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Location: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast - and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative. The Impact You’ll Make As a DevOps Engineer at Incode, you will play an important role in supporting and improving the cloud infrastructure behind our AI-driven identity verification platform. You’ll work on scalable, cloud-native systems that power secure and seamless identity experiences globally, with a focus on AWS, Kubernetes, and Terraform. In this role, you’ll help set up new environments, maintain and upgrade existing systems, support infrastructure automation, and help make our platforms more stable, reliable, and ready for further scaling. You’ll work closely with developers and other engineering teams to troubleshoot issues, improve deployment processes, and ensure our applications run smoothly in production. Your work will directly contribute to the reliability, efficiency, and scalability of Incode’s infrastructure, helping us deliver trusted identity verification solutions to customers around the world. What You’ll Own & Drive Cloud-Native Infrastructure - Help design, implement, and maintain Kubernetes-based environments that support scalability, resilience, and security. Environment Setup & System Upgrades - Support the setup of new cloud environments, assist with system upgrades, and help keep infrastructure components up to date and aligned with best practices. Infrastructure as Code (IaC) - Work with Terraform to manage and improve infrastructure automation, ensuring consistency and reliability across environments. Production Reliability - Investigate, troubleshoot, and resolve infrastructure-related issues in live environments, helping minimize downtime and maintain a smooth customer experience. Monitoring & Logging - Support and improve observability solutions using tools such as Prometheus, Loki, ELK, or similar stacks. Developer Support - Collaborate closely with development teams, helping them resolve infrastructure, deployment, and environment-related challenges. Engineering Standards - Contribute to internal best practices, documentation, automation improvements, and processes that help the DevOps team operate more efficiently. Continuous Improvement - Stay curious about AWS, Kubernetes, Terraform, and DevOps practices, bringing ideas that can improve stability, automation, and scalability. The Qualities That Set You Apart Cloud-Native Mindset - You have hands-on experience working with Kubernetes and understand its core concepts, including deployments, services, pods, ingress, and basic troubleshooting. Infrastructure as Code Enthusiast - You have practical experience with Terraform and understand how infrastructure automation helps create consistent and repeatable environments. CI/CD Experience - You have worked with CI/CD pipelines using tools such as GitLab CI/CD or GitHub Actions and understand how they support reliable software delivery. AWS Knowledge - You are familiar with core AWS services such as EC2, VPC, S3, IAM, and related offerings, and are comfortable working in cloud environments. Systems & Networking Understanding - You understand networking fundamentals such as TCP/IP, DNS, and HTTP/S, and can apply this knowledge when troubleshooting or supporting infrastructure. Problem Solver - You are comfortable investigating issues, asking questions, and working with others to find practical solutions. Collaborative Communicator - You can communicate clearly with technical peers and developers, explain issues or solutions, and contribute constructively in a team environment. Your Background Experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer, or in a similar role. Hands-on experience working with Kubernetes-based applications or environments. Practical experience with Terraform and infrastructure automation. Experience working with CI/CD pipelines, preferably GitLab CI/CD or GitHub Actions. Familiarity with AWS services such as EC2, VPC, S3, IAM, and related cloud services. Understanding of networking protocols and best practices, including TCP/IP, DNS, and HTTP/S. Experience supporting developers with infrastructure, deployment, or environment-related topics. Experience helping set up new environments, upgrade systems, or maintain cloud infrastructure. Strong written and verbal communication skills, with the ability to explain technical topics clearly. Why Incode? Mission with Meaning - Shape how billions of people prove identity - safely, simply, and ethically. Rocket-Ship Growth - Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing - Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy - Operate like a founder with the resources of a unicorn. Global Impact - Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: KOR - Seoul About Monster Energy: Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A Day in the Life: As Operations Manager , you will own the end-to-end execution of supply chain operations, driving speed, efficiency, and flawless performance across the network. You will partner closely with co-packers, suppliers, and warehouse teams to keep products moving, inventories optimized, and operations running at full throttle. Working cross-functionally with internal and external stakeholders, you will ensure world-class execution, proactively solve challenges, and continuously raise the bar on operational excellence. You will manage operations within budget targets while relentlessly monitoring, analyzing, and improving supply chain performance to support business growth and deliver results the Monster way. The Impact You'll Make: Collaborate with management of new plant setup process and on overall execution of raw material, demand, production planning to meet sales targets in the region. Assist management of operational requirements for new product launches with co-packer. Promote the achievement of the overall raw material, demand and production plan goals for the territory, and manage collaborative to distribute the products to the region's markets on time. Collaborate with custom broker for management of custom operations on time to deliver raw materials on time and bonded warehouse management in line with operational budget. Identify and develop solutions for gaps