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Location: Palo Alto, California, United States 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 As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model-and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities : Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend practical serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV -cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill/decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization queuing, request characteristics, and KV-cache locality while meeting latency and reliability targets Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism - including wide expert parallelism (WideEP) - with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring for TTFT , TPOT , tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel engineers and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves : Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM , or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication skills and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice - to - have s : Experience with quantization-aware training, post-training quantization, FP8 , INT8 , INT4 , NVFP4 , MXFP4 , AWQ , GPTQ , SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate's primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, Infiniband, or RoCE. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD 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: Palo Alto, California, United States 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 - have s : 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. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD 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: Palo Alto, California, United States 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 building an AI training and model post-training capability for frontier model improvement. This role owns the infrastructure that makes large-scale training and RL experiments possible, reliable, reproducible, and efficient. The work sits at the intersection of distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. A Senior Machine Learning Engineer owns substantial ML work end to end. They can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. They are deeply hands-on and can independently debug both model-behavior failures and distributed training failures. Your responsibilities : Design and run model-training and post-training experiments, including SFT , continued pretraining, preference optimization ( DPO /IPO/ KTO ), and RL methods such as RLHF / RLAIF , PPO , and GRPO . Build reward functions, judge models, verifiers, task environments, and evaluation sets for reasoning, coding, tool use, and agentic workflows. Create synthetic data and data pipelines, including teacher-student generation, self-play, rejection sampling, filtering, and quality scoring. Analyze model-behavior failures and turn them into targeted data, reward, or algorithm improvements. Build and maintain distributed training and RL infrastructure using frameworks such as Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, verl, slime, AReaL, or OpenRLHF. Implement and debug parallelism strategies (tensor, pipeline, sequence/context, expert, and data parallelism) and build reliable rollout, reward-serving, checkpointing, and experiment-orchestration components. Profile and improve GPU utilization, memory usage, communication efficiency, training throughput, and inference/serving performance. Design rigorous evaluations and ablations for capability, instruction following, reasoning, tool use, safety, and regression risk. Write clear experiment plans, design docs, benchmark reports, and runbooks, and partner across research and platform teams. Must-haves : Strong Python and PyTorch engineering skills, with the ability to move quickly from idea to experiment to working system. Hands-on experience across at least two of: model training, post-training/ RL , applied modeling, data pipelines, or large-scale ML systems. Ability to design rigorous experiments with baselines, ablations, metrics, and failure analysis. Practical understanding of modern LLM behavior, instruction tuning, preference optimization, and evaluation challenges. Practical understanding of transformer training bottlenecks, memory pressure, communication overhead, and checkpointing. Ability to reason quantitatively about model quality, throughput, utilization, reliability, cost, and research velocity. Strong communication skills and ability to collaborate with researchers, engineers, and leadership. Nice - to - have s : Experience with LLM post-training, RL , agents, reward modeling, synthetic data, or model evaluation. Experience with RL frameworks or pipelines such as verl, slime, AReaL, OpenRLHF, TRL , or custom PPO / GRPO / RLHF systems. Experience with Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, Slurm, or Kubernetes on large GPU clusters. Familiarity with NCCL , CUDA , Triton, Nsight, InfiniBand/ RDMA , and H100/H200/B200 clusters, or with model serving and inference optimization. Publications, open-source contributions, or production impact in LLM post-training, RL , reasoning, coding models, synthetic data, distributed training, or evaluation. Experience designing agent environments, tool-use tasks, or verifier-based rewards. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD 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: Norwalk, Connecticut, United States Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a Financial Planning Manager to join our Corporate Accounting, Trading Services group, who will report to the Managing Director of Corporate Finance. The ideal candidate possesses a strong finance and analytical mindset. The candidate should be detail oriented and highly organized to manage several functions including trader compensation and financial planning/forecasting. Responsibilities Maintain and administer trader compensation database Calculate trader compensation on a monthly and annual basis Support monthly financial reporting and planning initiatives, as well as ad hoc projects Collaborate with Corporate Accounting team and auditors to complete year end audits for domestic and international entities Requirements 4+ years of relevant finance/accounting experience within a hedge fund, including responsibility for trader compensation, financial reporting, and analysis Bachelor’s degree in finance and/or accounting Strong analytical and modelling skills to effectively breakdown and map out legal compensation agreements Strong communication skills, both verbal and written, to effectively and succinctly present relevant data and issues Competent technology and data knowledge base to efficiently extract and manipulate data for reporting and analysis A team player with excellent project and time management skills to effectively work with our partners This role requires that all employees commute into our Rowayton, CT office Monday through Friday, and work 8:00 AM to 6:00 PM. Base Salary Range The anticipated base salary range for this position is $170,000 to $215,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Other Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation. Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan.  All employees also receive paid vacation and sick leave.  Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods.  Benefits are subject to change and may differ for non-U.S. roles.

Location: Milwaukee, United States Lead Quality. Influence Operations. Grow Your Career. If you're a Quality Manager (with HACCP & SQF certifications) who thrives in a fast-paced manufacturing environment and enjoys building teams, driving continuous improvement, and partnering closely with operations, this opportunity deserves a closer look. Our client is an established, family-owned manufacturer experiencing sustained double-digit growth. They are investing heavily in their people, facilities, and future expansion plans, creating outstanding long-term career opportunities for the right leader. Why This Opportunity Stands Out Multi-year "Best Places to Work" award winner Modern, climate-controlled manufacturing facility Strong employee engagement and internal promotion culture Significant company growth and expansion initiatives underway Highly visible leadership role with direct impact on plant performance The Opportunity The Quality Manager will lead day-to-day quality operations for a 24/5 manufacturing facility serving some of the most demanding consumer brands in the world. You'll oversee a team of Quality Engineers, Technicians, and Inspectors while partnering closely with Operations, Production, Engineering, R&D, and Supply Chain to ensure product quality, food safety, regulatory compliance, and continuous improvement initiatives remain best-in-class. This role is ideal for a leader who can balance technical expertise with strong interpersonal skills, influence cross-functional stakeholders, and successfully navigate a high-volume manufacturing environment. Key Responsibilities Lead and develop a team of quality professionals across multiple shifts Drive GMP, HACCP, food safety, quality assurance, and compliance initiatives Manage customer complaint investigations, corrective actions, and root cause analysis Oversee internal audits, supplier quality programs, and regulatory compliance efforts Maintain and improve ISO, food safety, and quality management systems Partner with production and operations leadership to improve quality performance and reduce defects Analyze quality metrics, SPC data, and process trends to identify improvement opportunities Support continuous improvement projects focused on quality, efficiency, and customer satisfaction Ensure traceability, documentation, product specifications, and quality records are maintained What We're Looking For Quality leadership experience within a regulated manufacturing environment Experience leading quality teams in food packaging, food manufacturing, food ingredients, medical packaging, or similar industries Strong knowledge of GMP, HACCP, food safety systems, and quality management principles Experience with ISO certifications, auditing, corrective actions, and continuous improvement programs Proven ability to influence production and operational stakeholders Strong leadership, coaching, and employee development skills Bachelor's degree preferred in Food Science, Packaging, Engineering, Quality, or a related field

Location: District of Columbia; New York, NY Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team You'll join Rain's lean legal team and take a leading role in our M&A and corporate development efforts as we scale globally. You'll operate as a strategic partner to Rain's leadership — identifying, structuring, negotiating, and closing acquisitions, investments, and other strategic transactions — while also supporting the broader corporate legal function across a fast-moving, heavily regulated fintech platform. What you'll do - Lead M&A execution: manage all legal aspects of acquisitions, divestitures, and strategic investments from LOI through closing and post-closing integration, including due diligence coordination, deal structuring, and negotiation of definitive agreements. - Draft and negotiate transaction documents: purchase agreements, merger agreements, and ancillary documents (escrow agreements, transition services agreements, employment and consulting agreements, IP assignments), plus board and stockholder consents. - Coordinate due diligence: partner cross-functionally with Finance, Compliance, Risk, Product, and Engineering to identify and assess deal risks and structure appropriate protections. - Advise on corporate structure and expansion: support entity formation and structuring for