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Location: Brasov, Romania Workplace: on-site We are looking for a Business Operations Team Lead to manage and develop an operational team and drive the operational and financial performance of an assigned business perimeter. The role ensures service excellence, process compliance, team development, and continuous improvement while supporting company objectives. The mission of the Order Control department is to secure and manage the end-to-end ordering process, minimize financial and cancellation risks, optimize operational performance, and ensure effective coordination between customers, purchasing teams, suppliers, and support functions. Key Responsibilities: Execute business strategies aligned with company goals and operational targets. Manage daily operations and ensure efficient workflows within the business unit. Drive Order Control performance and secure end-to-end ordering processes. Monitor key business indicators, implement improvement actions, and ensure service quality. Lead, coach, and develop team members through performance reviews and development plans. Promote digital transformation and the use of AI solutions to improve efficiency. Collaborate with cross-functional teams, purchasing, suppliers, and internal stakeholders. Act as an interface with clients and business partners to resolve operational challenges. Participate in budget preparation and financial performance monitoring. Profile & Skills: Strong leadership, decision-making, and team management skills. Strategic and results-oriented mindset with a focus on continuous improvement. Excellent communication, collaboration, and negotiation abilities. Ability to manage complexity and adapt in a fast-paced environment. Strong compliance culture and respect for operational standards. Fluent in English and French, with strong written and verbal communication skills Knowledge of applicable regulatory requirements, compliance frameworks, and industry standards. Demonstrates professionalism, integrity and a strong sense of responsibility. Join us to lead operational excellence, develop teams, and contribute to the transformation of our business through innovation and performance improvement! -

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Mechanical Engineering Systems & CAD Specialist - Location: Espoo, Finland - Department: Spacecraft Hardware - Reports to: Mechanical Team Lead - Employment type: Permanent - Workplace model: Hybrid / Office - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As ICEYE expands its satellite constellation and develops more advanced spacecraft, reliable engineering tools and efficient workflows are essential to meeting demanding aerospace quality standards. This role ensures mechanical design teams have the software, systems, and processes they need to develop reliable, cost-effective products and deliver missions successfully. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Ensure smooth, seamless and on time product delivery, from concept to qualification - Contribute to the continuous improvements of our current products - Systems & Software Administration: Install, update, license, and maintain mechanical design software, FEA/CFD simulation tools, and PLM databases - Engineering Team Support: Provide day-to-day technical assistance and troubleshooting for design engineers working with CAD and simulation software - Model & Data Management: Maintain standardized CAD library components, template files, and product structure integrity within the PLM system - Process Optimization: Assist in establishing best practices for CAD modeling standards, design release workflows, and revision control - Vendor & IT Liaison: Coordinate with software vendors for licensing/updates and collaborate with internal IT teams on system infrastructure requirements WHAT WE’RE LOOKING FOR Must haves: - Master’s or Bachelor’s degree in Mechanical Engineering, Mechanical Engineering Technology, or a related field - Experience in aerospace, automotive, or related industries - 5-10 years of practical experience in mechanical design or engineering IT/tool support - CAD/PLM Expertise: Proficiency in handling complex product assemblies with modern 3D CAD platforms and PLM environments - Ability to work cross-functionally with systems, electrical, manufacturing and IT- teams - Simulation Knowledge: Hands-on experience or proven familiarity with engineering simulation tools - Problem-Solving Ability: Strong analytical troubleshooting skills with a customer-service mindset toward supporting engineering end-users Nice to haves: - Experience on Autocad Inventor, PTC Creo or Siemens NX - Experience on PTC Arena and Altair simulation tools - Experience on CADTALK or similar integration tools - Ability to program simple macros & scripts - Ability to develop simple toolkits through API interface APPLICATION PROCESS - Talent Attraction Introduction - Hiring Manager Alignment - Task Assignment - Technical Interview - Director Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Задачи: — Участие в разработке и поддержке backend-систем для платформы глобальной мобильности и городских сервисов, включая ride-hailing, межгородские поездки, доставку и сервисы помощи. Требования: — 5+ лет коммерческого опыта backend-разработки в продуктивных средах. — Глубокие знания Go, включая работу с конкурентностью, примитивами синхронизации, контекстом, управлением жизненным циклом горутин и паттернами корректного завершения. — Опыт построения и поддержки высоконагруженных распределённых систем. — Опыт разработки продуктов с комплексной бизнес-логикой и изменяющимися требованиями. — Сильные навыки работы с SQL и моделированием данных: проектирование схем, объединения, агрегации, составные индексы, выбор типов данных, анализ запросов, стратегии масштабирования (репликация, партиционирование, шардинг). — Опыт работы с MySQL или PostgreSQL. — Понимание стратегий кэширования, включая Redis, cache-aside, прогрев и фоновое обновление. — Опыт синхронного и асинхронного взаимодействия между сервисами, включая gRPC и брокеры сообщений, гарантии доставки, идемпотентность и балансировку нагрузки. — Глубокое понимание паттернов микросервисной архитектуры и эффективного взаимодействия клиент-сервер, включая их ограничения и компромиссы. — Практический опыт работы с инструментами наблюдаемости: метрики, логирование, распределённый трейсинг, алертинг, профилирование Go с pprof. — Понимание нефункциональных требований, SLA, SLO и SLI. — Опыт работы с Docker, Kubernetes, CI/CD и облачными платформами. — Умение писать поддерживаемый и тестируемый код с хорошим покрытием unit и интеграционных тестов. — Владение Git и современными процессами code review. Условия: — Проект на 3 месяца. — Полная занятость. — Работа в часовом поясе CET. — Старт ASAP. — Локация кандидата: ЕС, Грузия, Армения, Сербия, Казахстан.

