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Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. We build and run our own index. That means we own the hard problems directly: crawl coverage at scale, freshness, cost per query, and the quality of what comes back. This role owns that infrastructure as a product. When an agent asks a question, the answer has to be relevant, fresh, fast, and affordable. Those four things pull against each other, and someone has to decide which one gives. That is you. You will set what good means for each use case we serve and the bar a change has to clear before it ships, working closely with our evaluation team, who own how we measure it. You will also shape where our index goes next: what it needs to cover, how fresh it needs to be, and what it has to be good at. The most open part of the job is what comes next. Search is being rebuilt for a consumer that is not a person. Agents do not want one result page, they want to break a problem apart, run many retrievals, and decide what to do next. That changes what search infrastructure should look like, and part of your job is to have a view on where ours should go. The hard part is deciding what good enough means. Perfect coverage, perfect freshness, and low cost cannot all be true at once, and the person in this seat is the one who has to make that call for each use case and defend it. In your first year, we expect you to set a clear quality bar for our search products that the team builds against, have a real influence on where our index goes next, and bring us a point of view on where search infrastructure is heading. This is a hands-on senior IC role with real ownership, reporting to the Director of Product. You will work day to day with our search engineering and research teams, with the evaluation team, and with customer success, who bring us quality feedback from real accounts every week. Our search engineers are deeply experienced in large-scale retrieval, and the product team is small, so you will argue your case directly with the people building it. That only works if you have built at this scale yourself. Your responsibilities will include: Set the quality bar and release criteria for search: what good means per use case, and what a change has to clear before it ships. Our evaluation team owns the measurement, and you work closely with them on what to measure and why. Own the depth, latency, and cost tradeoffs across our search products, and make them explicit and defensible. Shape the direction of our index: what it needs to cover, how fresh it needs to be, and what quality bar it has to meet. Build a point of view on where search infrastructure is going as agents, rather than people, become the main consumer, and turn that into a roadmap. Know how we compare to the alternatives customers evaluate, and drive the work that closes the gaps that matter. Work with customer success and directly with customers to understand where our results fall short in real workflows, and turn that into quality priorities. Partner with the data and vertical product owners on what our corpus needs to contain and how results should be shaped per industry. We expect you to have: 5+ years of product management experience, with a meaningful portion spent on high-scale search or ranking systems: web search, feed ranking at a large social platform, or a large ad engine. A background as an engineer, ML engineer, or researcher on a production system in one of those areas. This is a requirement rather than a preference. You will be making tradeoff calls alongside senior search engineers, and you need to have built something at that scale yourself. Direct experience shipping a search or ranking change end to end, including how it was evaluated and what happened after it shipped. A strong data foundation: you can design an experiment, read eval results critically, and tell a real quality improvement from noise. Product judgment to match the technical depth: you can decide what to build and what to leave, and defend it to both engineers and customers. Strong understanding of LLMs, AI agents, and how retrieval fits into agentic workflows. Comfort with ambiguity, moving between strategy and execution without losing the thread. The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: Depth in information retrieval, NLP, or applied machine learning beyond what the role requires. Experience with index tiering, sharding, freshness pipelines, or cost-per-query optimisation at scale. Experience with hybrid retrieval, semantic and lexical search, re-ranking, or human evaluation programs. Experience in API-first or developer-platform businesses running both self-serve and enterprise motions. Experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. We build and run our own index. That means we own the hard problems directly: crawl coverage at scale, freshness, cost per query, and the quality of what comes back. This role owns that infrastructure as a product. When an agent asks a question, the answer has to be relevant, fresh, fast, and affordable. Those four things pull against each other, and someone has to decide which one gives. That is you. You will set what good means for each use case we serve and the bar a change has to clear before it ships, working closely with our evaluation team, who own how we measure it. You will also shape where our index goes next: what it needs to cover, how fresh it needs to be, and what it has to be good at. The most open part of the job is what comes next. Search is being rebuilt for a consumer that is not a person. Agents do not want one result page, they want to break a problem apart, run many retrievals, and decide what to do next. That changes what search infrastructure should look like, and part of your job is to have a view on where ours should go. The hard part is deciding what good enough means. Perfect coverage, perfect freshness, and low cost cannot all be true at once, and the person in this seat is the one who has to make that call for each use case and defend it. In your first year, we expect you to set a clear quality bar for our search products that the team builds against, have a real influence on where our index goes next, and bring us a point of view on where search infrastructure is heading. This is a hands-on senior IC role with real ownership, reporting to the Director of Product. You will work day to day with our search engineering and research teams, with the evaluation team, and with customer success, who bring us quality feedback from real accounts every week. Our search engineers are deeply experienced in large-scale retrieval, and the product team is small, so you will argue your case directly with the people building it. That only works if you have built at this scale yourself. Your responsibilities will include: Set the quality bar and release criteria for search: what good means per use case, and what a change has to clear before it ships. Our evaluation team owns the measurement, and you work closely with them on what to measure and why. Own the depth, latency, and cost tradeoffs across our search products, and make them explicit and defensible. Shape the direction of our index: what it needs to cover, how fresh it needs to be, and what quality bar it has to meet. Build a point of view on where search infrastructure is going as agents, rather than people, become the main consumer, and turn that into a roadmap. Know how we compare to the alternatives customers evaluate, and drive the work that closes the gaps that matter. Work with customer success and directly with customers to understand where our results fall short in real workflows, and turn that into quality priorities. Partner with the data and vertical product owners on what our corpus needs to contain and how results should be shaped per industry. We expect you to have: 5+ years of product management experience, with a meaningful portion spent on high-scale search or ranking systems: web search, feed ranking at a large social platform, or a large ad engine. A background as an engineer, ML engineer, or researcher on a production system in one of those areas. This is a requirement rather than a preference. You will be making tradeoff calls alongside senior search engineers, and you need to have built something at that scale yourself. Direct experience shipping a search or ranking change end to end, including how it was evaluated and what happened after it shipped. A strong data foundation: you can design an experiment, read eval results critically, and tell a real quality improvement from noise. Product judgment to match the technical depth: you can decide what to build and what to leave, and defend it to both engineers and customers. Strong understanding of LLMs, AI agents, and how retrieval fits into agentic workflows. Comfort with ambiguity, moving between strategy and execution without losing the thread. The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: Depth in information retrieval, NLP, or applied machine learning beyond what the role requires. Experience with index tiering, sharding, freshness pipelines, or cost-per-query optimisation at scale. Experience with hybrid retrieval, semantic and lexical search, re-ranking, or human evaluation programs. Experience in API-first or developer-platform businesses running both self-serve and enterprise motions. Experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. We build and