international expansion, working with local counsel as Rain enters new markets. - Support regulatory approvals in M&A, including change-of-control filings with state regulators (e.g., money transmitter license transfers) or foreign financial authorities (e.g., EMI, VASP, or payment institution license approvals). - Support general corporate matters, including drafting and negotiating intercompany agreements, advising on corporate structuring, and handling other corporate legal needs as they arise. - Collaborate across the legal team: partner with colleagues focused on licensing, compliance, and regulatory matters to align corporate transactions with Rain's regulatory obligations and licensing requirements. You are likely to succeed if you have: - 4 to 8 years of experience in corporate law, with meaningful M&A transaction experience (law firm, in-house, or a combination). - Hands-on experience drafting and negotiating acquisition agreements, investment documents, and related ancillary agreements. - Strong understanding of corporate governance, entity management, and Delaware corporate law. - The ability to manage multiple workstreams and competing deadlines in a fast-paced environment. - Clear, confident communication skills, with the ability to translate complex legal concepts for business stakeholders. - Strong hands-on drafting skills, with the ability to handle a meaningful share of contract and transaction drafting in-house. - A JD and admission to at least one U.S. state bar. Bonus attributes: - Ability to support corporate governance: maintain corporate records and entity management across Rain's global subsidiary structure. - Ability to negotiate commercial contracts. - Experience at a fintech, payments, crypto, or digital assets company. - Familiarity with cross-border M&A or international entity structuring. - Background in venture capital transactions (SAFEs, convertible notes, priced rounds). - Experience working on inter-company agreements and corporate structuring. - SEC reporting or compliance experience. Things that enable a fulfilling, healthy and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The AI Transformation Owner drives the end-to-end AI agenda for the field organization, translating emerging AI capabilities into concrete enablement roadmaps, field use cases, and org-level strategy. You will partner closely with product and engineering teams to pilot and scale AI solutions, own the operational transformation plan needed to embed AI into day-to-day field workflows, and establish the governance framework that keeps AI adoption safe, compliant, and aligned with company standards. This is a hands-on role for someone who can move from strategy to execution without heavy oversight. This role reports to the Vice President, Enablement & AI. What You’ll Do AI Enablement Roadmap: Own and continuously evolve the roadmap for AI-driven enablement initiatives, prioritizing based on field impact, feasibility, and alignment with broader Enterprise AI team and strategy.. AI Field Use Cases: Identify, scope, and execute on high-value AI use cases for the field (e.g., deal support, prospecting, content generation, guided selling, skills, change management), working with stakeholders to define success criteria and measure impact. AI Field Champions: build relationships with champions in the field organization to activate power-usage and drive peer-led adoption; track this adoption (e.g., usage, proficiency, behavior change) with our AI Ops Specialist and Enablement Analyst. Ops Transformation Plan: Design and drive the operational plan that turns AI pilots into scaled, repeatable processes, coordinating across enablement, ops, and technical teams to remove execution bottlenecks. AI Governance: Influence and lead governance standards for AI tool adoption in the field, including data usage, risk review, tool vetting, and alignment with company-wide AI policy. What You’ll Bring Mid-Senior Experience: Several years of experience in enablement, sales operations, or a related GTM function, with a track record of owning initiatives end-to-end. AI Solutions Experience: Direct experience evaluating, piloting, or deploying AI tools or solutions in a business context, with a solid technical understanding of how they work and where they add value. Act as the field's primary advocate for AI tools (e.g., AI-assisted prospecting, call intelligence, forecasting copilots, RFP/proposal generation). Cross-Functional Fluency: Proven ability to work closely with product and engineering teams, translating field needs into technical requirements and vice versa. Self-Sufficiency: Comfortable operating with significant autonomy — able to define scope, structure ambiguous problems, and drive work forward without needing detailed direction. Organization & Execution: Strong project management instincts; able to manage multiple workstreams (roadmap, use cases, ops transformation, governance) in parallel without dropping details. Innovative Mindset: A builder's orientation toward new technology — curious about what's possible, willing to experiment, and able to separate genuine opportunity from hype. Enablement/Sales Background: Familiarity with field or sales enablement motions (onboarding, tool adoption, content, coaching) and how AI can realistically augment them. GitLab Values Alignment: Ability to work in an all-remote, asynchronous environment, leaning heavily on transparency and collaboration as defined in the GitLab Handbook. About the team The Enablement & AI function is part of the CRO organization. Enablement is instrumental in helping GitLab grow at a more accelerated pace and achieve our ambitious revenue targets. The enablement organization comprises enablement leads serving the CRO business functions, a centralized content group, AI tech resources, and an operations team. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Tech Operations Specialist keeps the field organization's AI tooling running smoothly day to day. You will maintain a clear inventory of AI tools in use across the field, manage an index of use cases and field needs, track adoption and utilization, manage access requests, and keep the underlying data feeding these tools clean and well-organized. This is a detail-oriented, execution-focused role for someone who enjoys bringing order to a fast-moving tool landscape and wants to build a foundation in Tech operations. This role reports to the Vice President, Enablement & AI. What You’ll Do Tool Inventory & Consolidation: Maintain an up-to-date inventory of all AI tools used across the field org, identify overlap or redundancy, and support consolidation efforts to reduce tool sprawl. Tool Adoption & Use Case Index: Formalize a library of field-adopted and -requested use cases for our AI tools, in coordination with the AI Transformation Owner, CRO. Utilization & Tracking: Monitor usage of AI tools across teams, build simple reporting to track adoption trends, and flag underutilized or underperforming tools to stakeholders. Comms & Enablement: draft internal announcements for tool rollouts and create micro-enablement programs to engage the field in AI tools. Tool Access Requests/Management: Own the intake and processing of access requests for AI tools, ensuring provisioning is timely, accurate, and aligned with licensing and approval requirements. AI Data Management: Support the organization, quality, and hygiene of data used by or generated from AI tools, working with relevant teams to keep gDrive/datasets accurate and properly maintained. What You’ll Bring Early-Mid Level Experience: Some experience in enablement, sales/business operations, IT operations, or a similar coordination-heavy function; comfortable owning recurring operational processes. Organized & Detail-Oriented: Strong attention to detail with the ability to track multiple tools, requests, and datasets simultaneously without things falling through the cracks. Interest in AI Tooling: Genuine curiosity about AI tools and platforms, with willingness to learn the technical basics of how they're configured, accessed, and maintained. Act as an advocate for AI Adoption and best practices in the field. Process-Minded: Comfortable following and improving structured processes (intake forms, access workflows, tracking dashboards) rather than needing to build strategy from scratch. Collaborative: Able to work with enablement, IT, and field stakeholders to gather requirements and resolve access or data issues efficiently. Data Comfort: Basic comfort working with spreadsheets, dashboards, or simple data tools to track utilization and maintain data quality. GitLab Values Alignment: Ability to work in an all-remote, asynchronous environment, leaning heavily on transparency and collaboration as defined in the GitLab Handbook. About the team The Enablement & AI function is part of the CRO organization. Enablement is instrumental in helping GitLab grow at a more accelerated pace and achieve our ambitious revenue targets. The enablement organization comprises enablement leads serving the CRO business functions, a centralized content group, AI tech resources, and an operations team. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $95,200 — $160,800 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Berlin, Germany Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As an Inside Sales Representative, you’ll play an important role in helping our existing customers scale while managing requests and closing deals from a large book of accounts. You’ll build a strong foundation of knowledge across our product platform and internal sales processes while partnering with Support, Order Management, and Marketing. You’ll also gain experience qualifying and routing inbound prospects to an aligned Account Executive. Ultimately, this experience will help you serve customers efficiently and support your own career development in Sales. As a founding member of this new team, you're adaptable and eager to contribute to how the strategy of this function evolves over time. This is a full time role that can be held from our Berlin hub. What you'll do at Figma: Communicate with existing customer accounts through email, Zoom, and Ironclad about Figma’s platform and pricing Close inbound sales requests for subscription expansions, including adding products or licenses, creating new instances, and upgrading to the Enterprise Plan Manage inbound billing requests (such as processing renewals and changing payment term/method) Close targeted outbound account renewals Qualify and handle inbound sales requests Partner with Marketing to run proactive campaigns that maximize expansion/retention across all products We’d love to hear from you if you have: Desire to build career in Sales - ultimately working towards Senior Inside Sales Representative and Account Executive roles at Figma Strong technical aptitude with ability to learn new products, processes, and policies as we go Collaboration across multiple teams (such as Sales, Support, Billing, and Marketing) Inherent curiosity and commitment to ongoing learning, adaptable and comfortable navigating frequent change, and high achiever with a strong inner motivation to over-achieve Fluent in English and German languages While it’s not required, it’s an added plus if you also have: B2B SaaS experience Customer-facing Sales/Support experience At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Limassol; Nicosia; Athens Workplace: hybrid The role:   Driven by complex database architectures, automated failover mechanisms, and bulletproof operational resilience? If you thrive on taking ownership of enterprise-grade database systems across multi-cloud and complex on-premises setups, mastering zero-downtime clustering, performance optimization, and large-scale data migrations, this is your next strategic move! Join our