Задачи: — Проектировать и создавать масштабируемые, надёжные backend-сервисы — Руководить архитектурой и техническими исследованиями — Отвечать за сервисы в продакшене, включая наблюдаемость (метрики, логирование, трассировка) — Наставлять инженеров и участвовать в код-ревью Требования: — Опыт коммерческой backend-разработки 5+ лет в высоконагруженных системах — Глубокие знания Go (generics, reflection, unsafe, кастомные примитивы синхронизации) — Продвинутый SQL (репликация, партиционирование, шардинг, оптимизация запросов) — Опыт работы с Redis в высоконагруженных системах — Знание gRPC, брокеров сообщений и микросервисной архитектуры — Опыт с Docker, CI/CD, Kubernetes, AWS или аналогичными технологиями — Навыки написания unit и интеграционных тестов — Английский язык на уровне Intermediate и выше Желательно: — Опыт с Kafka, NATS, RabbitMQ — Знание Terraform или Pulumi — Навыки профилирования Go (pprof, trace) — Опыт использования AI-инструментов для разработки (Copilot, ChatGPT, Claude)

Location: Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom Why Kimchi? Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and the router deciding which model answers each request is ours too. The Auto Router Our promise is one enforcement layer for your AI: budgets, spend attribution, and model routing, applied before a request ever hits a model. The Auto Router makes the call: for every request, which model serves it. Eight open-source models whose input prices span more than 20×, cached input up to 50× cheaper than fresh, frontier providers on customers' own keys, and a coding agent that fires hundreds of requests before its task is done. Frontier-level task success at a fraction of the token cost: that sentence is the product, and it stays true only if the model inside the router keeps getting better. That model is yours. Made by Cast AI — a Miami-headquartered, globally distributed team across 34 countries that hit unicorn status in January 2026 with a $50B+ backed investment pushing its valuation past $1 billion. About the role Every request gets a decision: which model serves it. This is an applied-ML seat, not an infrastructure one. Platform engineers own the proxy, the streaming path, and the fleet. You own the model inside them: the training data, the objective, the evaluation, and the iteration loop that ships a better router every cycle. The problem: routing is a prediction problem wearing a product's clothes. For every request you predict the quality each candidate model would deliver, what it would cost, and how fast it would decode, and you have to be right enough, in aggregate, that the savings are real and the quality never dips below frontier. The data is messy: rollout outcomes from benchmark harnesses, per-request records from the live fleet, override signals, and token streams whose speed depends on the serving concurrency at the moment. Speed itself is a correctness variable: on deadline-bound agentic work, a model that decodes three times slower doesn't do the same work slower, it does less work. That's why naive cost-per-token objectives quietly optimize for the wrong thing. And the bar for evidence is high: a router change ships only after production-parity evaluation with error bars, then gets held to its numbers in live traffic. Stack: Python; PyTorch; SQL at scale (ClickHouse); OpenAI- and Anthropic-compatible LLM APIs; benchmark and rollout harnesses (RouterBench-class); GitLab CI. Requirements You've spent 5+ years in applied ML or ML research, and you've trained, evaluated, and shipped models that make real-time decisions (ranking, recommendation, bandits, pricing, or LLM routing) and you can tell that story with receipts. Strong Python and SQL at scale: you can pull, clean, and interrogate millions of request-level records without waiting on anyone. You know the difference between a model that got better and an eval that got easier. You have real opinions about what LLM benchmarks measure, agentic harnesses included. You know enough serving reality (TTFT, decode speed, batching, prefix caching, concurrency) to model the objective honestly. You instrument before you optimize, error bars and all. A wide mandate excites you more than it unsettles you. Nice to haves You've worked on LLM routing specifically: RouterBench-class evals, cost/quality/latency Pareto fronts. Calibration, abstention, or conformal methods in production decision systems. You've run online A/B loops with drift monitoring on a model that touches real money. Responsibilities Own the routing model end to end: features, objective, training, calibration, and release cadence. Iterate it like a product, not a research artifact. Build the evaluation that gates every change: production-parity benchmarks, router-vs-router comparisons, holdouts by task family, error bars on pass rates. Nothing ships on vibes. Turn fleet data into training signal: per-request outcomes from production, benchmark rollouts, and override feedback, with failure categorization (infra vs task) so poisoned labels never reach the policy. Model the objective the user actually experiences: task success × token cost × wall-clock speed under the real concurrency regime, with cached-input economics in the picture. Run the online loop: shadow, A/B, full rollout, drift monitoring, retrain. When production disagrees with your offline eval, you find out why before the next ship. Push the frontier where it pays: calibrated decisions, abstention under uncertainty, speed-aware routing. We experiment on what a router should be, not just which model it picks today. Partner with platform engineers on instrumentation: the features and labels recorded per request (decode speed first-class among them) and the experiments the data path must support. What’s in it for you? Competitive salary (depending on the level of experience). Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom Why Kimchi? Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and we run the models underneath it ourselves. Kimchi Inference One API line and a customer's existing client just works: DeepSeek, GLM, Kimi, MiniMax, Nemotron served serverless from our own GPU fleet (OpenAI- and Anthropic-compatible, pay per token, spend visible per user, team, and key). When control matters, the same models run on the customer's own cluster instead. Behind that one line sits the machinery you'll own: SGLang and vLLM engines, B300 nodes, a shared cluster filesystem that holds every checkpoint exactly once, KV caches riding coding traffic with heavy prefix reuse, and the benchmark harness that gates every change we ship. Made by Cast AI — a Miami-headquartered, globally distributed team across 34 countries that hit unicorn status in January 2026 with a $50B+ backed investment pushing its valuation past $1 billion. About the role Throughput. Latency. Cold starts. Cost per token. Move those four numbers in the right direction and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every loader you tune, every scheduler decision you land, every kernel you stare at shows up in a customer's p99 and on our P&L. Your mandate is the inference stack's optimization, whatever