in current production and supply network. Identify inefficiencies, implementing solutions, and making decisions that impact multiple areas of the organization. Determine methods in process improvements for cost refinements across the network. Optimize operational systems, processes, and best practices to improve efficiency and productivity across departments. Collaborate with procurement to ensure supply chain has best pricing and minimize redundancy. Manage budgets, procurement, inventory, and logistics to ensure effective use of resources Act jointly with accounting departments and strategy partners to establish product cost of goods. Who You Are: Prefer a Bachelor's Degree in the field of --Supply Chain, Engineering, Business & Economics or similar field of study Additional Experience Desired: More than 5 years of experience in Supply Chain functions, custom operations Additional Experience Desired: Between 1-3 years of experience in ERP (Enterprise Resource Planning) systems Computer Skills Desired: SAP experience preferred. Excel, PowerPoint and other Advanced in Microsoft office applications. Read our privacy policy here: Privacy Policy

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.   Role Overview We're looking for a hands-on Infrastructure Security Engineer to own security across our cloud and ML infrastructure — the platform that trains our models and serves millions of generations a day. The work spans tenant isolation for user-deployed apps, GPU cluster security, and model protection from training pipeline to serving. You'll sit between Security, DevOps, and ML Engineering. You'll own both immediate implementation work and long-term operational responsibility: cloud and ML infrastructure security, vulnerability management, monitoring, and access governance.   KEY RESPONSIBILITIES We are looking for someone with experience in scaling high-growth startups who can make an immediate impact in the following areas: Cloud & Network Security - Evaluate, implement, and maintain cloud security tooling. - Own infrastructure and container vulnerability management across our cloud environments, and drive remediation. - Design and implement network segmentation to tighten internal security boundaries. - Build centralized security monitoring across cloud infrastructure. Corporate Access Control - Own access governance and credential management across cloud and internal tooling. - Partner with Engineering, DevOps, and IT to raise identity and access management standards. Technical Leadership: - Set the technical direction for infrastructure security and lead cross-functional projects turning the standards you set into tooling and guardrails engineers actually ship with. Requirements: Few people will match all of these. If you're strong on some and eager to learn the rest, apply anyway. - 7+ years in infrastructure security or security engineering, including time at a high- growth startup. - Deep hands-on experience securing a major cloud provider and a container orchestrator, managed with infrastructure-as-code (AWS, Kubernetes, Terraform). - Experience securing ML workloads — training or inference infrastructure, GPU clusters, or model-serving platforms. - Solid networking, operating systems, and cryptography fundamentals. - Strong grasp of container and infrastructure security practices and vulnerability management. - Comfortable working cross-functionally with DevOps, Engineering, and ML teams; able to independently find and close security gaps. - High agency. Nice to have - Experience with sandboxing, container isolation, or secure execution environments for untrusted code. - Experience with CSPM rollouts. - Incident response and security monitoring experience. - Familiarity with SOC 2 or similar frameworks. 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).

Location: Limassol; Athens; Nicosia Workplace: hybrid The Role: Are you passionate about enterprise database systems, adept with both on-premises and cloud environments, and driven by operational reliability?   If you thrive in a dynamic environment where performance tuning, data security, and high availability fuel your growth, we want to connect with you! Join our team as a Database Administrator and be part of a community that values your expertise and encourages your continuous advancement. The main responsibilities of the position include: Manage and support various databases (Oracle, MySQL, PostgreSQL, MongoDB) on-premises as well as in the cloud, handling daily support, performance optimisations, infrastructure improvements, backups, and replication streams Be the primary DBA for some databases, collaborate with other DBA team members to keep the tasks evenly distributed between everyone Handle migrations of various data sets and schemas between distinct database environments Monitor database performance metrics continuously and proactively troubleshoots and resolves structural or transactional issues Provide technical direction and guidance towards DB configuration Work in close cooperation with the Information Security Department to maintain security, access rights and compliance of all databases Recommend and implements emerging database technologies Collaborate effectively with other departments to achieve operational and project related goals Main requirements: BSc/MSc in Information Technology or any other relevant field Minimum 3 years’ experience in a similar position, preferably in the financial services industry Hands-on experience with major DB engines (MSSQL, MySQL, Oracle, PostgreSQL, MongoDB, or ClickHouse) alongside strong SQL writing and optimization skills Solid knowledge of AWS services (RDS, DMS, S3, IAM), with additional cloud experience (Azure, Oracle Cloud, MongoDB Atlas) considered a plus Strong knowledge of Linux/Windows environments, Shell scripting, and database/infrastructure monitoring tools (CloudWatch, OEM, Zabbix, Percona Toolkit, NewRelic) Excellent verbal and written communication skills in English Proven ability to collaborate effectively across cross-functional teams High accountability, strong attention to detail, and an adaptable mindset focused on continuous upskilling and operational efficiency Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Test your edge – Aptitude / Personality