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Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model-and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities : Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend practical serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV -cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill/decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization queuing, request characteristics, and KV-cache locality while meeting latency and reliability targets Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism - including wide expert parallelism (WideEP) - with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring for TTFT , TPOT , tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel engineers and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves : Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM , or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication skills and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice - to - have s : Experience with quantization-aware training, post-training quantization, FP8 , INT8 , INT4 , NVFP4 , MXFP4 , AWQ , GPTQ , SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate's primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, Infiniband, or RoCE. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities : Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves : A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice - to - have s : First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is building an AI training and model post-training capability for frontier model improvement. This role owns the infrastructure that makes large-scale training and RL experiments possible, reliable, reproducible, and efficient. The work sits at the intersection of distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. A Senior Machine Learning Engineer owns substantial ML work end to end. They can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. They are deeply hands-on and can independently debug both model-behavior failures and distributed training failures. Your responsibilities : Design and run model-training and post-training experiments, including SFT , continued pretraining, preference optimization ( DPO /IPO/ KTO ), and RL methods such as RLHF / RLAIF , PPO , and GRPO . Build reward functions, judge models, verifiers, task environments, and evaluation sets for reasoning, coding, tool use, and agentic workflows. Create synthetic data and data pipelines, including teacher-student generation, self-play, rejection sampling, filtering, and quality scoring. Analyze model-behavior failures and turn them into targeted data, reward, or algorithm improvements. Build and maintain distributed training and RL infrastructure using frameworks such as Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, verl, slime, AReaL, or OpenRLHF. Implement and debug parallelism strategies (tensor, pipeline, sequence/context, expert, and data parallelism) and build reliable rollout, reward-serving, checkpointing, and experiment-orchestration components. Profile and improve GPU utilization, memory usage, communication efficiency, training throughput, and inference/serving performance. Design rigorous evaluations and ablations for capability, instruction following, reasoning, tool use, safety, and regression risk. Write clear experiment plans, design docs, benchmark reports, and runbooks, and partner across research and platform teams. Must-haves : Strong Python and PyTorch engineering skills, with the ability to move quickly from idea to experiment to working system. Hands-on experience across at least two of: model training, post-training/ RL , applied modeling, data pipelines, or large-scale ML systems. Ability to design rigorous experiments with baselines, ablations, metrics, and failure analysis. Practical understanding of modern LLM behavior, instruction tuning, preference optimization, and evaluation challenges. Practical understanding of transformer training bottlenecks, memory pressure, communication overhead, and checkpointing. Ability to reason quantitatively about model quality, throughput, utilization, reliability, cost, and research velocity. Strong communication skills and ability to collaborate with researchers, engineers, and leadership. Nice - to - have s : Experience with LLM post-training, RL , agents, reward modeling, synthetic data, or model evaluation. Experience with RL frameworks or pipelines such as verl, slime, AReaL, OpenRLHF, TRL , or custom PPO / GRPO / RLHF systems. Experience with Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, Slurm, or Kubernetes on large GPU clusters. Familiarity with NCCL , CUDA , Triton, Nsight, InfiniBand/ RDMA , and H100/H200/B200 clusters, or with model serving and inference optimization. Publications, open-source contributions, or production impact in LLM post-training, RL , reasoning, coding models, synthetic data, distributed training, or evaluation. Experience designing agent environments, tool-use tasks, or verifier-based rewards. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: 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: 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 detail-oriented self-starter with a strong interest in regulatory compliance, digital assets, and AI. You are comfortable researching unfamiliar regulatory topics, organizing complex information, and producing clear first drafts. You are eager to learn how licensing applications and compliance reviews work in practice and can support both structured audit requests and fast-changing client-facing needs. About the Role You will support the Engineering team in regulatory research, licensing analysis, AI output review, and client-deliverable preparation. You will work with client-facing teams, compliance reviewers, and Engineering to organize regulatory knowledge, prepare initial drafts, and convert recurring compliance work into reusable mappings, templates, and workflows. All material regulatory conclusions and client deliverables will be reviewed by an experienced compliance professional. Responsibilities Research and summarize regulatory frameworks and licensing requirements. Support licensing and regulatory-readiness projects, including applicability research, gap analysis, evidence requests, policy review, and application-document preparation. Organize regulatory requirements into structured modules, evidence categories, checklists, and mappings. Review AI outputs for factual consistency, source traceability, missing information, and formatting issues. Prepare initial drafts of compliance analyses, evidence guidance, client reports, pitch-deck content, and review materials. Support the maintenance of regulation-to-service mappings, evidence checklists, and submission-material reuse mappings. Organize customer-provided materials and identify potential evidence gaps for reviewer confirmation. Record reviewer feedback and update templates, evaluation cases, and compliance knowledge assets. Support coordination and request tracking across client-facing teams, compliance reviewers, and Engineering. Escalate unclear regulatory interpretations and unsupported conclusions to experienced reviewers. Requirements Current enrollment in or recent graduation from a program in law, finance, accounting, risk management, public policy, business, computer science, or a related field. Strong research, analytical, and structured-writing skills. Strong attention to detail, particularly when reviewing regulatory sources, citations, and customer materials. Ability to organize complex information into clear checklists, summaries, presentations, and reports. Ability to manage multiple assignments and meet deadlines. Strong written and spoken English; professional Chinese proficiency is preferred but not required. Interest in digital-asset regulation, financial compliance, licensing, or AI-assisted compliance workflows. Familiarity with digital-asset regulation, VASP licensing, or similar regulatory frameworks is preferred. Previous internship, coursework, or project experience in compliance, law, audit, fintech, digital assets, or regulatory research is preferred. Basic understanding of LLM limitations, hallucination risk, source traceability, and human-in-the-loop review is preferred. This role must be performed outside the United States. We are unable to consider candidates who will work from within the U.S.

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; New York, New York About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities As a Presales Solution Architect , you will be part of Workato’s global solution consulting team and architecture community and own the technical alignment with the customer during the pre-sales lifecycle through workshops and interactions that define the customer’s future state for AI agents. If this sounds right up your alley, please apply. We look forward to getting to know you! In this role, y ou will also be responsible to: Own the technical diagnosis, prescription, and validation phases of the sales cycle and advise customers consultatively. Effectively team with AEs, Solution Architects, and other functions to evangelize our platform, approach, and architecture tailored to the customer’s business and drive the technical sales stages to completion. Work closely with Customer Success to make the solution a reality for the customer. Articulate and educate on business, technical and architectural concepts to a variety of audiences, including business and technical teams. Create and deliver custom product demonstrations to support the sales cycle Perform business and technical discovery with customer prospects and be able to architect/build proposed solutions using Workato products Successfully manage and execute technical workshops and proof of concepts (POCs), on-site or remote Able to respond to functional and technical elements of RFIs/RFPs Collect feedback from the field, synthesize, analyze and channel to Product Management and Engineering for product roadmap Responsible for representing the product to customers and at field events such as conferences, seminars, etc. Requirements Qualifications / Experience / Technical Skills BA/BS or equivalent education - Computer Science degree Good pre-sales experience in a SaaS/iPaas organization Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs and Databases Experience with cloud technologies - iPaaS, SaaS applications, cloud infrastructure Soft Skills / Personal Characteristics Ability to learn new concepts, technologies and solve problems. Strong interpersonal skills with the ability to convey and relate ideas to others and work collaboratively to get things done. Excellent presentation abilities and composure in front of all levels of technical and business audiences. Ability to lead architectural discussions. A passion for technology and translating that passion into business impact for customers. Excellent verbal communication, written communication, and presentation skills in front of all audiences. Ability to travel as needed and to work flexible hours throughout the sales territory. (REQ ID: 2793)

