Вакансии

Location: New York, New York, United States About the Role iCapital is seeking a Technology Program Manager to partner closely with Engineering and Technology leadership teams to deliver complex, high-impact initiatives across the firm’s most critical technology priorities. This role sits at the intersection of strategy and execution, bringing best-in-class program management practices to large-scale, cross-functional initiatives. The team operates in an internal consulting capacity, driving clarity, alignment, and disciplined execution across multi-team programs. This individual will engage across a diverse portfolio including greenfield software development, enterprise vendor implementations, cloud and infrastructure initiatives, data and analytics and machine learning efforts, and broader technology innovation programs. As iCapital continues to scale, the company is increasingly leveraging AI-enabled tools and automation to enhance engineering productivity and program transparency. This role requires comfort operating in an AI-augmented environment, identifying opportunities to use emerging technologies to improve planning, reporting, decision-making, and cross-team coordination. This is a leadership and execution role focused on orchestration, visibility, and delivery excellence; it does not involve hands-on coding or testing. Responsibilities Lead end-to-end delivery of complex, cross-functional technology programs spanning multiple engineering teams. Partner with the Engineering teams to define scope, roadmap, milestones, and measurable outcomes. Establish clear governance, reporting, and risk management practices to ensure transparency and accountability. Communicate program status, risks, dependencies, and mitigation strategies to senior stakeholders. Collaborate with Technology leadership to shape forward-looking strategy and execution frameworks. Drive continuous improvement initiatives to enhance delivery effectiveness across the broader Technology teams. Bring structure and clarity to ambiguous or evolving initiatives. Qualifications 5-10 years of relevant experience Bachelor’s degree in engineering, computer science, business administration, or related field preferred Experience in at least two of the following: technical program management, financial services industry, or technology or financial services consulting Strong understanding of software development lifecycle (SDLC) methodologies Familiar with relational database concepts and data modeling Exposure to cloud technologies (i.e. AWS) Experience with project management tools such as JIRA, Monday.com, or similar platforms Able to influence stakeholders and build consensus across diverse viewpoints Strategic thinker who can connect big-picture objectives to detailed execution plans Comfortable navigating complexity and ambiguity Exceptional verbal and written communication skills and organizational skills with attention to detail Strong interpersonal skills with a collaborative, team-oriented mindset Able to operate effectively both independently and within cross-functional teams PMP certification is a plus Benefits The base salary range for this role is $100,000 to $120,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Budapest WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: WorldQuant is seeking an exceptional individual to be a key contributor to the maturation phase of several essential software systems currently in firmwide use.  These systems are an important part of the research and production trading pipelines. Your mission will be to relentlessly improve their performance, scalability, reliability and survivability while continuing to develop features. Key technologies for the products include: Java (and to a lesser extent Python) Distributed systems Kafka PostgreSQL BigQuery What You’ll Bring: Computer Science degree (advanced degree or equivalent experience preferred- particularly with storage technologies or distributed systems) Extensive experience as a key contributor in the development of complex software systems (leading financial services firm experience preferred- particularly involved in high performance systems) Deep expertise in distributed systems, with hands-on experience building scalable, resilient, mission-critical services Strong experience with data-intensive architectures using technologies such as Kafka, PostgreSQL and/or BigQuery, with a track record of performance optimization and reliability in production What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Mexico; Argentina; Colombia; Costa Rica; Brazil We are looking for a Senior Electrical Engineer to lead the design of electrical systems for modular generator power platforms used in data centers, industrial infrastructure, and utility backup power applications. In this role, you will design power distribution architecture, generator control systems, and paralleling switchgear that enable reliable standby and prime power generation. You will collaborate with mechanical engineering, manufacturing, and integration teams to deliver production-ready generator modules. This position is ideal for engineers experienced in power systems, generator integration, and industrial electrical design . Requirements Design electrical systems for modular generator power platforms Develop single line diagrams, wiring schematics, and electrical layouts Integrate generators with switchgear, transfer switches, protection systems, and distribution equipment Design and support generator synchronization and load sharing systems Develop monitoring and control systems for generator operation Define grounding strategies and protection coordination for generator power systems Coordinate electrical design with mechanical packaging and modular enclosure systems Support commissioning, testing, and system validation of generator power systems Produce production-ready electrical documentation supporting manufacturing and deployment Required Qualifications Bachelor’s degree in Electrical Engineering 8+ years of experience in electrical power systems or generator electrical design Strong experience with electrical distribution systems and protection devices Experience developing electrical schematics, wiring diagrams, and control systems Experience working with industrial power equipment or generator systems Preferred Qualifications Experience with standby power systems or data center backup power Experience integrating generator controls and paralleling switchgear Experience with microgrid or hybrid power systems Experience supporting commissioning and testing of generator power systems Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

