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Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role 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 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 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 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, queueing, 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 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 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 and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving 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. 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: Amsterdam, Netherlands; Berlin, Germany; Israel; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role 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 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 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 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, queueing, 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 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 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 and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving 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. 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: Limassol, Cyprus Workplace: remote Mayflower is an international technology company behind products used by millions of people worldwide. For more than 10 years, we've been growing profitable global businesses, bringing together talented professionals across technology, product, marketing, and operations. We are looking for a Compliance Operations Manager to take end-to-end ownership of traffic and content compliance across one of our digital platforms. You will develop and operate a scalable compliance framework for monitoring affiliate partners and digital traffic sources, identifying prohibited or risk activity, investigating incidents, and continuously improving preventive and detective controls. This is a hands-on ownership role for someone who can independently assess risks, establish effective processes, and turn compliance requirements into practical operational and technical solutions. You will work closely with Product, Engineering, Data, Legal, Risk, and commercial teams. Job Responsibilities Own, develop, and update the traffic and content compliance framework, policies, SOPs, and risk-scoring mechanisms. Audit digital traffic channels, landing pages, and promotional materials to detect prohibited content, cloaking, redirect manipulation, and suspicious attribution patterns. Lead root-cause investigations into compliance violations, coordinate corrective actions, enforce partner restrictions, and track remediation. Partner with Product, Engineering, and Data teams to define requirements for automated risk-scoring, internal compliance tools, and external monitoring solutions. Track compliance metrics, analyse recurring risk trends, and deliver clear, decision-ready reporting to management. Ensure documentation remains audit-ready for payment partners and regulators; stay updated on payment-network and industry regulatory shifts. Provide functional direction and quality standards for compliance analysts, and deliver internal training on monitoring and enforcement processes. You’ll thrive here if you have 5+ years in Compliance Operations, Risk, Fraud Prevention, or Traffic Quality (hands-on experience in traffic compliance, affiliate marketing, and ad networks required). Solid understanding of tracking signals (URLs, redirects, referrers, cookies, device fingerprints) and ability to assess risk using incomplete attribution data. Proven background conducting operational audits, implementing SOPs/compliance policies, and managing root-cause incident investigations. Experienced in team leadership, managing cross-functional initiatives, and translating compliance needs into Product, Engineering, and Data requirements. Ability to define compliance KPIs, build clear executive reports, and make sound, analytical decisions under pressure. Upper-Intermediate English or higher. Nice to Have: Knowledge of payment provider, acquiring bank, or card network compliance standards. Experience detecting cloaking, brand misuse, redirect manipulation, and prohibited content. Familiarity with OSINT, web scraping, SQL/Python, BI tools, or LLM-based automation. Relevant professional certifications (compliance, auditing, risk, or fraud prevention). What Success Looks Like A risk-based traffic and content compliance framework is actively implemented and enforced. High-risk traffic sources and compliance incidents are quickly identified, audited, and resolved. Automated and manual monitoring controls effectively reduce repeat violations. Management receives clear, data-driven visibility into traffic compliance risks. All processes, evidence, and records remain continuously audit-ready for external partners. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: Full remote work. Competitive compensation with a service contract. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most. Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage. Career growth in a fast-scaling project with opportunities to influence technical decisions. A culture of recognition: our peer reward program celebrates contributions from across the team. This opportunity is also available for those who already live in Limassol, Cyprus. EU-based employment contract and a 3-year Cyprus work visa. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. Benefits are provided in accordance with the company’s policies and eligibility criteria.