it takes, and the technical direction of how we optimize it is yours to argue with data. The problem: the checkpoints run 0.3-1.5 TB, and the "right" serving configuration depends on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, and quantization tolerance, all variables that shift week to week. Most teams pick a configuration once, over-provision GPUs, and absorb the cost. We don't: we took Kimi-K3 (1.5 TB) from over an hour cold-to-serving to under twelve minutes with a shared filesystem, O_DIRECT weight loaders, and node-local JIT caches, and we're nowhere near done. Prefill/decode disaggregation and tiered KV caches are next. Stack: Python; SGLang; vLLM; TensorRT-LLM; PyTorch; fastsafetensors; CUDA-adjacent tooling; Kubernetes; virtiofs shared filesystems; ClickHouse; OpenTelemetry; Prometheus; Grafana; GitLab CI. Requirements You've built real ML systems for 5+ years, and your portfolio shows depth in inference or training infrastructure, not just model training notebooks. Your Python is production-grade: services, not scripts. You've run vLLM, SGLang, or TensorRT-LLM for real, and you have a working mental model of why an engine performs the way it does on a given GPU. You've measured quantization regressions, not just compression ratios. Multi-GPU and multi-node setups hold no fear: tensor and expert parallelism, collective communication, and their practical failure modes. You know where the bytes live (page caches, O_DIRECT, network filesystems under terabyte-scale reads) and how fast they move. You instrument before you optimize, and you can tell a real win from a benchmark artifact. A wide mandate excites you more than it unsettles you. Nice to haves You've worked on LLM routing specifically: RouterBench-class evals, cost/quality/latency Pareto fronts. Calibration, abstention, or conformal methods in production decision systems. You've run online A/B loops with drift monitoring on a model that touches real money. Responsibilities Push throughput. Continuous batching, chunked prefill, speculative decoding with draft models, CUDA-graph capture, and scheduler tuning across the engine fleet. Find the ceiling on each GPU SKU, then raise it. Cut latency. Attack TTFT and inter-token latency separately; profile to find the actual bottleneck (compute, memory bandwidth, scheduling, storage, or network) and fix it, not the one you assumed. Get more out of the KV cache. Hierarchical and paged attention, prefix caching on heavy-reuse coding traffic, eviction policies, quantized KV. A lot of the unrealized throughput lives here, and you'll own it. Kill cold starts. Weight loaders (O_DIRECT, fastsafetensors-class), JIT and compile caches, shared-filesystem read paths. A 1.5 TB checkpoint has no business taking an hour to reach serving. Quantize without regressing quality. INT8/INT4, FP8/FP4 across weights, activations, and KV, measured on real workloads, not just perplexity benchmarks. Scale across nodes. Distributed inference topologies, network-aware placement, prefill/decode disaggregation, checkpointing strategies that don't bottleneck on storage or interconnect. Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments. What’s in it for you? Competitive salary (depending on the level of experience). Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Company Profile: Our client provides high quality professional and personalized tax preparation, accounting, and bookkeeping services for individuals, businesses, and non-profits at reasonable rates. The company is a fast-growing medium-sized accounting firm serving clients throughout the United States, with a Philippines-based accounting team of nearly 30 professionals that continues to expand. Overall purpose and responsibilities of the role: The Director, US Tax & Accounting will be responsible for preparing and reviewing standard US tax returns, including individual (1040), partnership (1065), S-Corporation (1120-S), and C-Corporation (1120) returns. The role also involves managing client relationships, providing tax compliance support, using QuickBooks for accounting-related tasks, and training junior staff. Experience with estate tax (1041), nonprofit tax (990), and employee benefit plan returns (5500) is an advantage but not required. Duties & Responsibilities: - Provides review, management, and thorough final detail review of tax returns for individuals, partnerships, and corporations. - Prepares tax returns when not reviewing or managing returns. - Provides tax projections, planning, and handles tax notices. - Manages professional accounting and bookkeeping services primarily using QuickBooks. - Provides light oversight of bookkeeping and QuickBooks-related activities. - Serves as a firm Tax Partner and primary point of contact. - Manages client relationships and support staff. - Acts as a trusted year-round advisor to clients. - Helps streamline operations and trains staff. - Mentors and upskills junior team members. - Provides leadership with broader strategic responsibilities developing over time. - Advises business owners on tax compliance and financial matters. - Tracks deliverables and identifies advisory opportunities. - Supports development of overseas-based client-facing leadership. Critical Skills & Experience: - Bachelor’s degree in Accounting or advanced degree preferred. - Minimum 5 years of US tax experience. - Hands-on experience preparing and reviewing Forms 1040, 1065, 1120, and 1120S. - Strong working knowledge of QuickBooks Online and Desktop. - Comfortable managing client relationships and providing advisory guidance. - Ability to advise on LLC vs partnership structuring and entity location decisions. - Must work US Eastern-aligned hours. - Proficient in Microsoft Office. - Familiarity with UltraTax and Onvio preferred. Ideal Candidate Profile: - Mid- to senior-level US tax professional, preferably with 15–20+ years experience. - Entrepreneurial, adaptable, growth-oriented. - Interested in long-term commitment and leadership growth. Nice-to-Haves: - Experience in fund accounting, private equity, or hedge fund taxation. - Background in Big Four or large accounting firms. - Experience managing client relationships and mentoring teams. - CPA designation strongly preferred. Job type: Permanent Employment type: Full-time Schedule: Monday to Friday, flexible start times (preferred 8:00 AM–4:00 PM EST, earlier starts allowed) Location: Work From Home Industry: Accounting/Financial

