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Location: Ukraine; Poland; Spain; Portugal; Germany; Romania At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Staff Architect (Senior Solution Architect) to join us as part of our team. About the project: PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights /Company profiles / Workflow & efficiency / Many more. Our Tech Stack & Focus Areas Java, Spring, React, Typescript, Apache Beam, Flink, LangGraph, GCP/AWS, K8s Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will: Translate high-level business initiatives into concrete architectural vision and technical standards, collaborating closely with Product and Engineering to design cost-efficient, scalable solutions that maximize customer value Devise technology and architecture solutions that propel engineering excellence across the organization, simplify otherwise complex problems, and address the “-ilities” (portability, usability, maintainability, scalability, recoverability, availability, extensibility, and security) Author AI-ready solution specifications as a part of the design lifecycle, actively participating in AI-enabled workflows and continuously integrating modern tools into the architectural process Drive system evolution toward well-defined target and transition (interim) states, utilizing robust system diagrams to convey clear, actionable execution paths for engineering teams Describe technical context in intuitive ways for different audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with senior stakeholders Drive system innovation by leveraging AI as a core enabler, prototyping high-impact capabilities to prove technical feasibility and steer future-ready architectural directions Learn constantly, including in available cloud managed services (PaaS/SaaS/IaaS), libraries, frameworks and platforms (commercial and open source) Propose pragmatic, organized, and balanced technical decisions in areas such as build vs. buy, now vs. later, and refactor vs. rebuild Provide and oversees high-level estimates for scoping non-trivial feature Coach engineering teams, grow their level constantly and enable them making high-quality autonomous decision in the software design We’re looking for you if you have 7+ years of hands-on software development experience with strong core engineering principles 3+ years of experience in designing complex software architectures for the multi-stack environment (e.g., Java, C#, Python microservices, data analytical systems, AWS/GCP/Azure) Exceptional written and verbal communication skills, acting as a trusted partner to both Product Management and Engineering - capable of articulating technical vision clearly to any audience while actively listening and synthesizing feedback to refine solutions A strong, disciplined approach to architectural decision-making, systematically evaluating technical trade-offs, risks, and technology pros/cons to deliver resilient, cost-effective platform solutions Proven capability to manage stakeholder expectations, build cross-organizational alignment, and articulate technical trade-offs to business and engineering leadership Practical experience designing data solutions across relational databases, distributed caching, replication, and enterprise search engines (e.g., PostgreSQL, MS SQL, Redis, Elasticsearch) Experience architecting on major cloud platforms (e.g., AWS, GCP, or Azure) using containerization and orchestration technologies like Docker and Kubernetes Prior experience in pre-sales, technical discovery, or solution consulting is considered a strong plus Hands-on experience driving AI enablement initiatives and architecting agentic AI systems (e.g., multi-agent frameworks, LLM orchestration) is considered a strong plus English — Upper Intermediate or higher; Ukrainian — fluent. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview Steps: Interview with the recruiter Technical Interview Manager Interview HR BP Interview Final сlient Interview.

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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Enterprise AI Products team builds what makes Claude a daily-use tool for enterprise customers across industries. We focus on organizational context and workflows (plugins, skills, connectors, webhook-triggered processes / agents). In other words, we focus on products that form the connective tissue that lets Claude operate across an organization. A big part of this work is understanding what's blocking adoption and building the capabilities that close those gaps. Much of this is being built 0→1 right now: you'll be shaping the product and the architecture in a market where no one has done this well yet. You'll be a technical leader who thinks holistically about the end-to-end customer experience, partners directly with research to push model capabilities into production, and carries real ownership over what we ship next. What you'll do Own technical design and delivery for enterprise-facing core products, end-to-end across the stack Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development Mentor other engineers and raise the technical bar across the team, working with influence rather than authority Build multi-player, asynchronous agents: department-level processes that are goal-oriented, many-step, and triggered by a webhook, a form, or an email rather than a person typing You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have led the design and delivery of complex enterprise or B2B products across the full stack Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with enterprise customers and translating what you learn into technical decisions Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Experience working with research to improve domain-specific model capabilities, including evaluation frameworks Experience building extensibility surfaces (plugins, integrations, agent tooling) that third parties or internal teams build on