run our own index. That means we own the hard problems directly: crawl coverage at scale, freshness, cost per query, and the quality of what comes back. This role owns that infrastructure as a product. When an agent asks a question, the answer has to be relevant, fresh, fast, and affordable. Those four things pull against each other, and someone has to decide which one gives. That is you. You will set what good means for each use case we serve and the bar a change has to clear before it ships, working closely with our evaluation team, who own how we measure it. You will also shape where our index goes next: what it needs to cover, how fresh it needs to be, and what it has to be good at. The most open part of the job is what comes next. Search is being rebuilt for a consumer that is not a person. Agents do not want one result page, they want to break a problem apart, run many retrievals, and decide what to do next. That changes what search infrastructure should look like, and part of your job is to have a view on where ours should go. The hard part is deciding what good enough means. Perfect coverage, perfect freshness, and low cost cannot all be true at once, and the person in this seat is the one who has to make that call for each use case and defend it. In your first year, we expect you to set a clear quality bar for our search products that the team builds against, have a real influence on where our index goes next, and bring us a point of view on where search infrastructure is heading. This is a hands-on senior IC role with real ownership, reporting to the Director of Product. You will work day to day with our search engineering and research teams, with the evaluation team, and with customer success, who bring us quality feedback from real accounts every week. Our search engineers are deeply experienced in large-scale retrieval, and the product team is small, so you will argue your case directly with the people building it. That only works if you have built at this scale yourself. Your responsibilities will include: Set the quality bar and release criteria for search: what good means per use case, and what a change has to clear before it ships. Our evaluation team owns the measurement, and you work closely with them on what to measure and why. Own the depth, latency, and cost tradeoffs across our search products, and make them explicit and defensible. Shape the direction of our index: what it needs to cover, how fresh it needs to be, and what quality bar it has to meet. Build a point of view on where search infrastructure is going as agents, rather than people, become the main consumer, and turn that into a roadmap. Know how we compare to the alternatives customers evaluate, and drive the work that closes the gaps that matter. Work with customer success and directly with customers to understand where our results fall short in real workflows, and turn that into quality priorities. Partner with the data and vertical product owners on what our corpus needs to contain and how results should be shaped per industry. We expect you to have: 5+ years of product management experience, with a meaningful portion spent on high-scale search or ranking systems: web search, feed ranking at a large social platform, or a large ad engine. A background as an engineer, ML engineer, or researcher on a production system in one of those areas. This is a requirement rather than a preference. You will be making tradeoff calls alongside senior search engineers, and you need to have built something at that scale yourself. Direct experience shipping a search or ranking change end to end, including how it was evaluated and what happened after it shipped. A strong data foundation: you can design an experiment, read eval results critically, and tell a real quality improvement from noise. Product judgment to match the technical depth: you can decide what to build and what to leave, and defend it to both engineers and customers. Strong understanding of LLMs, AI agents, and how retrieval fits into agentic workflows. Comfort with ambiguity, moving between strategy and execution without losing the thread. The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: Depth in information retrieval, NLP, or applied machine learning beyond what the role requires. Experience with index tiering, sharding, freshness pipelines, or cost-per-query optimisation at scale. Experience with hybrid retrieval, semantic and lexical search, re-ranking, or human evaluation programs. Experience in API-first or developer-platform businesses running both self-serve and enterprise motions. Experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Animal Care Clinic - Wilsonville, OR Credentialed Veterinary Technician – CVT Animal Care Clinic | Wilsonville, Oregon Animal Care Clinic, an AAHA-accredited small animal practice in Wilsonville, Oregon, is looking for a skilled Credentialed Veterinary Technician (CVT/LVT) to join our close-knit, experienced team. We’re a 22-person clinic with strong employee retention, loyal clients, and a collaborative culture where communication and teamwork are truly valued. If you’re looking for a practice where your technical skills are appreciated, your professional growth is encouraged, and a healthy team environment matters, we’d love to meet you! Pay $26–$30 per hour , based on experience. About Our Hospital Animal Care Clinic has proudly served the Wilsonville community for decades and is supported by a team of 2 full-time and 2 part-time veterinarians. Our doctors bring a variety of skills to the practice, including Dr. Debbie’s certification in rehabilitation and Dr. Brent’s extensive surgical experience; all client spays are performed laparoscopically. We have a water treadmill for rehabilitation appointments, cat and dog boarding with dedicated kennel staff, weekly team meetings, and a strong focus on education, communication, and collaborative problem-solving. Our loyal clientele and numerous 5-star Google reviews reflect the relationships we’ve built with the Wilsonville community. The Team & Culture We’re looking for a technically skilled CVT, but technical ability is only part of what makes someone successful here. Great communication skills, reliability, and emotional intelligence are equally important to our team. We’ve worked hard over the years to create a positive, drama-free workplace, and we’re intentional about protecting that environment. We believe technical skills can be taught and developed, but strong communication and the ability to navigate difficult conversations with professionalism and empathy are invaluable. Our clinic’s core values are: Communication Compassion Honesty & Accountability Dynaptability — Dynamic + Adaptable Equality Opportunities to Grow We believe in investing in our team and encouraging technicians to expand their skill sets. Interested team members can receive additional training to assist with rehabilitation appointments, including the use of our water treadmill once repairs are complete. Our team also benefits from an experienced surgical doctor, laparoscopic spay procedures, a collaborative medical environment, and opportunities to continue learning and developing professionally. What We Offer Medical, dental, vision, life, and disability insurance HSA contribution 401(k) with employer match Paid time off Generous CE allowance Paid licensing and professional membership dues Flexible scheduling to support work-life balance Uniform allowance A highly experienced, supportive, and collaborative team Opportunities for professional growth and specialized training Life in Wilsonville Wilsonville is a charming community of the Portland metro area , offering a quieter community feel while keeping you close to everything Portland has to offer. Located right off I-5, Wilsonville is a community with beautiful parks, easy access to outdoor recreation, wineries, and the natural beauty of the Pacific Northwest. If you’re a credentialed veterinary technician who values excellent medicine, meaningful client relationships, teamwork, and a positive workplace culture, Animal Care Clinic could be the perfect next step in your career. For more information about our hospital, please visit animalcarevets.com To apply, please contact Christine Erickson at christine.erickson@lakefieldvet.com or apply at careers.lakefieldvet.com . ABOUT LAKEFIELD VETERINARY GROUP We believe exceptional veterinary care starts with exceptional people. We partner with hospitals across the country to preserve what makes each practice special - its people, culture, and connection to community - while providing the operational support and resources that allow teams to thrive. As we grow, we are committed to creating an environment where team members feel respected, supported, and empowered to deliver outstanding care. Our Values Our culture is built on five core values that guide how we work and serve: Respect Learning Do the Right Thing Wow Service Fun If these resonate with you, you’ll fit right in. Equal Employment Opportunity Lakefield Veterinary Group is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all team members and applicants.