Location: Australia What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Senior Manager, Detection Engineering & Threat Hunting Location: Remote Australia Compensation Range: $150,000 to $170,000 AUD base plus bonus and equity What You’ll Do: Members of the Huntress DE&TH team wake up every morning with the honor of impeding threat actors through a combination of detection engineering and threat hunting. This team sits alongside our 24x7 Security Operations Center, and our Adversary Tactics & Tactical Response function, and plays a pivotal role in detecting threats actors before they get a chance to impact our partner environments. As a Senior Detection Engineering and Threat Hunting (DE&TH) Analyst you should be drawn to the hard problems: detecting stealthy intrusions, managing false positives and false negatives at scale, and uncovering clues that may expose an evolving campaign across Huntress partners. In this role you will turn threat intelligence, or a hypothesis, into detections that help the SOC find real intrusions faster. While the SOC is responding to alerts within minutes, this team is developing detections and reviewing more ambiguous signs of attacker activity on a daily & weekly basis. On the Detection Engineering side of the role, you will play a part in designing, building, and maintaining a resilient, scalable, and high-fidelity detection portfolio that enables the SOC to rapidly identify and respond to adversary activity. This will involve working with engineering and other adjacent teams to achieve a shared goal across multiple domains which includes identities and endpoints. On the Threat Hunting side of the role, you will get to research new attacker tradecraft, test new theories, and review hunting data at scale for millions of endpoints to proactively hunt for, and disrupt, stealthy threat actor techniques that evade initial defenses. If you love Detection Engineering and Threat Hunting at scale, whilst in the environment and energy of a SOC, this is the role for you! Responsibilities: Contribute to all parts of the detection lifecycle by creating new rules, testing them before deployment, monitoring efficacy, and tuning, promoting, or retiring rules based on their performance. Develop rules across a variety of Huntress products and operating systems such as: Identity Threat Detection and Response (ITDR), Security Information and Event Management (SIEM), Endpoint Detection and Response (EDR), Windows, Linux, and MacOS. Manage any DE&TH requests raised internally or escalated from our partners. Undertake hypothesis-driven hunts across Huntress telemetry, prioritising techniques and tradecraft that may evade high-fidelity detections and initial SOC review. Consume threat intelligence and translate IOCs, TTPs, and internal findings into new or refined detections through Git-based workflows. Build and refine hunting dashboards or queries required to surface potential intrusions. Review ambiguous signs of attacker activity across Huntress products, and surface likely intrusions that require deeper investigation. Investigate or escalate likely intrusions identified to ensure partners receive clear incident reports with accurate advice. Contribute findings to community-driven projects and create Huntress content such as blogs, social posts, videos, podcasts, and webinars. Use AI-assisted workflows to prototype queries, enrich analysis, and develop a scaffolding for detection rules, ensuring you apply sound judgment to validate the AI output. We expect everyone at Huntress to be able to use AI as a real part of how they work, not occasionally, but genuinely embedded in core workflows. What You Bring To The Team: 2+ years of experience in detection engineering, threat hunting, SOC, MDR, or incident response. Intermediate knowledge of Windows internals. Working knowledge of Linux, macOS, Microsoft 365, Azure, and Google Workspace. Experience developing, testing, tuning, and documenting detections or analytics from threat intelligence, IOCs, hypotheses, or real-world investigations. Ability to communicate findings through clear written reports. Strong familiarity with detection languages such as Sigma, Suricata, Snort, or YARA, and query languages such as KQL, EQL, ES|QL, or Splunk SPL. A sound understanding of adversary tradecraft, including techniques used for persistence, privilege escalation, defense impairment, lateral movement, discovery, and collection on a system. A sound understanding of the roles different threat actors play and their associated goals, such as: initial access brokers, ransomware affiliates, and state-sponsored entities. Ability to orchestrate reusable AI workflows that improve threat hunting, detection development, or analysis, and can verify AI-generated outputs before they reach production environments. Bonus points for: Intermediate knowledge of Linux and MacOS internals. Hands-on experience using tools to remotely discover evidence of compromise such as OSquery, Velociraptor, and EDR/MDR/XDR platforms. Previous use of forensic tooling such as Eric Zimmerman's EZ Tools, RegRipper, Hayabusa, or Chainsaw to analyze endpoint artifacts. Intermediate malware analysis skills. What We Offer: Fully remote work At least one annual trip to the US for Summer Summit, with additional local events in Australia! New starter home office set up reimbursement ($800 AUD) 12 weeks paid parental leave for both primary and secondary carers Monthly digital allowance for personal phone and internet costs ($185 AUD) Monthly home office tech stipend to upgrade or replace equipment ($40 AUD) Subsidised private health insurance through our preferred provider Stock options for all full-time employees Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Singapore Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. What you will be doing - Provide operational advisory on high-risk clients whether at onboarding, periodic reviews or on trigger event and deliver justified opinions and recommendations - Investigate alerts reported to Compliance, draft STRs and ensure most risky clients are being monitored accordingly - Proactively handle or participate with the development and update of the local compliance Framework (Policies, Procedures and Operating Memos) - Provide quick and precise advisory to internal team inquiries on procedural applications - Contribute to updating AML-CTF risk classification and assessing new products/activities - Contribute to external reports due to regulators and internal reports to Senior Management - Draft training material/presentations and run training sessions - Perform regulatory watch and gap analysis between applicable regulations/sanctions and current framework and propose enhancements - Handle or participate as Specialist Matter Expert (SME) in various ad hoc Group and APAC Compliance projects About you - Minimum 5 years of experience in a Compliance function in the banking or payments space - Prior experience in Compliance Advisory is ideal, otherwise, a combination of 2LoD operations experience with exposure to investigations and audit handling is preferred - Robust knowledge on Financial Security topics (KYC, AML/CFT, Sanctions, etc.) and