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Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies, behaviors, and daily lives.   WHOOP Labs is the on-site research facility for product development and innovation at WHOOP. We conduct human-centered hardware and algorithm research to create best-in-class product experiences that work for all members.   WHOOP is hiring a Researcher II to support research planning and execution on weekends, supporting critical data collection windows for participant diversity and expanded access. This role will cover a broad range of research studies for algorithm training, hardware validation, and design testing. While your home base will be WHOOP’s on-site product research facility, WHOOP Labs, studies will include field collections across the metro Boston area to widen access for diverse communities. Your efforts will support the organization as we continue to develop a best-in-class experience and lead the wearables industry.   *This role is fully onsite at our Boston, MA office and follows a 4x10 schedule, with four 10-hour workdays each week, Friday through Monday, and three days off Tuesday through Thursday.   RESPONSIBILITIES - Execute testing protocols across multiple concurrent studies, owning research execution on weekends and collaborating with other researchers on Friday and Monday to ensure consistent protocol administration across all days and shifts. - Own research documentation for weekend hours, collaborating with other researchers on Friday and Monday to ensure effective handoffs and information transfer across shifts. - Provide coaching and guidance to participants during exercise protocols, balancing data integrity, research best practices, and participant experience - Create a supportive and welcoming environment for participants engaging in a range of research tasks, from exercises to device interactions - Manage the use, troubleshooting, and upkeep of sensitive data collection equipment and prototype devices - Develop strong working knowledge of WHOOP’s research platform tooling suite, with the ability to troubleshoot issues in real time—including during active data collections—and problem-solve on the fly - Develop junior researchers by providing technical coaching, delegation, constructive feedback, and growth opportunities - Own daily lab management tasks required for data collections to be successful, such as laundry, equipment cleaning, material organization, and overall lab readiness - Serve as an ambassador for WHOOP Labs and the WHOOP brand   QUALIFICATIONS - Bachelor’s Degree in human physiology, biomedical engineering, psychology, HCI, or similar - Professional experience in research & development, human subjects research, or a related field, including 2+ years of experience conducting human subjects research - Strong technological background and working knowledge of data management systems including the Google Suite - Familiarity with research platform tools and hardware testing environments preferred - Strong interpersonal communication skills with a savvy for working as part of a highly collaborative, fast-paced team - Ability to manage multiple priorities and adapt quickly in dynamic research settings - Prior experience in customer service or other public-facing roles a plus - Strong written, verbal, and presentation skills, with confidence giving and receiving feedback across disciplines   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $75,000 - $95,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

About the project The Project is a Smart City video-surveillance platform. The platform handles video conversion, integrates with storage, and uses an event-driven architecture. Deployed across several countries, it focuses on scalability, observability, and reliability. Stack Language & Frameworks: Kotlin, Spring Boot, Spring MVC, Spring Security Database: PostgreSQL, ClickHouse, JPA / Hibernate, Spring Data JPA Security: JWT, Spring Security, RBAC, permission-based authorization Async: Kotlin Coroutines Testing: JUnit, MockK, Testcontainers Infra: Docker, Kubernetes, Linux Monitoring: Prometheus, Grafana, logging, metrics, tracing Docs: OpenAPI / Swagger Responsibilities Develop and maintain backend services in Kotlin / Spring Boot; design and implement REST APIs and business logic; work with PostgreSQL / ClickHouse, JPA / Hibernate and optimize database access; identify and resolve N+1, lazy-loading and transaction-related issues; design and implement RBAC and permission-based authorization; implement tenant- and resource-level access control; work with JWT authentication and Spring Security; deploy and troubleshoot services in Docker / Kubernetes environments; refactor and optimize existing Kotlin code; write unit and integration tests; participate in code reviews and backend architecture decisions. Must-have 2+ years of commercial backend development experience with Kotlin / Spring Boot (Middle+ level); strong Kotlin knowledge and good understanding of Java ecosystem; production experience with Spring Boot / Spring MVC; solid understanding of Spring IoC, DI, proxies and @Transactional; practical experience with PostgreSQL and JPA / Hibernate; understanding of persistence context, lazy loading, N+1 and dirty checking; experience with Spring Security and JWT; good understanding of roles, permissions and RBAC; understanding of resource-level authorization and multi-tenant access control; hands-on experience with Docker, Kubernetes and Linux; ability to analyze and optimize existing code and database queries; solid understanding of collections, algorithmic complexity and basic performance trade-offs. Nice-to-have ClickHouse production experience; Kotlin Coroutines / Flow; experience with high-load or distributed backend systems; ABAC / policy-based authorization experience; Testcontainers; Kafka / RabbitMQ; Kubernetes operations and troubleshooting; Prometheus / Grafana / distributed tracing; OAuth2 / OpenID Connect; experience designing multi-tenant systems. Offer Strong engineering team and real impact on backend architecture; modern Kotlin / Spring stack, CI/CD, Kubernetes and code reviews; opportunity to work on security- and performance-critical backend components; flexible schedule; competitive compensation based on experience and interview performance.

