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Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role Vercel is hiring a Strategic Cloud Partnerships Lead to own and grow our relationships with the cloud and infrastructure companies that underpin our platform and help us reach enterprise customers. This role sits at the intersection of infrastructure, product, and go-to-market. You will work with Vercel’s Product and Engineering teams to understand how we use our partners’ infrastructure today, identify where deeper technical collaboration could improve our platform or economics, and turn those opportunities into executable partnership strategies. At the same time, you will build joint go-to-market motions that create pipeline, accelerate enterprise deals, and make Vercel more strategic to our partners’ field organizations. This is a hybrid position, based in San Francisco, with in-office anchor days on Monday, Tuesday, and Friday. What you'll do Own a named set of strategic cloud partners end to end, with accountability for the health, growth, and business impact of each relationship Develop a clear strategy and joint business plan for each partner, covering technical priorities, commercial opportunities, go-to-market motions, investments, and measures of success Build a detailed understanding of how Vercel uses each partner’s infrastructure today and identify opportunities to improve performance, reliability, geographic reach, product capabilities, or unit economics Build the business case for new initiatives: size the opportunity, define the customer value, scope the technical investment, model the economics, and give leadership a clear recommendation Develop and execute joint go-to-market motions, including co-selling, account mapping, marketplace programs, solution development, field enablement, demand generation, and executive engagement Lead negotiations involving cloud consumption, commercial commitments, marketplace terms, co-sell investments, product integrations, and joint customer offerings Lead cross-functional teams across Product, Engineering, Infrastructure, Sales, Marketing, Finance, and Legal to move initiatives from concept through agreement, launch, and growth What you need 8+ years of experience in cloud partnerships, strategic alliances, business development, enterprise sales, or a related role at a cloud, infrastructure, developer tools, or platform company A track record of building and growing strategic relationships with major cloud or infrastructure providers Strong go-to-market experience, including developing joint value propositions, launching co-sell motions, creating pipeline, and helping close complex enterprise opportunities Strong technical fluency across modern cloud infrastructure and application delivery. You do not need to be an engineer, but you can understand architectures, ask incisive technical questions, and earn credibility with product and engineering teams Commercial judgment and experience negotiating complex agreements, including cloud commitments, marketplace terms, co-sell structures, or joint product initiatives Strong agency and comfort with ambiguity. You identify what matters most, decide where to invest, and can defend the choice Excellent written and verbal communication with executives, technical leaders, field teams, and customers Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA salary range for this role is $234,000-286,000 plus annual bonus. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Задачи: — Написание модуля ядра Linux для реализации функционала управления файлами/процессами. — Переписывание системных вызовов и API под Linux. — Устранение зависимостей от Windows-драйверов. — Минимизация накладных расходов драйвера. — Исправление багов, связанных с производительностью и безопасностью. — Работа с инструментами профилирования (perf, strace). — Настройка взаимодействия драйвера с клиентскими модулями. — Тестирование функционала вместе с Java и аналитиком. Требования: — Глубокие знания POSIX API и системных вызовов Linux. — Опыт работы с файловыми системами, файловыми дескрипторами, mmap, epoll/inotify. — Работа с процессами, потоками, IPC (Inter-Process Communication). — Опыт создания модулей ядра Linux (Kernel Modules) для управления файлами и процессами. — Знание структуры VFS (Virtual File System) в Linux. — Умение работать с системными хуками (например, ptrace, seccomp). — Навыки профилирования и оптимизации кода для минимизации накладных расходов. — Умение работать с GDB, perf, strace и системными логами. — Опыт работы с Makefile, CMake. — Знание Git и CI/CD систем. — Понимание безопасности: учет уязвимостей и защита данных на уровне драйверов. Условия: — Удаленный формат работы над интересным и сложным проектом.