Location: Toronto, Canada Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Vancouver, Canada Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Austin, TX Atlanta, GA Denver, CO Seattle Washington DC Job Title: Senior Systems Engineer, Cloudflare Tunnel Role Summary: As a Senior Systems Engineer on the Cloudflare Tunnel team, you will drive the technical vision and architect for future scale, ensuring our product securely connects any machine to the Cloudflare network. You will be responsible for the strategic design of systems across our high-performance global edge network and microservice clusters, providing cross-functional influence to ensure long-term stability and performance. In this leadership role, you will guide capacity planning and the development of next-generation features for Cloudflare Tunnel, Mesh and Zero Trust Network. You will join a team of bright, hard-working, and supportive engineers who are passionate about their craft, and you will be comfortable operating in a fast-paced but sane work environment. Role Responsibilities Lead the architecture and implementation of complex software systems that comprise Cloudflare Tunnel, including the cross-platform, open-source client and high-performance edge services. Participate in all stages of the software development lifecycle, from designing and documenting systems to writing code, automated tests, and monitoring production deployments. Strategically influence and collaborate with cross-functional stakeholders, including security, network engineering, SRE, and product management, to design and scale technical solutions. Review work from your peers throughout all stages of the development lifecycle to ensure high-quality, maintainable code. Foster a culture of technical excellence through mentorship, proactive code reviews, and establishing engineering standards across the team to ensure high-quality, maintainable code. Debug issues in complex systems and contribute to the maintenance and improvement of operational health. Drive the long-term technical roadmap and identify opportunities for system-wide improvements, ensuring our architecture remains resilient as we scale. Work with a wide range of technologies and programming languages, including Go, Rust, and Typescript, as well as various databases (SQL and No-SQL), Docker, and Kubernetes. Role Requirements 8+ years of experience in backend software development with a focus on building  secure and highly available distributed systems. Strong programming skills in Go, Rust, C++, or a similar systems-level language. Knowledge of modern Unix/Linux development and runtime environments. Grasp of networking protocols in Layers 3-7 of the OSI Model and experience with network programming. Familiarity with microservices and APIs, including RESTful design. Basic understanding of software security and encryption principles. Ability to debug and troubleshoot issues in complex distributed systems. Experience with monitoring and logging tools like Prometheus and Grafana. Experience with containerization and orchestration technologies, such as Docker and Kubernetes. Strong interpersonal and communication skills, demonstrating empathy, teamwork and a sense of ownership. Compensation Compensation may be adjusted depending on work location. For Denver based hires: Estimated annual salary of $168,000 - $231,000. For Washington and Washington DC based hires: Estimated annual salary of $185,000 - $254,000. Application Deadline: December 1, 2026 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: 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, Texas About the role Created in January 2025, our centralized Developer Go-to-Market (GTM) organization functions as a "speedboat" to maintain focus, control direction, and iterate quickly. Our mission is to build long-term relationships with developers by addressing their unique needs and challenges with specialized attention and resources. Our team operates across four core pillars: Marketing, Developer Relations, Growth Programs, and Sales. These functions work in close collaboration to support customers throughout their journey, from raising awareness and inspiring new use cases to driving platform adoption, consumption, and scaling customer relationships. Each function amplifies the impact of the others through strategic partnerships and shared insights. What you'll do You'll own the GTM-facing software and data products our sales motion runs on, end to end. That includes the data foundation underneath it and the signals that flag which accounts a rep should act on and when. You'll also lead our hardest