team as a Senior Database Administrator and play a key role in architecting secure, highly available DB capabilities, driving our long-term technology strategy, and elevating the reliability of our global infrastructure. The main responsibilities of the position include: Act as primary DBA for enterprise databases (Oracle, MySQL, PostgreSQL, MSSQL, MongoDB) across on-premises and cloud setups Architect and guide configurations for High Availability (HA), Disaster Recovery (DR), and zero-downtime data migrations Research and implement next-gen database technologies, deployment tools, and automation to drive efficiency Partner with InfoSec to maintain top-tier database security, access controls, and compliance auditing Mentor and develop team members through continuous feedback, targeted goal-setting, and personalized growth plans Foster an open, highly motivated team culture built on active knowledge-sharing and creative problem-solving Coordinate daily task distribution to ensure an optimized, well-balanced workload across the DBA team Partner with the DBA Team Leader to set, track, and execute departmental KPIs aligned with corporate goals Collaborate with internal departments to support business-critical projects and infrastructure needs Main requirements: BSc/MSc in Information Technology or any other relevant field Minimum 5 years’ experience in a similar position, preferably in the financial services industry High-level expertise in at least one major engine (MSSQL, MySQL, Oracle, PostgreSQL, or Redshift) and a deep understanding of fault-tolerant, high-availability database architectures Proficient in database tuning, SQL query optimization, and writing Shell scripts to automate operational workflows Strong technical knowledge of Linux and Windows OS, paired with hands-on experience in cloud database platforms (AWS RDS, Azure, or Oracle Cloud) Advanced problem-solving skills with the foresight to identify areas needing security enhancements, system updates, and scheduled maintenance Proven leadership capability to coach, mentor, and develop team members while keeping the team motivated and focused on goals Excellent verbal and written communication skills in English Able to translate complex technical concepts clearly for both colleagues and management Native or fluent English skills with the ability to translate complex technical concepts clearly for both colleagues and management High level of accountability, strong attention to detail, and a self-driven commitment to continuous upskilling and learning Highly organized and adaptable in fast-paced environments, with strong cross-functional coordination skills to build effective internal relationships Benefit from: An attractive remuneration package Private health insurance A corporate pension fund An intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Test your edge – Aptitude / Personality Assessment Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Amsterdam, Netherlands; 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 We are looking for an Influencer Marketing Manager to grow the presence of Nebius Certification within relevant professional communities and build long-term relationships with creators, industry experts, and ecosystem partners. These initiatives should align with our broader business goals, helping us attract technical professionals and drive adoption across the Nebius ecosystem. You will define how Nebius Certification is represented across professional communities and identify the channels and communities where we should build our presence – from social platforms and industry events to meetups and university programs. 💡 Please note that after applying for this position, you will be required to complete a test assignment. Successfully completing this assignment will be the first step in the interview process. Your responsibilities will include: Develop and execute the influencer and community marketing strategy for Nebius Certification. Identify, recruit, and manage relationships with technical creators, AI practitioners, educators, and industry experts. Build long-term partnerships with developer communities, meetups, conferences, universities, and ecosystem partners. Design and execute influencer campaigns that drive awareness, engagement, and certification adoption. Develop ambassador and advocacy programs to encourage community-led promotion of Nebius Certification. Coordinate collaborations across social media, video platforms, podcasts, newsletters, events, and other relevant channels. Partner with Product Marketing, Content, and Product teams to ensure consistent messaging and campaign execution. Measure the performance of influencer and community initiatives, tracking reach, engagement, conversions, and ROI. Continuously identify emerging communities, creators, and partnership opportunities within the AI and cloud ecosystem. Represent Nebius Certification at industry events, conferences, webinars, and community meetups when appropriate. We expect you to have: 3+ years of experience in product marketing or related marketing roles. Strong sense of ownership and initiative. Experience managing marketing campaigns. Experience with CRM and marketing automation tools (e.g., HubSpot). Strong cross-functional collaboration skills. Excellent time management and prioritization skills. Upper-Intermediate (B2) or higher level of English. Background in or strong interest in AI-powered products. Experience using analytics to drive marketing decisions. Strong attention to detail and commitment to quality. It will be an added bonus if you have: Experience marketing educational programs. Experience with certification programs (AWS, Google Cloud, Azure, etc.). Deep understanding of AI technologies and capabilities. 