Assessment Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE: We're looking for a Product Designer to help shape the experience for the developers and teams who build on LangChain. You'll work across our core product surfaces, and depending on where the need is greatest, that could include how developers get from first signup to real production usage, as well as deeper platform workflows like debugging, evaluation, and observability. The common thread is developers doing technical, often high-stakes work, and needing an interface that gets out of their way. You'll partner with engineering, product, and other designers to figure out where the friction is and design your way out of it. *This position will be onsite in San Francisco, CA WHAT YOU'LL DO: - Build a deep understanding of how developers actually use LangChain's products through interviews and feedback sessions so your design decisions are grounded in real behavior and address user needs - Own the full design arc on your features — from early concepts to polished, shipped work - Work across a range of product areas and design initiatives as priorities shift - Collaborate closely with product, engineering and other key stakeholders to ship new features quickly WHAT YOU'LL BRING: - 3+ years of fullstack product design experience ideally working on developer tools, AI, or complex SaaS products - Sharp eye for detail, with a strong foundation across user-centered design, interaction design, and visual craft - A track record of solving hard interaction design problems, particularly around dense technical data - Data-driven decision making - you are comfortable driving user research, both with internal stakeholders and external customers, and using what you learn to inform your designs - You take initiative and ownership of tasks end-to-end - Strong technical acumen - you collaborate effectively with engineers to design things that are both well-crafted and feasible - Start-up DNA - you thrive in fast-paced, highly dynamic environments Annual salary range: $145,000-$185,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | New York, NY | San Francisco, CA About the Role AI inference is becoming core infrastructure. Every serious application will need access to many models, across many providers, with reliability, observability, security, cost control, and routing built in from the start. AI Gateway is Cloudflare’s bet that this layer should exist at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with one API change. We are looking for a Senior Systems Engineer to help build that layer. This is a deeply hands-on individual contributor role for someone who can move from a half-formed product idea to a working, production-ready system quickly. You will work across the stack — from distributed systems and high-throughput APIs to developer-facing workflows, dashboards, SDKs, and docs — helping define how developers build and operate AI applications on Cloudflare. You should be excited by the current pace of the AI ecosystem. Provider APIs change weekly, new models appear constantly, and developer expectations are rising just as quickly. AI Gateway needs engineers who can build durable infrastructure in that environment without slowing down. We also believe AI should change how we build software, not just what we build. We dogfood AI Gateway, Workers AI, and Cloudflare’s broader agent stack heavily. You should be comfortable using AI-native tools, agents, harnesses, and automation to improve your own engineering loop — and interested in building the internal tools and context that help a small team ship like a much larger one. Responsibilities Build core AI Gateway systems that handle high-volume inference traffic across providers, models, and Cloudflare’s global network. Design and implement APIs, routing primitives, observability features, controls, and developer workflows that make AI Gateway reliable and easy to adopt. Work across product and infrastructure boundaries with Workers AI, Agents, and the broader Developer Platform organization to make Cloudflare’s AI platform feel like one coherent product. Turn ambiguous product and technical ideas into prototypes, design docs, shipped features, and measurable production improvements. Improve reliability, performance, cost efficiency, and debuggability for latency-sensitive AI workloads. Build the software — and the software that builds the software: agents, tests, harnesses, evaluation loops, operational tools, and internal context that help the team move faster with confidence. Sweat the developer experience. Error messages, SDKs, dashboard flows, docs, examples, and API details all matter. Mentor other engineers through design review, code review, debugging, and technical leadership without needing people-management authority. Bring strong opinions, clear judgment, and a willingness to revise your view when data, users, or production reality prove otherwise. Desirable Skills, Knowledge & Experience 5+ years of experience building and operating production systems, ideally in AI infrastructure, developer platforms, cloud infrastructure, edge/proxy systems, high-scale APIs, or distributed systems. Strong systems engineering fundamentals: networking, APIs, reliability, observability, data modeling, performance, and operational tradeoffs. Experience designing or scaling distributed systems where latency, throughput, availability, and correctness all matter. Ability to work comfortably across the stack, from API design and product surfaces to backend services, queues, storage systems, control planes, or performance-critical code. Strong developer tools taste. You have used and built enough APIs, SDKs, dashboards, CLIs, docs, and internal platforms to know what makes them delightful or painful. Clear technical communication: you can write design docs, explain tradeoffs, review architecture, and align engineers and product partners around a practical path forward. A builder’s bias toward working software. You can prototype quickly, ship incrementally, and improve systems while they are already in production. Operational judgment. You understand that at Cloudflare scale, rare bugs are not rare for long, and you build systems that are observable, resilient, and recoverable. Comfort using AI-native development