Location: Abu Dhabi, United Arab Emirates; Dammam, Saudi Arabia; Jeddah, Saudi Arabia; Khobar, Saudi Arabia; Riyadh, Saudi Arabia; Amman, Jordan; Kuwait City, Kuwait; Doha, Qatar Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Full-Stack and AI Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities: Design, configure, and manage cloud-based lab environments, including Azure Databricks workspaces, AI coding tools, and development repositories. Develop hands-on technical exercises, starter repositories, and training materials for a 3-day programme. Prepare and validate access requirements, permissions, and technical setups before training delivery. Lead practical workshops covering AI-driven software development, agentic coding, CI/CD, and deployment automation. Deliver hands-on training in data engineering, including Spark, Delta Lake, ETL/ELT pipelines, lakehouse architecture, and data governance. Demonstrate AI platform security, including LLM guardrails, model access control, prompt injection prevention, and production monitoring. Conduct Azure Databricks labs covering workspace configuration, notebooks, Delta tables, pipelines, and model inference. Guide participants through integrating AI capabilities into full-stack applications using Python and TypeScript/JavaScript. Perform live coding, troubleshoot technical issues, and support participants with different experience levels. Facilitate team-based capstone projects involving AI-integrated application development. Collaborate with the AI instructor to coordinate technical sessions and practical exercises. Provide complete lab materials and a post-training delivery report. 5+ years of professional software engineering experience, including full-stack development with Python and TypeScript/JavaScript. Strong hands-on experience integrating LLM APIs and developing production AI applications. Proven production experience with Azure Databricks, including workspace configuration, Delta Lake, jobs, and data pipelines. Experience with AI engineering architecture, model serving, inference APIs, retrieval systems, and model evaluation. Practical knowledge of AI platform security, LLM guardrails, prompt injection prevention, and sensitive data protection. Proficiency with agentic AI coding tools such as Cursor, Claude Code, or GitHub Copilot. Strong experience with CI/CD pipelines, Azure cloud services, and deployment automation. Hands-on data engineering experience with Apache Spark, lakehouse architectures, data governance, access control, and lineage. Experience integrating AI models into full-stack applications. Previous experience delivering technical workshops, bootcamps, or corporate training programmes. Excellent presentation, communication, live-coding, and technical troubleshooting skills. Ability to independently prepare and deliver complex hands-on technical labs. Must be based in the UAE and available for 3 consecutive on-site training days in Abu Dhabi, plus approximately 3 days of remote preparation. Must have no current or previous engagement with the end client. Nice to have: Experience with NVIDIA AI Enterprise or GPU-accelerated AI workloads. Experience delivering technical training or solutions within public-sector or regulated environments. Knowledge of UAE data protection and compliance requirements.

Location: New York Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. 💥 What will you do? Be Part of the initial team in USA and will lead strategic expansion into the US region. Work closely with other business services support groups, including sales support and marketing personnel Conduct sales needs analysis with new and prospective customers, including the development of client-centric product solutions. Be responsible for achieving a monthly unit quota in sales across our investigations product for State and Local law enforcement agencies and other government entities charged with investigating or prosecuting crypto-related crime. Design, develop, and deliver sales proposals and presentations on product benefits Self-generate leads by contacting prospective clients by telephone, cold call premise visits, networking, and industry events. Maintain all sales databases necessary to report sales activity and customer information. Attend all sales meetings and training sessions as required by management. 🙋 What makes you a great addition to the team? Fluent in English At least 4+  years of prior sales experience Prior startup experience or experience at a boutique firm is a big plus Previous investigations/local government/blockchain experience is a big plus Proven sales track record Exceptionally strong relationship and people management capabilities A creative problem solver, results driven and self-motivated Possesses a resilient personality and reacts well under pressure High emotional intelligence and independent thinker Well organised with the ability to prioritise workload and use time effectively Ability to handle changing requirements and unforeseen problems rapidly and positively ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As we expand rapidly globally, we are looking for a highly motivated middle to senior level legal counsel with experience in Web3 products. In this role, you must have outstanding core legal skills, including research and writing, the ability to assess risk appropriately in newly regulated and unregulated environments as well as where multiple regulatory regimes apply, and a strong work ethic. What You’ll Be Doing Provide legal advice and support to the internal stakeholders for new products, new features to existing products, marketing material of Web3 products and changes in applicable regulatory environments Draft, maintain, review and negotiate a wide range of documents, including commercial agreements, internal policies, terms of service, legal disclaimers and other templates to be used by business teams Liaise and manage external counsel whenever required Monitor and advise on legal and compliance developments (especially in the US) and their impact on the Web3 business Maintain and brief internal stakeholders on internal standard operating processes that the Web3 Products legal team own Provide general support to the Web3 business teams What We Look For In You Qualified lawyer with 8-15 years PQE, preferably with experience in blockchain and other decentralised Web3 products and services, including but not limited to token projects, dApps and aggregator platforms. Candidates with U.S. Bar admission are strongly preferred Familiar with product management and software development workflows Sound judgment on business practices, internal and external stakeholder relationship management and reputational risk. Proficiency in spoken and written English. Chinese is a plus Very well-organized, detail-oriented, presentable and with excellent drafting and communication skills (both verbally and in writing) Ability to manage stakeholders in high pressure and/or time-sensitive situations Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Задачи: — Разработка автотестов на Python с использованием pytest/unittest. — Написание запросов для проверки данных в базе данных, включая оконные функции и джоины. — Тестирование API (REST, SOAP) и интеграций с Kafka, Elasticsearch. — Тестирование пайплайнов Spark, Airflow, NiFi, Dolphin. — Создание тест-планов, чек-листов и отчетов о дефектах. — Приоритезация тестовых сценариев на основе бизнес-критичности. Требования: — Гражданство и локация только РФ. — Опыт разработки автотестов на Python не менее 5 лет. — Опыт работы с CI/CD системами (Jenkins, GitLab CI). Будет преимуществом: — Написание unit-тестов на JUnit/TestNG. Условия: — Удалённая работа. — Вилка зарплаты до 180 000 рублей на руки. О компании: — Компания Devquality работает в ИТ-области более 10 лет, занимается разными видами тестирования и поддерживает руководителей проектов в обеспечении качества релизов.