Location: Remote, Germany, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for an Account Executive, Enterprise who will be responsible for generating new business pipeline and expansion and closing new customers in the Enterprise segment (Top Accounts in Germany). This includes identifying specific projects where Fivetran can add value. This is a full-time, remote position based out of Germany. What You'll do Generate new business qualified opportunities by working with Tech Partners, SI Partners, XDRs, going direct outbound on named accounts in territory Actively pitch the value proposition of Fivetran’s Database replication capabilities along with the Fivetran platform at-large Manage 90-180 day sales cycles with multiple stakeholders and departments to land in an enterprise organization Negotiate responsible deals and manage the procurement process with legal, deal desk, and deal champions Develop trusted relationships with internal stakeholders and senior decision makers at large organizations who will evangelize Fivetran throughout their company As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process. Skills We're Looking For A minimum of 8 years' experience in new business sales, demonstrating a track record of success in selling to enterprise-level organizations. Have the vision to succeed Plan the vision by a strategy through territory and account planning Drive pipeline generation with ecosystem Land customers as soon as possible Sell services to help offload onboarding Proficient in sales within the Data industry. Capable of effectively utilising both inside and outside sales approaches to secure deals. Demonstrated proficiency in generating new business-qualified opportunities across diverse channels. #LI-LA1 #LI-REMOTE Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: South Africa; Pakistan; Colombia; Mexico; India; Jamaica 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 hiring a remote Sales Development Representative (SDR) responsible for outbound prospecting, lead generation, and appointment setting within the staffing and recruitment industry. This role is ideal for someone with proven staffing SDR or BDR experience , strong cold calling skills, and the ability to confidently navigate conversations with decision-makers and gatekeepers. The SDR will be responsible for high-volume outreach, CRM management, and setting qualified meetings for the sales team while consistently hitting performance KPIs. Key Responsibilities Conduct 80–100 outbound calls daily to prospective clients Generate new opportunities through cold calling, email outreach, and LinkedIn prospecting Identify and qualify decision-makers within target companies Schedule 5–7 qualified appointments per week for the sales team Manage all prospect interactions within HubSpot CRM Execute email sequences and follow-up campaigns Use LinkedIn Sales Navigator and prospecting platforms (e.g., Apollo) to identify new leads Track outreach activity and maintain detailed CRM notes Navigate conversations with gatekeepers and confidently handle objections Collaborate with leadership to refine and optimize outbound sales processes Requirements Minimum 2+ years of SDR or BDR experience within the staffing industry (US-based market) Experience with direct placement staffing sales (not third-party recruiting) Proven track record of meeting or exceeding KPI targets Strong cold calling and appointment-setting experience Experience using HubSpot CRM Experience using LinkedIn Sales Navigator Experience using Apollo or a similar prospecting platform Strong English communication skills (verbal and written) Ability to confidently handle objections and navigate gatekeepers 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: 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, United States This job is posted on behalf of CLT Recruiters. We are currently seeking a Senior Project Accountant for a well-respected high-end residential construction company. In this role, you will take ownership of budget monitoring and billing cycles, ensuring all project financials remain compliant, accurate, and within contractual scope. Responsibilities: Financial Oversight & Controls: Execute monthly reconciliations between project and general ledgers Enforce precise cost coding to maintain strict alignment with project budgets and Work Breakdown Structures. Perform variance analysis on committed vs. actual costs, proactively identifying and resolving budget discrepancies. Direct the assembly of audit-ready draw packages, verifying the accuracy of subcontractor invoices, lien waivers, and supporting documentation. Strengthen internal controls by optimizing invoice workflows, maintaining segregation of duties, and setting high documentation standards. Create and maintain essential financial tools, such as change order logs and vendor tracking schedules. Work with various teams to document financial workflows and ensure consistent audit readiness. Process Review & Improvement: Identify and resolve gaps in financial and admin workflows to maximize efficiency. Support and implement process improvements such as the integration of software enhancements and better cross-functional team collaboration. Drive organizational excellence by establishing and enforcing rigorous standards for financial documentation and regulatory compliance. Collaboration & Problem Solving: Drive project success by collaborating closely with PMs and service teams to provide mission-critical support. Solve complex problems with a proactive mindset, staying ahead of potential issues with creative and composed decision-making. Promote consistent, open, and transparent communication across the entire organization. Compliance & Reporting: Maintain and monitor compliance for subcontractors (COIs, licenses, waivers) Monitor and support contract types, including cost-plus and lump-sum structures Qualifications: Bachelor's degree in Accounting, Finance, or related field 5+ years of construction accounting experience (residential/luxury projects preferred or commercial interiors) Proficient in budget tracking, job costing, general ledger maintenance, and financial reporting Skilled in Excel and experience with construction accounting software such as QuickBooks, Sage, Procore, etc. Organized, detail-oriented, and proactive