cross-functional projects, the ones that span many teams and systems. You'll drive them to delivery, keep partner teams on track, and do it with a lot of autonomy. Day to day you'll improve how we visualize pipeline, build sales tools that flag the right moment to reach out to a customer, and make the developer buying journey smoother. The work is a mix of data engineering, full-stack product, and applied AI, and you'll build it on Cloudflare's own developer platform. This role fits someone who works well in a fast-paced, ambiguous environment, likes turning messy business problems into working software, and can juggle several priorities at once. Responsibilities Design and implement features in a Golang, Typescript and SQL. Build and operate production services on Cloudflare Workers and Kubernetes. Own the data foundation including Query Engine, Workflows, MCP/APIs and other internal facing products and services. Own projects end to end; from design docs and schema changes through implementation, testing, deployment, and production monitoring. Participate in on call rotations, drive incident resolution, and write postmortems that improve reliability. Use AI tools extensively to accelerate development, debugging, and operational tasks. We expect engineers to leverage AI as a core part of their workflow. Collaborate across teams to coordinate capacity planning, API contracts, and cross cutting initiatives. Embed with Sales, Marketing, Developer Relations (DevRel), and Growth to turn fuzzy operational pain into shipped software. Help set the standard for GTM engineering organization wide. Desirable Skills, Knowledge, and Experience: At Cloudflare, we know that great candidates come from diverse backgrounds with non-linear paths. You don’t need to tick every single box to be right for this role. If you are excited about building a better Internet and ready to make an impact, please apply. 10+ years of software engineering experience with a demonstrated history of leading complex, organization-wide data initiatives. Deep expertise in building distributed systems and production infrastructure at scale, with proficiency in Go and strong working knowledge of TypeScript. Exceptional ability to navigate ambiguous problem spaces, identify the highest-impact technical work, and drive projects autonomously from conception through adoption—balancing pragmatic execution with long-term technical excellence. Deep analytical SQL and data modeling experience. Proven ability to manage complexity even at thousands of tables. Able to debug database and query performance issues using profiling tools and source code where applicable. Please be prepared to discuss specific examples of organization-wide technical initiatives you've led, particularly distributed systems or data infrastructure and their measurable business impact. Nice to have: Previous experience as a Principal Engineer, Staff+ engineer, or technical leader on platform, infrastructure, or task force teams that operate outside traditional product roadmaps with a focus on enabling GTM organizations. Columnar/OLAP or lakehouse experience (ClickHouse, DuckDB, BigQuery, Snowflake, Iceberg, Starrocks).Familiarity with the Salesforce data model and CRM/API integrations. Familiarity with deploying to bare metal and Kubernetes. Experience on Cloudflare Workers / edge platforms and analytics-engineering (dbt) workflows. Background in SaaS or product-led growth (PLG) GTM motions. Compensation Compensation may be adjusted depending on work location. 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: District of Columbia; New York, NY Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team You'll join Rain's lean legal team and take a leading role in our M&A and corporate development efforts as we scale globally. You'll operate as a strategic partner to Rain's leadership — identifying, structuring, negotiating, and closing acquisitions, investments, and other strategic transactions — while also supporting the broader corporate legal function across a fast-moving, heavily regulated fintech platform. What you'll do - Lead M&A execution: manage all legal aspects of acquisitions, divestitures, and strategic investments from LOI through closing and post-closing integration, including due diligence coordination, deal structuring, and negotiation of definitive agreements. - Draft and negotiate transaction documents: purchase agreements, merger agreements, and ancillary documents (escrow agreements, transition services agreements, employment and consulting agreements, IP assignments), plus board and stockholder consents. - Coordinate due diligence: partner cross-functionally with Finance, Compliance, Risk, Product, and Engineering to identify and assess deal risks and structure appropriate protections. - Advise on corporate structure and expansion: support entity formation and structuring for international expansion, working with local counsel as Rain enters new markets. - Support regulatory approvals in M&A, including change-of-control filings with state regulators (e.g., money transmitter license transfers) or foreign financial authorities (e.g., EMI, VASP, or payment institution license approvals). - Support general corporate matters, including drafting and negotiating intercompany