Location: London, Paris, New York 2027 – Internship or Graduate, FPGA Engineering Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Location: London Programme duration: 3–6 months, or full-time graduate, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. QRT’s FPGA team builds ultra-low-latency hardware for our trading systems. By implementing custom logic directly on FPGA devices, the team can process market data and execute orders with tight control over latency, throughput and system behaviour. The work sits at the boundary between hardware and software. We use SystemVerilog, C++ and Python to design, verify and integrate FPGA systems into our wider trading infrastructure. The problems are technically demanding: small design decisions can have measurable consequences, and performance needs to come with reliability. As an intern or graduate in the FPGA team, you will: Build production FPGA systems – Contribute to the design, development and optimisation of FPGA-based platforms used in live trading. Work across hardware and software – Use SystemVerilog, C++ and Python to build, test and refine high-performance, low-latency systems. Develop and verify new functionality – Implement FPGA features that improve how our systems process market data and execute orders, and build the tests needed to verify them. Integrate systems – Work with hardware and software engineers to connect FPGA components with QRT’s broader trading infrastructure. Analyse performance – Debug and profile designs, investigating latency, resource utilisation and other constraints to understand where improvements can be made. Work with modern FPGA technology – Gain hands-on experience with FPGA hardware, development tools and verification workflows used in low-latency trading. Explore new approaches – Contribute to research and development aimed at improving the performance and capabilities of our FPGA systems. Your present skillset Interest in technology: You enjoy understanding how systems work and have explored that interest through software or hardware projects, whether academic, personal or hobby-based. Formal Computer Science training is not essential. HDL experience: Experience or coursework using an HDL such as SystemVerilog, Verilog or VHDL. Programming: Experience with C++ and/or Python. Technical foundations: An understanding of digital logic design, computer architecture and high-speed interfaces. FPGA tools: Familiarity with FPGA development toolchains such as Xilinx Vivado or Intel Quartus is useful, but not essential. Problem solving: You can reason through technical problems methodically, troubleshoot designs and think about trade-offs between performance, resource utilisation and power efficiency. Mindset: Curious, proactive and comfortable asking questions. You look for opportunities to understand systems more deeply and improve how they perform. Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a technical interview with the relevant team . Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London, Paris EMEA 2027 – Graduate or Internship, Infrastructure Engineer Location: London, Paris Programme duration: 3–6-month internship, 12-month industrial placement or graduate position Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics, and risk infrastructure. We invest heavily in engineering, automation, and scalable systems because better technology allows us to test ideas faster, operate more reliably, and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects, and learn from engineers, researchers, and traders working on live problems. The environment is technical and collaborative, with plenty of scope to ask questions, explore different approaches, and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT As part of QRT’s Infrastructure group, you’ll help build and operate the systems behind our research, trading and business activities. The work spans hardware, operating systems, compute, storage, networking and platform engineering, with a common focus on performance, reliability and automation. Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on. Depending on the strongest fit, your internship may focus on one of the following areas: Infrastructure The Infrastructure team looks after the on-premise hardware and operating systems behind our production trading environment. The work goes well beyond keeping systems running: engineers measure and optimise hardware performance, investigate Linux internals and tune systems where small changes can make a meaningful difference. You’ll develop a detailed understanding of how hardware and software interact and how to make production systems faster, more stable and more predictable. Research Infrastructure Research Infrastructure builds and operates the high-performance compute, networking and storage systems behind QRT’s research. These systems support large-scale data processing, advanced analytics and machine learning and AI workloads using technologies such as PyTorch. The team works closely with researchers to understand what their workloads need and design infrastructure that can meet those demands efficiently. The aim is simple: give researchers reliable, scalable compute so they can spend more time on research and less time thinking about the infrastructure underneath it. HPC Storage The HPC Storage team builds and operates the high-performance storage infrastructure behind large-scale research and computing workloads across QRT. The problems involve moving and serving large volumes of data reliably, securely and quickly enough to support demanding simulations and analyses. You’ll work with enterprise-scale storage technologies and collaborate with engineers, researchers and technology vendors. It’s an opportunity to understand storage at scale, from the underlying architecture and performance characteristics to the way researchers and compute systems interact with it. Network Operations Network Operations is responsible for the availability, reliability and security of QRT’s global network, connecting the systems behind our research and trading activities. The team investigates incidents, develops observability tooling and builds automation to make operating the network more reliable and efficient. Alongside day-to-day operations, the team works on the infrastructure needed for high-performance compute and low-latency trading. This means understanding how networks behave in practice, finding the source of difficult problems and looking for ways to make systems simpler to operate and easier to observe. DevOps (London & Paris, open to penultimate students) Platform Engineering builds and automates the infrastructure, tools and workflows behind QRT’s research and trading platforms. Working across cloud and on-premise environments, the team brings together DevOps, cloud, networking, security, infrastructure and software engineering. You’ll work on the systems that allow researchers and developers to build, deploy and operate technology efficiently at scale. That could mean improving deployment workflows, automating infrastructure or finding better ways to make complex systems reliable and repeatable. SRE (London & Paris) Site Reliability Engineering sits at the intersection of software engineering, quantitative research and trading. Working closely with researchers and traders, the team builds reliable, high-performance systems and develops tooling and automation for deployment, monitoring, operations and incident response. The work combines software engineering with an interest in how systems behave in production. You’ll investigate technical problems, improve observability and help design systems that remain resilient as they scale, while developing an understanding of the quantitative workflows they support. Your current skillset Eligibility – Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Computer Science, Information Technology, Networks or a related subject, on track for a 2:1 or above. Interest in technology – We’re interested in what you’ve explored and built, whether through hobbies, personal projects, academic work or open-source contributions. Technical skills – You don’t need experience with everything below. Depending on the team, relevant knowledge and experience may include: Programming or scripting in languages such as Python or Bash. Tools such as Git, SQL and GCC. Confidence working from the Linux command line, including familiarity with Linux/Unix system administration fundamentals. An understanding of storage concepts such as RAID, erasure coding, file systems and networking protocols. Knowledge of networking concepts including TCP/IP and Ethernet. Experience with monitoring and observability tools such as Grafana, Prometheus and PromQL. Hands-on experimentation with Linux, such as building Linux systems on laptops or Raspberry Pis or working with custom Android installations, particularly for on-premise Infrastructure roles. Mindset – Curious about how systems work and comfortable getting into the detail when something doesn’t behave as expected. You approach problems methodically, ask questions and look for practical ways to improve performance or reliability. Approach – Self-motivated, collaborative and comfortable taking ownership of a technical problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site at an assessment centre or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London, Paris, Wrocław, Zurich, Dubai, Aarhus, Amsterdam Programmes offered: Final-year internship, penultimate-year internship Location: London, Paris , Wrocław, Zurich, Dubai, Aarhus, Amsterdam Programme duration: 3–6 months or 12-month industrial placement , starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT As a Technology Intern, you’ll help build