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is investing $50 billion in American computing infrastructure, including datacenters custom-built for our workloads, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair. This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical  hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities Build automation to support datacenter fleets at scale. Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. Work closely with our Networking team to ensure end-to-end connectivity across all sites. Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale. End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices. Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java). Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP). Ability to communicate clearly and build consensus with a wide range of stakeholders. Comfort navigating ambiguity and making progress on complex, cross-functional problems. Willingness to travel occasionally to datacenter sites across North America. Preferred qualifications 8+ years of experience in datacenter infrastructure management, or a closely related discipline. Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs, or AWS Trainium) and an understanding of their operational demands. Familiarity with modern provisioning and OS tooling such as LinuxBoot and NixOS Experience building or contributing to datacenter automation or fleet management platforms. Experience building and deploying server operating system distributions across large server fleets. Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider. Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area. 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. 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: Dublin, IE About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments.  We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. As a Staff Software Engineer on our Inference team , you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary. Strong candidates may also have experience with: High-performance, large-scale distributed systems Implementing and deploying machine learning systems at scale Load balancing, request routing, or traffic management systems LLM inference optimization, batching, and caching strategies Kubernetes and cloud infrastructure (AWS, GCP) Python or Rust You may be a good fit if you: Have significant software engineering experience, particularly with distributed systems Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Want to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Representative projects across the org: Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage Contributing to new inference features (e.g., structured sampling, prompt caching) Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €295.000 — €355.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bogotá, Colombia; Buenos Aires, Argentina; Montevideo, Uruguay; Bangalore, India; Islamabad, Pakistan; Hanoi, Vietnam; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Helsinki, Finland; Athens, Greece; Zagreb, Croatia; Tbilisi, Georgia; United Kindom, United Kingdom; Dublin, Ireland; Milano, Italy; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the role: You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products. About the job You'll work on the C++ layer that powers local AI, porting and enhancing inference engines like llama.cpp or similar, to run efficiently on edge devices. Your focus is on the runtime: making models load faster, run leaner, and perform well across different hardware. You'll ensure that the inference layer is stable, optimized, and ready for integration with the rest of the stack. This role is for engineers who want to work close to the metal, enabling private and fast on-device AI without relying on cloud infrastructure. Responsibilities Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments Integrate AI features into existing products, enriching them with the latest advancements in machine learning Strong programming skills in C++ Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures Experience with any GPU framework between Cuda, Vulkan, Metal, OpenCL Good understanding of deep learning concepts and model architectures Experience with transformers, LLMs, Diffusion models Demonstrated ability to rapidly assimilate new technologies and techniques A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D Bonus points if: You know how to train/fine-tune a LLM You have productionized models You have research experience in new model architectures You have experience with distributed systems Javascript experience Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Tallinn, Estonia Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a AI Automation Engineer to join our rapidly expanding team. Join a high-caliber team and contribute to its success with your passion, hard work and positive attitude. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! About the Role We’re looking for an experienced AI Automation Engineer to design, implement, and optimize AI-driven workflows across the organization. You’ll act as an internal consultant — understanding business challenges, proposing intelligent automation solutions, and deploying AI agents that improve efficiency, accuracy, and scalability. This role blends technical expertise in AI and automation with strategic thinking and business understanding. It requires a high degree of autonomy and initiative. You will be expected to work independently, proactively identify opportunities, and drive solutions end‑to‑end with minimal supervision while collaborating with stakeholders as needed. What does the role look like? Partner with business departments to identify process inefficiencies and automation opportunities. Design and prototype AI agentic workflows using modern frameworks and LLM-based tools. Develop, integrate, and deploy AI agents capable of handling varied business tasks (e.g., reporting, customer communication, data processing, or internal operations). Evaluate and benchmark AI models, frameworks, and tools to select