other Compliance topics (Payments Services Act, Scheme Rules, etc) - Previous project management experience on Compliance framework setups - Demonstrate clear sense of accountability in performing the role and a positive approach (can-do attitude and solution oriented) - Ability to identify inefficiencies, see the bigger picture, challenge current status quo and define scalable and sustainable processes - Well organized self-starter, able to prioritize quickly and meet deadlines even under pressure - Strong stakeholder management and communication skills - Team player with strong collaborative qualities - Willingness to learn continuously and keep up to date with Payment industry and Regulations (local and international) - Strong spoken and written English Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is hiring a Detection & Response Engineer to own how we find and stop attacks against our infrastructure, our research environment and our products. Securing a company that trains and serves frontier video models is a different problem from securing a typical SaaS product. The environment includes research compute, large training datasets, a fast-moving build pipeline and engineers who work inside AI-assisted tooling every day. Each of those changes what an attack looks like and what you need to see to catch it. You'll join the Security team and build our detection and response program the way an engineer would: detections as code, response as automation, evidence as something you can query. This is a role with real ownership: you'll own the detection program end to end, from what we log to how quickly we close an incident. You'll report to the head of security, partner with engineers across platform and research, and shape how this function grows from here. WHAT YOU'LL DO - Own detection and response end to end: what we log, what we alert on, how we triage and how we recover - Write and tune detections as code across multiple cloud environments, Kubernetes, identity systems, endpoints and SaaS, and measure them on coverage and precision rather than alert volume - Lead incident response from the first alert through containment and forensics, then write the post-incident review people actually read - Build automation that takes toil out of triage, including enrichment, correlation, containment actions and evidence collection, and use LLM-based tooling where it holds up under audit - Monitor AI agents and developer tooling operating inside our environment, and turn that into concrete telemetry and controls - Partner with platform and research engineers so new systems ship with logging and response playbooks in place on day one - Run threat hunts and tabletop exercises against the parts of the environment that worry you most, and fix what you find - Turn incident and detection metrics into evidence for SOC 2, ISO 27001 and enterprise customer security reviews, working with our GRC team - Participate in an on-call rotation for security incidents WHAT YOU'LL NEED - Hands-on incident response experience: you've triaged live alerts, led investigations and written up what happened afterward - Experience building and tuning detections in a modern SIEM, ideally managed as code - Working knowledge of how attackers move through cloud and Kubernetes environments (IAM abuse, container escape, credential theft, supply chain compromise) and what that leaves behind in logs - Comfort writing Python, Typescript, Rust or another language to automate response work and connect security tools - Familiarity with at least one major cloud platform and with Kubernetes at the level of audit logs, RBAC and workload identity - Clear writing. Incident timelines, detection documentation and updates to leadership are all part of the job - Judgment about what to alert on, what to automate and when to wake someone up EVEN BETTER IF YOU HAVE - Experience monitoring GPU or HPC-style infrastructure, or research environments with large datasets - Experience building detections or guardrails for AI agents, LLM tooling or MCP servers - Cloud forensics experience: disk and memory acquisition, cloud audit trail reconstruction, chain of custody - Published open source detection content Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $163,920 — $196,712 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Ontario, Canada From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and QE to deliver work that scales. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll Do Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking For 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skills Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with metadata, catalog, lineage, or discovery/search systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem #LIHYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $139,869 — $167,849.50 CAD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Brazil Strategic Account Executive, LATAM About the Role Location: Brazil, Sao Paulo Our Strategic Account Executives are expert storytellers and problem-solvers. In the LATAM region, you will help crypto-native organizations (exchanges, Web3, DeFi) and large-scale enterprises confidently and securely adopt blockchain technologies. As the digital asset landscape evolves rapidly across Latin America—driven by institutional interest, the growth of Web3 ecosystems, and evolving regional regulations—you will be at the forefront of helping these organizations execute their cryptocurrency strategy. Strategic Account Executives are experienced in high-stakes new business creation and deep account management. They are market specialists who understand the unique cultural and business nuances of the LATAM region. They establish trust and build long-term customer relationships within their target market, tailoring their sales approach to the specific economic drivers of the region and evangelizing Chainalysis solutions in a compelling, approachable way. Success is measured by the attainment of assigned quota, new logos, and the strategic expansion of our footprint within the region’s most influential accounts. In this role, you’ll: - Drive Regional Growth: Exceed your quota and substantially increase our foothold in the LATAM Enterprise and Crypto-native markets through aggressive prospecting, pipeline development, and expansion of existing accounts. - Strategic Account Planning: Create and execute