workflows and curiosity about how agents, tools, and automation can improve engineering productivity. Bonus Points Experience building AI/ML infrastructure, inference platforms, model gateways, LLM-powered applications, or provider abstraction layers. Experience building developer-facing APIs, SDKs, CLIs, dashboards, or platform products at scale. Hands-on experience with proxy, edge, gateway, routing, or traffic management systems. Familiarity with the current AI ecosystem: model providers, model capabilities, agent frameworks, inference patterns, and the rough edges developers hit in practice. Experience with cost controls, rate limits, caching, retries, fallbacks, evaluation, or observability for AI workloads. Experience with TypeScript, Go, Rust, or similar systems/backend languages. You have built or heavily customized your own agentic development environment: custom agents, harnesses, tools, or workflows that changed how you ship. You have built something with AI Gateway, Workers AI, or a competing product, and have opinions about what is missing. A track record of writing publicly about developer tools, infrastructure, systems, or AI products you have built. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote (U.S.) Workplace: Remote The Company: Outschool’s mission is to inspire kids to love learning. In our fast-changing world, the traditional educational system struggles to meet the diverse and evolving needs of young learners. Outschool reimagines this system, offering flexible and engaging learning experiences as a supplement and alternative to traditional education. By connecting learners with a global community of teachers and peers through our online platform, we make learning personal, dynamic, and deeply human. We've made significant strides since launching our marketplace of live online classes in 2017. Finding initial success with secular homeschoolers, we then expanded to enrichment learning to meet the needs of a wider audience, growing our business 16x since 2019. Post-pandemic, we have evolved our platform to power academic learning, incorporated AI, and have begun to grow our international community. We're proud to have served over 1.5M passionate learners with more than $100M in annual bookings. Driving disruptive, positive change in education is rewarding and hard. Outschool team members are encouraged to challenge themselves, take risks, and grow in their careers. We look for talented people whose sense of urgency, innate curiosity, and determination to drive impact will help Outschool achieve outsized results in pursuit of our mission. We invite you to be part of an ambitious team dedicated to ensuring every learner can navigate the future with curiosity, resilience, and a love of learning. The Role Outschool is expanding the ways families can access and use education funding to support their children's learning. We're looking for a Public Funding Operations Manager to ensure the systems, processes, and partner relationships supporting these programs work reliably and efficiently as our business grows. This hands-on role will initially focus on Education Savings Accounts (ESAs), with opportunities to expand into the Federal Scholarship Tax Credit (FSTC), scholarship-granting organizations (SGOs), and other state and federal education funding programs. You'll serve as the primary day-to-day operational contact for funding partners, including ESA wallet providers, scholarship-granting organizations, and program administrators. You'll manage the processes supporting transactions, payments, reimbursements, refunds, and reconciliations while coordinating with Product and Engineering to maintain reliable partner integrations. You'll work closely with our Public Funding Strategy Director and Business Development leadership to support new funding opportunities, operationalize partnerships, and ensure new programs are ready to launch and scale. You'll also collaborate with Finance, Customer Experience, Legal, and Compliance to resolve issues, improve workflows, and deliver a seamless experience for families. We're looking for a hands-on problem solver who combines operational rigor, technical aptitude, attention to detail, and strong partner relationship skills. You'll be someone who takes ownership of problems, anticipates issues, and continuously looks for ways to make operations more reliable and efficient. Core Responsibilities: - Manage funding partner operations: Serve as the primary operational contact for ESA wallet providers, scholarship organizations, state program administrators, and other funding partners. Maintain strong working relationships, coordinate day-to-day activities, and resolve operational issues. - Support partner onboarding and launches: Work with Business Development and Strategy to coordinate the operational onboarding and activation of new funding partners and programs, ensuring requirements, workflows, and systems are ready. - Manage transactions and reimbursements: Oversee operational processes for purchases, payments, reimbursements, refunds, cancellations, and reconciliations. Work with Finance and Customer Experience to investigate and resolve discrepancies and exceptions. - Maintain partner integrations: Coordinate with Product and Engineering to support reliable integrations with wallet providers and funding platforms, troubleshoot technical issues, and help test and implement system improvements. - Improve operational processes: Identify opportunities to streamline workflows, reduce manual effort, improve accuracy, and scale operations through automation and better tools. - Ensure operational readiness and compliance: Work with Legal, Compliance, Finance, and Operations to implement partner and program requirements, maintain documented procedures, and support ongoing participation in funding programs. - Coordinate cross-functional issue resolution: Proactively identify operational risks and work with internal teams and external partners to resolve issues before they materially affect families or program performance. - Monitor operational performance: Track transaction success rates, refund processing times, reconciliation accuracy, integration reliability, and partner issue resolution. Use performance data to identify recurring problems and drive