optimal solutions. Establish best practices for prompt engineering, context management, and workflow orchestration. Work closely with engineering teams to ensure robust system integration, data privacy, and compliance. Create technical documentation, user training, and playbooks for deployed AI automations. Monitor system performance and continuously refine agent behaviors and models. What do you need to succeed in this role? Proven experience in building or integrating AI systems, intelligent agents, or automation frameworks. Experience with Forex / FinTech or other similar companies supporting Sales, Marketing and Finance teams with AI. Strong understanding of LLMs, vector databases, and agent architecture (e.g., LangChain, AutoGen, CrewAI, or custom agentic frameworks). Programming skills in Python and familiarity with REST APIs, webhooks, and automation tools. Ability to translate business needs into technical solutions and communicate them clearly. Familiarity with cloud environments (AWS, Azure) and enterprise integrations in general. Experience with RAG (Retrieval-Augmented Generation), chains, and memory management in AI systems. Excellent problem-solving, analytical, and stakeholder communication skills. Will be considered as a plus: Background in machine learning, NLP, or process automation. Experience with tools such as CLAW to support Data teams Experience deploying production-level agentic systems or AI copilots. Exposure to enterprise workflow automation tools (Jira, HubSpot, etc). Understanding of data governance, model evaluation, and prompt engineering patterns. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Stebby Sports Compensation or Confido Health Compensation. Multiple events to bond with the team and the group. Birthday and Loyalty benefits . Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a AI Automation Engineer to join our rapidly expanding team. Join a high-caliber team and contribute to its success with your passion, hard work and positive attitude. We’re looking for an experienced AI Automation Engineer to design, implement, and optimize AI-driven workflows across the organization. You’ll act as an internal consultant — understanding business challenges, proposing intelligent automation solutions, and deploying AI agents that improve efficiency, accuracy, and scalability. This role blends technical expertise in AI and automation with strategic thinking and business understanding. About Tic kmill . Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards .  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. Join the Tigers! What does the role look like? The AI Automation Engineer will have the chance to: Partner with business departments to identify process inefficiencies and automation opportunities. Design and prototype AI agentic workflows using modern frameworks and LLM-based tools. Develop, integrate, and deploy AI agents capable of handling varied business tasks (e.g., reporting, customer communication, data processing, or internal operations). Evaluate and benchmark AI models, frameworks, and tools to select optimal solutions. Establish best practices for prompt engineering, context management, and workflow orchestration. Work closely with engineering teams to ensure robust system integration, data privacy, and compliance. Create technical documentation, user training, and playbooks for deployed AI automation s . Monitor system performance and continuously refine agent behaviors and models. What do you need to succeed in this role? Proven experience in building or integrating AI systems, intelligent agents, or automation frameworks. Experience with Forex / FinTech or other similar companies supporting Sales, Marketing and Finance teams wi th AI . Strong understanding of LLMs, vector databases, and agent architecture (e.g., LangChain , AutoGen , CrewAI , or custom agentic frameworks). Programming skills in Python and familiarity with REST APIs, webhooks, and automation tools. Ability to translate business needs into technical solutions and communicate them clearly. Familiarity with cloud environments (AWS, Azure) and enterprise integration s in general . Experience with RAG (Retrieval-Augmented Generation), chains, and memory management in AI systems. Excellent problem-solving, analytical, and stakeholder communication skills. Will be considered as a plus: Background in machine learning , NLP, or process automation. Experience with tools such as CLAW to support Data teams Experience deploying production-level agentic systems or AI copilots. Exposure to enterprise workflow automation tools (Jira, HubSpot, etc ). Understanding of data governance, model evaluation, and prompt engineering patterns. By joining us, you can expect: Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “Employee Training & Development program”. Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits. Collaboration with SportBenefit. Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Argentina; Brazil; Mexico; Colombia; Costa Rica Overview We are seeking a Senior Mechanical Engineer to support the design and development of Battery Energy Storage Systems (BESS) . This role focuses on the mechanical design of equipment enclosures and integrated platforms that house batteries, inverters, transformers, and other power infrastructure. The ideal candidate has strong experience in mechanical product design using SolidWorks , with exposure to sheet metal, structural assemblies, and thermal management of electrical equipment . Key Responsibilities • Design mechanical enclosures and structural platforms for battery energy storage systems. • Develop equipment layouts and mechanical assemblies supporting service access, ventilation, and cable routing. • Create 3D models and detailed drawings in SolidWorks , including sheet metal and weldments. • Perform structural and thermal analysis to support battery cooling and system safety. • Coordinate closely with electrical and manufacturing teams to ensure proper equipment integration. • Support prototype builds, testing, and product development phases . Requirements • Bachelor’s degree in Mechanical Engineering . • 7+ years of experience in mechanical design for industrial equipment or energy systems. • Strong experience with SolidWorks (sheet metal, weldments, large assemblies) . • Experience with structural design and thermal management for electrical or power equipment. • Familiarity with engineering documentation, BOMs, and manufacturing processes . • Strong English communication skills . Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: United Kingdom 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’re looking for two experienced Sales Development Representatives (SDRs) with a technical IT software background to join a mature sales organisation. You’ll be responsible for identifying, engaging, and qualifying potential enterprise clients, understanding their pain points, and confidently presenting solutions that resonate with IT decision-makers. Key Responsibilities Conduct outbound prospecting and qualification calls with IT leaders across the UK and Europe. Understand technical pain points and align product offerings to business needs. Manage the full early-stage sales process using SalesLoft and Salesforce . Nurture and maintain high-quality relationships with prospects through organized follow-ups. Support account management efforts by ensuring seamless communication between sales and client success teams. Consistently meet and exceed KPIs around outreach volume, meeting bookings, and conversion rates. Requirements 2+ years of recent SDR experience in a B2B Tech, IT industry. Strong understanding of technical software solutions and ability to discuss IT pain points confidently. Excellent written and verbal communication skills with the ability to influence decision-makers. Experience using Salesforce and SalesLoft (or similar CRM and engagement tools). Exceptional organisation, multitasking, and time management skills. Positive, ambitious, and “can-do” attitude with a drive to exceed goals. 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: United States; Canada; United Kingdom About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth. Role Type: Full-time Engagement: Independent Contractor Job Summary Our client is a fast-growing AI-first B2B growth agency that helps high-growth tech companies scale revenue through AI-powered Revenue Operations, automated outbound systems, and growth infrastructure. They work with venture-backed startups and scaling B2B SaaS companies, implementing end-to-end GTM systems, sales automation, and data-driven outbound strategies. Since launching, the company has grown from $0 to $2M ARR in under a year while working with some of the fastest-growing startups backed by leading venture capital firms and accelerators. We are looking for a GTM Engineer to help design and implement scalable Revenue Operations systems, outbound infrastructure, and automation workflows for high-growth B2B SaaS companies. In this role, you will work at the intersection of RevOps, outbound growth, data infrastructure, and AI-powered automation. You will collaborate with founders, sales leaders, and RevOps teams to design and execute modern go-to-market strategies. Key Responsibilities GTM Strategy & Play Design Recommend and implement outbound GTM plays tailored to each client’s ICP and growth stage Advise clients on sales tech stack selection and automation tools Build lead allocation systems to distribute prospects across sales teams efficiently TAM Mapping & Data Infrastructure Build ICP models using firmographic, technographic, and behavioral signals Map Total Addressable Markets (TAM) and prioritize high-value accounts Implement signal tracking systems using first-party and third-party data sources Identify decision-makers and buying committee members within target accounts Clay & Data Enrichment Build advanced Clay workflows for data enrichment and account research Implement AI-driven enrichment pipelines to automate manual research Create automation workflows using tools such as Clay, APIs, and workflow automation platforms Develop account scoring systems to prioritize high-intent prospects Outbound Campaign Development Build personalized multi-channel outbound campaigns across email and LinkedIn Create scalable outbound sequences while maintaining personalization Analyze campaign performance and iterate based on results and client feedback Client Communication & Collaboration Participate in weekly client calls to discuss strategy and performance Collaborate internally using Notion, Slack, and documentation tools Contribute to internal GTM playbooks and process documentation Deliver performance reports and growth recommendations Requirements Must Have 2 - 4+ years of experience in Sales, RevOps, Sales Operations, BizOps, or GTM Engineering Experience working in B2B SaaS, startups, or agencies Strong working knowledge of Clay Curiosity about AI tools, automation, and growth experimentation Strong problem-solving mindset and ability to learn quickly Fluent English communication skills Nice to Have Experience with HubSpot or Salesforce CRM systems Experience with workflow automation tools such as n8n Experience working with sales automation or outbound tooling 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: South Africa; Egypt; Ethiopia; Pakistan 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’re looking for a highly organized, analytical, and proactive Founder’s Associate to work directly with the CEO and help drive execution across multiple companies. In this role, you will act as a strategic operator and execution partner , translating high-level ideas into structured plans, systems, and results. You’ll manage cross-company projects, implement operational processes, build internal dashboards and documentation, and help remove operational bottlenecks so the founder and teams can focus on growth. Key Responsibilities Strategic Project Execution Drive execution of high-priority initiatives across real estate, hospitality, and SaaS ventures. Translate high-level strategic ideas from the founder into clear plans, timelines, and deliverables . Own projects end-to-end, ensuring successful implementation and measurable outcomes. Help accelerate execution velocity across multiple business initiatives. Operations & Systems Development Design and implement scalable operational systems, SOPs, and