the systems, platforms and tools behind QRT’s research, trading and investment activities. You’ll work alongside experienced engineers, quantitative developers, researchers and traders, contributing to production technology and solving problems where performance, reliability and good engineering judgement matter. Depending on your interests and strengths, you may join one of two Technology disciplines. Software Engineer (London , Wrocław, Zurich ) Software Engineers build the technology that underpins QRT’s trading and investment activities. This includes the platforms and infrastructure that connect us to global markets, brokers and data providers, as well as the systems used for order generation, execution, analytics, risk management and P&L reporting. The engineering problems vary considerably in scale and shape. At one end, we build ultra-low-latency execution technology where small improvements can matter. At the other, we develop global, cross-asset platforms that need to process large volumes of data reliably and make complex information accessible to users across the firm. As an intern, you’ll work with experienced engineers, quantitative developers and researchers on a defined technical problem. You’ll be expected to understand the problem properly, make sensible engineering choices and build something useful. Examples of projects you may work on include: AI-Powered Static Analysis – Build a tool combining static analysis and large language models to identify double-deletion and memory-management issues in our public API. Exchange Simulator Advanced Order Support – Extend our Exchange Simulator to support market orders, time-in-force instructions and algorithmic orders, making strategy testing more representative of live trading. Risk Data Platform – Extend our risk data platform to provide the data required to support trading in a new trade type. Lightweight Trading UI – Create a lightweight trading interface with order entry, live market and position views, and clear visualisation of trading activity. Quantitative Developer (London, Paris, Wrocław, Dubai, Aarhus, Amsterdam) Quantitative Developers work at the intersection of research, trading and engineering. Sitting close to the trading desk, they work directly with researchers and traders to build the technology needed to explore ideas, analyse markets and run strategies in production. The role combines strong software engineering with an understanding of how technology can make quantitative research and trading more effective. That might mean building high-performance execution systems, improving research infrastructure, developing machine learning platforms or creating tools that make complex data easier to work with. You’ll work on live technical problems where performance, reliability and iteration speed all matter. It’s a collaborative role with direct exposure to quantitative research, financial markets and production trading systems. Examples of projects you may work on include: Real-Time Trading Systems – Build high-performance C++ systems for real-time trading, contributing to low-latency infrastructure and execution technology where every microsecond can matter. Quantitative Research Platforms – Help develop the platforms used for quantitative research across QRT, including machine learning systems and data pipelines that allow researchers to test and scale ideas efficiently. Research and Trading Tools – Design tools that simplify workflows, improve access to data and make complex information easier to understand through effective visualisation. You’ll work directly with traders, researchers and risk teams to understand their problems and build practical solutions. Your current skillset Eligibility: Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Computer Science, Physics, Mathematics or a related Engineering subject, on track for a 2:1 or above from a leading institution. Interest in technology: You enjoy solving technical problems and are curious about how systems work. You’re interested in building things, not just studying them. Software engineering experience: We value hands-on experience wherever you gained it — through personal projects, open-source contributions, hobbies, internships or academic work. Programming: Proficiency in C++, C# or Python. Tools: Familiarity with scripting languages such as Python or Bash, and tools and technologies including Git, SQL, GCC and Linux. Mindset: Curious, proactive and comfortable asking questions. You look for ways to make systems simpler, faster or more reliable and can turn those observations into practical improvements. Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site at an assessment centre or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Amsterdam; Spain Workplace: remote Senior Reconciliation Analyst (Fixed-Term Cover) About the Role Our Reconciliation team makes sure that every euro our clients see in their balances is actually backed by cash in the bank — and right now, we need an experienced Senior Reconciliation Analyst to join us on a fixed-term basis to cover a period of maternity leave. This is a hands-on, high-impact role at the heart of our payment operations. You'll own the day-to-day routine of monitoring reconciliation breaks, investigating discrepancies, and working closely with engineering and banking partners to keep everything balanced. It's a fast-moving environment where priorities can shift daily, so we're looking for someone who thrives on structure one day and adapts the next. While the core focus is routine reconciliation, there's real room to get involved in automation projects once you're up to speed — and this role can also be a strong stepping stone into other teams at the company longer-term. A Bit About the Team Our Reconciliation team is small but mighty — every analyst is expected to think like an owner, gradually automating routine work while keeping the core process rock-solid. It's a team that values flexibility (fully remote, outcome-focused — we care that the job gets done, not what hours you keep) and gives people real autonomy once the fundamentals are covered. If you enjoy solving problems that sit right at the intersection of data and payments, you'll fit right in here. About the Role Our Reconciliation team makes sure that every euro our clients see in their balances is actually backed by cash in the bank — and right now, we need an experienced Senior Reconciliation Analyst to join us on a fixed-term basis to cover a period of maternity leave. This is a hands-on, high-impact role at the heart of our payment operations. You'll own the day-to-day routine of monitoring reconciliation breaks, investigating discrepancies, and working closely with engineering and banking partners to keep everything balanced. It's a fast-moving environment where priorities can shift daily, so we're looking for someone who thrives on structure one day and adapts the next. While the core focus is routine reconciliation, there's real room to get involved in automation projects once you're up to speed — and this role can also be a strong stepping stone into other teams at the company longer-term. What You Will Be Doing Own daily reconciliation monitoring — checking that cash held in the bank matches client balances in our systems, and flagging and investigating any breaks or mismatches as they arise Resolve reconciliation breaks end-to-end — determining whether an issue is internal (looping in engineering) or external (liaising directly with banks and third-party payment providers) and driving it to resolution Maintain reporting and month-end close — supporting vendor reporting, regulatory reporting, and other recurring reporting cycles with a high level of accuracy Work across data tools — using Excel alongside data visualization tools (Databricks, Metabase, or similar — Tableau/Power BI experience also welcome) to monitor and track reconciliation data Contribute to automation — gradually helping automate manual reconciliation processes using AI and other tools, reducing reliance on spreadsheets over time Handle occasional manual money transfers — with the accuracy and attention to detail this requires Manage stakeholders across the business — working with engineering, treasury, and external banking partners to keep processes running smoothly Who You Are You have hands-on experience in reconciliation, payment operations, or treasury operations (e.g. as a reconciliation specialist, payment analyst, or accountant with reconciliation exposure) You're comfortable with Excel and have some experience with data visualization/BI tools (Databricks, Metabase, Tableau, Power BI, or similar) You have a working understanding of payment schemes and how money moves between banks and internal systems — you know who to go to when something doesn't add up You're diligent and detail-oriented, especially when it comes to handling money movements You're used to fast-paced, frequently changing environments and can adapt when processes shift — this isn't a role with a fixed rulebook You have strong stakeholder management skills and are confident communicating with both internal teams and external partners (e.g. banks) You're able to start immediately or on very short notice You're open to a fixed-term contract (~5 months, with a real possibility of extension depending on business needs) Nice to Have Experience working at a neobank or fintech (e.g. N26 or similar) — you'll likely need less ramp-up time in a high-change environment A mathematical or quantitative background Prior experience helping build or improve automations within a reconciliation or payments workflow Basic SQL or data analysis skills