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role We're looking for an Intermediate Site Reliability Engineer to join the Cells Infrastructure team in GitLab's Scale & Architecture organization. In this role, you'll help build and operate Cells, the architecture that lets GitLab.com scale horizontally. Cells splits GitLab.com into many independent units, each with its own application and data stack, behind a shared routing layer. This is a build-it-and-run-it role. You'll provision cells, route traffic to them, deploy them safely, and keep them reliable in production. You'll also help move customer organizations onto Cells, one of GitLab's most important scaling initiatives. What you'll do Operate Cells in production: join the on-call rotation, respond to incidents, lead post-incident reviews, and drive corrective actions to completion. Define and monitor service level objectives (SLOs) for routing and cell health, and build the dashboards, alerts, and runbooks behind them. Provision and operate cell infrastructure on Amazon Web Services (AWS) and Google Cloud Platform (GCP), including Kubernetes, networking, Identity and Access Management (IAM), PostgreSQL, Redis, and object storage. Develop infrastructure as code with Terraform, Helm, and GitOps tooling such as Argo CD. Operate and extend the global routing layer, built on Cloudflare Workers, Envoy, and a Go service backed by Cloud Spanner, and expand routing to more protocols and services. Improve the continuous integration and continuous delivery (CI/CD) pipelines behind ring-based deployments, covering promotion, database migrations, quality assurance validation, and rollback. Support organization migrations by preparing destination cells and helping with dry runs and production cutovers. Work with product teams to make their services cell-compatible, and write documentation so others can operate Cells with confidence. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Professional experience running production infrastructure at scale on AWS, GCP, or both, including Kubernetes, along with strong Terraform and Helm skills. Proficiency in Go, or strong experience in another systems language and willingness to work in Go daily. Solid grounding in site reliability engineering (SRE) best practices: SLOs and error budgets, blameless post-incident reviews, reducing toil through automation, capacity planning, and designing for graceful degradation. Experience owning services in production, including on-call, incident response, and monitoring with tools such as Prometheus and Grafana. Practical knowledge of progressive delivery: how to roll changes safely across a fleet and how to roll them back. A strong understanding of distributed-systems fundamentals, such as request routing, proxies, consistency, and failure domains. Experience working effectively in distributed, all-remote teams: you default to asynchronous, written-first communication, document decisions in issues and merge requests, hand off work cleanly across time zones, and stay transparent about progress and blockers. Experience with Cloudflare, Spanner, Argo CD, TypeScript, or operating GitLab at scale is a plus, not a requirement. About the team Every team in our organization owns its services end to end, from design through on-call.We own the control plane that tracks cells and decides where each request belongs, and keep the fleet in step with GitLab's release cadence.We work closely with delivery, database, migration, and product teams across GitLab. Feature teams own how their services behave on the platform; we own the underlying infrastructure.We're an all-remote, asynchronous team. We make decisions in GitLab issues, use directly responsible individuals (DRIs) to own technical direction, demo our work weekly, and use AI-assisted workflows every day. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: United Kingdom Workplace: hybrid About the Client Our client is an international payment services provider. It offers payment infrastructure and services to merchants and other businesses. Role Overview Take ownership of new business growth in the UK. You will build an outbound pipeline, win low-risk merchants, and work with internal teams to support a smooth move from sale to onboarding. The role offers room to develop your market knowledge and make a direct commercial impact. Key Responsibilities Drive new business by selling card acquiring and payment acceptance solutions to low-risk merchants across the UK. Build and manage an outbound pipeline through prospecting, networking, referrals, and industry events. Identify, approach, and close merchant opportunities in e-commerce, retail, digital services, SaaS, and other low-risk sectors. Work with Risk, Compliance, Product, and Operations teams to support efficient merchant onboarding and implementation. Maintain accurate CRM records, sales forecasts, and pipeline reports. Manage opportunities from first contact through to signed agreement. Requirements Proven B2B sales experience within payments and FinTech. Proven experience selling card acquiring or payment acceptance solutions. Strong understanding of the UK payments market and local payment methods. Demonstrated success in generating an outbound pipeline independently. Experience managing the full sales cycle and closing new business. Understanding of merchant pricing, settlement, onboarding, risk, and compliance fundamentals. Strong CRM discipline, with structured pipeline management and reporting. An existing network within the UK payments ecosystem is a strong advantage. Ability to work independently with minimal supervision. Languages: English. Experience in fintech. Key Soft Skills Strong hunter mentality and a proactive approach to business development. Excellent communication, presentation, and negotiation skills for working with international clients. Results-driven approach with a high level of ownership and accountability. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. High-impact role in a scaling fintech company. Recognition of personal milestones and achievements. Social benefits.