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: 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: 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: 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: South Africa; Poland; Portugal; Romania; Mexico; Nigeria About Huzzle At Huzzle, we connect exceptional talent with leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from high-growth startups to established digital brands across SaaS, eCommerce, MarTech, FinTech, and online services. Unlike traditional outsourcing agencies, we place you directly with a client where you are hired in-house as a valued team member. Role Type: Full-time Engagement: Independent Contractor Job Summary We’re hiring a Creative Strategist to build and operate a systematic, data-driven creative engine that improves ad performance across multiple home improvement client accounts. This role sits between performance data and creative production . You will diagnose why ads succeed or fail, design structured creative testing frameworks, and translate insights into detailed briefs for production teams. You will not manage ads, edit videos, or run client calls . Instead, your focus will be building a repeatable creative system that continuously improves CPL, creative performance, and account stability . This is an ideal opportunity for someone with strong paid social creative strategy experience who enjoys combining analytics, consumer psychology, and structured experimentation to drive measurable results. Key Responsibilities Analyse performance across multiple paid social campaigns for home improvement clients. Diagnose creative performance issues using data points such as hook rate, CTR, thumb stop rate, watch time, frequency, and CPL trends . Identify the psychological drivers behind winning creatives including transformation, safety, status, and esteem. Design structured creative testing frameworks including hook testing, angle testing, and CTA testing. Develop new creative angles and messaging based on market sophistication and audience awareness stages. Write detailed creative briefs for videographers and editors , ensuring production teams execute with clarity. Analyse test results and iterate creative direction based on performance evidence. Identify patterns and winning strategies across multiple client accounts and industries. Document insights and maintain a shared creative knowledge system . Collaborate closely with media buyers and production teams to improve overall account performance. Requirements Must haves Proven experience improving paid social performance through creative strategy , not just media buying or copywriting. Strong ability to analyse Meta Ads performance at the creative level (CTR, hook rate, watch time, frequency, CPL trends). Experience building structured creative testing frameworks rather than relying on ad-hoc idea generation. Ability to clearly diagnose why ads succeed or fail using data insights . Experience writing detailed creative briefs for video production teams . Strong understanding of consumer psychology and emotional buying drivers . Ability to identify patterns across multiple accounts and industries , not just single campaigns. Clear, structured communication skills with the ability to translate insights into actionable creative direction. Strong ownership mentality with accountability for performance outcomes. Nice to Have Experience working in a performance-focused paid social agency environment . Background in high-ticket or local service industries (home improvement, solar, roofing, property, kitchens, etc.). Experience analysing creative metrics like Hook Rate, Thumb Stop Rate, Watch Time, CTR, and Frequency . Experience managing high-volume creative testing environments with frequent launches. Understanding of market sophistication and awareness stages . Experience identifying and developing unique mechanisms or differentiated offers . Familiarity with first-party data environments and creative-led targeting strategies . Experience documenting insights and building internal knowledge systems using tools like Notion . Comfort using AI tools such as ChatGPT or Claude to accelerate research and ideation. Benefits Fully Remote: Work from anywhere with international teams Peer Community: Connect with high-performing 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: Mexico; Colombia; Argentina; Chile; Brazil We are looking for a Senior Electrical Engineer with strong experience in mission-critical power systems to support the design and development of advanced infrastructure projects, including data centers, generator plants, and battery energy storage systems (BESS) . This role involves working closely with U.S.-based engineering teams on the design and integration of complex electrical systems that ensure high reliability, redundancy, and energy efficiency . Key Responsibilities Design and support electrical power systems for data center infrastructure , including medium-voltage distribution, switchgear, transformers, and UPS systems. Support the integration of large generator plants used for backup power in mission-critical environments. Contribute to the design and implementation of Battery Energy Storage Systems (BESS) , including battery systems, inverters, and energy management systems. Coordinate electrical system layouts and equipment integration with multidisciplinary engineering teams. Review electrical drawings, specifications, and technical documentation to ensure compliance with project requirements and industry standards. Participate in technical discussions, design reviews, and coordination meetings with U.S.-based teams. Requirements Electrical Engineering degree 8+ years of professional experience Proven experience working on data center electrical infrastructure Experience with backup power systems and generator integration Exposure to Battery Energy Storage Systems (BESS) or large-scale energy storage projects Strong knowledge of medium-voltage electrical systems, switchgear, transformers, and protection systems Previous experience working on U.S.