improvements. Desired Experience & Skills: - Experience in operations, partner operations, payments operations, financial operations, or related roles. - Demonstrated ability to manage complex operational workflows, troubleshoot issues, and improve processes. - Experience working directly with external partners, vendors, or platform providers on day-to-day operational matters. - Comfort working with technical systems, integrations, transaction data, and operational reporting. - Strong organizational skills, attention to detail, and the ability to independently manage competing priorities. - Ability to collaborate effectively with Product, Engineering, Finance, Customer Experience, and other functional teams. - Strong communication skills and a practical, service-oriented approach to partner relationships and problem-solving. - Experience improving operational efficiency through process optimization, automation, or technology. Other Considerations: - Familiarity with ESA programs, education funding, scholarship organizations, or wallet providers. - Experience with payment processing, reimbursements, refunds, financial reconciliations, or transaction operations. - Experience supporting third-party platform integrations or API-based workflows. - Experience in online marketplaces, fintech, edtech, or technology-enabled services businesses. - Familiarity with workflow automation and AI-enabled operational tools. - Previous experience in startups or high-growth companies. Compensation: Outschool recruits across the US and Canada, and sets employee salaries to reflect local compensation and cost of living. In addition to base compensation, this role is eligible for equity and benefits. Additional details are provided during the interview process. This role is available in the following US Pay Zones: US Tiers US Tier 1: San Francisco Bay Area, New York City, and Seattle Metro US Tier 2: All California excluding San Francisco Bay Area, Boston Metro, Chicago Metro, Denver Metro, Austin Metro, Portland Metro US Tier 3: All other cities and states US Pay Zones US Tier 1: This position is not available in this pay zone US Tier 2: $130,760 - $145,000 US Tier 3: $124,200 - $138,000 Benefits & Culture: At Outschool, we believe that taking care of one another enables us to do our best work. To us that means: - Shared Financial Success: Competitive salaries, stock options, and retirement plans. - Health: Comprehensive medical, dental, vision, disability, and life insurance. - Wellness: Annual wellness stipend, access to coaching & therapy, and pet wellness plans. - PTO & Family Benefits: Generous PTO and family leave policies. - Hybrid & Remote-Friendly: Outschool has a distributed team across the U.S. and Canada and an office in San Francisco. Bay Area-based employees work in the office part of the week and receive commute-related benefits. Team members outside the Bay Area remain fully remote, with support for expensable home office setup and internet to stay connected no matter where you are. - Lifelong Learners: Annual budgets for professional development and DEI learning; budgets for children to take Outschool classes. - Community Impact: Outschool matches employee donations to eligible charities and supports Outschool.org http://Outschool.org’s nonprofit programs. Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience. If you require a reasonable accommodation to participate in the job application or interview process, please contact recruiting@outschool.com.   Benefits packages are included for full-time employees only. Please note benefits and perks may vary for employees based outside of the US and Canada.   Full-time employees must be a citizen or legal residents of the U.S. or Canada and reside in U.S. or Canada, unless specifically indicated otherwise.   Once you submit your application, Outschool will process your personal data to evaluate your candidacy for employment. Unless specifically indicated otherwise, we hire employees only in the U.S. and Canada. Applicants else where should be aware that we may discard your application upon submission or we may ask if you would like us to retain it later should there be consideration (this is not typical at all). If you are selected for interviewing, your data will be shared with interviewers and personnel involved in that process. If not hired, your application will be retained for one year in case there is another suitable role. You may opt out of this at any time. Please see our Employee/Applicant Privacy Notice https://outschool.com/pages/privacy-Emp for more detailed information. If applicable, as you progress through the process, we will be clear about what information is being asked for and what happens with that information.

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: Norwalk, Connecticut, United States Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a Financial Planning Manager to join our Corporate Accounting, Trading Services group, who will report to the Managing Director of Corporate Finance. The ideal candidate possesses a strong finance and analytical mindset. The candidate should be detail oriented and highly organized to manage several functions including trader compensation and financial planning/forecasting. Responsibilities Maintain and administer trader compensation database Calculate trader compensation on a monthly and annual basis Support monthly financial reporting and planning initiatives, as well as ad hoc projects Collaborate with Corporate Accounting team and auditors to complete year end audits for domestic and international entities Requirements 4+ years of relevant finance/accounting experience within a hedge fund, including responsibility for trader compensation, financial reporting, and analysis Bachelor’s degree in finance and/or accounting Strong analytical and modelling skills to effectively breakdown and map out legal compensation agreements Strong communication skills, both verbal and written, to effectively and succinctly present relevant data and issues Competent technology and data knowledge base to efficiently extract and manipulate data for reporting and analysis A team player with excellent project and time management skills to effectively work with our partners This role requires that all employees commute into our Rowayton, CT office Monday through Friday, and work 8:00 AM to 6:00 PM. Base Salary Range The anticipated base salary range for this position is $170,000 to $215,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Other Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation. Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan.  All employees also receive paid vacation and sick leave.  Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods.  Benefits are subject to change and may differ for non-U.S. roles.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHAT YOU'LL BE DOING - Design and implement robust embedded C/C++ firmware for our collars, running on FreeRTOS, with real constraints around power, memory and reliability. - Work on the communication systems that hold the fleet together: LoRa mesh networking, cellular connectivity, BLE, and the protocols layered on top (CoAP, OSCORE, protobuf) that keep devices talking to each other and to the cloud efficiently and securely. - Design and tune algorithms that live close to the hardware: signal processing for sensor data, timing and synchronisation across a mesh of devices, filtering and estimation problems where getting the maths right actually matters. - Take ownership of firmware end-to-end, from initial design, through implementation and testing, to mass deployment and ongoing production support across a large, live fleet. - Debug hard, intermittent, field-only problems using logs, telemetry and a genuine understanding of the system, not just guesswork. - Work closely with hardware engineers on the analog and digital interfaces your firmware depends on (sensors, radios, power circuitry) so the whole system, not just your code, actually holds up. - Contribute to the quality and reliability of the platform as a whole: better patterns, better tooling, better ways of catching problems before they reach a paddock. - Support and mentor other engineers through design conversations, code reviews and generous context sharing. WHAT YOU'LL BRING - Solid experience designing and delivering firmware for resource-constrained embedded devices, and the scars to show for it. - Strong C/C++ fundamentals and comfort working close to the hardware: interrupts, memory constraints, real-time behaviour, concurrency. - A genuine maths and/or physics background, or equivalent depth gained on the job. You should be comfortable reasoning about things like timing, signal behaviour, probability, or control systems, not just treating them as library calls. - Experience with wireless or networked communication systems (any of LoRa, BLE, cellular, mesh networking, or similar) and an interest in getting properly into the protocol details. - A strong sense of ownership. You want to understand why something works, not just that it works, and you follow problems all the way to root cause. - Comfortable working with low-level hardware and resource-constrained systems, and enjoy solving hard technical problems more than ticking boxes. - A strong team player who gives and receives feedback well. BONUS POINTS FOR - Experience with RTOS internals (FreeRTOS or similar), and reasoning about scheduling, priorities and timing guarantees. - Experience with GPS/GNSS systems, time synchronisation, or distributed systems that need tight timing coordination across many nodes. - Background in signal processing, control theory, estimation/filtering (Kalman filters, etc.), or applied statistics. - Experience with cellular or other IoT communication technologies (LTE-M, NB-IoT, eSIM, or similar) and the quirks of getting low-power devices reliably online. - Genuine curiosity about farming, animal welfare, or hardware that has to survive outdoors, unattended, on a live animal. We can teach the domain, but the curiosity has to be there already. OUR BENEFITS - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. - Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being. - Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave. OUR OFFICE FIRST APPROACH There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Europe / Asia Workplace: remote About the Company Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation. About You You are a hands-on compliance professional who understands how regulatory frameworks and licensing applications work from initial scoping through final submission readiness. You can turn complex regulations into clear guidance and client deliverables, manage both structured audit requests and fast-changing BD needs, and know when an issue requires escalation to senior Compliance or Legal. About the Role You will be the first-line compliance owner for AI outputs and related client deliverables. You will support stakeholder groups including client-facing teams and commercial services. You will turn the raw AI output into accurate and usable deliverables, and work as/with Engineering to convert recurring compliance work into reusable workflows and knowledge assets. Responsibilities Analyze and decompose regulatory frameworks and licensing requirements. Support licensing and regulatory-readiness projects, including scoping, applicability analysis, gap assessment, evidence requests, policy review, application preparation, and remediation tracking. Conduct first-line review of AI outputs for regulatory accuracy, evidence support, source traceability, and client suitability. Convert unstructured requests into clear scopes and deliverables, including compliance analyses, and review reports. Support compliance guidance, evidence checklists, submission-material mapping, and licensing deliverables. Work as/with Engineering to build regulatory mappings, templates, review rules, evaluation cases, and structured AI workflows. Escalate high-risk regulatory interpretations and final legal or compliance conclusions to senior reviewers or Legal. Requirements 3 or more years of Engineering experience in compliance, regulatory consulting, digital assets, fintech, financial services, compliance audit, or a law firm. Hands-on experience with at least 1 licensing application, regulatory registration, or end-to-end regulatory-readiness project. Strong understanding of regulatory analysis, evidence review, and licensing documentation. Ability to produce clear guidance, mappings, presentations, and client reports. Strong client communication and cross-functional project-management skills. Ability to manage urgent and ambiguous requests from client-facing team while maintaining quality. Strong written and spoken English; professional Chinese proficiency is preferred but not required. Familiarity with digital-asset regulation, VASP licensing or similar frameworks is preferred. Basic understanding of LLM limitations, hallucination risk, source traceability, and human-in-the-loop review. This role must be performed outside the United States. We are unable to consider candidates who will work from within the U.S.