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: Tbilisi, Georgia Workplace: remote Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling. DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally. We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys. If this excites you more than it scares you, you are in the right place. The Role We’re looking for a Lead Backend Developer to join our new development team within the global VR video streaming ecosystem. This person will lead the Billing team while staying hands-on. What You Will Do Lead system design for new features and complex changes; create and maintain architecture documentation and ADRs Drive code quality, review standards, and engineering practices (testing, CI/CD, code style, operational readiness) Lead technical incident response; write post-mortems with clear root causes and follow-up actions Identify and manage technical debt - maintain a prioritized backlog and advocate for regular capacity to address it Translate product requirements into technical solutions, milestones, and well-decomposed tasks Mentor engineers through design sessions, pair programming, and code reviews; reduce key-person risk by spreading knowledge across the team Define and maintain SLIs/SLOs for team-owned services; ensure sufficient logging, metrics, and alerting are in place Coordinate technical dependencies with other teams (Content Serving, Processing, UGC, DevOps); represent the team in architecture syncs and design reviews Evaluate and recommend technologies, patterns, and tools; pilot new approaches where they bring clear benefit What We Are Looking For Strong hands-on backend engineering experience with Golang and/or PHP, including demonstrated technical leadership in system design, engineer mentoring, and architecture ownership Experience with NoSQL databases (MongoDB or similar) Experience with relational databases (PostgreSQL or similar) Experience of using Golang in production environment Experience designing and evolving backend architectures - APIs, data flows, service decomposition Strong understanding of testing practices (unit, integration, E2E) and CI/CD pipelines Ability to communicate technical trade-offs, risks, and designs clearly to both engineers and non-technical stakeholders English B1+ (written and verbal communication) Bonus Points Experience with various video formats, media containers, and transcoding pipelines Experience defining and working with SLIs/SLOs in production Understanding of message brokers and event-driven architectures (RabbitMQ, Kafka, or similar) Tech Stack PHP, MongoDB, PostgreSQL, Kubernetes, Docker, CI/CD, Redis, Kafka, RabbitMQ, Go Hiring Process HR Screening (30 min) Team Interview (1.5 hour) System Design Interview (1 hour) Live Coding Interview (1 hour) CEO Interview (30 min) 💼 Explore our hiring process What We Offer Please note: fully remote contract role. B2B only - work as an independent contractor with your own legal entity. The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD At Higgsfield, growth runs on data, and this role owns it. This role owns the analytical engine behind growth: - Data parsing & pipelines - Dashboards & reporting - Funnel analysis - Insight & hypothesis generation YOU MAKE SURE: - The growth team always knows what's working, what's not, and why - Every channel, cohort, and funnel step is measured accurately - Hypotheses that could grow reach and revenue are surfaced constantly - Decisions are made on data, not gut feeling You are the person who turns raw data into growth. WHAT YOU WILL DO Data & Analytics - Parse, clean, and structure data from multiple sources: product, marketing, and payments. - Own ETL processes. - Build and maintain dashboards the growth team will use daily. - Analyze the full funnel, from acquisition and activation to conversion, retention, and revenue, and find where we're suboptimal. - Reconcile numbers across Sheets, dashboards, and analytics tools. Insights & Hypotheses - Constantly look for insights: anomalies, patterns, and opportunities. - Generate and prioritize hypotheses that could increase our reach and revenue. - Turn analysis into clear, human-readable recommendations: visualize data for humans, not for other analysts. - Flag inconsistencies, broken tracking, or incorrect assumptions early, and drive fixes. Enabling the Growth Team - Answer the team's data questions fast, so growth managers can move without waiting. - Help design experiments and measure their results honestly. - Automate repetitive workflows: - Data collection - Reporting - Dashboard refreshes - Use tools like Google Sheets, SQL, Python, APIs, or scripts – we use AI heavily, so resourcefulness beats syntax. - Reduce manual work and increase reliability as volume scales. WHO WE’RE LOOKING FOR We’re looking for a high-agency https://www.highagency.com analyst. You should have: - Proficiency in Google Sheets and SQL. - Python at entry level is fine – we use AI heavily, resourcefulness matters more than syntax. - Understanding of ETL processes and how data moves between systems. - Ability to visualize data for humans: clear, decision-ready charts. - An always-on instinct for insights. - Resourcefulness, responsibility, and an ownership mindset: you get things done. - Clear written and spoken English, B2+ level. Backgrounds that often do well: - Data or marketing analytics with strong execution bias - Growth Ops / BizOps people - Early startup analysts who built reporting from scratch WHAT THIS ROLE IS NOT This role is not a fit if you: - Wait to be told what to analyze - Prefer building models over driving decisions - Need perfect data before you can say anything useful - Are uncomfortable presenting findings and pushing back - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Australia; Sydney, New South Wales, Australia Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity OKX offers deep liquidity, competitive tiered fee structures, and low-latency infrastructure across spot, perpetuals, and options, built for traders who need scale and speed This is a strategic