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Lifecycle Marketing Specialist San Mateo, CA / Hybrid The Lifecycle Marketing team is part of the broader Global Media and Omnichannel Marketing function within PlayStation and is responsible for implementing multi-channel digital programs and campaigns developing a relevant dialogue with tens of millions of customers across the globe. We are advocates for the player . Crafting unforgettable digital experiences that fulfill player curiosity, boost gameplay and drive revenue. We use data-driven insights to build one-to-one relationships and personali z ed journeys with players across web , email, mobile and on-console. The Lifecycle Marketing Specialist role is responsible for delivering lifecycle campaigns head to tail including planning, testing, executing and measurement specifically for Live Service and franchise titles . This creative and innovative individual will work closely with our Creative Studio, Data Science, Audience & Measurement and Marketing teams across the Americas, Europe, and Asia. Together, we are on a mission to redefine owned channel marketing and its relationship to company growth and player engagement. Main responsibilities: Build, configure, test, QA and launch multi-channel campaigns and automated journeys directly within campaign management tools for Live Service and franchise software titles across email, mobile and on-console messaging channels. Partner closely with senior lifecycle marketing leads to translate strategies and campaign blueprints into high-quality campaigns, moving efficiently from brief through build, approval and launch. Plan campaigns based on existing campaign blueprints, and collaborate with team to iterate and improve on prior campaign structures. Operate with agility in a fast-moving live-service environment, adapting campaign plans, journeys and priorities in response to game updates, player behavior, business needs and emerging opportunities. Lean into automation and trigger-based messaging, spotting opportunities to scale our lifecycle programs. Collaborate with team to drive ‘Player Centricity’ through models, content and player insights to achieve 1:1 personalization at scale across the channel mix. Analyze campaigns and journeys to understand the performance of these activities and build on the results for the next iteration. Share these results back to the business with clear insights and opportunities. Collaborate on test and learn strategy to optimize campaigns; feeding all insights gained back into a continuous process of testing and refinement. Keep a pulse on the lifecycle marketing landscape, seek and understand emerging trends, technologies and innovation to provide ongoing learning for the marketing organization. What we’re looking for: Educated to degree level in a related field such as Business, Marketing and a strong academic record. 3+ years of proven experience in B2C marketing, customer lifecycle management, engagement marketing. Experience building Lifecycle Marketing program support for Live Service games is desirable. Highly organized - able to handle a full workload and progress multiple ambitious projects simultaneously thanks to your skill and work ethic. Passionate about the customer– you look at quantitative and qualitative consumer insights to make decisions and recommend improvements. Strong communicator who comfortable briefing Creatives, Analysts, Engineers, Legal and management. Strong analytical and quantitative skills with a consistent track record in data-based decision making. Innovative and constantly exploring new ways of doing things and challenging the status quo. Sophisticated communicator with excellent influencing skills. Experience in Salesforce Marketing Cloud, Journey Builder, and Interactive Studio or equivalent ESP. Excellent interpersonal skills with expertise and integrity that will earn respect and trust with internal team members and external vendors. Experienced in establishing relationships and operating compassionately across cultures. This includes collaborating openly and bringing together different perspectives to drive well-informed decisions. #LI-SV1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $95,800 — $143,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten has emerging co-sell relationships with multiple strategic marketplaces and clouds, including OpenAI https://www.baseten.co/talk-to-us/openai/?utm_source=google&utm_medium=paid_search&utm_campaign=acquisition_ICA-OpenAI-Partnership_2026-09-30&utm_term=baseten%20openai&utm_campaign=Search+-+Models&utm_source=adwords&utm_medium=ppc&utm_id=24316507588&hsa_acc=9990356727&hsa_cam=24316507588&hsa_grp=199416272086&hsa_ad=826599669780&hsa_src=g&hsa_tgt=kwd-2504168645905&hsa_kw=baseten%20openai&hsa_mt=e&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=24316507588&gbraid=0AAAAAqCKh1tZ-ESp-CbtgHnyoj6pkRZGL&gclid=CjwKCAjw56zWBhB0EiwAdPOQOTzW3Bhx_UxkJI6XA8gB1rqClDpNVWFQtTzWlO0RBCV5Xx_yB54yDxoCcd4QAvD_BwE, NVIDIA and other Hyperscalers, Model Labs, and Data Platforms. The task at hand is to enable and activate partner sellers and to ensure that our internal field teams are well-supported to work successful with partner teams. As Baseten’s Partner Enablement Lead, you'll turn each partnership into a repeatable field motion. You'll work out why a partner account executive should care about Baseten, which of their customers are a fit, and what joint execution looks like. Then you'll co-build what it takes for sellers on both sides to run that play: the value proposition, the account mapping, the talk tracks, the training, and the relationships with partner field leaders. As always, the work starts with earning partner attention. This is a strategic, hands-on role for an ecosystem GTM operator who peaks in enablement. Your work will include deep cross-functional collaboration, instructional design, content development, and training delivery. You won't own partner-sourced pipeline directly, but you will make those who do much more effective. Our partnerships span Hyperscalers, Model Labs, Semiconductors, Consulting and Systems Integrators, and Data Platforms. While much of what partner enablement looks will be in your hands to define, it will include getting in front of field sellers, developing co-sell opportunities, and driving adoption of marketplace incentives for customers to buy Baseten against the commitments they already have. You'll report to the Head of GTM Enablement & Productivity and work closely with our Partnerships, Sales, FDE, Marketing, and RevOps teams. WHAT YOU'LL DO Design the joint go-to-market motion with strategic partners - Build a working picture of each partner's field: seller roles, how they're paid and measured, what makes them bring in a third party, and what gets in the way. - Define joint value propositions, customer triggers, and target segments in partnership with our alliance leads and sales & revops leadership. - Turn those into co-sell plays with clear entry points, owners, and next steps for both sides. - Run account mapping with partner teams so the plays land on specific accounts, not just slides. Activate partner field teams - Activate partner sellers and their managers to be aware of Baseten, confident in when to pull us in, and motivated to do so. - Build relationships with partner field leaders, partner development managers, and ISV teams so enablement reaches the sellers who matter. - Plan and run activations by region and segment: field briefings, account planning sessions, joint office hours, and events alongside our partnerships team. - Teach both sides how marketplace and co-sell mechanics work, so those programs make deals simpler and faster to execute. Enable Baseten's own sellers on partner motions - Make sure our AEs, SAs, and FDEs know how to work a partner-sourced or co-sell deal: how to engage the partner rep, how attribution and credit work, and which plays to run. - Build or collate the playbooks, demos, and certifications our team needs, and keep them current as each partnership changes. - Bring partner content into our onboarding and GTM Academy so new hires