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview Ready to bring your paralegal skills to one of the world's most iconic play and entertainment companies? Hasbro is looking for a sharp, driven Paralegal with 4+ years of experience to join our Legal Department! In this role you'll be a key part of the corporate, litigation and compliance legal team. You'll partner with colleagues who handle commercial, employment, and litigation matters, and support compliance work including anti-bribery due diligence, code of conduct training, and conflict-of-interest reviews. You will also get a chance to have high visibility in the organization by assisting with corporate governance and securities compliance for a global, publicly traded company. If you like a fast pace, a high bar for accuracy, and seeing your work show up at the most senior levels of the company, this is your game! If your background looks a little different from what's described here but you can do the work, we encourage you to apply. Location and Work Arrangement This role is based at our Boston, Massachusetts office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Partner with attorneys and internal business teams in litigation matters, including document and witness discovery, case management, and research in commercial, employment, product liability, privacy and other types of claims. Lead anti-bribery due diligence for global third parties, conducting risk assessments, reviewing red-flag findings, and providing formal compliance clearance to mitigate corruption, sanctions, and reputational risks. Manage and update electronic code of conduct and compliance training, ensuring alignment with evolving legal, regulatory, and business requirements. Review conflict-of-interest disclosures, assess responses that need follow-up, and work with stakeholders to resolve potential conflicts. Assist in managing outside counsel relationships, including tracking invoices, budgets, and matter status. Support corporate securities matters, including assisting with SEC filings (Forms 10-K, 10-Q, 8-K, proxy statements), Section 16 reporting, insider trading compliance, and maintenance of the corporate disclosure calendar. Assist with corporate governance functions, including preparing board and committee materials, maintaining minute books, tracking director and officer information, and supporting annual meeting preparations. Draft, review, and manage a broad range of commercial agreements, including vendor contracts, NDAs, services agreements, and other transactional documents; assist with maintaining contract management systems and track key deadlines and renewals. Research federal and state securities regulations and commercial law developments to support attorney advice and strategy. Respond to legal inquiries from Finance and business partners regarding securities compliance and contract obligations. What You'll Bring 4+ years of relevant paralegal experience in a law firm or in-house legal department. Strong interpersonal skills, sound judgment, and commitment to teamwork. Ability to work effectively with attorneys, finance, and business managers at all levels. Demonstrated ability to prioritize a substantial and diverse workload and meet deadlines in a fast-paced environment. Advanced proficiency in Microsoft 365 (Word, Excel, PowerPoint, Outlook, SharePoint, Teams) and external platforms such as Workiva, Diligent, LRN and Docusign. Exceptional organizational, analytical, and written communication skills with the ability to handle sensitive and confidential information with discretion. Ability to be forward-looking and to develop new processes or adjust existing processes, as needed. What Sets You Apart Associate's Degree or Paralegal Certificate preferred; Bachelor's Degree a plus. Paralegal experience spanning corporate securities or commercial transactions in a law firm or in-house legal department. Expertise in anti-bribery and corruption due diligence, including risk assessments, red-flag analysis, and compliance clearance for third-party engagements. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $73,600 — $110,400 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As one of Harvey’s founding SMB Account Executives, you'll play a pivotal role in driving growth within the legal and professional services markets. You will be responsible for establishing new business relationships with small law firms and in-house legal teams, deeply understanding their challenges, and delivering AI solutions that transform how they work. By combining a high-velocity sales motion with a consultative, solution-driven approach, you’ll set the foundation for how we win in SMB and create long term impact for our clients. We’re looking for someone who thrives in fast-paced, early-stage environments, is energized by building from scratch, and is passionate about bringing Harvey’s mission to life. WHAT YOU'LL DO - Own your book of business by prioritizing warm leads and a named account list to maintain a high velocity sales motion. - Manage the new business lifecycle from prospecting to qualifying, validating Harvey’s solution, and contracting. - Achieve and exceed revenue targets and other key sales metrics. - Build strong relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs. - Conduct high velocity, tailored client evaluations, including product demonstrations and presentations. - Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet SMB customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals. - Proactively develop tactics, collateral, and messaging to improve the SMB team’s performance, documenting learnings that can be