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the Role We’re looking for a new-generation AI builder — someone between a software engineer, prompt engineer, automation hacker, and product innovator. This is not a traditional SWE role. You’ll work on AI-native products, internal agents, automations, and experimental workflows powered by the latest frontier models, open-source tooling, MCP ecosystems, and multimodal systems. You should be the kind of person who constantly explores what’s happening in AI: - new agent frameworks - open-source tooling - AI video & creative workflows - MCP servers - coding agents - automation stacks - multimodal systems - new product patterns emerging every week You don’t just follow trends — you prototype them. WHO WE’RE LOOKING FOR You might be a fit if you: - Are a hustler who ships fast and experiments constantly - Have strong intuition for building new AI-native products and workflows - Stay deeply plugged into the AI ecosystem and emerging tooling - Understand how modern AI agents actually work under the hood - Can automate things quickly and creatively - Think in systems and workflows, not just prompts - Have strong product taste and curiosity - Thrive in fast-moving, ambiguous environments - Learn new tools obsessively fast MUST-HAVE SKILLS - Experience with JavaScript or Python (ideally both) - Comfortable building prototypes, automations, and internal tools - Understanding of: - LLMs - tokens/context windows - APIs & CLI tooling - MCP ecosystems - agent frameworks - tool use & orchestration - RAG / retrieval concepts - Experience using modern AI coding workflows and AI-native tooling - Ability to quickly turn ideas into working demos or systems BIG PLUS - Experience with ML or training/inference infrastructure - Experience with multimodal or video-generation tooling - Familiarity with open-source AI ecosystems - Experience building agentic systems or autonomous workflows - Strong vibe-coding energy WHAT YOU’LL WORK ON - Build AI-native internal and external products - Prototype new agentic workflows and automation systems - Explore frontier AI tooling and identify new product opportunities - Experiment with multimodal generation systems - Build automations across engineering, creative, and operational workflows - Work closely with product, infra, and research teams - Help the company stay ahead of where the AI market is going THE DEAL - Top-of-market compensation in USD. - Small team, high autonomy, and outsized impact. - On-site role in our Almaty office (we will relocate you from anywhere).

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This role owns that layer end to end. You decide which industries and use cases we productize. With the data team, you find and evaluate the public and premium data providers behind each one. You shape the product surface that sits on top. You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue. The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another. In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next. This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market. Your responsibilities will include: Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it. Shape the product surface on top of the data, so a customer gets something built for their job. Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in. Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build. Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it. Work with customer success to learn what customers ask us for and what makes them leave. Partner with the search owner on how results should be ranked and shaped for each use case. We expect you to have: 5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products. Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable. A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found. Experience in API-first or developer-platform businesses. Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. A technical background, through a degree in computer science or engineering or equivalent hands-on experience, with the ability to engage deeply with technical architecture and tradeoffs. The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: Domain experience in market intelligence, news, financial research, or another data-heavy industry. Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company, or experience building vertical data products in-house. Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need. Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This role owns that layer end to end. You decide which industries and use cases we productize. With the data team, you find and evaluate the public and premium data providers behind each one. You shape the product surface that sits on top. You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue. The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another. In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next. This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market. Your responsibilities will include: Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it. Shape the product surface on top of the data, so a customer gets something built for their job. Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in. Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build. Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it. Work with customer success to learn what customers ask us for and what makes them leave. Partner with the search owner on how results should be ranked and shaped for each use case. We expect you to have: 5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products. Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable. A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found. Experience in API-first or developer-platform businesses. Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. A technical background, through a degree in computer science or engineering or equivalent hands-on experience, with the ability to engage deeply with technical architecture and tradeoffs. The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: Domain experience in market intelligence, news, financial research, or another data-heavy industry. Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company, or experience building vertical data products in-house. Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need. Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This role owns that layer end to end. You decide which industries and use cases we productize. With the data team, you find and evaluate the public and premium data providers behind each one. You shape the product surface that sits on top. You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue. The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another. In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next. This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market. Your responsibilities will include: Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it. Shape the product surface on top of the data, so a customer gets something built for their job. Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in. Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build. Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it. Work with customer success to learn what customers ask us for and what makes them leave. Partner with the search owner on how results should be ranked and shaped for each use case. We expect you to have: 5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products. Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable. A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found. Experience in API-first or developer-platform businesses. Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. A technical background, through a degree in computer science or engineering or equivalent hands-on experience, with the ability to engage deeply with technical architecture and tradeoffs. The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: Domain experience in market intelligence, news, financial research, or another data-heavy industry. Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company, or experience building vertical data products in-house. Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need. Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: London, United Kingdom About the Role We are seeking a highly accomplished and strategic Account Executive to join our Enterprise/Field Sales team. In this advanced role, you will be pivotal in driving significant growth by leading comprehensive sales cycles within a portfolio of assigned enterprise-level clients, and strategically acquiring new logos. The ideal candidate possesses a deep blend of advanced sales acumen and sophisticated technical understanding, enabling them to lead engagements at all levels, from the C-suite to technical leaders (e.g., Head of/VP of Networking or Security). As an Account Executive, you will consistently demonstrate advanced proficiency in all sales activities, ensuring highly accurate forecasting, proactive and strategic pipeline management, and consistently exceeding attainment targets. You will be a subject matter expert, speaking fluently about Cloudflare's products, features, benefits, and use cases across diverse customer segments. This role demands the ability to deeply understand complex customer IT Architectures, match them with relevant Cloudflare Reference Architectures, and orchestrate successful, large-scale platform sales. You will be a key driver of digital transformation for our customers, understanding their broader market trends and how Cloudflare uniquely enables their strategic initiatives. What You'll Do Strategic Revenue Generation: Architect and execute advanced territory and account plans to consistently exceed multi-million dollar sales targets and annual quotas, with a strong focus on new business acquisition and expansion within complex enterprise environments. Expert Pipeline & Forecasting: Lead proactive and strategic pipeline management efforts, demonstrating a sophisticated understanding of sales cycles and customer buying processes. Deliver highly accurate forecasts, providing clear insights and strategic guidance to sales leadership. Deep Customer & IT Architecture Understanding: Develop a profound understanding of customers' IT architectures, including applications and third-party technologies. Architect and align Cloudflare Reference Architectures to customer environments, driving comprehensive platform solutions. Multi-Engagement Leadership: Orchestrate and manage multiple complex customer engagements simultaneously across various business units within an organization. Strategically connect disparate needs to strengthen Cloudflare's platform sale, actively involving and influencing technical C-level minus one executives. Virtual Team Leadership: Set clear direction and lead a virtual team of in-GEO specialists, Product Managers, Deal Desk, and Legal to collaboratively manage and close complex customer opportunities. Proactively identify and navigate through situations to address colleague and customer needs, escalating as appropriate to drive urgency and efficient delivery. Digital Transformation Authority: Act as an authority on digital transformation, understanding key drivers (e.g., new offering development, enhanced customer capabilities) and the broader market trends influencing these decisions. Position Cloudflare as a critical enabler of these transformations. Compelling Value Creation: Articulate highly compelling, strategic value propositions for Cloudflare's services, directly linking them to customer business outcomes and strategic objectives. Lead with a strong focus on the "why," communicating the whole picture to both internal and external stakeholders. Advanced Negotiation & Closure: Expertly lead and navigate complex contract negotiations, driving win-win scenarios for all parties. Demonstrate advanced closing skills across new business and expansion opportunities. Trusted Advisor & Coach: Build long-term, executive-level strategic relationships, ensuring deep customer adoption, retention, and expansion. Consistently provide clear, direct, and constructive feedback to team members, coaching them to improve communication, learn from mistakes, and enhance the quality of work. Share learnings proactively to build trust across the organization. Organizational Impact & Leadership: Consistently focus on the long-term needs of the team and the business, understanding how decisions impact other teams and openly sharing these insights. Leverage company-wide learnings to improve department and team execution. Serve as a leader within Cloudflare, making significant contributions while elevating the work of others by bringing diverse perspectives and strategic long-term thinking. Examples of Desirable Skills, Knowledge, and Experience 10+ years of advanced experience selling complex technology solutions in a B2B enterprise model , with a significant track record of consistently exceeding multi-million dollar quota targets. Deep expertise and fluency in Cloud Networking, Security, and Edge Computing technologies , with an exceptional ability to articulate features, benefits, and use cases across diverse customer segments (e.g., SMBs, enterprise, vertical markets). Proven ability to deeply understand complex customer IT architectures and effectively map them to Cloudflare Reference Architectures for successful platform sales. Demonstrated success leading and influencing virtual cross-functional teams (e.g., Solution Engineers, Product Managers, Legal) to drive complex deals to closure. Exceptional strategic communication and presentation skills , with a focus on articulating the "why" and conveying the whole picture to executive leadership and technical decision-makers (C-level minus one). Advanced negotiation skills with a track record of closing large, complex, six-figure and multi-million dollar deals. Expert-level sales acumen: unparalleled proficiency in discovery, positioning, competitive selling, negotiation, closing, and expansion strategies within enterprise accounts. Authority on digital transformation trends and their impact on enterprise customers, with the ability to position Cloudflare as a key enabler of strategic business outcomes. Strong coaching and mentorship abilities , with a passion for helping colleagues grow and improve. Highly self-motivated, entrepreneurial, and resilient , thriving in a fast-paced, high-growth environment with a consistent focus on long-term goals. Proficiency in advanced sales and business intelligence platforms (e.g., Salesforce, Tableau, G-suite, MSFT suite, MEDDPICC framework application). Bachelor's degree required , with a technical background (e.g., engineering, computer science, MIS) highly preferred. Ability to travel as required to engage with key customers and internal teams. Language Skills: What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Vladivostok Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com.   ABOUT YOU We are looking for a Backend Engineer at junior level to join our APAC Partnerships team in Vladivostok, working alongside our HQ Integration Management and Engineering teams. Your job is to make partnerships technically real: turning an inbound partnerships inquiry into a working integration, generating and serving the affiliate and referral links that Traffic Source Partners use, and making sure the traffic those links carry lands correctly in our Web Shops and is attributed all the way through to a purchase. You will write the backend that sits between a partner and our commerce platform — link generation, click and conversion tracking, attribution pass-through, postbacks, and the reporting endpoints that feed partner payouts. You will also build the internal tooling that lets the Partnerships and Customer Success teams onboard partners and reconcile payouts without hand-editing spreadsheets. This is an entry-level engineering role with genuine product surface area. Recent graduates and career-changers with a strong project portfolio are welcome. If you like small, well-scoped systems that other people depend on daily, and you want to learn commerce, attribution, and payments engineering from a team that runs it at global scale, we would love to hear from you. RESPONSIBILITIES Build partner integrations Build and maintain backend services that power Traffic Source partnerships: affiliate and referral link generation, click and conversion tracking, attribution parameter pass-through, server-to-server postbacks and webhooks, and partner-facing reporting endpoints. Take new partnerships inquiries from intake through to production — clarify the requirement with the Partnerships and BD teams, write the technical spec, implement, test, and deploy. Integrate affiliate links with Xsolla Web Shops so partner-driven traffic is tracked end to end and attributed correctly at checkout. Read a partner's API documentation and build against it; where a partner needs to build against us, document our side clearly and support their integration. Tooling & data Build internal tooling and scripts for partner onboarding, bulk link generation, performance data extraction, and payout reconciliation reporting used by the Customer Success and Partnerships teams. Investigate and resolve attribution and tracking discrepancies together with Analytics and Customer Success — missing conversions, duplicate events, broken parameters, timing mismatches. Add logging, metrics, and alerting so integration failures are caught by us rather than reported by a partner. Ways of working Write and maintain API documentation and integration guides for partners and internal stakeholders. Participate in code review, write tests, and work within existing CI/CD pipelines and Git workflows. Work with the HQ Engineering and Integration Management teams on standards and architecture; escalate design decisions early rather than working around them. Collaborate closely with the Partnerships Designer on the frontend surfaces your integrations power, and with Customer Success on the payout data your services produce. Track work in Jira and keep technical documentation current in Confluence. REQUIREMENTS 1–4 years of professional backend development experience, or a strong portfolio of personal, academic, or internship projects you can walk us through. Recent graduates are welcome. Working proficiency in at least one backend language — Go, PHP, Python, Node.js / TypeScript, or Java. Solid SQL and relational database fundamentals (schema design, joins, indexing basics). Good understanding of HTTP, REST APIs, JSON, webhooks, and API authentication (API keys, OAuth 2.0). Comfortable with Git and working in a code-review culture. Able to debug a problem you did not write — read logs, reproduce, isolate, and explain the cause. English sufficient for technical discussion and written documentation with HQ teams; Russian for day-to-day work in the Vladivostok office. Based in, or willing to relocate to, Vladivostok for an onsite role. NICE TO HAVE Exposure to affiliate or performance marketing technology: tracking pixels, S2S postbacks, click IDs and UTM parameters, last-click attribution, deduplication, or traffic-quality and fraud filtering. E-commerce, storefront, checkout, or payments integration experience. Frontend basics (JavaScript / TypeScript, React) — enough to work productively with the Partnerships Designer on shop and landing-page surfaces. Docker, CI/CD pipelines, and cloud platforms (GCP or AWS). Message queues, scheduled jobs, or data pipeline experience. Familiarity with analytics or BI tooling. Interest in the gaming industry, fintech, or high-load consumer platforms. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Benefits   Convenient working tools: New Mac laptop and any other necessary equipment for your efficient work. Google Workspace, Atlassian, Jira, Slack   Professional growth: Paid professional training and attendance at specialized conferences Exchange of experience between employees within the company Opportunity for professional growth within the company and department Obtaining expertise in various areas and products of the company   More perks Possibility of flexibility working Access to the corporate library Health & dental insurance No dress code Comfortable and new office environment   The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Mexico City; Lima; Almaty; Buenos Aires; Santiago; São Paulo; Bogotá; Belgrade Workplace: Remote Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT LAVENDO Lavendo is a US-based boutique recruiting agency specializing in sales, GTM, and tech roles for fast-growing startups and tech companies. We're a small, close-knit remote team who care deeply about results, relationships, and doing great work. We move fast, take ownership of our work, and genuinely enjoy what we do. If that sounds like your kind of environment, we'd love to hear from you. THE ROLE We're looking for a Talent Sourcer to join our team and help us build strong, qualified candidate pipelines for our clients. This role is focused on the top of the funnel - you'll be responsible for identifying, researching, and engaging exceptional talent through outbound sourcing, and setting our recruiters up to close great placements. This is a remote, flexible role. We ask that you're available for team syncs and client calls during US Pacific Time hours, with overlap until at least 3 PM PT (San Francisco time). You don't need years of sourcing or recruiting experience to apply. What we care about most is that you're thoughtful, motivated, coachable, and take ownership of your work. We'll teach you the rest - including every tool in our stack. WHAT YOU'LL DO - Proactively source candidates using outreach tools, social media, X-ray, Boolean search, and creative sourcing strategies - Build and manage strong outbound talent pipelines for a range of open roles - Conduct initial candidate outreach and qualify interest and fit before handing off to recruiters - Keep candidate records, pipelines, and sourcing notes accurate and up to date - Collaborate closely with recruiters and communicate clearly on candidate quality and pipeline health - Meet weekly sourcing activity targets and pipeline goals - Share ideas, flag issues early, and contribute to team improvements - not just execute tasks YOU'LL THRIVE HERE IF YOU - Speak fluent English - you'll be conducting calls, writing outreach, and communicating with US professionals daily. This is a hard requirement. - Are genuinely proactive - you notice what needs to be done and take initiative without waiting to be asked - Have a strong sense of ownership - you treat your searches and candidates with care, as if they're your own responsibility - Are coachable and curious - you welcome feedback, ask good questions, and enjoy learning - Care about results - you're focused on pipeline quality and real outcomes, not just checking boxes - Are collaborative and easy to work with - you support teammates, share knowledge, and contribute to a positive team environment - Have 0-3 years of experience in any outbound, research, or client-facing role - sales development, research, recruiting, or sourcing (a plus but not required) WHAT WE OFFER - Competitive base salary based on your experience and local market (typically ~$800-$1,600/mo) + performance incentives tied to pipeline quality and hires - the more you contribute, the more you earn - Deel contract for simple, reliable, international payments (1099 contract) - A structured work environment with daily team syncs, weekly team trainings, and regular 1:1s - A real team - not a solo gig. We collaborate on Slack daily and support each other's work - Hands-on onboarding and coaching from an experienced US-based recruiter - A modern, best-in-class recruiting tech stack - we use top tools and autonomous AI agents, and will train you on everything: Ashby, Juicebox, Metaview, Slack, Perplexity, Claude, and more - Work with exciting clients - high-growth ML, AI Infra, Cyber and other tech startups across the US - Autonomy to manage your own sourcing pipeline once you're up to speed - Room to grow with a company that is expanding its client base and team - including a path toward full-cycle recruiting HIRING PROCESS We've designed a straightforward process that respects your time and lets your actual skills shine: - Async video - 2–3 minutes recorded - Intro call with our Founder - mutual fit check - Work sample task - a short sourcing exercise to show us how you think and work - Behavioral interview - structured conversation focused on your experience and approach - Reference check + offer We review applications on a rolling basis. Apply early. We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Tokyo, Japan Role Overview The Partner Engineer (PE) is a high-impact, strategic technical sales leader  responsible for end-to-end technical lifecycle and enablement of the assigned partners, managing both pre-sales and post-sales engineering activities. In this role, you will act as the single technical point of contact as the trusted advisory for your assigned partners, driving technical validation during the sales cycle, architecting their delivery readiness and ensuring ongoing Partner Success. The role focuses heavily on driving value-based solution selling to accelerate the adoption of Cloudflare platform with focus on Cloudflare One (SASE/SSE) and AI Infrastructure (Workers AI / AI Gateway). By cultivating deeply technical champions within the partner organization, aligning architectures to tangible business outcomes, optimizing post-sales delivery and building joint managed services offering, you will directly expand and influence the pipeline to maximize Partner-Influenced Opportunity (PIO) revenue. Key Responsibilities 1. Pre-Sales Engineering & Champion Building Technical Alignment, Discovery & Enablement: Own the technical relationship with Partners to align on building joint Go-To-Market (GTM) strategies. Align, build, and accelerate partner technical capabilities, enabling them to lead deep technical discovery and architectural design to independently sell scalable solutions leveraging the Cloudflare Platform with a strong focus on AI and Cloudflare One (CF1). Technical Account Plan Ownership: Own and drive the end-to-end Technical Account Plan (TAP) for assigned strategic partners.  Act as the primary architect mapping partner business goals to technical execution milestones, ensuring continuous alignment on CF1 and AI adoption targets. Building Technical Champions: Identify, enable, and cultivate key technical advocates and "Champions" within the partner organization to scale Cloudflare expertise independently, generate Partner-Influenced Opportunities (PIO), and empower them to deliver high-value professional services around Zero Trust and AI application security. Driving PIO via Next-Gen Architectures: Collaborate with sales teams to proactively source, qualify, and expand PIO through strategic architectural alignment, focusing on migrating legacy network architectures to CF1 and integrating secure AI solutions. Deal Support & Qualification: Enable partners' technical validation, proof-of-concept (PoC), demo, pipeline generation, and pipeline acceleration capabilities. Identify joint pursuit accounts, facilitate strategic technical account planning, and deliver cutting-edge solution architecture sessions for Named Partners 2. Accelerate Services Delivery ASD Partner Journey Ownership: Own the ASD partner journey to ensure partners possess the advanced capabilities required to deploy, manage, and support the Cloudflare platform and AI application workloads seamlessly. Joint Services Offering Acceleration with strong focus on CF1 and A1: Build and co-develop joint services catalogues with key partners, accelerating the creation and launch of their own Cloudflare-focused services offerings, managed CF1 SASE practices, and AI security assessments. Service Monetization & Performance Metrics: Enable partners to embed CF1 and Workers AI capabilities into their own managed security portfolios to shorten time-to-market, protect client AI pipelines, and maximize profitability. Develop, manage, and track key performance indicators (KPIs) to measure and improve the effectiveness of these partner service deliveries Technical Account Management & Architectural Health: Act as the escalated technical point of contact to ensure long-term architectural health, utilizing telemetry and proactive design to move the partner relationship from reactive to strategics for Cloudflare. 