sophisticated go-to-market plans for the LATAM territory that result in predictable, increasing quarterly forecasts and long-term partnerships. - Build Executive Trust: Navigate complex, multi-stakeholder sales cycles to build relationships with CXOs and Founders based on trust and transparency, positioning Chainalysis as a critical partner in their growth. - Market Intelligence: Help us develop compelling product positioning and messaging specific to LATAM market trends, such as the rise of DeFi, Web3 innovation, and regional enterprise adoption drivers. - Cross-Functional Collaboration: Partner with internal departments (Solutions Architects, Product, and Marketing) to provide expert advice to prospects regarding technical concepts, product roadmaps, and solutions implementations. - Pipeline Management: Build and maintain a diverse pipeline of opportunities, ensuring consistent and accurate forecasting through disciplined use of enterprise sales methodologies. - Travel up to 50% of the time. We’re looking for candidates who have: - Regional Expertise: A deep understanding of the LATAM business landscape and the ability to navigate the unique challenges of doing business across different Latin American countries. - Bilingual/Trilingual Proficiency: Fluency in English and Spanish is required; proficiency in Portuguese is a significant advantage. - Proven Sales Excellence: 7+ years of B2B SaaS sales experience, specifically selling complex software to large-scale enterprises or high-growth technology companies. - Strategic Mindset: A strong understanding of enterprise sales methodology (e.g., MEDDPICC, Challenger) and the ability to manage long, complex sales cycles with multiple stakeholders. - Communication Skills: An articulate, enthusiastic, and effective communicator who can convey complex blockchain and technical concepts concisely to the CXO level. - Blockchain Passion: A genuine interest in cryptocurrency, Web3, and the potential for blockchain technology to disrupt traditional business models. - Adaptability: The ability to bridge high-level technology to a customer’s desired business outcomes in a dynamic, fast-paced startup environment. - Mobility: The ability to travel throughout the LATAM region as needed to build face-to-face relationships with key stakeholders. Nice to have experience: - You don’t have to be a blockchain expert yet, but you are insatiably curious and a fast learner. - Experience selling solutions related to data analytics, cybersecurity, risk management, or complex cloud infrastructure. - An existing network of contacts within the innovation or technology departments of major LATAM-based enterprises. Total Compensation: • Base plus Commission: 50/50 OTE • Offers Equity AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role 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 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 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 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, queueing, 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 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 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 and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving 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. 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Electrical Engineer to play a critical technical leadership role in the development of our next-generation wearable platform. As part of the Hardware Engineering team, you will develop a deep understanding of electrical system behavior through rigorous test, characterization, analysis, and hands-on debugging, then translate those insights into architecture, schematic, and design improvements. You will work across Electrical, Mechanical, Firmware, Systems, Manufacturing, and Software teams to identify performance limitations, resolve complex system-level issues, and accelerate the path toward robust, production-ready hardware. This is a hands-on player-coach role for an engineer who combines deep electrical expertise with exceptional systems thinking and technical judgment. You will manage and develop a small team of electrical engineers while remaining deeply engaged at the bench—defining the highest-value technical questions, designing experiments to answer them, interpreting complex data, and driving the resulting design decisions. RESPONSIBILITIES: - Lead electrical system characterization and technical investigations, developing a deep understanding of system behavior across power, mixed-signal circuitry, digital interfaces, sensing, noise, timing, and other critical performance areas - Define and execute experiments that efficiently answer complex engineering questions, isolate variables, identify root causes, and expose interactions across electrical subsystems and the broader product - Translate characterization results and system insights into actionable architecture, schematic, component, layout, firmware, and system-level design improvements - Drive resolution of complex electrical and cross-functional technical issues, using first-principles analysis, bench measurements, device telemetry, and structured experimentation to move from symptoms to root cause - Build scalable characterization and analysis methods using Python, MATLAB, or equivalent tools to improve test coverage, automate analysis, identify trends, and accelerate engineering learning cycles - Partner closely with Electrical, Firmware, Mechanical, Systems, Software, and Manufacturing teams to define requirements, evaluate tradeoffs, and improve end-to-end system performance, reliability, and manufacturability - Manage and develop a small team of electrical engineers, setting technical priorities, creating clear ownership, providing mentorship and design review, and helping engineers grow while maintaining a high bar for technical execution - Remain hands-on with schematic and circuit design, prototype bring-up, debugging, and design iteration, directly contributing to critical design changes where needed - Establish rigorous validation approaches and success criteria that build confidence in electrical system performance across operating conditions, unit-to-unit variation, and product use cases - Travel up to 15% domestically and internationally to collaborate with partners, suppliers, and contract manufacturers QUALIFICATIONS: - Bachelor's degree or higher in Electrical