Location: Berlin, Germany 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 Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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: Zurich, Switzerland 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 Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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: 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 Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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: Bratislava Workplace: hybrid Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency. Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. As a Software Engineer, you’ll help us push the boundaries of what legal tech can do. You’ll build web applications and core backend services that connect with AI models like GPT, Claude and Gemini.   Working at Filevine is a mix of solving real-world customer problems, owning features end to end and shaping how we build software at scale. Key Responsibilities Take ownership of features from idea → release → maintenance Partner with Product to shape solutions before they’re built Contribute to a codebase that stays stable, readable, and fun to work in Build across the stack - UI, APIs, backend services (no “that’s not my part” energy) Collaborate across teams to deliver on time without unnecessary drama Review code thoughtfully and give feedback that helps the whole team level up Requirements 1+ years building and shipping software products from start to release to maintenance Experience contributing to projects and designing solutions that can scale with use Comfortable working across the stack - more focused on solving problems than guarding territory Thrives in a remote, collaborative environment: async communication, clear thinking, no ego Able to work with operations and customer-facing teams to turn messy realities into clean solutions Familiar with or open to using: Python, Typescript, React, Svelte, Kubernetes, AWS (we care more about engineering skill than specific tools) Hybrid mode - 1 day per week in Bratislava office is required Compensation starts at 4,000 EUR per month, with the final offer determined by the candidate’s seniority and experience. This opportunity is for independent contractors and is not intended to establish an employment relationship. Contractors are responsible for their own taxes and compliance with applicable laws in their jurisdiction. This role is open exclusively to candidates currently residing in, or willing to relocate to, Czechia or Slovakia with the legal right to work in these countries. Unfortunately, we are unable to consider applications from candidates based outside of these locations due to operational and regulatory requirements Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.

Location: Europe; Serbia; Poland; Georgia; Remote - Slovakia; Remote — Romania; Lithuania; Latvia; Ukraine; Estonia; Limassol; Slovenia Workplace: Remote REMOTE | EUROPE | E-MONEY & PAYMENTS REGULATION (EMI/PSD2) | B2B CONTRACT About the Client Our client is a global fintech operating at the intersection of crypto and traditional payments. It builds products that help people and businesses buy, sell, and exchange cryptocurrency, serving millions of customers across 180+ countries. It is self-funded, with a distributed team across Europe, Ukraine and the US. It holds a MiCA CASP authorisation and a Payment Institution (PSD2) licence in the EU, one of a small group in Europe holding both, alongside US and Canadian registrations. Two EMI authorisations are now in flight. About the Role This role owns the e-money and payments side of the regulatory pipeline: live EMI regulatory workstreams in the EEA and the UK (FCA), the safeguarding framework at the centre of both, and the post-authorisation obligations. You report to the Global Chief of Compliance. The core of the work is regulatory drafting and analysis: governance and safeguarding narratives, internal control system descriptions, policies and procedures, regulatory gap analyses and responses to regulators, written independently and defensible under regulatory challenge. This is not an MLRO or transaction-monitoring role; day-to-day AML operations sit with the MLRO and the analyst team. What You’ll Own - EEA EMI regulatory workstream with the national regulator: governance and internal control system descriptions, policies and procedures, own funds and wind-down documentation, regulator correspondence and RFI cycles - UK EMI regulatory workstream with the FCA: governance, safeguarding under the FCA’s current safeguarding rules, and the AML governance narrative for the file - The safeguarding framework across both perimeters: method, segregation, reconciliation and evidence, breach reporting, audit readiness - Post-authorisation implementation and evidencing of the EU Payment Institution (PSD2) licence and its obligations - Regulatory assessment of payment products, payment-flow changes, agent and distributor arrangements, and outsourcing - Gap analyses, thematic reviews, remediation plans, and verification that approved controls operate in practice Must Have - 5+ years in regulatory compliance (authorisation, licensing, policy and governance drafting), including 3+ years inside an EEA or UK e-money or payment institution authorised by a national competent authority. Operational AML or transaction-monitoring experience alone does not meet this requirement - Hands-on experience of an e-money or payments authorisation framework (EEA EMI/PI under EMD2/PSD2, or UK EMRs/PSRs), taken through submission and regulator review - You have personally drafted governance/ICS narratives, policies or safeguarding documentation for an authorisation file, and can name the regulator and what it pushed back on - Safeguarding: you have drafted or owned a safeguarding framework and can explain