playbooks . Build and maintain a centralized operations hub and knowledge base . Identify inefficiencies and improve workflows through automation and process optimization . Implement systems that allow the companies to scale efficiently. Cross-Functional Coordination Coordinate projects between internal teams, contractors, vendors, developers, and partners . Ensure initiatives remain aligned across different business units. Track project timelines, progress, and deliverables to maintain execution momentum. Data, Reporting & Insights Build dashboards and reporting systems to track business performance and operational metrics . Organize operational data across ventures and surface actionable insights. Support strategic decision-making through research, analytics, and reporting . Growth & Opportunity Development Conduct market research and competitive analysis across real estate, hospitality, and SaaS sectors . Identify potential growth opportunities, partnerships, and new product initiatives . Assist with launching and scaling new ventures and initiatives. Founder Support Act as a trusted operational partner to the CEO . Manage priorities, coordinate projects, and ensure consistent follow-through. Take ownership of complex tasks requiring judgment, initiative, and problem-solving . Increase founder leverage by removing operational bottlenecks. Requirements Core Qualifications Strong analytical thinking and structured problem-solving skills. Exceptional organization and project management abilities. Excellent written and verbal communication skills. Ability to work in fast-paced startup environments with shifting priorities. Self-starter mindset with a proactive approach to solving problems. Ability to manage multiple initiatives simultaneously . Professional Experience Background in consulting, startup operations, strategy, or venture-backed companies is highly preferred. Experience building SOPs, operational systems, or documentation frameworks . Strong understanding of business operations, project management, and scaling processes . Tools & Technology Experience using AI tools for productivity and automation . Familiarity with: CRM platforms (e.g., HubSpot, GoHighLevel) Google Workspace Notion or documentation systems Slack Automation tools such as Zapier or n8n Preferred Experience Experience in real estate, hospitality, or short-term rental operations . Familiarity with STR tools such as Guesty, Conduit, Breezeway, or SuiteOp . Bilingual English / Spanish is a plus. Experience working with high-growth startups or founder-led companie 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: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai , the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission. We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business. What you’ll do Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own. Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t. Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change. Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them. Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers. Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale. Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages. Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle. You may be a good fit if you Have 8+ years building backend or platform systems in production, 3+ years leading large scale, complex projects or teams as an engineer or tech lead Have a track record of shipping in fast-moving environments where the requirements shift under you and you still land something correct and maintainable. Care about correctness and data integrity as first-class design concerns, not afterthoughts — and know how to build systems that are easy to reason about when money is on the line. Enjoy cross-functional work. Billing sits between Product, Finance, Sales, and Legal, and a lot of the job is translating between those worlds. Strong candidates may also have Built billing, payments, subscription, or fintech systems before — and know firsthand how a small pricing change ripples through the whole stack. Direct experience integrating or extending third-party billing and payment platforms, and opinions on where they fall short. Worked on revenue reconciliation, financial reporting pipelines, or systems that had to survive an audit. Experience with enterprise commerce — CPQ, quote-to-cash, contract management, or the operational side of B2B billing. Owned payments optimization in a self-serve or PLG environment — authorization rates, payment cost, fraud, chargebacks — and know what it takes to move those numbers without breaking the good customers. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Philippines Workplace: remote Contract Type: Freelance Language: English (Philippines)   About the Role  We are seeking a detail-oriented AI Data Quality & Annotation Specialist to help develop and evaluate large language models (LLMs). Your role will involve reviewing English language content to assess sentiment accuracy, factual consistency, and reasoning quality using structured guidelines. This position is ideal for individuals with sharp analytical skills, attention to detail, and the ability to consistently apply labeling standards.    What You Will Do:  - Review and label content for sentiment, factual accuracy, and reasoning issues.  - Evaluate model outputs across quality dimensions using scoring frameworks.  - Validate automated assessments and identify discrepancies or errors. Requirements: Advanced English proficiency (reading and writing) with professional-level fluency. Strong comprehension and articulation skills, with the ability to provide clear and well-reasoned written justifications. Previous experience in data annotation, AI training, or related projects. Preferred experience in analytical fields such as linguistics, journalism, research, or similar domains. Exceptional attention to detail and accuracy. Proven analytical reasoning and critical thinking abilities. Consistency in decision-making across high volumes of tasks. Familiarity with AI systems, large language models (LLMs), or evaluation processes (preferred but not required).

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