agreements, advising on corporate structuring, and handling other corporate legal needs as they arise. - Collaborate across the legal team: partner with colleagues focused on licensing, compliance, and regulatory matters to align corporate transactions with Rain's regulatory obligations and licensing requirements. You are likely to succeed if you have: - 4 to 8 years of experience in corporate law, with meaningful M&A transaction experience (law firm, in-house, or a combination). - Hands-on experience drafting and negotiating acquisition agreements, investment documents, and related ancillary agreements. - Strong understanding of corporate governance, entity management, and Delaware corporate law. - The ability to manage multiple workstreams and competing deadlines in a fast-paced environment. - Clear, confident communication skills, with the ability to translate complex legal concepts for business stakeholders. - Strong hands-on drafting skills, with the ability to handle a meaningful share of contract and transaction drafting in-house. - A JD and admission to at least one U.S. state bar. Bonus attributes: - Ability to support corporate governance: maintain corporate records and entity management across Rain's global subsidiary structure. - Ability to negotiate commercial contracts. - Experience at a fintech, payments, crypto, or digital assets company. - Familiarity with cross-border M&A or international entity structuring. - Background in venture capital transactions (SAFEs, convertible notes, priced rounds). - Experience working on inter-company agreements and corporate structuring. - SEC reporting or compliance experience. Things that enable a fulfilling, healthy and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: New York, Chicago, or Remote About Us: When someone is out of work with a serious injury or illness, the last thing they need is a claims process that's slow, confusing, or unfair. That's what EvolutionIQ is here to fix. EvolutionIQ builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently, so more people impacted by injury or illness can get back to their lives with dignity and stability. As part of CCC Intelligent Solutions (NASDAQ: CCC), we pair AI-native product development with something almost no one else in this market has: 40 years of proprietary data and deep relationships with the largest, most complex carriers in the world. It's a rare combination, and it's what lets us build products others can't. Our people come first, and we think it shows. We've been named one of Inc.'s Best Workplaces three years running, plus Built In's Best Places to Work in 2025 and 2026. Your Impact: This is a hands-on Staff Engineer role that impacts a whole business. You'll help architect systems and set the engineering best practices others build on, think hard about where and how to bring AI to bear (the right tools, in the right systems, at the right time), and write the code that turns those decisions into value for our customers. There's serious architecture in this work: assessing complex, sometimes messy legacy platforms, deciding what to keep, rebuild, or replace, and setting the technical direction. And there's serious coding: building the production systems that direction turns into, and prototyping new ideas from scratch. The two reinforce each other, and we're looking for someone who wants both the architectural judgment and the daily craft of writing excellent code. Key Responsibilities: Architect systems and write the code that makes them real, bringing EvolutionIQ's AI-native products into CCC's auto casualty business Dig into complex, sometimes messy legacy systems; decide what to rebuild, replace, or keep; and drive that work hands-on Build backend architectures that hold up in production, moving between fast prototypes and stable, long-lived systems, with AI and agentic tools core to how you work Set the engineering standard (best practices, design docs, code reviews, consistency) in close partnership with Product, Data Science, and Data Engineering Requirements: 8+ years of engineering experience, with a track record of owning features end to end: partnering with Product, scoping, designing data models, implementing, and living with the system long-term A strong hands-on coder in our stack: Python primarily, with TypeScript / JavaScript across the front end Deep architectural experience with existing systems, not just greenfield: evaluating, modernizing, and replatforming, including multi-tenant, multi-user backends and solid relational database design Experienced with AI-assisted and agentic engineering tools, and can point to real work you've shipped faster because of them Ask the right questions to understand a customer's business problem, and connect your technical work to business impact A crisp communicator with the emotional intelligence to build trust across teams Nice to Have: Experience across both startups or scale-ups and larger enterprises, which mirrors the EvolutionIQ-into-CCC nature of this work Familiarity with insurance, claims, or the auto casualty space Work-life, Culture & Perks: Compensation : The base salary range is $245-270K , with flexibility depending on a candidate’s background and experience plus annual bonus plan Well-Being : Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family : Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life : Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training : $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement. Sponsorship : We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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