method, reconciliation and evidence - Working knowledge of EMD2/PSD2 and the UK e-money and payments regime: authorisation conditions, own funds, agents and distributors, outsourcing, wind-down - Working knowledge of DORA, AMLD/FATF standards, sanctions, outsourcing and governance requirements - Ability to navigate primary legislation and guidance independently, and to tell mandatory requirements apart from risk appetite - Fluent professional English with excellent written drafting - European engagement location with a minimum four-hour overlap with the European working day Nice to Have - An authorisation granted on a file you drafted - Safeguarding audit experience, including remediation of a qualified opinion - Payment-system access or SEPA scheme adherence handled from the compliance side - Genuine crypto exposure alongside payments (MiCA/CASP) - Awareness of PSD3/PSR and the AMLA/AMLR transition - ICA Diploma in GRC, CAMS or comparable What We Offer - Remote-first with high autonomy and minimal micromanagement - Direct collaboration with the Global Chief of Compliance and senior leadership - Work on one of Europe’s most interesting regulatory portfolios: MiCA CASP and PI already granted, with UK and EU applications in the pipeline - Your drafting goes straight to regulators, so your impact is real and visible - Self-funded, stable company without investor pressure - Medical insurance, L&D budget, performance-based financial bonus, English classes, regular team-building activities - Fintech and crypto domain: technically and legally complex, always evolving - A growing Global Compliance Team where senior expertise is trusted and heard

Location: Poland Workplace: remote Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation.With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a  Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for a Regional Marketing Manager, you’ll act as the primary driver to execute integrated marketing campaigns that support the various business goals identified in our annual operating plan. You will be responsible for ideating, facilitating, and executing campaigns that drive demand generation and increase brand recognition for our market-leading technology solutions You should be a strong team player with excellent communication skills, eager to learn and grow, and ready to make an impact from day one. Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated.The role is based in Warsaw, Poland.Responsibilities:Planning, creating and executing high-performing marketing programs.Support and align with the sales team’s priorities and focus on driving pipeline.Understand and deploy different strategies and plans to reach new prospects and drive opportunities expansion.Orchestrate multichannel campaigns, leveraging channels and tactics such as digital, social media, web, virtual and in-person events, external exhibitions, email and collaboration with 3rd party agencies. Also, support and execute account-based strategies and programs.Plan, coordinate, and deliver complex marketing initiatives, ensuring effective cross-functional collaboration to achieve business objectives.Set goals and define metrics for each marketing campaign, including lead generation, conversion rates, and pipeline impact.Track and analyze campaign performance, conduct post-campaign evaluations, and provide insights and recommendations to continuously optimize future marketing initiatives.Requirements:3+ years of B2B marketing experience.Fluency in written and conversational English.Strong campaign orchestration and experience working with cross-functional teamsHands-on experience prioritizing running multiple initiatives, campaigns, and deliverables simultaneously.Self-motivated, who can work independently and proactively to resolve issues and take ownership of tools and processes with minimal supervision.It would be a big plus if you have:Marketing experience in SaaS or enterprise software.Experience planning and executing marketing initiatives around large-scale industry conferences and external events.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Remote - Europe 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 We are building a high-performance AI inference platform for developer-native teams running latency- and cost-sensitive workloads at scale. In AI infrastructure, PoC success does not guarantee production success. This role ensures that what we commit to is scalable, efficient, and aligned with platform strategy. We are looking for a Senior Sales Engineer to become a foundational technical partner to our customers and a force multiplier for Sales and Engineering. You will shape complex AI workloads from first discovery through production feasibility validation, ensuring technical rigor, economic viability, and scalable architecture decisions. You will operate at the intersection of customer ambition, engineering reality, and commercial growth, influencing: Revenue quality Engineering focus Product evolution Customer trust at scale You’re welcome to work remotely from Europe. Your responsibilities will include: Strategic Technical Discovery Lead deep technical discovery with engineering teams and technical founders Understand model requirements, traffic expectations, latency constraints, GPU economics, and system dependencies Translate customer ambition into production-feasible architectures Identify hidden technical risks early Commercial Acceleration Partner tightly with Sales on strategic deals Influence deal strategy through architectural clarity Prevent misaligned commitments before engineering allocation Increase PoC-to-production conversion by ensuring technical realism PoC Architecture & Validation Define measurable success criteria (latency, TTFT, throughput, cost envelope) Classify workload complexity and required optimization depth Align appropriate resources (ML Solution Architects, engineering, GPU