hire to build and own OKX's HFT/proprietary trading relationships in the Australian market What You’ll Be Doing Providing exposure to digital asset products to your network of traders (proprietary trading groups, high frequency traders, and others), and building this network with OKX's support and resources Developing a strategy to serve traders interested in exposure to digital asset products, including building a pipeline of prospects Managing the sales cycle for traders end-to-end, including working with OKX's: - technical experts to answer product questions; and - business leads to align on commercials for each deal. Taking product feedback from traders, then communicating this internally to support product improvements Negotiating commercial terms with prospects, including fee tier structures, rebates, and liquidity provision incentives Coordinating onboarding of new accounts, including wholesale/sophisticated investor classification, KYC, and legal documentation, working closely with OKX's Compliance and Legal Teams Supporting technical integration conversations (API/FIX connectivity, colocation where relevant) alongside OKX's technical team Representing OKX at industry events, conferences, and trading community gatherings to build and maintain relationships Managing and growing existing accounts post-onboarding, including upselling to higher fee tiers or additional products What We Look For In You Existing relationships with market makers, proprietary trading firms, or trading infrastructure providers At least 4 years of experience in business development or sales: - Ideally, in industries relating to trading (for example: derivatives, CFDs, FX, commodities - with direct client experience at trading firms, proprietary trading groups, commodity trading advisers) - With experience at a regulated exchange, broker, futures commission merchant, order management system, data provider or similar Desire and capability to own a business line in the Australian market for a leading, global digital asset exchange Interest in digital assets and novel financial products and infrastructure Understanding of market microstructure, maker-taker fee models, and how HFTs/proprietary trading groups evaluate exchange venues Familiarity with API- or FIX-based trading relationships (technical fluency not required, but comfort discussing integration requirements) Track record of managing multi-stakeholder commercial negotiations Based in Australia, ideally Sydney Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote, KSA; Remote, UAE GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Strategic Account Executive, you'll help expand GitLab's presence across MENA by building trusted relationships with senior leaders at large organisations and guiding them through complex platform decisions. This role is focusing on new logos and some existing business. You'll use a consultative sales approach to connect customer business needs with our AI-powered DevSecOps platform, helping teams improve developer productivity, reduce security and compliance risk, and move software delivery forward with more confidence. In this role, you'll support strategic accounts across the full customer journey, from early conversations through adoption, while helping us position GitLab as a leading DevSecOps partner in the French market. You'll work across pre-sales, post-sales, partner, marketing, and support teams, and we'll rely on you to bring strong account leadership, customer outcomes, and clear communication. Over your first year, your impact will come from building account plans for large organizations, developing new opportunities, and helping customers successfully adopt GitLab in ways that align to their business goals. What you'll do Lead strategic account activity for large prospects and customers, providing direction throughout pre-sales and post-sales engagements. Develop opportunities within enterprise accounts through prospecting, relationship building, and a consultative understanding of customer business needs. Create account plans and customer proposals that clearly connect GitLab capabilities to organizational priorities and transformation goals. Coordinate with pre-sales, post-sales, and support teams to support successful product rollout and customer adoption. Generate qualified pipeline in partnership with strategic channel partners and support new customer development efforts. Contribute customer feedback and product ideas to GitLab's public issue tracker to represent the voice of the customer. Prepare activity and forecast reports, and help analyze wins and losses to improve future sales execution. Collaborate with marketing, account teams, product managers, and technical teams to share lessons learned and communicate customer needs clearly. What you'll bring Experience selling into large organizations and navigating complex enterprise sales cycles with multiple stakeholders. Ability to build and manage executive-level customer relationships with a high degree of ownership and follow-through. Skill in consultative selling, including shaping proposals, presentations, and formal quotes around customer business needs. Strength in negotiation, presentation, and closing conversations in a clear and effective way. Comfort working independently on complex projects while coordinating with cross-functional teams. Fluency in English and Arabic required Familiarity with GitLab or related tools, including Git, software development tools, application lifecycle management, or security and application security tools. Alignment with GitLab's values, with openness to transferable experience from adjacent technical or enterprise software environments. About the team The team focuses on growing GitLab's enterprise business by helping large organizations adopt a single platform for software delivery, security, and collaboration. This role works closely with cross-functional partners