applied across accounts. WHAT YOU HAVE - Proven track record of selling complex software solutions, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology at high velocity. - Capable of independently leading a sales cycle from start to finish - Ability to independently manage a pipeline, accurately forecast key sales performance metrics, and consistently maintain CRM hygiene - Ability to lead a multi-threaded sale with executive stakeholders – especially the ability to convey technical concepts to non-technical audiences. - Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work. Interest in the legal profession and helping lawyers do their jobs better and more efficiently. - Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals. - Energized by contributing to the development of our team, sales processes, and culture, refining the value proposition of our solutions and creating sales resources to drive our success. COMPENSATION $180,000 OTE 50/50 Split DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX About the role As a Senior Product Security Engineer, you will lead security assessments and vulnerability operations for Cloudflare’s core software products. In this role, you will analyze system architecture, threat model new features, and ensure that product-related security findings are accurately triaged, routed to the correct engineering owners, and mitigated within our SLAs. On any given day, you might conduct a deep-dive security review on a new feature design, triage a complex bug bounty submission, or work directly with engineering teams to resolve vulnerabilities from different sources like bug bounties, SAST, fuzzing and penetration tests. You will also work autonomously to identify areas where our manual processes slow down. You will write code and integrate AI/LLM solutions to automate initial triage and data enrichment, building tools that help the team handle security findings at scale. In short, your work will sit at the intersection of Product Security, Vulnerability Operations, and internal AI Tooling. Ideally, you have experience in conducting academic/vulnerability research with a focus on systems security. Responsibilities Autonomously Drive AI Security Innovation: Proactively identify gaps in our current capabilities and independently architect, build, and deploy AI-driven solutions to automate code analysis, optimize triage, and scale Product Security workflows. Security Architecture & Threat Modeling: Lead deep-dive security reviews and complex threat modeling sessions across distributed systems, embedding strict security requirements into product designs before development begins. Product-Focused Vulnerability Management: Own the lifecycle of product security findings. Ensure vulnerabilities are accurately triaged, mapped to the correct engineering owner, and mitigated in alignment with established SLAs. Bug Bounty Leadership: Oversee the technical triage and validation of Cloudflare’s external Bug Bounty program, prioritizing submissions based on real-world exploitability and business risk. Pentest Strategy & Support: Shape the scope of internal and external penetration testing engagements, serving as the technical liaison to ensure findings are deeply understood and remediated by development teams. Strategic Influence & Mentorship: Act as a force-multiplier for security across Cloudflare; mentor junior engineers, cultivate security champions within engineering organizations, and establish modern, paved-road developer guardrails. Desirable Skills, Knowledge, and Experience: Senior-Level Product/AppSec Expertise: Extensive, battle-tested experience in Product or Application Security within large-scale distributed cloud environments or SaaS platforms. Practical AI & Automation Engineering: Demonstrated ability to build production-grade automation scripts and tools . Must possess hands-on engineering experience leveraging AI/LLMs to solve operational or technical challenges. Advanced Threat Modeling & Risk Analysis: Mastery of threat modeling methodologies (e.g., STRIDE) and an analytical mindset capable of translating complex theoretical risks into prioritized, actionable business context. Vulnerability Lifecycle Ownership: Proven track record of managing, routing, and driving the remediation of vulnerabilities across multi-stakeholder engineering organizations while strictly enforcing SLAs. High Influence & Communication: Superb cross-functional leadership skills; the ability to confidently influence senior engineering leaders, resolve ownership ambiguity, and champion security initiatives without explicit authority. Bonus points: Offensive Mastery: Familiarity with offensive security tooling and modern exploitation techniques used during professional penetration testing. Program Management Experience: Experience scaling crowdsourced security programs (e.g., HackerOne, Bugcrowd) or optimizing agile project management workflows within JIRA. Experience in integrating hardware security features into production code bases Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: United States Workplace: Remote About the team The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the infrastructure to transform ClickHouse into a fully functional serverless database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability. What will you do? - Build a cutting-edge cloud-native database platform on top of the public cloud. - Work on our in-house Kubernetes operator to support seamless infrastructure management. - Improve the metrics pipeline and build systems to generate better statistics and recommendations. - Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements. - Architecting and building a robust, scalable, and highly available distributed infrastructure About you: - 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. - Production experience with programming languages like Go, C++ or Java - You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2). - Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). - You are passionate about solving data problems at Scale. - Experience working with distributed systems - You have excellent communication skills and the ability to work well within and across engineering teams. #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.