capacity, etc.) Drive structured Go / No-Go decisions Prevent uncontrolled customization or hidden R&D Pattern Recognition & Platform Leverage Identify recurring configuration patterns across customers Quantify demand for advanced optimizations (quantization, speculative decoding, etc.) Surface structured insights to Product and Engineering Help evolve platform capabilities based on real workload data We expect you to have: Deep understanding of AI inference systems and GPU-backed infrastructure Experience with LLM workloads and performance-sensitive environments Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM). Ability to reason about latency, throughput, cost, and architecture tradeoffs Strong customer presence with engineering-first organizations Comfort challenging assumptions and pushing back constructively Commercial awareness – you understand that engineering time is a strategic resource Preferred technical stack : Programming Languages– Python Frameworks and Libraries– vLLM, SGLang, TensorRT-LLM, OpenAI/Anthropic SDKs Frameworks for Agentic Pipelines : Langchain / Langsmith / smolagents / equivalent API and Web Frameworks– FastAPI, Flask MLOps and DevOps tools– Kubernetes (K8s), Docker, Git Cloud Platforms– AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) What success looks like : Strategic deals are technically sound before engineering engagement PoCs are clearly scoped and economically justified Engineering capacity is allocated predictably Conversion to production improves Customers view you as a trusted architectural advisor 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: UAE Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a highly motivated, self-starter Strategic Account Executive who is passionate about voice technology and how it is changing businesses. We don't just sell a product or custom-level solutions; we are partnering with our strategic enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Build and manage a growing portfolio of strategic enterprise accounts in the UAE to help ElevenLabs meet its revenue goals. - Identify and develop high-value business opportunities that align with ElevenLabs' product offering and roadmap. - Generate leads, negotiate complex contracts and close sales in collaboration with the Growth team. - Be responsible for KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team. Who you are We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You'll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. What you bring - Proven track record of meeting & exceeding sales targets in a fast-paced environment, selling into large and strategic enterprises in the UAE - +10 years of previous experience in sales in a SaaS organisation, with experience managing strategic, complex, deal cycles. - Extensive experience working in the UAE - Expertise or willingness to learn everything about Voice AI industry and how ElevenLabs' solution can help. - Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization. - A hybrid of customer & product-driven mentality that prioritises client impact, satisfaction & scale. - The role is based in the UAE - Plus: Proficiency in Arabic. #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Tbilisi, Georgia On behalf of UrbanTech Client #1 , SD Solutions is looking for a talented Senior Platform Engineer you’ll own and evolve our AWS production infrastructure and build internal services and AI-powered automations that make our teams more effective. This is an infrastructure-focused engineering role requiring deep AWS and Terraform expertise, strong production ownership, and the ability to build reliable platform capabilities. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Build and evolve platform services that improve productivity, reliability, and developer experience across the company. Develop AI-driven tools and automations , including internal assistants, workflow orchestrators, and intelligent internal integrations. Own and operate our production environments on AWS end-to-end, using Terraform to deliver secure, scalable, reliable, and cost-efficient infrastructure. Create self-service capabilities that allow teams to move independently without relying on manual processes. Integrate platform components with our .NET and Python environments running on AWS. Collaborate with Platform, Security, DBA, Product, and business stakeholders to deliver impactful, cross-organizational solutions. Improve engineering efficiency through reusable templates, best practices, and inner-source contribution models. Requirements: 6+ years of engineering experience, including significant experience in platform infrastructure, DevOps, site reliability engineering, or cloud engineering. Deep hands-on expertise with AWS services and architecture, including EKS, Lambda, ECS, IAM, S3, networking, security, and high-availability design, together with advanced Terraform experience. Strong proficiency in Python ; good familiarity with .NET . Experience building or integrating AI-driven agents, LLM-based tools, or intelligent automation . Proven experience owning production environments, including infrastructure changes, deployments, availability, observability, incident response, security, scalability, and operational maintenance. Excellent collaboration and communication skills with both technical and non-technical partners. A mindset geared toward automation, scalability, and secure-by-default engineering . About the company: A mobile payments and driver services platform providing turnkey parking solutions to local governments and parking operators. The company has accumulated millions of registered users and achieved widespread adoption in its home market, becoming a go-to app for parking payments and vehicle-related services. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: US Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION   Remote - US (Washington, DC preferred)   ROLE   US regulatory engagement is Morpho's top legal priority. The SEC, CFTC, Treasury and FinCEN are writing the rules that will govern onchain lending, and the volume of rulemakings, requests for comment and staff engagement now exceeds what Legal can cover alongside its other work. Reporting to the General Counsel, this role owns Morpho's US policy pipeline end to end, from tracking rulemakings to drafting submissions and leading meetings with agency staff, Congress and industry coalitions.   RESPONSIBILITIES     - Track SEC, CFTC, Treasury and FinCEN rulemakings, guidance, staff statements and enforcement relevant to onchain lending, and maintain a live calendar of comment deadlines with a recommended posture for each.       - Lead the drafting of comment letters, responses to requests for comment and other written submissions, pulling in input from Protocol, Product, Research and outside counsel, and prepare them for General Counsel sign-off.       - Prepare and lead meetings with agency staff and commissioner offices, including briefing materials, talking points and follow-up submissions.       - Represent Morpho in trade association working groups and industry coalitions, and coordinate Morpho's input into joint filings.       - Engage congressional offices and committee staff on legislation and its implementation where it affects DeFi lending.       - Manage outside policy counsel and consultants day to day: scope, deliverables and spend.       - Brief leadership and product teams on US policy developments in short written updates, and flag implications for the protocol, products and external messaging.     WHAT SUCCESS LOOKS LIKE   FIRST 30 DAYS   You can explain Morpho Markets, Morpho Vaults and the role of curators accurately to a non-technical regulator. You have built a tracker of open SEC, CFTC, Treasury and FinCEN items with a recommended posture for each, joined the relevant working groups, and contributed to at least one live comment letter or coalition submission.   FIRST 3 MONTHS   You own the comment pipeline end to end: first drafts reach the General Counsel on schedule with no missed deadlines. You have prepared and led at least two agency meetings, send a short monthly US policy update to leadership, and have working relationships with staff at the SEC, the CFTC and key congressional offices.   FIRST 6 MONTHS   Agency staff and coalition partners treat Morpho as a credible, technical voice on DeFi lending, and Morpho's positions show up in coalition filings and, where possible, in staff guidance or final rules. Outside counsel runs against clear deliverables and within budget, and you have drafted a 2027 US policy plan for General Counsel approval.   MUST HAVE SKILLS & EXPERIENCE     - 5 to 8 years working on SEC or CFTC matters, at an agency, in a law firm regulatory practice, at a trade association or on an in-house regulatory or policy team. Prior SEC or CFTC staff experience is strongly preferred.       - Strong working knowledge of federal securities and commodities law and of the rulemaking process: notice and comment, staff guidance, no-action and exemptive relief.       - Excellent writing, with comment letters, regulatory submissions or similar work product to show for it.       - Existing relationships with agency staff, congressional staff or industry coalitions.       - Able to learn how onchain lending works and explain it clearly and accurately to a non-technical audience.       - Sound judgment on when to escalate, and comfortable preparing positions for sign-off rather than setting them alone.       - Strong ownership and autonomy: doesn't wait to be told.       - Clear and crisp async communication across a team split between Paris, New York and DC.       - Comfort operating in fast-changing, ambiguous contexts.       - Team-first mindset, low ego. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities Compliance Requirements TranslationLiaise with local compliance teams across global regions to develop a deep understanding of the security technical requirements under various regulatory frameworks (e.g., EU DORA, Turkey CMB/Tubitak, Hong Kong SFC). Translate compliance requirements into actionable security platform product requirements and technical solutions. Audit & Certification SupportLead or participate in security audit preparation for compliance entities, including internal audits, external audits, penetration test report reviews, and audit evidence compilation and delivery — ensuring accuracy and timeliness of all audit materials. Security Operations GovernanceDrive the implementation of security policies, processes, and standards across compliance entities, covering control domains such as vulnerability management, log monitoring (SIEM), antivirus coverage, access rights reviews, and security awareness training. License Application SupportParticipate in the security-related components of financial license applications across regional compliance entities; author technical documentation including security architecture descriptions, control matrices, and risk assessments. Security Metrics ManagementAssist in establishing and maintaining security operations metrics frameworks for each compliance entity (coverage rates, SLAs, compliance rates, etc.); produce regular security operations reports. ────── Requirements Bachelor's degree or above in Computer Science, Information Security, or a related field; 5+ years of experience in information security, with at least 3 years focused on security compliance governance, security auditing, or security operations. Solid familiarity with mainstream security compliance frameworks and regulatory requirements such as ISO 27001, SOC 2, PCI DSS, and GDPR; knowledge of financial industry security regulations (e.g., DORA, MAS TRM) is a plus. Strong security technical foundation with the ability to understand