Engineering or a related technical field, or equivalent practical experience - 8+ years of relevant electrical engineering experience, with demonstrated technical leadership and ownership of complex electrical or embedded systems - Deep electrical engineering fundamentals across mixed-signal circuit design, power management, digital interfaces, signal integrity, and debugging of highly integrated systems - Exceptional hands-on test, characterization, and debugging skills, with the ability to use experimentation and data to understand complex system behavior and drive meaningful design changes - Strong experience with schematic capture and PCB design/review using ECAD tools such as Altium or equivalent - Demonstrated ability to lead ambiguous, cross-functional technical investigations, mentor other engineers, and drive complex engineering decisions to closure - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $175,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for an experienced Database Infrastructure Engineer to join our Infrastructure team. Our goal is to ensure the reliability, scalability, security and performance of high-load relational database systems. The primary focus of this role is the administration and optimization of PostgreSQL and MariaDB clusters, automation via IaC, and the development of reliable HA/DR solutions. Job Responsibilities Database Cluster Management: Deploy, administer, upgrade, and scale PostgreSQL and MariaDB clusters in high-load production environments; High Availability & Disaster Recovery: Design and maintain HA solutions, replication topologies, failover/switchover, backup/restore , and DR plan; Infrastructure as Code: Fully automate provisioning and configuration management using Terraform and Ansible; Performance Tuning: Analyze query execution plans, optimize indexes and database parameters, investigate locking and replication lag, and tune Linux kernel parameters for specific workload profiles; Observability: Configure monitoring, dashboards, logging, alerting, and SLOs for database services; Troubleshooting: Investigate incidents, analyze logs and metrics, identify performance bottlenecks, and participate in on-call activities; Automation: Develop tools and scripts for routine operations, health checks, failover validation, maintenance, and database lifecycle management. You’ll thrive here if you have Experience: 3+ years as a DBA, DBRE, DevOps Engineer, or System Administrator with a strong focus on production relational databases; Deep understanding of PostgreSQL/MariaDB architecture and internal database processes; Building PostgreSQL/MariaDB high-availability architectures, replication, backup and performance tools; Experience HA soultions for PostgreSQL (Patroni, PgBouncer), MariaDB (MaxScale, Galera); Experience troubleshooting replication lag, deadlocks, locking issues, and transactional workloads; Hands-on experience testing failover scenarios and performing recovery from backups; Strong SQL and query optimization skills, analyze and profiling queries. IaC & Automation: Strong proficiency in Terraform, including writing reusable modules and managing state files; Experience writing complex Ansible roles and playbooks. Linux: Deep knowledge of Linux internals, filesystems, CPU, memory, disk I/O, networking, and kernel tuning for database workloads. Observability: Experience with Prometheus/VictoriaMetrics, Grafana, and the ELK stack. Scripting: Proficiency in Python or Bash for automation and operational tooling. Big Plus: Kafka & Debezium: Experience configuring CDC pipelines from PostgreSQL or MariaDB using Debezium and Kafka Connect; Kubernetes & Helm: Experience running stateful database workloads in Kubernetes, including database operators; Cloud Platforms: Experience with managed database services and cloud infrastructure; Analytical & NoSQL Databases: Knowledge of ClickHouse, MongoDB, Redis or other distributed data platforms; Security: Experience with database access control, TLS, secrets management, auditing, and encryption; Programming: Experience supporting applications written in Java, Go, Python, or similar languages. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Recruitment process HR interview (45 minutes); Technical interview (1.5 hour); Final interview (1 hour); Recommendations check; Job Offer.

Location: Remote, APAC Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re looking for an experienced, fluent Japanese speaking Database Support Engineer to join our Support Team and help developers unblock complex issues, build more reliably, and get the most out of the Supabase platform. You’ll work closely with customers and engineering, helping us improve product quality and developer experience based on real-world usage. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR In this role, you’ll: - Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries. - Provide consultative, proactive advice to optimize workloads, avoid common pitfalls, and tailored advice to our most advanced users. - Reproduce bugs, isolate root causes, propose workarounds, and escalate to engineering with solid repro steps. - Ask smart, targeted questions that turn incomplete reports into actionable cases. - Communicate clearly and empathetically with customer users of all levels—especially during high-impact or time-sensitive situations. - Spot patterns across tickets and recommend improvements to docs, tooling, and the product itself. - Mentor junior team members and help raise the overall bar for support quality. YOU MIGHT BE A GOOD FIT IF YOU - You have 6+ years in technical support, backend engineering, SRE, or similar. - You know PostgreSQL deeply—autovacuum behavior, WAL growth, long-running transactions, table bloat, and other internals. - You’re strong in high-performance SQL and query optimization. - You’re comfortable troubleshooting complex setups, including multi-tenant schema patterns. - You can debug edge functions and understand distributed system behavior when failures get tricky. - You’ve handled data migration issues (pg_dump/restore, schema drift, failed migrations) and know how to recover safely. - You have hands-on experience with cloud hosting providers like AWS. - You’re comfortable in terminal and Linux environments. - You thrive in high-volume situations and can form/test assumptions quickly. ADDITIONAL REQUIREMENTS - Must be a fluent bilingual Japanese/English Speaker - Must have experience support complex technical products in Japanese with native speakers - Ideally located in Japan, but location is flexible as long as you can work during Japan business hours. データベースサポートエンジニア Supabaseについて Supabaseは、開発者が開発者のために作ったPostgres開発プラットフォームです。