits package. Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses. Free parking with a designated space, free electric bikes, and public transportation cards. Fresh fruits, snacks, and a well-stocked office kitchen. Regular department team buildings and company-wide team buildings.

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: 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.