learn the partner motion from day one. Measure and evolve programs - Define how we measure activation: trained and engaged partner sellers, joint account plans, co-sell opportunities registered, and partner-influenced pipeline. - Work with RevOps on the operational side of partner programs, including deal registration, marketplace private offers, and POC and MDF requests. - Report monthly to GTM leadership on what's working, what isn't, and advise on where to invest next. WHAT WE'RE LOOKING FOR - 5+ years in partner or alliance GTM, partner enablement, or field GTM at a cloud, data, AI, or infrastructure company. - Hands-on experience activating co-sell with at least one hyperscaler or major platform partner (Microsoft, AWS, Google Cloud, NVIDIA, or similar). - You think in pipeline and seller behavior as well as in curriculum. You can explain a joint motion end to end, from partner incentives to the first customer meeting. - Enough technical depth to be credible with SAs and engineers on both sides. You don't need to be an ML engineer, but you should be comfortable learning inference, model serving, and GPU and token economics quickly. - You want to build: the play, the deck, the training, the measurement plan. You don't stop at the framework. - Comfortable working across teams you don't control, inside Baseten and inside partner organizations much larger than ours. Strong candidates may come from a mix of backgrounds such as: - Cloud alliances or partner GTM at a data or infrastructure ISV that co-sells with the hyperscalers. - ISV, partner development, or marketplace roles inside a hyperscaler or NVIDIA. - Partner enablement leadership at a technical company, with a track record tied to pipeline rather than training volume. - A partner-facing SA or SE who moved into enablement or GTM strategy. NICE TO HAVE - Experience with Microsoft co-sell programs, Azure Marketplace, or NVIDIA's partner and ISV programs. - Experience at an AI infrastructure, model provider, or developer platform company. - Built a partner function or partner enablement program from scratch at a growth-stage company. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Oakland, California, 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. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are now one company. Together we build the data movement and transformation tools that data teams around the world rely on. Our Analytics team runs on those same tools every day, so you'll work on a modern data stack and help set best practices for the industry. As a Senior Product Analyst, you'll help product leaders understand how customers adopt, use, and stay with our core Fivetran data movement and dbt platform products as well as new product releases spanning AI, BI, and compute. You'll be a "full-stack" analyst. You'll build the data models, define the metrics, create the dashboards, run the analysis, and turn it all into recommendations that shape what we build next. AI is part of how we work. We expect analysts to use AI tools thoughtfully to accelerate analysis and increase efficiency, while applying their own judgment and validating the results. This is a full-time, flexible hybrid position based in Oakland, CA. Our hybrid work model offers remote flexibility and in-person collaboration; there is no fixed number of required office days, and we encourage teams to meet in person regularly. Why This Role Is Exciting Two product portfolios just came together. Many questions about how customers use Fivetran and dbt together have never been asked. You'll be one of the first people to answer them. Your work drives leadership decisions. You'll focus on adoption, engagement, and retention, the metrics product leaders use to decide where to invest. You own the work end to end, from raw data to the decision it informs. You'll analyze products built for people like you. Our customers are data teams. Technologies You’ll Use SQL (BigQuery / Snowflake) dbt / dbt State Looker / LookML / Omni Hex / Sigma / Google Sheets Claude Code / Codex What You’ll Do Partner with product managers and product line leaders to understand problems and potential solutions with data. Deliver regular analysis and insight on product adoption, engagement, and retention. Proactively investigate trends in user behavior and product usage. Find issues and growth opportunities before anyone asks, and use them to shape product and growth strategy. Define, measure, and monitor the KPIs that show whether our products are healthy and whether the company is on track. Size the potential impact of new product initiatives and recommend how to prioritize them. Analyze product launches and experiments, and recommend what to do next. Find and reduce friction in the funnels users go through to sign up, activate, and adopt our products. Tackle questions where product data meets broader business data, such as revenue, sales, and support. Build and maintain the data models, metrics, and dashboards behind your work. Help new hires, colleagues, and partners understand our data and use it well, so data-informed decisions become the norm. Skills We’re Looking For 5+ years in analytics, mostly in product analytics, ideally at a high-growth B2B or SaaS company. Advanced SQL. You can turn messy, raw data into clean, trustworthy datasets, and write, debug, and explain SQL yourself. Comfort using AI tools in analytics workflows to explore data, draft or improve SQL, automate repetitive work, and synthesize findings. You can evaluate and validate AI-generated output. Hands-on experience building data models, ideally with dbt, creating dashboards in a BI tool such as Looker, Omni, or Tableau, and performing funnel, cohort, and segmentation analysis. A track record of using analysis to drive product or business decisions, not just report on them. You can take an open-ended question with little direction and turn it into a clear analysis and recommendation. Strong attention to detail and prioritization. Clear written and verbal communication, including the ability to explain findings to executives and technical tradeoffs to engineers. Experience influencing cross-functional, distributed teams, both asynchronously and in real time. Bonus Skills ​ Experience designing and analyzing experiments (A/B/n tests), including test design, sample size, significance, and turning results into launch decisions. Deep knowledge of the SaaS customer lifecycle and business metrics, such as ARR (annual recurring revenue), retention, and expansion. Experience defining product events and helping teams self-serve in product analytics tools like Amplitude, Mixpanel, or Heap. Experience developing and scaling a large dbt project. Python or R for analysis. #LI-DJ1 #LI-Hybrid 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 $156,082 — $195,102.50 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: New York, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Team OKX's Legal team provides legal advice and guidance to the company across all coverage areas and geographic locations, and supports business growth and development by working with all teams within the company to help