データベース、認証、ストレージ、Edge Functions、リアルタイム機能、ベクトル検索を含む、完全なバックエンドソリューションを提供しています。すべてのサービスは緊密に統合されており、成長に対応できるよう設計されています。 職務内容について 経験豊富な日本語で対応可能なデータベースサポートエンジニアを募集し、サポートチームに参加していただきます。開発者の複雑な課題解決を支援し、より信頼性の高い開発を実現し、Supabaseプラットフォームを最大限に活用していただけるようサポートします。お客様やグローバルのエンジニアリングチームと密接に連携し、実際の利用状況に基づいて製品品質や開発者体験の向上に貢献していただきます。 このポジションは、非同期かつスピード感のある環境で力を発揮でき、数百万人規模で利用される開発者ツールの構築にやりがいを感じる方に最適です。 主な業務内容 このポジションでは、以下の業務を担当していただきます。 - Postgres、認証、RLS、ストレージ、リアルタイム機能、Edge Functions、クライアントライブラリにまたがる高度な顧客課題の調査・解決 - ワークロードの最適化やよくある落とし穴の回避に向けたコンサルティング的かつ積極的なアドバイスの提供、および最も高度なユーザーへの個別対応 - バグの再現、根本原因の特定、回避策の提案、および確実な再現手順を伴うエンジニアリングチームへのエスカレーション - 不完全な報告内容を対応可能な案件に変えるための、的確で的を絞った質問 - あらゆるレベルの顧客ユーザーとの明確かつ思いやりのあるコミュニケーション(特に影響度が高い、または緊急性の高い状況において) - チケット全体からパターンを見出し、ドキュメント、ツール、製品自体の改善を提案 - ジュニアメンバーの育成、サポート品質全体の向上への貢献 以下に当てはまる方はこのポジションに向いています - テクニカルサポート、バックエンドエンジニアリング、SRE、または類似職種で6年以上の経験がある方 - PostgreSQLに関する深い知識をお持ちの方(autovacuumの挙動、WALの増加、長時間実行トランザクション、テーブルの肥大化などの内部構造を含む) - 高パフォーマンスなSQLおよびクエリ最適化に強みをお持ちの方 - マルチテナントのスキーマパターンを含む、複雑な構成のトラブルシューティングに抵抗がない方 - Edge Functionsのデバッグができ、障害が複雑化した際の分散システムの挙動を理解できる方 - データ移行に関する問題(pg_dump/restore、スキーマの差異、移行失敗など)に対応した経験があり、安全な復旧方法を理解している方 - AWSなどのクラウドホスティングプロバイダーでの実務経験がある方 - ターミナルおよびLinux環境に抵抗なく対応できる方 - 業務量の多い状況でも力を発揮でき、素早く仮説を立てて検証できる方 追加要件 - 日本語・英語のバイリンガルであること - 日本語の顧客を対象に、技術製品のサポートを行った経験があること - 日本在住が望ましいですが、日本の勤務時間帯に対応できれば勤務地は柔軟に対応可能です WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Home-based, Mexico Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ROLE PURPOSE The Periodic Review Due Diligence Specialist is responsible for conducting AML periodic reviews and AML event driven reviews of merchants and sub merchants to ensure customer information, ownership structures, business activity, transaction profiles and supporting documentation remain accurate, current and compliant with internal standards and applicable regulatory requirements. The role supports Checkout.com http://Checkout.com’s ongoing monitoring framework by assessing whether a merchant’s existing risk rating and due diligence level remain appropriate, and taking the appropriate action through case management, escalation and stakeholder engagement. The role is also expected to embody Checkout.com http://Checkout.com’s Operating Principles in how work is performed: putting the customer first through high-quality review outcomes and clear communication, acting with ownership and urgency, maintaining a high bar for accuracy and evidence, collaborating as one team across stakeholders, and continuously improving review quality, process discipline and operational effectiveness. KEY ROLES AND RESPONSIBILITIES - Conduct end-to-end AML periodic reviews and AML event driven reviews of merchants and sub merchants in line with internal procedures, policy requirements and review timelines. - Review merchant information including ownership structure, business activity, line of business, processing activity, regional exposure and supporting documentation to ensure and confirm that the customer profile remains accurate and complete. - Assess whether the merchant’s risk rating and due diligence level remain appropriate based on current information and review findings. - Complete required review actions within the relevant internal systems and tools, including Salesforce and Fircosoft Compliance Link. - Manage periodic review cases from assignment through closure, ensuring statuses, sub-statuses, notes, evidence and outcomes are accurately maintained. - Raise and manage Requests for Information (RFIs) with merchants, account managers or internal stakeholders where documents or clarifications are required. - Perform enhanced due diligence reviews where required for higher-risk merchants, including analysis of risk triggers, supporting documentation and rationale for final decisions. - Escalate cases appropriately where review findings, risk indicators or policy triggers require secondary review or approval. - Maintain clear, accurate and audit-ready case commentary, review notes and evidencing to support decisions taken. - Immediately escalate unusual or suspicious activity in line with internal reporting obligations. - Support quality, control and continuous improvement initiatives by highlighting process gaps, tool issues, documentation weaknesses and operational inefficiencies and suggesting solutions. - Contribute to consistent decision-making, knowledge sharing and strong operational discipline across the periodic review team. INDIVIDUAL PROFILE The ideal individual is a detail-oriented and risk-aware specialist with strong AML and customer due diligence knowledge, sound judgement, and the ability to manage a high volume of cases while maintaining quality and discipline. They should be comfortable analysing customer information, identifying discrepancies, following structured procedures and documenting decisions. They should also be able to communicate clearly with both internal and external stakeholders, manage competing priorities, and escalate issues promptly where risk, policy or operational thresholds are met. SKILLS - 3+ years' relevant work experience. - Strong understanding of AML, KYC, KYB, CDD and EDD principles. - Ability to review and interpret corporate documents, ownership structures and merchant information. - Strong analytical and investigative skills, with the ability to identify inconsistencies, red flags and material changes in risk profile. - Ability to make structured, evidence-based decisions in line with policy and procedural requirements. - Strong written communication skills for case notes, RFIs, internal escalations and stakeholder updates. - Good stakeholder management and follow-up discipline. - Ability to manage workload effectively across multiple live cases and deadlines. - Strong attention to detail and data accuracy. - Good judgement in identifying when to escalate or seek secondary review. - Ability to work with case management and due diligence tools. - Comfortable using internal platforms and review-supporting tools as required. - Ability to work within controlled processes while remaining adaptable to system and procedural changes. CORE COMPETENCIES - Risk awareness and sound