3. Automation AI Agents & Continuous Innovation Leverage Autonomous AI Tools: Champion the use of Cloudflare OS and AI tools (Agent PAT and Agent Echo) to automate standard, repeatable technical tasks, optimizing operational efficiency and freeing up bandwidth for high-touch, strategic partner engagements.AI & CF1 Product Enhancement Feedback Loop: Engage partner champions in the Partner Technical Advisory Council (PTAC) to give them early access to beta software, capture raw product feedback, and drive joint co-innovation on CF1 features and emerging AI products. Cross-Functional Enablement: Participate in continuous cross-training programs to maintain peak proficiency in both pre-sales scoping and post-sales service deployment across the entire Cloudflare One and AI ecosystem. Required Qualifications & Experience 8+ years of technical, partner-facing experience (e.g., Systems Engineer, Solutions Architect, or Technical Account Manager) in cybersecurity, cloud infrastructure, or networking. Strong technical depth in Cloudflare One (CF1) or equivalent SASE/SSE architectures, Zero Trust, DNS, and application security, alongside hands-on familiarity with AI deployment, AI Gateway, LLM orchestration frameworks, or vector databases. Proven track record of developing technical talent or building "champion" programs within partner organizations, specifically driving adoption of complex cloud networks and AI technologies. Enterprise Architecture & Project Management: Deep understanding of enterprise IT, multi-cloud, and hybrid cloud environment while managing complex projects with multiple stakeholders Demonstrated ability to manage the technical lifecycle of a deal from initial pre-sales discovery and CF1/AI PIO generation through post-sale service delivery. Strong communication skills with a track record of presenting complex CF1 architectures and AI-driven use cases to partner leadership and technical teams alike. Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid JOB ADVERT Senior Software Engineer, AI Enablement The role & impact You'll join a small team that builds the tools, platforms and best practices helping engineers across Xero work with AI. Rather than shipping something once and moving on, you'll own it end to end from early experimentation through to production, including the run books, monitoring and rollback thinking that keep it reliable once real engineers depend on it day to day. This is a role with real influence. You'll help shape the technical direction of an internal skills marketplace and AI distribution platform used across the wider engineering organisation, work directly with vendors like AWS, Microsoft and GitHub on technology that isn't public yet, and help guide and challenge a team that's still early in its AI journey. The team & how they connect The AI Enablement team sits within Engineering Experience and focuses on helping product engineering teams work faster and better with AI through platforms, tooling and practical guidance rather than just standard tooling. It's a close-knit team, spread across Melbourne, Sydney and the Sunshine Coast, with a product manager based in Wellington, who stay connected through regular syncs and a genuinely collaborative way of working despite the distance. Initially, you will focus on - Our current stack is C#, .NET and AWS, with Python and TypeScript picked up along the way for AI tooling - Building an internal skills marketplace and a distribution platform for AI tools used across Xero's engineering org - Developing guidance and best practice for authoring agent skills, including agents for remediation tasks - Collaborating directly with AWS, Microsoft and GitHub on early-access technology not yet available in market Where and how you can work You can be based anywhere in Australia, and we're also open to candidates based in New Zealand. The team works in a hybrid way and is used to connecting across time zones, with regular in person boost days to come together, plan and collaborate as a team. Here are some of the things we're looking for, for this role - You bring hands-on software engineering experience, ideally with C#, .NET and AWS — if your background is elsewhere, we're still keen to talk, as good engineers pick up new stacks quickly - You've built internal tools or platforms that other engineers genuinely relied on - Production discipline matters to you: You write runbooks, set up monitoring and think through rollback before anything goes live - You communicate clearly and know how to bring people along with an idea, not just ship code quietly in the background - You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading - You can challenge a decision directly and respectfully, and you learn new things in a structured, quality-focused way Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Mexico City; Lima; Almaty; Buenos Aires; Santiago; São Paulo; Bogotá; Belgrade Workplace: Remote Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT LAVENDO Lavendo is a US-based boutique recruiting agency specializing in sales, GTM, and tech roles for fast-growing startups and tech companies. We're a small, close-knit remote team who care deeply about results, relationships, and doing great work. We move fast, take ownership of our work, and genuinely enjoy what we do. If that sounds like your kind of environment, we'd love to hear from you. THE ROLE We're looking for a Recruiter to join our team and help us find and place exceptional candidates for our clients. This is a full-cycle role - you'll be responsible for outbound sourcing, screening candidates, managing relationships, and driving placements from first outreach to signed offer. This is a remote, flexible role. We ask that you're available for team syncs and client calls during US Pacific Time hours, with overlap until at least 3 PM PT (San Francisco time). You don't need years of recruiting experience to apply. What we care about most is that you're thoughtful, motivated, coachable, and take ownership of your work. We'll teach you the rest - including every tool in our stack. WHAT YOU'LL DO - Proactively source candidates using outreach tools, social media, and creative sourcing strategies - Conduct HR screening calls and assess candidate fit for open roles - Manage candidate pipelines and keep records up to date - Collaborate with teammates and communicate clearly with clients and candidates - Meet weekly activity targets and monthly placement goals - Share ideas, flag issues early, and contribute to team improvements - not just execute tasks YOU'LL THRIVE HERE IF YOU - Speak fluent English - you'll be conducting calls, writing outreach, and communicating with US professionals daily. This is a hard requirement. - Are genuinely proactive - you notice what needs to be done and take initiative without waiting to be asked - Have a strong sense of ownership - you treat your roles and candidates with care, as if they're your own responsibility - Are coachable and curious - you welcome feedback, ask good questions, and enjoy learning - Care about results - you're focused on placements and real outcomes, not just checking boxes - Are collaborative and easy to work with - you support teammates, share knowledge, and contribute to a positive team environment - Have 0-3 years of experience in any outbound or client-facing role - sales, customer success, account management, or recruiting (a plus but not required) WHAT WE OFFER - Competitive base salary based on your experience and local market (typically ~$800-$1,600/mo) + commission from your hires - the more you place, the more you earn - Deel contract for simple, reliable, international payments (1099 contract) - A structured work environment with daily team syncs, weekly team trainings, and regular 1:1s - A real team - not a solo gig. We collaborate on Slack daily and support each other's work - Hands-on onboarding and coaching from an experienced US-based recruiter - A modern, best-in-class recruiting tech stack - we use top tools and autonomous AI agents, and will train you on everything: Ashby, Juicebox, Metaview, Slack, Perplexity, Claude, and more - Work with exciting clients - high-growth ML, AI Infra, Cyber and other tech startups across the US - Autonomy to manage your own pipeline once you're up to speed - Room to grow with a company that is expanding its client base and team HIRING PROCESS We've designed a straightforward process that respects your time and lets your actual skills shine: - Async video - 2–3 minutes recorded - Intro call with our Founder - mutual fit check - Work sample task - a short sourcing exercise to show us how you think and work - Behavioral interview - structured conversation focused on your experience and approach - Reference check + offer We review applications on a rolling basis. Apply early. We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.