Exposure to both product-led growth and direct enterprise sales The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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: 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: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. We're looking for a Staff Product Manager to own the vision and roadmap for observability at Render. The role spans both the systems layer and the fast-emerging world of agent observability. This is a role for someone who wants to define what it means to understand your software in an era where AI is fundamentally changing how it gets built and run: where a production incident might trace through services, queues, model calls, and autonomous agent decisions, and where cost is measured in tokens as much as CPU-hours. This is a new specialization at Render, and you will own the visibility layer for AI workloads and drive the technical and strategic direction for Render's observability surface, including logs, metrics, traces, and the OpenTelemetry ecosystem. You'll engage with Render's customers and our product development teams to develop a deep understanding of how they debug, monitor, and manage spend, and build conviction about where observability needs to go next. WHAT YOU'LL DO - Own the vision, strategy, and roadmap for observability at Render. Your scope spans systems telemetry (logs, metrics, distributed tracing), OpenTelemetry-native instrumentation and export, agent and LLM observability (traces of model calls, tool use, and multi-step agent runs), and the cost and usage layer that makes token economics legible. - Drive prioritization across observability investments, balancing foundational telemetry infrastructure against near-term product needs. - Partner deeply with Engineering & other Product teams to shape the technical direction of Render's telemetry pipeline, ensuring architectural decisions optimize for signal fidelity, query performance, and cost at scale. Observability touches every product surface at Render, so the dexterity to understand the shape of our other investment areas is essential. - Develop a strong, opinionated point of view on what observability means for AI-native builders. How will OTel conventions extend to agent workloads, what a trace of an agent run could look like inside Render, and how teams should reason about token spend, model routing, and cost attribution. WE'RE LOOKING FOR - 7+ years in Product Management, with substantive experience in observability, monitoring, developer tools, or infrastructure products. - Working fluency with the OpenTelemetry ecosystem — signals, semantic conventions, collectors, and the tradeoffs of instrumenting real production systems. Bonus if you've tracked the emerging conventions for GenAI and agent observability. - Familiarity with the economics of AI workloads: token pricing, model selection tradeoffs, and how teams budget for and attribute LLM spend. Major bonus if you've worked on an LLM gateway, proxy, or metering product. - Deep developer empathy, for both internal engineering teams and our customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering. - A track record of taking ambiguous, cross-cutting problems and turning them into clear strategy and shipped outcomes. - Strong communication and storytelling skills. WHAT WOULD BE NICE TO HAVE BUT NOT REQUIRED - Experience as an SRE, observability engineer, or infrastructure engineer. - Hands-on experience building AI agents, or instrumenting and evaluating them in production. - Contributions to OpenTelemetry or adjacent open-source telemetry projects. If this role excites you but you don't meet every single requirement or your experience is in an adjacent role such as engineering management, we'd still love to hear from you. Your unique experience might be just what we need. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. We're looking for a Staff Product Manager to own the vision and roadmap for Render's datastores portfolio, with our Postgres offering at the center. You will define what a modern managed database experience looks like, including how database products will adapt to new state patterns from agents and how agents as users of state-keeping products should be accommodated. You'll drive the technical and strategic direction for Render Postgres and our broader data layer, working directly with your team and infrastructure engineering to shape architectural decisions. You'll engage with Render's customers and our product development teams to develop a deep understanding of their data needs and build conviction about where the datastores portfolio needs to go next. WHAT YOU'LL DO - Own the vision, strategy, and roadmap for Render's datastores, anchored on Postgres. Your scope spans provisioning and lifecycle management, high availability and disaster recovery, backups and point-in-time recovery, scaling and performance, connection management, and the extension ecosystem. - Drive prioritization across Render's data investments, balancing the leverage of foundational reliability work — replication, failover, storage performance — against near-term product and business needs, and being able to negotiate those tradeoffs. - Partner deeply with Engineering & other Product teams to shape the technical direction of Render's data layer, ensuring architectural decisions optimize for durability, performance, and operational simplicity. Databases are where customer trust is won or lost, so an instinct for reliability and data safety is essential. - Develop a strong, opinionated point of view on how managed Postgres needs to evolve to serve AI-native builders — from vector workloads and retrieval pipelines to databases that are spun up, branched, and torn down programmatically by agents at scale. - Set the standard for how developers experience data on Render, providing clear guidance, sensible defaults, and abstractions that make it easy for teams to run production databases with