them achieve their goals. We are a high-functioning, collaborative and fast-paced group of lawyers who enjoy the cutting-edge nature of our work and the digital assets industry. Sitting in the Legal department, the Corporate Investigations team investigates fraud, misconduct and abuse committed against OKX. The team includes experienced investigators, among them former federal agents, and partners closely with the Compliance, Risk, Finance, and HR departments, colleagues in the Legal department, and business executives across OKX's global footprint. About the Opportunity This is a senior, high-impact role for a former federal prosecutor who wants to build and lead a global investigations function. The Head of Corporate Investigations will be the single accountable owner for investigating wrongdoing against OKX and developing these matters for appropriate recovery and civil or criminal enforcement as warranted. As OKX's most senior investigations leader, you will set the standard for how the company uncovers and responds to wrongdoing, leading investigations that reflect the highest standards and best practices in the field. This is an opportunity to build a world-class investigations program, one whose rigor, independence and integrity protect OKX's people, assets and reputation Where an investigation warrants it, you will be responsible for bringing matters to the appropriate authorities in the US, EMEA and APAC, ensuring each case is built to a prosecutorial standard and supported through to any civil or criminal resolution. We offer a competitive base salary and bonus structure as well as excellent benefits and an opportunity to work in a cutting-edge industry that will be the future of financial services. Extensive international travel on short notice expected in this role. What You'll Be Doing Lead the function and the team. Set the strategy, standards and methodology for internal investigations globally. Own intake, triage and prioritization. Manage and develop a team of investigators that includes former agents. Run investigations. Direct investigations from allegations through findings, including interview strategy, subject and witness interviews, digital forensics and financial tracing. Personally lead the most complex and sensitive matters. Build cases to a prosecutorial standard. Own OKX's framework for deciding which matters warrant escalation to authorities and in which jurisdiction. Build strong cases to the evidentiary and procedural standards of that jurisdiction, and partner with the Litigation team to pursue recovery of losses. Manage engagement with authorities. Where matters are brought to the attention of authorities, oversee OKX's engagement through to resolution, including providing evidence, making witnesses available and responding to legal process, as appropriate. Own law enforcement relationships. Build and maintain relationships and networks with law enforcement and prosecutors worldwide, including federal, state and local authorities in the US, EMEA and APAC. Partner across the company. Work with Compliance, Risk, Finance, HR, colleagues in the Legal department, and business executives to investigate and resolve matters effectively. Strengthen controls and report to leadership. Translate investigative findings into control improvements that prevent recurrence. Report significant matters and trends to senior leadership. What We Look For In You Prior service as an Assistant United States Attorney is required. Experience as a trial attorney in the DOJ Criminal Division, such as the Fraud Section, will also be considered. A substantial record of investigating, charging and trying federal white-collar and fraud cases, including leading grand jury investigations and working closely with federal agents. A deep understanding of what makes a case prosecutable and what prosecutors and police need before they will accept one. In-house or law firm experience leading investigations required. A JD and membership in a US state bar. 15+ years of legal experience. Experience leading and developing investigative teams, including former law enforcement professionals. Sound, proportionate judgment, with a commitment to fairness and due process for the individuals under investigation. Exceptional written and oral communication skills, with the ability to deliver clear findings to senior leadership and credible presentations to law enforcement. Discretion, integrity and composure in sensitive, high-stakes matters. A self-starter who is comfortable working independently in a fast-paced, growth-stage, multicultural environment and across global time zones. Ability to collaborate effectively across functions and earn the trust of stakeholders at every level. Nice to Haves Experience in financial services or digital assets. Exposure to cases involving cryptocurrency or blockchain tracing. Experience engaging with foreign law enforcement and prosecutors, or with international cooperation mechanisms such as MLATs, particularly in Asia-Pacific. Supervisory experience within a US Attorney's Office, such as a unit chief or deputy chief. Global investigations experience. Language capabilities: Mandarin Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $240,426 - $360,639 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. What You’ll Do: As a Senior Software Engineer, ML Platform, you will work on our ML Data Team and be instrumental in architecting, implementing, and maintaining foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, Ads, and much more to fulfill Reddit’s mission of bringing community and belonging to everyone in the world. You will create ML data-governance tools that help MLEs discover and reason about signals, while contributing across the broader ML data platform—including prediction logging and training data systems. Lead the design, development, testing, and operation of ML signal-governance capabilities that help MLEs discover signals and understand their ownership, lineage, quality, and usage. Build tools that help teams assess signal importance and make informed lifecycle decisions. Partner with MLEs and cross-functional teams to define governance workflows and deliver reliable, intuitive ways to explore and act on signal metadata. Contribute across the ML Data Platform, including prediction logging and training data platforms, to design, develop, test, and operate batch and streaming pipelines processing petabyte-scale data. Drive complex projects end to end from technical planning and design through implementation, testing, rollout, and ongoing operation. Who You Might Be: 5+ years of experience in the ML Platform domain. Strong customer focus and experience driving projects from requirements to production in close collaboration with multiple cross-functional partners (XFN). Experience with large-scale batch and streaming data processing. Experience building production-quality systems with testing, monitoring, observability, and reliability practices. Deep understanding of distributed systems and data-intensive architectures, with strong communication and collaboration skills. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.