across sales, solutions, support, marketing, and product, and contributes to an asynchronous, distributed way of working that values transparency, accountability, and shared customer insight. The team's work sits at the intersection of strategic growth and customer transformation, with a focus on helping enterprises evaluate, adopt, and expand their use of GitLab across complex environments. #LI-CA2 Remote-Global How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Senior Professional Services Project Manager (London area) An overview of this role GitLab Senior Professional Services Project Managers manage complex projects from initiation through delivery and closure. In this role, you'll coordinate with cross-functional teams and our global customers to complete distinct projects on time and within budget. You'll use your experience managing information technology and software consulting projects and your knowledge of traditional and agile project management and software development methods. You'll also manage executive stakeholder communications, manage escalations, and help improve Professional Services project management practices. What you’ll do Manage large-scale commercial projects and executive stakeholder meetings and communications. Collaborate with GitLab Support, Engineering, and Product teams to resolve complex customer problems using GitLab technologies. Drive improvements to Professional Services project management tools, processes, procedures, and templates. Summarize key customer projects monthly and provide a summary for quarterly business reviews. Develop and manage delivery schedules, customer expectations, project scope, resources, status, risks, and issues for technical and consulting services. Manage customer escalations by coordinating with customers and GitLab stakeholders, including the executive team, Sales, and Technical Account Managers. Establish reliable, repeatable delivery processes, metrics, and operational procedures. Set and achieve forecast goals by aligning customers, Technical Architects, project engineers, partner consultants, and delivery partners. What you’ll bring Experience managing complex information technology or software consulting projects for external customers from initiation through closure. Ability to manage project scope, schedules, resources, customer expectations, risks, issues, and multiple priorities while delivering concise executive-level status reports. Ability to build effective relationships with customer leaders, communicate with internal and external stakeholders, and manage escalations. Ability to identify and resolve project challenges, motivate advisory teams and contributors, and mediate conflicts. Experience supporting timely revenue recognition and executing change orders when needed. Knowledge of project management and technical delivery methods for software, including Project Management Institute methodologies, agile or Scrum, the software development lifecycle, and project management or agile tools such as GitLab. Enterprise customer and Professional Services experience is a plus. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Baku Workplace: remote ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Qualifications & Skills: 4 to 7 years of experience as a DevOps/SRE/Platform engineer Extensive experience with Linux Extensive experience with container orchestration using Kubernetes Experience with Self-hosted Kubernetes clusters administration GCP or AWS cloud experience Experience with Infrastructure-as-Code tooling Experience with Python / Bash scripting Experience with observability tools Experience with CI/CD Excellent interpersonal communication skills Strong communication skills Strong analytical and problem-solving skills Responsibilities Manage Kubernetes clusters (self-hosted or cloud-based) Implement and maintenance infrastructure in the cloud Managing Linux servers, web servers and application servers Configuration management (puppet, ansible) Manage Infrastructure as a code (terraform/terragrunt) Troubleshooting Nice to Have: IT professional certifications are not required, but it will be a plus Kubernetes (CKA, CKS) Google Cloud Platform or AWS HashiCorp (Terraform Associate, Vault Associate) Linux (LFCS, LFCE, RHCSA, RHCE) Puppet or Ansible certifications Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement:Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Location: Seattle, WA Workplace: onsite Overview Get Paid to Help Shape the Future of Technology  We are building a community of participants for upcoming in-person data collection projects in Seattle. These projects help improve the next generation of smart devices and technology and we are looking for everyday people to take part.  No experience is required. No special skills are needed. Simply attend your scheduled session, follow a few simple instructions, and get paid for your time.  What You'll Do  Participants take part in short, moderated sessions involving simple, everyday activities such as walking, sitting, or moving through a space while smart devices record the session. A friendly moderator guides you through every step. A trained moderator will guide you through the entire process.  Project Details Job Type: Freelance/Independent Contract Time Commitment:Approximately 1 hour Location: Seattle Metro Area (On-site) Project Type: Short-term, paid, in-person research sessions   Who Can Apply?  We welcome people of all ages and backgrounds from across the Seattle region. To participate, you should:  Adults and minors are eligible (participants under 18 require parent/guardian consent)  Be comfortable following simple instructions in English (non-native English speakers are welcome).  Feel free to register with friends or family, you are welcome to participate together. Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.       About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.