judgement - Analytical thinking - Investigative mindset - Attention to detail - Decision quality - Accountability and ownership - Organisational and time management skills - Clear written and verbal communication - Collaboration and teamwork - Resilience under workload pressure - Process discipline and compliance mindset - Continuous improvement orientation Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Mexico City Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ROLE PURPOSE The Periodic Review Due Diligence Specialist is responsible for conducting AML periodic reviews and AML event driven reviews of merchants and sub merchants to ensure customer information, ownership structures, business activity, transaction profiles and supporting documentation remain accurate, current and compliant with internal standards and applicable regulatory requirements. The role supports Checkout.com http://Checkout.com’s ongoing monitoring framework by assessing whether a merchant’s existing risk rating and due diligence level remain appropriate, and taking the appropriate action through case management, escalation and stakeholder engagement. The role is also expected to embody Checkout.com http://Checkout.com’s Operating Principles in how work is performed: putting the customer first through high-quality review outcomes and clear communication, acting with ownership and urgency, maintaining a high bar for accuracy and evidence, collaborating as one team across stakeholders, and continuously improving review quality, process discipline and operational effectiveness. KEY ROLES AND RESPONSIBILITIES - Conduct end-to-end AML periodic reviews and AML event driven reviews of merchants and sub merchants in line with internal procedures, policy requirements and review timelines. - Review merchant information including ownership structure, business activity, line of business, processing activity, regional exposure and supporting documentation to ensure and confirm that the customer profile remains accurate and complete. - Assess whether the merchant’s risk rating and due diligence level remain appropriate based on current information and review findings. - Complete required review actions within the relevant internal systems and tools, including Salesforce and Fircosoft Compliance Link. - Manage periodic review cases from assignment through closure, ensuring statuses, sub-statuses, notes, evidence and outcomes are accurately maintained. - Raise and manage Requests for Information (RFIs) with merchants, account managers or internal stakeholders where documents or clarifications are required. - Perform enhanced due diligence reviews where required for higher-risk merchants, including analysis of risk triggers, supporting documentation and rationale for final decisions. - Escalate cases appropriately where review findings, risk indicators or policy triggers require secondary review or approval. - Maintain clear, accurate and audit-ready case commentary, review notes and evidencing to support decisions taken. - Immediately escalate unusual or suspicious activity in line with internal reporting obligations. - Support quality, control and continuous improvement initiatives by highlighting process gaps, tool issues, documentation weaknesses and operational inefficiencies and suggesting solutions. - Contribute to consistent decision-making, knowledge sharing and strong operational discipline across the periodic review team. INDIVIDUAL PROFILE The ideal individual is a detail-oriented and risk-aware specialist with strong AML and customer due diligence knowledge, sound judgement, and the ability to manage a high volume of cases while maintaining quality and discipline. They should be comfortable analysing customer information, identifying discrepancies, following structured procedures and documenting decisions. They should also be able to communicate clearly with both internal and external stakeholders, manage competing priorities, and escalate issues promptly where risk, policy or operational thresholds are met. SKILLS - 1-2 years' relevant experience. - Strong understanding of AML, KYC, KYB, CDD and EDD principles. - Ability to review and interpret corporate documents, ownership structures and merchant information. - Strong analytical and investigative skills, with the ability to identify inconsistencies, red flags and material changes in risk profile. - Ability to make structured, evidence-based decisions in line with policy and procedural requirements. - Strong written communication skills for case notes, RFIs, internal escalations and stakeholder updates. - Good stakeholder management and follow-up discipline. - Ability to manage workload effectively across multiple live cases and deadlines. - Strong attention to detail and data accuracy. - Good judgement in identifying when to escalate or seek secondary review. - Ability to work with case management and due diligence tools. - Comfortable using internal platforms and review-supporting tools as required. - Ability to work within controlled processes while remaining adaptable to system and procedural changes. CORE COMPETENCIES - Risk awareness and sound judgement - Analytical thinking - Investigative mindset - Attention to detail - Decision quality - Accountability and ownership - Organisational and time management skills - Clear written and verbal communication - Collaboration and teamwork - Resilience under workload pressure - Process discipline and compliance mindset - Continuous improvement orientation Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Berlin, Germany; Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, keeping courier supply healthy across every city we operate in is core to a great experience for both customers and couriers. As we've scaled to dozens of countries and hundreds of cities, planning & managing supply has grown from a market-by-market exercise into a global challenge: we need a system that plans well everywhere at once, from our largest metros to our smallest cities. That's where this role comes in. As Senior Specialist, Global Market Planning, you'll help refine the models and tools at the heart of how we plan courier supply globally. You'll make sure the right supply levers are pulled in the right markets, and you'll help us learn which levers actually work. It's a role at the crossroads of data, tooling, and operations. It's for someone who is as comfortable designing a test or