Location: Poland Workplace: remote Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a  Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For: We are seeking passionate, proactive, and results-driven Senior PPC Specialist who is excited to contribute to a fast-growing and innovative company, drive lead generation and brand awareness paid campaigns for Creatio, develop and execute a data-driven growth marketing strategy for our campaigns globally. The ideal candidate is someone who thrives in a dynamic environment, embraces challenges as opportunities, and is motivated to bring fresh ideas to the table. Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated. Team composition: This role sits within the Digital Marketing // PPC Team and reports directly to the Digital Strategist. Responsibilities: Campaign Management & Optimization: Create, manage, and optimize all digital advertising campaigns, including but not limited to Facebook, Instagram, Google, and LinkedIn. Make decisions about optimizing and stopping campaigns, and coordinate these decisions with stakeholders. Strategic Planning: Plan and schedule marketing campaigns across different channels and regions. Collaborate with internal teams to develop and execute campaigns effectively, and provide recommendations on personalization and optimization strategies. Data Analysis & Reporting: Create and deliver reports of KPIs. Measure, monitor, and communicate key metrics, and analyze the effectiveness of campaigns across channels to maximize results and adjust campaign structure when needed. Paid Ads Strategy Development: Identify new approaches and strategies for paid advertising. Coordinate with management on strategy planning and execution, and implement AI-driven insights to improve ROI and campaign efficiency. LLM Ads: Launch and optimize advertising campaigns on ChatGPT and other LLM platforms. Requirements: Proven experience managing LinkedIn, Google Ads, Search Campaigns, Google Display, Microsoft Advertising, Facebook, and other paid media channels. Experience with A/B testing and Google Ads experiments. Strong proficiency in Google Analytics (GA4). Experience in the B2B or software development industry is highly preferred. Ability to launch campaigns from scratch, including pixel implementation and conversion setup. Data-driven analytical mindset with a keen eye for detail and a focus on optimization. Strong collaboration skills with digital, content, and design teams. Strong project management skills to handle multiple campaigns simultaneously, including media planning, budgeting, and financial requests. Proficiency with analytics and optimization tools such as Keyword Planner, plus advanced Excel skills (PivotTables, VLOOKUP, and similar functions). Experience working with CRM systems and the ability to work with large data sets to extract meaningful insights. Hands-on experience in performance analysis and lead generation funnel tracking. Experience in market research, competitor analysis, and user feedback analysis, with a proven ability to plan and execute full-funnel acquisition strategies. Knowledge of managing advertising campaigns on AI platforms such as ChatGPT and other LLMs. Nice to have: Google Tag Manager expertise and experience managing YouTube. What you should expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being : We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package : We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Ukraine Workplace: remote Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation.With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a  Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are seeking passionate, proactive, and results-driven Senior PPC Specialist who is excited to contribute to a fast-growing and innovative company, drive lead generation and brand awareness paid campaigns for Creatio, develop and execute a data-driven growth marketing strategy for our campaigns globally. The ideal candidate is someone who thrives in a dynamic environment, embraces challenges as opportunities, and is motivated to bring fresh ideas to the table.Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated.The role is based in Ukraine.Team composition:This role sits within the Digital Marketing // PPC Team and reports directly to the Digital Strategist.Responsibilities:Campaign Management & Optimization: Create, manage, and optimize all digital advertising campaigns, including but not limited to Facebook, Instagram, Google, and LinkedIn. Make decisions about optimizing and stopping campaigns, and coordinate these decisions with stakeholders.Strategic Planning: Plan and schedule marketing campaigns across different channels and regions. Collaborate with internal teams to develop and execute campaigns effectively, and provide recommendations on personalization and optimization strategies.Data Analysis & Reporting: Create and deliver