confidence — without needing a DBA on staff. WE'RE LOOKING FOR - 7+ years in Product Management, with the majority spent on databases, data infrastructure, developer tools, or platform products. - Familiarity with Postgres — its architecture, operational model, ecosystem, and the tradeoffs teams face running it in production. Bonus if you have strong perspective on how agentic workloads and AI-native applications are reshaping database usage patterns. - Deep developer empathy, for both internal engineering teams and our customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering. - A track record of taking ambiguous, high-stakes reliability and infrastructure problems and turning them into clear strategy and shipped outcomes. - Strong communication and storytelling skills. WHAT WOULD BE NICE TO HAVE BUT NOT REQUIRED - Experience as a database engineer, DBA, or infrastructure engineer. - Hands-on experience with Postgres internals, replication tooling, or the extension ecosystem (e.g., pgvector, PostGIS). - Experience building AI agents or the data infrastructure that powers them. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: London Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on UK public sector and defence accounts. This is a highly specialised role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organisations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of UK Government and defence organisations. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements. Location: UK Security Clearance: Active Top Secret clearance preferred; candidates with Active Secret clearance or those who are eligible and willing to obtain clearance will also be considered. What You'll Do Customer Program Leadership: - Own end-to-end technical program delivery for UK public sector and defence customers, from initial deployment through production scaling - Serve as the primary technical program point of contact for government customers, building trusted relationships with departmental CIOs, IT directors, and technical teams - Translate complex government requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans - Navigate government procurement processes, RFP responses, and contractual technical obligations. Strategic Communication: - Provide clear, timely, and objective communication across Cohere's engineering organisation, customer stakeholders, and government leadership - Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds - Present technical roadmaps and status updates to senior government officials and departmental executives - Represent Cohere's technical capabilities in sensitive government and defence contexts. Complex Program Management: - Create and manage project schedules that account for government timelines, security review processes, and ministerial approval cycles - Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams - Navigate risks unique to government deployments: privacy compliance, security authorisations, technical and infrastructure constraints - Drive alignment between product development priorities and specific government requirements. Technical Delivery & Execution: - Ensure on-time delivery of AI solutions that meet government-grade security, privacy, accessibility, and performance standards - Coordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual support - Establish governance checkpoints appropriate for high-stakes government deployments - Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments. You May Be a Good Fit If: Required Experience: - 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery. - Excellent executive communication and stakeholder management. - Experience working with government, defence, or heavily regulated customers (public sector, defence contractors). - Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements. - Bachelor’s degree in a relevant field; advanced degree or technical certs a plus. Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator - Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders. Government & Defence Acumen: - Deep understanding of how government organisations procure, evaluate, and deploy technology - Familiarity with UK government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications - Understanding of defence and national security considerations in AI deployment - Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset - Eligible to obtain UK government security clearance (Top Secret preferred) Nice to Have: - Active UK government security clearance (Secret or Top Secret) - preference for active Top Secret clearance - Background in or strong familiarity with UK defence, intelligence, or critical infrastructure sectors - Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments - Project management certification (PMP, PgMP) or government-specific methodologies. Security Clearance Requirements This role requires eligibility for UK government security clearance. Preference will be given to candidates who currently hold an active UK government Top Secret (TS) clearance, as this will enable immediate engagement with our most sensitive defence and national security customers. However, we will also consider exceptional candidates who: - Currently hold UK government Secret clearance and are eligible for TS upgrade - Do not currently hold clearance, but are eligible and willing to undergo the Top Secret clearance process - Have a previous government security clearance that has lapsed Please note that obtaining Top Secret clearance can take 12-18 months. Candidates without active clearance will work on non-classified public sector accounts while the clearance process is underway. What Makes This Role Unique This isn't typical program management—it's a highly specialised role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of the UK’s most sensitive and impactful AI deployments, helping government organisations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability. If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how the UK leverages AI to serve its citizens, this role is for you. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance. We are seeking a Principal AI Researcher to join our Foundation AI team. This team builds the foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you'll be one of the senior technical leaders at WHOOP.  You will own the technical execution of our foundation modeling workstreams and your technical judgment will shape a core part of WHOOP’s AI efforts and the products they power. RESPONSIBILITIES: - Set the architectural direction for the development of large-scale models spanning wearable sensor data, text, biomarkers, and behavioral signals, and personally own the highest-stakes, hardest-to-reverse design decisions. - Identify which research bets in self-supervised and representation learning are worth making, and drive the most ambiguous and unproven ones from thesis to validated, production capability. - Contribute to the broader AI  strategy and standards at WHOOP, shaping the platform, compute, and infrastructure choices the team operates on, not just working within them. - Partner across research, product, and engineering to connect technical breakthroughs to product and business outcomes. - Raise the technical bar across the team: grow staff and senior engineers, strengthen design-review and evaluation norms, and act as a force multiplier. - Represent WHOOP's technical work externally, helping with recruiting, partnerships, and visibility in the broader AI research community. QUALIFICATIONS: - Advanced degree (Master’s or Ph.D.) or equivalent depth, with extensive experience in large-scale machine learning and AI research. - A track record of owning technical direction for a significant area and making architectural decisions whose impact outlived any single project. - Demonstrated ability to take ambiguous, high-risk research directions all the way to production impact and the judgment to discontinue those that will not. - Deep expertise in modern deep learning (transformers, state space models), multimodal training, self-supervised and representation learning, RL-based post-training (PPO/DPO/GRPO), and large-scale distributed training (data, model, and context parallelism). - A history of being a technical authority that teams defer to, and evidence of multiplying their output. - Excellent communication and the ability to influence both the engineering bench and senior leadership. - Publications and evidence of community building at top-tier machine learning venues.  - Passion for WHOOP's mission to improve human performance and extend healthspan through science and technology.  This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.  Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $270,000 - $300,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role summary   As a Product Security Engineer within the Cybersecurity organization, you will be the dedicated security partner for one or more product organizations (such as Vibe, Studio or Forge). You will work alongside engineers, researchers and product managers to ensure security is built into every stage of the product lifecycle—from early design and architecture decisions through implementation, production deployment and continuous evolution. Your mission is to help engineering teams build secure products without slowing them down. Rather than acting as a gatekeeper, you will enable teams to make sound security decisions through secure-by-design principles, pragmatic engineering guidance and scalable security automation. You will own the Product Security strategy for your product portfolio, influence engineering decisions, and help define how secure software is built across one of the world's leading AI companies.   What you will do   - Serve as the dedicated Product Security partner for one or more product organizations. - Drive security throughout the entire product lifecycle, from design and architecture reviews to production deployment and ongoing operation. - Lead threat modeling, security architecture reviews and risk assessments for new features, APIs and major architectural changes. - Define pragmatic security requirements and secure-by-default patterns that enable engineering teams to ship safely at high velocity for a specific product. - Review critical designs and code, focusing on authentication, authorization, tenant isolation, data protection, cryptography and other high-impact security controls. - Design product-specific security validation strategies, including targeted testing, abuse-case development and guided agent-based security assessments tailored to each product's architecture and workflows. - Partner with engineering teams to prioritize and remediate vulnerabilities identified through code reviews, penetration testing, bug bounty programs and automated security testing. - Collaborate with Security Engineering to improve reusable security platforms, developer guardrails and security capabilities integrated into the SDLC. - Champion secure software engineering through coaching, technical leadership, reusable design patterns and Security Champion programs. - Define Product Security metrics, continuously improve the security posture of your products and help shape Product Security practices across the company. What we're looking for: - 5+ years of experience in Product Security, Application Security or Software Engineering with a strong security focus. - Strong understanding of modern software architecture, distributed systems, APIs and cloud-native applications. - Demonstrated experience performing threat modeling, architecture reviews and secure design assessments. - Deep understanding of modern software security, including authentication, authorization, cryptography, secrets management, tenant isolation, secure data flows and common vulnerability classes (OWASP Top 10, CWE). - Strong software engineering skills in Python, Go, TypeScript or similar languages, with the ability to review production code and build security automation. - Experience with application security testing techniques, including manual code review, penetration testing, bug bounty programs. - Experience designing product-specific security testing approaches, including security automation or agent-based testing, is highly valued. - Strong understanding of Secure SDLC principles from product design through production deployment and long-term maintenance. - Excellent communication and influencing skills, with the ability to earn trust across engineering organizations and balance security, product delivery and developer experience. - A pragmatic, engineering-first mindset with strong technical judgment and a focus on solving meaningful security problems. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a deeply technical DFIR Lead to build and lead the company’s global incident response capability - its people, tooling, and methodology - while remaining the hands-on technical authority on the hardest investigations. Reporting to the SOC Manager, the DFIR Lead will recruit, grow and direct a team of DFIR Experts, owning response execution, chain of custody and quality across Nebius’ cloud, infrastructure, and platform environments. This is a hands-on role that balances deep technical work along with building and running the function: the Lead drives high-severity incidents end-to-end, serves as the escalation ceiling, and sets the standards and structure the team operates by. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include: Build and lead Nebius’ global DFIR capability - select and mature DFIR tooling, and establish the playbooks and follow-the-sun operating model across EMEA, Asia, and APAC while hiring and developing a team of responders. Lead the technical response to major incidents hands-on - from escalation through containment, eradication, and recovery - and act as the final technical authority on the most complex cases. Personally conduct end-to-end forensic investigations across cloud, platform, and endpoint environments - log analysis at scale, host and network forensics, memory analysis, malware triage, and timeline reconstruction. Define and enforce consistent investigation standards across the team: severity and escalation criteria, cross-region handoff quality, and evidence handling that meets legal, regulatory, and forensic requirements. Partner with the SOC, SOC Automation, Threat Intelligence, Threat Hunting, and Platform Security teams to improve detection fidelity and reduce MTTD and MTTR. Serve as the technical voice of incident response to executive leadership, Legal, and Privacy - delivering clear, risk-based briefings, regulatory-ready documentation, and root cause analyses (RCA). Raise the team’s technical bar through case reviews and hands-on mentoring, and drive lessons-learned into measurable improvements in controls and readiness. We expect you to have: Experience 7+ years of hands-on incident response and digital forensics, including technical leadership of large-scale, high-impact incidents (ransomware, nation-state / advanced threat actors, cloud intrusions, identity compromise). Experience building or leading IR teams and capabilities in cloud or infrastructure-heavy environments, which are highly regulated (SOC 2, ISO 27001, GDPR/NIS2). Technical Expertise Deep knowledge of Windows and Linux internals, with proven disk and memory forensics capability. Strong cloud-native platform security: containers and Kubernetes, CI/CD, secrets management, cloud control planes, and IAM attack paths. Fluency in attacker TTPs (MITRE ATT&CK, including the Cloud and Containers matrices), and hands-on experience with EDR, SIEM, and forensic tooling (e.g., Velociraptor, Volatility, X-Ways/EnCase). Strong scripting and data-analysis skills (Python, PowerShell, SQL/KQL) for investigation at scale, with the ability to validate findings independently and challenge assumptions. Leadership & Communication Proven ability to lead under pressure and make high-quality decisions with incomplete data; technical leadership through credibility across regions, without relying on direct authority. Clear, concise communicator capable of briefing executives, Legal, Privacy, and non-technical stakeholders. Working knowledge of spoken and written English 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: Warsaw, Mazowieckie, Poland Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. Responsibilities: Supporting the projects for authorizations in different countries. Drafting and reviewing the business plans, different manuals required, contracts and other legal documents. Conducting research under regulation of different countries. Supporting and providing the right advice on various financial services license applications. Advising on different legal and regulatory matters. Collaborate closely with business teams to understand their strategic needs that effectively support key projects, partnerships and commercial goals. Requirements: 3+ years PQE. Previous law firm/regulated financial services company experience is an advantage. Solid experience working across multiple jurisdictions. Experience with dealing with external legal & compliance consultants. Experience supporting various financial services licence applications is an advantage. Analytical skills, commercially oriented and eager to understand how the business operates to the very last detail. Strong task-management abilities. Ability to work autonomously, make decisions and drive results in a fast-paced environment. Business level proficiency in English or above (equivalent to B2 or above in CEFR). What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry. Our company has an Internal Reporting Procedure. It is available from the Human Resources Department upon request hr@capital.com. You may report a violation referred to in the Procedure under the terms specified therein.