the working principles of security products and controls including SIEM, vulnerability scanning tools (Tenable/Orca/Nessus), EDR/antivirus, WAF, and IAM. Hands-on experience participating in security audits (internal or external), with the ability to independently complete audit evidence preparation, control gap analysis, and remediation tracking. Fluent in both Chinese and English; able to read regulatory documents in English, produce security compliance technical documentation, and communicate seamlessly with overseas teams. Strong cross-functional communication and project execution skills; able to collaborate effectively across multiple time zones and cultural backgrounds. ────── Bonus Points Prior security compliance experience at a cryptocurrency exchange, payment institution, large internet company, or fintech firm. Experience building multi-region / multi-site security compliance frameworks (not limited to a single region). Familiarity with security platform/product development; ability to derive platform feature requirements from compliance needs. Experience as an ISO 27001 internal auditor or participation in a SOC 2 Type II audit. Holds certifications such as CISSP, CISM, CISA, or ISO 27001 LA/LI. Direct hands-on experience with specific regional regulatory frameworks such as DORA, Tubitak, or SFC. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: US (EST) Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION   Hybrid New York or Remote (EST timezone). ROLE   Morpho's commercial activity is growing fast, and the partnerships, integrations and vendor relationships behind it now outpace what Legal can cover. Reporting to the General Counsel, you will own the contract lifecycle for our partnerships end to end (intake, standard paper, signature, post-signature obligations) and build the tooling behind it, so that standard deals close without waiting on senior lawyers.   RESPONSIBILITIES     - Deal desk: intake and triage of partnership team requests, NDAs on our paper and the counterparty's, and first drafts and negotiation of our standard partnership and incentive agreements, through to signature packs and signing summaries.       - Post-signature tracking: a single contract repository linked to our CRM, and an obligations register (milestones, grant tranches, exclusivity periods, notice windows, renewals) with alerts to deal owners and Finance. Be the go-to person for the conditions of signed deals.       - Legal ops infrastructure: negotiation playbooks, a clause library, a consolidated set of templates, a Legal FAQ for recurring partner questions, AI workflows and agents for intake, drafting and review, outside counsel budget tracking, and a monthly report on legal throughput.       - Vendor and compliance ops: standard vendor and SaaS terms, renewals and insurance calendar, due diligence and security questionnaires, internal policy upkeep and data room hygiene.       - As capacity allows: corporate housekeeping for Morpho's legal entities, and support on employment, IP and privacy matters with outside counsel.       - Work daily with the partnership team, Finance, RevOps, BizOps and outside counsel.     WHAT SUCCESS LOOKS LIKE   FIRST 30 DAYS   You understand Morpho's products and main commercial relationships, own the partnership legal queue and all NDAs, and have read every live partnership agreement and our standard templates.   FIRST 3 MONTHS   Counterparty-paper NDAs are turned around within 2 working days. Every signed agreement sits in one repository linked to its CRM record, and the obligations register is live for all agreements in force, with alerts to deal owners and Finance.   FIRST 6 MONTHS   Standard template deals run without senior lawyer involvement, except for listed deviations. Partner categories are consolidated into an agreed set of templates, each with a playbook. You deliver a monthly throughput report (volume, cycle time, deviations), vendor renewals and insurance sit on a single calendar, and you have proposed the 2027 legal operations roadmap.   MUST HAVE SKILLS & EXPERIENCE     - Legally trained (qualified lawyer or equivalent law degree), with 5 to 8 years in commercial contracting, part of it in-house at a fast-growing technology company.       - Has negotiated partnership, integration or licensing agreements alone, on both own and counterparty paper. US-style commercial drafting is essential.       - Has built legal operations in practice (contract lifecycle tooling, playbooks, intake, reporting), not only used them.       - Builds with AI tools: writes prompts and skills, automates document workflows, and knows where review by a lawyer is still required.       - Comfortable working with Finance on payment mechanics, milestones and budgets, and with a CRM as the source of truth.       - Able to hold a position with a deal team under time pressure.       - Clear, concise communication with non-lawyers.       - Strong ownership and autonomy at startup pace with limited support: doesn't wait to be told.       - Comfort operating in fast-changing, ambiguous contexts.       - Ability to work across US Eastern time zones with shifting priorities.       - Team-first mindset, low ego. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: European Union; Moldova; Latvia; Albania; North Macedonia; Slovakia; Malta; Croatia; Czech Republic; Slovenia; Romania; Spain; Bulgaria; Kazakhstan; Poland; Hungary; Montenegro; Estonia; Ukraine; Cyprus; Lithuania; Greece; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE Ruby Labs is hiring an experienced Senior Data Analyst to join our fast-paced, high-ownership environment. You will drive analytics across subscription products and web funnels, partnering with Product, Marketing (UAM), and Data teams to improve conversion, retention, and LTV- while ensuring trusted tracking, strong data models, and decision-ready reporting. This role is hands-on and cross-functional: you will own analysis from problem framing to recommendation, and you’ll mentor analysts while collaborating closely with Data Engineering/BI to keep data foundations reliable. RESPONSIBILITIES - Partner with Product, Marketing, and Data Teams to define KPIs, success metrics, and decision criteria. - Create new dashboards, maintain and improve existing reporting (e.g., Product Reports, Marketing Performance Reports), ensuring clarity and trust. - Deliver full-funnel analysis, identify bottlenecks, and propose improvements or A/B test ideas. - Analyze payment and subscription performance across checkout, trial-to-paid conversion, renewals, failed payments, refunds, and chargebacks; identify revenue leakage and recommend improvements. - Partner with Product, Engineering, and Finance to investigate payment issues and ensure payment metrics and revenue reporting are accurate and consistent. - Lead user behavior analysis (journeys, drop-offs, activation/aha moments) using event data. - Monitor key metrics and anomalies; escalate issues and communicate updates to stakeholders with defined SLAs - Own and maintain event taxonomy and tracking structure (events, properties, naming conventions); validate implementation and business logic alignment. - Design and build robust, reusable SQL data models (clean layers, consistent definitions, performance-minded queries). - Mentor Junior/Middle Analysts in SQL, validation, funnel/cohort analysis, and experimentation quality; provide regular feedback and guidance. - Give and receive direct, actionable feedback with peers and the Leadership Team; maintain a high bar for quality in a demanding environment. REQUIREMENTS - Degree in an analytical field (e.g., Mathematics, Data Science, Economics) or equivalent practical experience. - 3+ years of experience as a Data Analyst, with proven ownership of end-to-end analysis and stakeholder delivery. - Strong analytical and problem-solving skills; ability to identify trends, patterns, and root causes in large datasets. - Excellent verbal and written communication; ability to translate analysis into clear business actions. - Ability to think strategically and make data-driven recommendations aligned with company goals. - Strong experience in Product Analytics: funnels, cohorts, retention, LTV, churn, segmentation. - Hands-on experience with event analytics tools: Mixpanel, GA4, Amplitude, or similar - Advanced SQL - Experience with popular BI tools such as Tableau, Looker, or similar - Experience in subscription business - Hands-on experience analyzing payment and subscription data, including checkout conversion, payment approval rates, renewals, failed payments, refunds, and chargebacks. - Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment - Strong spoken and written English NICE TO HAVES - Experience in Marketing Analytics - Experience with Python, R - Experience with GCP, BigQuery - Experience with Google Ads, Facebook Ads etc - Experience with orchestration frameworks such as Airflow, dbt - Experience with git and code review process LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Colombia Our client, Retenta is a full-funnel marketing partner for iGaming brands across Latin America, covering the entire player journey - from turnkey brand launches to long-term retention. Their services span brand sponsorships, media and communication, paid acquisition, SEO, affiliates and influencers, as well as CRM and gamification built to turn first deposits into lifetime value. Perfect for those who aim to: Manage end-to-end social media channels for Our Client across Instagram, Facebook, YouTube, and TikTok; Develop, plan, and execute content calendars aligned with brand positioning, campaign goals, and local trends; Lead daily community management, including inbox monitoring, direct response, and community moderation; Conduct social listening to track brand sentiment, industry trends, viral moments, and competitor movements; Identify, recruit, and onboard relevant influencers and content creators using our internal discovery software and databases; Manage influencer relationships end-to-end: negotiate deliverables, brainstorm creative concepts, coordinate posting schedules, and ensure brief compliance; Collaborate closely with external agency partners to streamline content production and influencer execution; Track, analyze, and report key performance metrics (reach, engagement, video views, conversion) to build actionable data-driven insights. Experience you’ll need to bring: Minimum of 5 years of experience in Social Media Management and Influencer Marketing; Proven background in the iGaming/Sports Betting industry, with a solid understanding of sports culture; Experience collaborating with diverse creator profiles, including sports influencers, entertainment icons, lifestyle creators, and live streamers; Hands-on experience with social media analytics, scheduling platforms, and social listening tools; Strong track record of managing end-to-end campaign execution alongside third-party marketing agencies. It's a perfect match if you have those personal features: Strong interpersonal and negotiation skills that help you build authentic relationships with influencers, streamers, and talent agencies; A proactive and autonomous approach, taking ownership of projects, solving problems independently, and thriving in a fast-paced environment; Creativity and cultural awareness, with a deep understanding of internet culture, memes, viral trends, and sports; A data-informed mindset, using engagement metrics to evaluate content performance and optimize campaigns; Agility and resilience, managing multiple priorities at once and adapting quickly to live event dynamics or shifting business needs. Our clients offer competitive benefits to support your professional and personal growth, including: Health & Wellness Focus; Global Medical Coverage; Growth Opportunities; Benefits Programs (compensation for the gym/stomatology/psychological service & etc.); Performance-Driven Rewards; Dynamic Work Environment. Apply, and let your growth journey begin.