reports of KPIs. Measure, monitor, and communicate key metrics, and analyze the effectiveness of campaigns across channels to maximize results and adjust campaign structure when needed.Paid Ads Strategy Development: Identify new approaches and strategies for paid advertising. Coordinate with management on strategy planning and execution, and implement AI-driven insights to improve ROI and campaign efficiency.LLM Ads: Launch and optimize advertising campaigns on ChatGPT and other LLM platforms.Requirements:Proven experience managing LinkedIn, Google Ads, Search Campaigns, Google Display, Microsoft Advertising, Facebook, and other paid media channels. Experience with A/B testing and Google Ads experiments.Strong proficiency in Google Analytics (GA4).Experience in the B2B or software development industry is highly preferred.Ability to launch campaigns from scratch, including pixel implementation and conversion setup.Data-driven analytical mindset with a keen eye for detail and a focus on optimization.Strong collaboration skills with digital, content, and design teams.Strong project management skills to handle multiple campaigns simultaneously, including media planning, budgeting, and financial requests.Proficiency with analytics and optimization tools such as Keyword Planner, plus advanced Excel skills (PivotTables, VLOOKUP, and similar functions).Experience working with CRM systems and the ability to work with large data sets to extract meaningful insights.Hands-on experience in performance analysis and lead generation funnel tracking.Experience in market research, competitor analysis, and user feedback analysis, with a proven ability to plan and execute full-funnel acquisition strategies.Knowledge of managing advertising campaigns on AI platforms such as ChatGPT and other LLMs.Nice to have: Google Tag Manager expertise and experience managing YouTube.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type. Who We’re Looking For: We are seeking passionate, proactive, and results-driven Senior PPC Specialist who is excited to contribute to a fast-growing and innovative company, drive lead generation and brand awareness paid campaigns for Creatio, develop and execute a data-driven growth marketing strategy for our campaigns globally. The ideal candidate is someone who thrives in a dynamic environment, embraces challenges as opportunities, and is motivated to bring fresh ideas to the table. Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated. Team composition: This role sits within the Digital Marketing // PPC Team and reports directly to the Digital Strategist. Responsibilities: Campaign Management & Optimization: Create, manage, and optimize all digital advertising campaigns, including but not limited to Facebook, Instagram, Google, and LinkedIn. Make decisions about optimizing and stopping campaigns, and coordinate these decisions with stakeholders. Strategic Planning: Plan and schedule marketing campaigns across different channels and regions. Collaborate with internal teams to develop and execute campaigns effectively, and provide recommendations on personalization and optimization strategies. Data Analysis & Reporting: Create and deliver reports of KPIs. Measure, monitor, and communicate key metrics, and analyze the effectiveness of campaigns across channels to maximize results and adjust campaign structure when needed. Paid Ads Strategy Development: Identify new approaches and strategies for paid advertising. Coordinate with management on strategy planning and execution, and implement AI-driven insights to improve ROI and campaign efficiency. LLM Ads: Launch and optimize advertising campaigns on ChatGPT and other LLM platforms. Requirements: Proven experience managing LinkedIn, Google Ads, Search Campaigns, Google Display, Microsoft Advertising, Facebook, and other paid media channels. Experience with A/B testing and Google Ads experiments. Strong proficiency in Google Analytics (GA4). Experience in the B2B or software development industry is highly preferred. Ability to launch campaigns from scratch, including pixel implementation and conversion setup. Data-driven analytical mindset with a keen eye for detail and a focus on optimization. Strong collaboration skills with digital, content, and design teams. Strong project management skills to handle multiple campaigns simultaneously, including media planning, budgeting, and financial requests. Proficiency with analytics and optimization tools such as Keyword Planner, plus advanced Excel skills (PivotTables, VLOOKUP, and similar functions). Experience working with CRM systems and the ability to work with large data sets to extract meaningful insights. Hands-on experience in performance analysis and lead generation funnel tracking. Experience in market research, competitor analysis, and user feedback analysis, with a proven ability to plan and execute full-funnel acquisition strategies. Knowledge of managing advertising campaigns on AI platforms such as ChatGPT and other LLMs. Nice to have: Google Tag Manager expertise and experience managing YouTube. What you should expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being : We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package : We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.