Location: Singapore Workplace: onsite About Xsolla Xsolla is a global commerce and financial technology company for the video game industry. Headquartered in Los Angeles with offices and operations worldwide, Xsolla provides the tools, infrastructure and capital solutions that help developers and publishers fund, launch, distribute and monetize their games across every market and platform. The company serves thousands of game businesses globally, from independent studios to the largest publishers, and is expanding a dedicated capital markets and investment platform serving the interactive entertainment ecosystem. The Capital Markets Group The Capital Markets Group (CMG) sits within Xsolla's Global Strategic Initiatives function and operates as the firm's institutional capital platform. The group originates, structures and executes financing and investment solutions across games and interactive entertainment, and is building a franchise modeled on the leading independent capital markets and special situations advisory platforms. The group operates multiple investment vehicles spanning debt financing and credit markets, alongside special situations and principal investment strategies serving the interactive entertainment ecosystem. These activities are supported by a proprietary market intelligence system, a global events and convening program, and a governed institutional relationship platform covering LPs, sovereign investors, family offices, banks and intermediaries across the Americas, MENA, APAC and Europe. CMG operates from hubs in Los Angeles, New York, the Middle East and Singapore. The group is in its foundation stage: hires at every level join a live deal environment with executive sponsorship, meaningful ownership and the mandate to build a durable franchise rather than inherit one. For more information, visit xsolla.com. About the Opportunity Xsolla is seeking a Head of Investor Capital and Relations to build the firm's Asia Pacific capital franchise from Singapore. The region combines the world's deepest gaming markets with some of its most sophisticated institutional capital, and this seat exists to connect the two for the firm: sovereign and state linked investors in Singapore, institutional investors and strategics across Korea and Japan, capital markets counterparties in Hong Kong and Australia, and the regional family office community. The corporate title for this seat is Director, with a defined path to Executive Director tied to franchise milestones, including the 2027 regional coverage plan and team build. There are no direct reports initially; regional analyst support and a 2027 hiring plan are owned by this seat. The Head of Investor Capital and Relations, APAC will be based in Singapore, in office, leveraging Xsolla's existing APAC presence, and will report to the Senior Vice President of Global Strategic Initiatives and Partnerships. The role requires travel of approximately 40 to 50 percent across Southeast Asia, North Asia and Australia, with periodic travel to Los Angeles. This is a full time position; Employment Pass sponsorship is available, with the package structured with local counsel. Expressions of Interest Xsolla welcomes confidential conversations with qualified candidates and trusted introductions. Please direct expressions of interest, together with a resume and a short note on relevant experience, to the Xsolla Talent Acquisition team via the application button linked below. Role Overview As Head of Investor Capital and Relations, APAC, you will own senior institutional coverage across the region, spanning sovereign and state linked investors, pensions, insurers, asset managers, funds of funds and family offices, alongside gaming, technology and media strategics across Korea, Japan and Greater China. You will own the coverage map, the relationships and the regional plan, operating with a global reporting line and the support of the firm's existing APAC operating footprint. This is a builder's role. You will establish the coverage standards, relationship infrastructure and regional plan that allow Xsolla to engage APAC's institutional capital with discipline, while coordinating closely with counsel on marketing approach and applicable regulatory regimes across Singapore, Hong Kong, Korea, Japan and Australia. Key Responsibilities Institutional and Strategic Coverage Own institutional coverage. Own senior coverage of APAC institutional capital, including sovereign and state linked investors, pensions and insurers, asset managers, funds of funds and regional family offices, with complete, current records and documented access paths in the firm's relationship platform. Build strategic coverage. Build dedicated coverage of gaming, technology and media strategics across Korea, Japan and Greater China as limited partners, co-investors and transaction counterparties. Map the counterparties. Map each priority institution's decision architecture, including mandate criteria, allocation cadence, co-investment appetite and approval process, and maintain that intelligence as a living asset. Capital Formation and Transactions Lead regional fundraising. Lead regional pre-marketing and fundraising support for the firm's investment vehicles within each jurisdiction's private placement and offering regimes, coordinating with counsel on the marketing approach for Singapore, Hong Kong, Korea, Japan and Australia. Own diligence processes. Originate and manage institutional diligence processes end to end, including DDQ coordination, data room support and operational due diligence visits. Support transactions. Support cross border financing and strategic transaction conversations alongside the Americas and MENA coverage teams and fund principals. Franchise and Regional Platform Build the region's presence. Build the firm's presence across the region's priority investment and gaming industry forums; run the APAC events calendar and convert presence into qualified pipeline. Develop the regional plan. Develop the 2027 regional coverage plan, including market prioritization, any additional