-based engineering projects is highly valued Fluent English communication skills Nice to Have Experience working with hyperscale data center projects Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Mexico City, Mexico; Colombia; Argentina; Costa Rica; Peru We are seeking a Mechanical Engineer with strong experience in piping and cooling systems to support the design and development of modular data center infrastructure . This role focuses on engineering water-based cooling systems and piping networks that support mission-critical data center environments. The ideal candidate may come from a Mechanical Engineering, Piping Engineering, or Process Engineering background , with solid experience designing fluid systems, cooling loops, and piping layouts for industrial or data center projects. Key Responsibilities Design and develop piping systems for water-based cooling solutions in modular data centers Support the engineering of water tank cooling systems and cooling distribution networks Prepare piping layouts, system diagrams, and technical documentation Collaborate with multidisciplinary teams to integrate mechanical systems into modular data center units Ensure systems meet performance, reliability, and operational requirements for mission-critical facilities Requirements Degree in Mechanical Engineering or related field Strong experience with piping and cooling systems design Experience in data centers or industrial cooling systems Previous experience working with the U.S. market is valued Fluency in English is mandatory Ability to present a portfolio including data center projects Strong communication skills and ability to collaborate with international teams Nice to Have Experience with modular data centers or prefabricated infrastructure systems Experience designing water tank cooling systems or chilled water systems Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Argentina; Mexico; Panama; Colombia; Costa Rica; Bolivia, Plurinational State of 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 Key Responsibilities Client Consultation & Strategic Advisory Act as a trusted, consultative partner to multiple automotive and collision repair clients simultaneously. Guide executive teams through strategic growth challenges and business expansion opportunities. Deliver structured advisory sessions focused on revenue optimisation and market positioning. Go-to-Market (GTM) Strategy Development Develop, pitch, and oversee implementation of comprehensive GTM strategies. Design revenue acceleration frameworks tailored to dealership groups and collision repair businesses. Identify new market penetration opportunities and competitive positioning strategies. Growth Roadmapping & Data Analysis Analyse market trends, competitive landscapes, and performance data. Build actionable, data-driven growth roadmaps aligned with client revenue targets. Translate insights into clear execution plans across marketing, operations, and sales functions. Project Management & Delivery Manage end-to-end client engagements, ensuring deliverables are high quality, on time, and within scope. Coordinate with internal marketing, sales, and operations teams to execute strategy. Maintain structured documentation, timelines, and milestone tracking. Performance Tracking & KPI Optimisation Establish key performance indicators (KPIs) aligned with revenue growth goals. Monitor, measure, and report on performance impact. Continuously refine strategies based on data insights and client feedback. Industry Expertise Leadership Serve as the internal subject matter expert for automotive, dealership, and collision repair markets. Stay ahead of industry trends, technology shifts, and competitive movements. Provide thought leadership to strengthen the agency’s positioning in the automotive space. Requirements Proven experience in a consulting role (management consulting, growth consulting, or strategic agency environment). Direct professional experience within the automotive, dealership, or collision repair industry (mandatory). Demonstrated track record of driving measurable, significant revenue growth. Strong understanding of GTM strategy, business expansion, and operational optimisation. Advanced analytical and data interpretation skills. Excellent client-facing communication and executive presentation abilities. Ability to manage multiple high-impact projects simultaneously. Strong commercial acumen and revenue-focused mindset. 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: Dhahran, Saudi Arabia Eram Talent is looking for a detail-oriented and analytical Associate HR Analyst to join our team. As a leading recruitment consultancy, we specialize in providing exceptional talent acquisition services across various industries, including Oil & Gas, Petroleum, Infrastructure, Energy, Water, Transportation, Science & Technology, and Health Care. The Associate HR Analyst will be responsible for collecting, analyzing, and interpreting HR data to help drive informed decision-making and optimize HR initiatives. The Associate HR Analyst plays a key role in supporting the development and execution of HR strategies by utilizing data-driven insights and operational expertise to drive business outcomes. Working closely with the HR team, this role focuses on collecting, analyzing, and interpreting complex workforce data to guide decision-making in areas such as talent acquisition, employee engagement, performance management, and organizational development. Responsibilities Conduct data analysis on various HR metrics, including recruitment, employee engagement, retention, and performance management. Prepare comprehensive reports and dashboards to communicate insights and trends to HR leadership. Support the HR team in identifying areas for improvement and developing actionable recommendations based on data findings. Assist in the management of HR-related surveys, ensuring data integrity and accuracy in reporting. Collaborate with other departments to gather data and support HR initiatives. Maintain accurate records and databases of HR metrics and analyses. Help in the development and implementation of HR analytics tools and systems. Requirements Bachelor’s degree in Human Resources, Business Administration, Finance, or a related field. 3+ years of experience in HR, data analysis, or a related function. Fresh graduates with strong analytical or organizational experience (e.g., student leadership, finance internships) are encouraged to apply. Proficiency in Microsoft Excel and data visualization tools (e.g., Power BI, Tableau). Familiarity with HR systems or ERP platforms (e.g., SAP, Oracle) is a plus. Familiarity with Compensation and Benefits Support. Strong analytical skills with the ability to interpret complex data sets. Proficiency in Microsoft Excel and experience with HR analytics software. Excellent communication and presentation skills to convey data insights effectively. Detail-oriented with strong organizational skills. A proactive attitude and willingness to learn and contribute to the HR team.