building a model as they are working out why a specific market is off plan and what to do about it. You'll be part of the Global Market Planning team and will partner closely with local operations and courier marketing so that our planning always reflects the reality on the ground. What you'll be doing Develop the global planning model: Help develop and refine our global supply planning model so it delivers robust coverage across both large and small cities, accounting for local context like holidays, special events, etc. Allocate investments across markets: Help optimize supply lever allocation, translating region and country budgets into the right mix of levers for each market. Test and learn in markets: Propose tests and actions within markets, in line with lever allocation, especially where we don't yet know the right answer or don't have enough data to rely on history. You'll work with local teams and analytics to shape the approach and turn what we learn into the next plan. Build the tooling: Develop tools that ensure the correct supply levers are being used effectively across markets to hit our targets. Deep dive & solve: Investigate problem areas, identify root causes, and turn your findings into corrective actions and better planning approaches. Collaborate: Partner with regional supply leads, local operations teams, and central teams (finance, procurement, product, analytics) on plans, performance, and improvements. Improve how we work: Test and prove new concepts in planning, acquisition, onboarding, and activation, and support the roll-out of global improvements across regions. Our humble expectations 3+ years of experience in consulting, operations, analytics, or strategic business development in a fast-paced environment. Strong analytical and modelling skills, with a structured, pragmatic approach to solving complex problems. Experience designing and interpreting tests or causal analyses, and good judgment about what you can and can't conclude from them in a marketplace setting. A systems view of supply: you consider trade-offs between levers and their knock-on effects on cost, courier experience, and customer experience. Comfort making and defending recommendations with incomplete data, and adapting your thinking when the facts change. Proficiency in SQL, Looker, and Excel/Google Sheets modelling. Python, Cursor, and Claude Code are a plus. An attitude for action and ownership beyond the obvious, always looking for opportunities to improve, with the determination to drive change. The ability to work across cross-functional teams and manage relationships with stakeholders, both local and global. A true culture champion who leads by example with collaboration, teamwork, and data-driven decision making, and who brings humility and respect to every interaction. Excellent written and oral communication skills in English. Based in Berlin or Helsinki, with the ability to work in a hybrid model from our Wolt office. Next steps What to expect from our hiring process: Talent Acquisition screen — an introductory conversation with our recruiter to learn more about your background and answer any initial questions about the role. Hiring Manager interview — a deeper conversation with the team manager about your experience, the team, and what this role involves day to day. Assignment — a practical task related to the role, giving you a chance to show how you approach real problems in this space. Final interview — a conversation with a senior stakeholder to round out the process. If you are excited about working in a high-growth environment, taking ownership and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an ongoing basis, so if this sounds like an opportunity you want to pursue, apply today! Please submit your up-to-date resume in English. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Mumbai, India We Are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role The RTR Finance accountant role is responsible for transactional and operational delivery within the Record to Report (RTR) function of the Shared Services Centre (SSC). This role ensures the accurate and timely processing of financial transactions and reporting, execution of month-end and year-end close activities, and provides essential assistance to the RTR Team Lead and Process Tower Lead to maintain high standards of service delivery across multiple geographies. Key Responsibilities Transaction Processing Accurately process journal entries as per the month end close calendar or ad-hoc as requested by Geography finance team (e.g. adjustments, re-allocations, corrections) Prepare supporting documents, refresh reports necessary for calculation of journal values. Raise queries and gather information required for journals calculation and preparation Prepare journal templates, check dimensions, GL codes, date, entity, upload and post transactions in ERP. Submit journals for approval in accordance with Level of authority and policies in place Support the planning and allocation of tasks of routine and ad hoc transactions in the ticketing system. Use the ticketing system for execution and monitoring of tasks Prepare and maintain balance sheet reconciliations, ensuring all items are supported and unreconciled items are investigated, escalated and action plan defined Month-End and Year-End Close Provide operational support for month-end and year-end close activities, including data gathering, transaction processing, and report generation The Requirements Key Skills & Experience Experience in shared services, in a Record to Report accounting role A minimum of 10 years experience in an Accounting roles Working knowledge of ERP systems (Navision), proficiency in Microsoft Excel, preferable reporting Power BI experience Strong attention to detail and commitment to accuracy and delivery on time as per the SLAs Good organisational and time management skills, with the ability to meet deadlines Effective communication skills and a collaborative approach to teamwork Willingness to work various shift patterns aligned to supported geographies (e.g., Europe/UK, Australia, Americas, UAE, India) as required by the SSC operating model. Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organisation. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities. You will have good organisational and time management skills with the ability to meet deadlines, along with effective communication skills.