country coverage and the regional hiring sequence, for approval by the Group Head. Set coverage standards. Establish coverage and CRM standards for the region and enforce the group's interaction logging discipline. Risk and Controls Ensure regulatory compliance. Ensure all regional marketing and offering activity complies with applicable regimes and the firm's policies, in coordination with counsel, including Singapore's frameworks for fund offers to institutional and accredited investors. Maintain counterparty awareness. Maintain rigorous counterparty awareness, including KYC, AML and sanctions screening coordination, and escalate reputational risk considerations early. Candidate Profile Experience 8 or more years of progressive experience in APAC institutional coverage, capital formation, investment banking or investor relations at a bank, asset manager, placement agent or sovereign investor, including significant client facing responsibility. Demonstrable relationships across Singapore's institutional community and at least one of the Korean, Japanese or Greater China institutional or strategic investor markets, with a referenceable record of capital raised or partnerships executed. Sector experience across gaming, interactive entertainment, technology or media, or coverage of strategics in those sectors, is a clear advantage. Domain Expertise Working knowledge of regional fund marketing and private placement practice, including Singapore's institutional and accredited investor frameworks. Experience marketing alternative strategies such as credit, special situations or private equity to Asian institutions is preferred. Experience operating under the Monetary Authority of Singapore regulatory framework, including holding or having held representative status with a capital markets services license holder or operating within an applicable exemption, is preferred. Skills and Competencies Proven ability to operate independently on a global platform, with disciplined pipeline management, reporting and follow through across time zones. Exceptional written and verbal communication skills in English; professional fluency in Mandarin, Japanese or Korean is preferred. A high degree of ethics and integrity, with a clean regulatory and disciplinary history. Education and Credentials A bachelor's degree is required. A CFA or CAIA charter, or equivalent, is strongly preferred. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. 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. Criminal History Consideration: For the Head of Investor Capital & Relations role, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Working with vulnerable populations Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com. Compensation is competitive and negotiable based on experience, and includes performance-based incentives, equity participation, and comprehensive health, retirement, and wellbeing benefits.

Location: Panama City, Panama B2B Sales Development Representative (SDR) focuses on outbound prospecting and inbound lead qualification. Their primary goal is to research ideal targets, initiate contact, and schedule qualified meetings for Account Executives to close. This role forms the foundational top of the sales pipeline. Core Responsibilities Outbound Prospecting: Build targeted lead lists and execute multi-channel outreach via cold calling, personalized email sequences, and LinkedIn. Lead Qualification: Assess inbound and outbound leads using standard frameworks to determine the prospect's needs, budget, authority, and timeline. Meeting Scheduling: Conduct initial discovery calls to spark interest, answer basic product questions, and book demos for Account Executives. Pipeline Management: Log all outreach activities, call notes, and prospect interactions into a Customer Relationship Management (CRM) platform (e.g., Salesforce, HubSpot). Collaboration: Partner with marketing and sales leadership to refine messaging, share market feedback, and optimize campaign effectiveness. Requirements Key Requirements · Excellent English communication skills — C1 – Native (written and spoken) Experience: 2-5 years of experience in B2B sales development account management, or a similar quota-driven environment. Communication Skills: Excellent written and verbal communication to articulate a compelling value proposition. Technical Skills: Proficiency with CRM platforms, virtual meeting tools, and data analysis software, experience using tools like Salesforce, HubSpot, LinkedIn Sales Navigator, and sales engagement platforms. Active Listening: The ability to quickly understand a prospect's business pain points and ask qualifying questions Please submit your current resume in English.

Location: South Africa About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Working Hours: UK Location: Remote in South Africa Job Summary We are looking for a highly organized and proactive Operations & Project Coordinator to serve as the central engine of our property conversion consultancy. In this role, you will bridge the gap between contractors on-site and our leadership team, ensuring that complex UK-based renovation projects remain on schedule and documented to perfection. This is a remote role based in South Africa, working UK business hours, designed for someone who thrives on process, clear communication, and professional ownership. You don't need construction experience—we provide a comprehensive six-week training handover—but you must be an expert at managing details and following through until a task is complete. Key Responsibilities Manage the administration of our custom site inspection app, auditing AI-drafted reports and finalizing project documentation. Coordinate live conversion projects by chasing contractors for progress updates, photographic evidence, and critical project data. Act as the primary point of contact for UK utility and energy providers, navigating complex processes and long hold times to secure meter relocations and new connections. Facilitate client communication via WhatsApp and email, gathering