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of over 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We're looking for a Senior Content Marketing Manager to own the strategy, production, and performance of content that positions Xelix as the authoritative voice in AP automation and financial controls. This is a role for someone who can build the systems and scale to deliver content consistently — positioning Xelix as a credible category leader, earning trust with sophisticated buying committees, and driving measurable pipeline contribution. Working closely with the Head of Marketing, Product Marketing, and Demand Generation, you will own how Xelix shows up - setting the content strategy, building the engine, and driving delivery through smart use of AI, automation, and repurposing. The role spans two connected workstreams: Thought Leadership — podcast, executive and company LinkedIn, long-form assets including whitepapers, reports and guides, and PR spanning media relations, press coverage, and earned visibility through original research and executive bylines. Campaign Content — ABM-aligned assets, persona-mapped content, and content built to earn visibility across organic and AI-powered search. What you'll be doing · Build and own a scalable content engine - structured workflows, AI-assisted production, repurposing frameworks, and fast feedback loops — designed to grow in output and quality as Xelix scales · Own content performance metrics — share of voice, content-influenced pipeline, and engagement growth — using data to continuously improve what gets made and how it gets distributed · Own and drive Xelix's thought leadership programme — podcast, executive and company LinkedIn, long-form assets, and PR - establishing Xelix as the category-defining voice in AP automation and financial controls · Work closely with Product Marketing to ensure all content is grounded in Xelix's messaging framework, product positioning, and competitive narrative — maintaining consistency across every format and channel · Partner with Demand Generation to ensure content directly fuels integrated campaigns and pipeline programmes — with assets tailored to enterprise buying committees, key personas, and how buyers research and discover solutions today What you’ll bring · 7+ years in B2B content marketing, with a proven track record of building and scaling thought leadership programmes, owning content engines end-to-end, and creating content that drives category authority and commercial outcomes · Demonstrated ability to work with executives and subject matter experts to extract insight and turn it into compelling, authentic content · Fluency across the full content mix — long-form assets, social, podcast, PR and earned media, SEO, and AI search — with the judgement to know when and how to use each · A systems mindset: experience building scalable content workflows from the ground up, using AI tools, automation, and repurposing to maximise output without sacrificing quality · Deep understanding of enterprise buyer personas, buying committees, and how to create content that resonates across a complex, multi-stakeholder sales cycle · Confident working in a high-visibility, high-opinion environment — able to bring stakeholders on the journey early, land sign-off efficiently, and consistently deliver work that hits the mark without endless iteration Nice to have · Experience ghostwriting for founders or executives - matching their voice without losing authenticity · Experience commissioning or producing original research that has generated external citations or industry coverage · Experience in fintech, finance automation, or selling into CFO or finance leadership audiences · Hands-on experience with AI-assisted content production tools · Experience building or growing a B2B community through content What Success Looks Like · Xelix is recognised as an authoritative, credible voice in AP automation — earning attention, building community, and driving a measurable link between content and pipeline · A scalable, compounding content engine is in place — producing a consistent rhythm of high-quality content across formats, tracked against share of voice and engagement growth · Xelix earns consistent external coverage and citations through original research, executive bylines, and media relations — building credibility beyond owned channels · Content is mapped to enterprise personas and buying stages, directly enabling ABM programmes and giving Demand Generation and Sales a library of assets that accelerate pipeline · Xelix earns consistent visibility across organic and AI-powered search, and executive LinkedIn presence drives measurable engagement with target audiences What we offer in return 💰 Competitive salary of £55,000 - £78,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing), with the option to roll over 3 days 🏡 Hybrid working with two days a week from our dog-friendly Hoxton office and on-site gym 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across CEE. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the CEE market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across CEE. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across CEE business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the CEE enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 7+ years of B2B sales experience in enterprise technology, preferably pharmaceuticals or life sciences A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the CEE market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in CEE Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 — €310.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.