authorizations and providing project status updates. Maintain essential project paperwork, including valuation sheets, invoices, and schedules of work using our established templates. Master and maintain the internal company knowledge base, using it as a primary resource to solve problems independently before escalating to the Director. Requirements Excellent English communication for frequent professional phone calls with UK clients and companies. Resident of South Africa with a stable internet connection and the ability to work full UK business hours. Exceptional organizational skills with a proven track record of managing checklists and multiple moving parts without dropping the ball. High level of persistence and patience, particularly when dealing with administrative hurdles or external providers. Proficiency in Google Workspace, WhatsApp, and project management software (e.g., Asana). Strong judgment skills; the ability to work independently while knowing exactly when to flag a decision for the Director. Nice-to-Haves Previous experience in property, construction, or lettings. Familiarity with UK administrative processes or utility company structures. Experience in a remote operations role supporting a UK-based business. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? We're the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We’re looking for an IT Security Engineer to own and strengthen the security of our corporate technology environment. This is a hands-on role spanning identity and access management, endpoint security, SaaS security, Zero Trust, security automation, and incident response. You’ll work closely with Security, IT, Engineering, and business teams to build secure, scalable systems and automate the controls that protect our people, devices, applications, and data.   WHAT YOU’LL DO IDENTITY & ACCESS MANAGEMENT - Own and strengthen identity and access controls across our corporate environment, with a focus on Microsoft Entra ID. - Implement and maintain SSO/SAML, SCIM provisioning, MFA, Conditional Access, and RBAC. - Build and improve automated joiner, mover, and leaver (JML) workflows. - Regularly review permissions, privileged access, and authentication policies to reduce unnecessary access and security risk. - Help establish identity as the foundation of our Zero Trust security model. ENDPOINT SECURITY - Manage and improve endpoint security through Microsoft Intune/MDM, device compliance policies, and endpoint protection tooling. - Deploy and maintain EDR capabilities across the corporate fleet. - Establish and enforce security baselines for employee devices. - Investigate endpoint security events and remediate compromised or non-compliant devices. SAAS & CORPORATE APPLICATION SECURITY - Assess and improve the security posture of corporate SaaS applications. - Partner with application owners to implement appropriate authentication, authorization, provisioning, and data-access controls. - Identify shadow IT, excessive permissions, insecure configurations, and other SaaS-related risks. - Help establish scalable security standards for onboarding and managing new corporate applications. ZERO TRUST & CORPORATE ACCESS - Design and implement Zero Trust principles across identity, endpoints, applications, and corporate access. - Strengthen controls around privileged access, remote access, and access to sensitive systems. - Apply practical security controls that balance strong protection with employee productivity. SECURITY AUTOMATION - Automate repetitive security and IT workflows using scripts, APIs, and integrations. - Build tooling to automate access reviews, provisioning, compliance checks, alert enrichment, remediation, and other security processes. - Use scripting languages such as Python or JavaScript to improve security operations and reduce manual work. - Look for opportunities to turn manual security processes into scalable, reliable systems. DETECTION & INCIDENT RESPONSE - Monitor and investigate security alerts across identity, endpoint, and corporate systems. - Perform initial investigation and triage of suspicious activity and potential security incidents. - Support incident containment, remediation, and post-incident improvements. - Build lightweight detections and alerts for meaningful risks within the corporate environment. WHAT WE’RE LOOKING FOR - Strong hands-on experience with identity and access management, ideally within Microsoft Entra ID. - Experience implementing or managing SSO/SAML, SCIM, MFA, Conditional Access, RBAC, and JML workflows. - Experience with MDM and endpoint security, ideally Microsoft Intune and modern EDR tooling. - Understanding of SaaS and corporate application security. - Experience implementing or operating within a Zero Trust security model. - Ability to automate workflows using scripts and APIs, with experience in a language such as Python or JavaScript. - Working knowledge of security detection, investigation, and incident response. - Strong security judgment — you can distinguish theoretical risk from meaningful business risk and prioritize accordingly. - Comfortable operating independently in a fast-moving startup environment where priorities can change quickly. - Builder mindset: you look for ways to automate, simplify, and improve systems rather than relying on manual processes. NICE TO HAVE - Experience with reverse engineering, CTFs, security competitions, or similar hands-on security challenges. - Strong understanding of networking fundamentals, including VPNs, network segmentation, authentication protocols, and common lateral-movement techniques. - Experience securing rapidly scaling or highly technical organizations. - Experience working closely with engineering or product security teams. - Familiarity with cloud security concepts and modern security monitoring tools. WHAT WE OFFER: - Competitive base salary in USD - Equity: participation in the company’s stock option program, giving you the opportunity to share in the company’s long-term growth. - On-site role in our Almaty office (we will relocate you from anywhere).