Вакансии

Location: Vienna, Austria About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. A junior Controls Analyst sits in the second line and does the groundwork that keeps the control environment visible — maintaining the inventory, gathering evidence, testing controls. Core responsibilities Risk and control framework Maintain the approved control inventory, including control descriptions, owners, frequency and evidence requirements; process additions through the agreed governance process. Map controls to processes, risks and applicable obligations. Identify control gaps, duplicate controls, outdated records and missing ownership for review. Support Risk and Control Self-Assessment (RCSA) cycles by collecting inputs, checking completeness and recording changes to risks, controls and action plans. Evidence and control testing Request and organise evidence from control owners across departments, maintain an accessible audit trail and follow up on overdue submissions. Perform sample-based second-line testing under an approved test plan, assessing control design and operating effectiveness as applicable. Document the test scope, sample, evidence, results and conclusion. Distinguish control failures from cases that cannot be tested because evidence is unavailable, and escalate material findings. Issues and remediation Record control deficiencies and agreed actions with clear descriptions, owners, due dates and status; follow up on overdue or recurring issues. Review evidence of completed actions and, where required, retest before recommending closure. Escalate unresolved matters through the agreed process. Cross-department control monitoring dashboards Build and maintain dashboards that monitor key controls across departments against agreed thresholds, including control performance, overdue evidence, testing exceptions, open issues and remediation timeliness. Work with risk and control owners to document approved indicators, thresholds, data sources, review frequency and escalation triggers. Check that dashboard data is consistent, complete and traceable to the underlying records. Monitor threshold breaches and adverse trends, investigate anomalies with control owners, and escalate exceptions with clear context and action status through periodic risk reports and governance meetings. GRC records and audit support Keep risk, control, process, evidence and issue records current in the GRC tool; run data quality checks and prepare standard reporting extracts. Prepare relevant records and evidence for internal audit, external audit and regulatory reviews in coordination with the wider team. Requirements Attention to the details and result oriented One to three years of relevant experience in operational risk, internal controls, internal audit, compliance or a regulated operating environment. Strong Excel skills, including the ability to consolidate and check data, use formulas and pivot tables, and build clear dashboards or management reports. Ability to understand process flows and risk and control relationships, apply a defined testing method, and write clear findings supported by evidence. Clear written and spoken English, German language nice to have Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: United States Who We Are MEMX is a technology-driven exchange operator founded by members to benefit all investors. We operate MEMX Equities, MEMX Options, and MX2 Options, and provide market technology to clients. Our mission is to create healthy competition and advocate for market structure reform that results in more efficient and sensible trading experiences for all investors. Description MEMX is seeking a Legal Intern to join our team this summer. This opportunity is designed for a law student interested in gaining practical experience in the legal work behind a growing financial technology and securities exchange organization. You’ll work alongside experienced attorneys, contribute to meaningful projects, and learn how legal advice supports the business. This internship position will be offered as hybrid with 2 days in-person at our co-working office in Midtown-NYC. This internship will run from June 7 through August 13, 2027, with flexible start and end dates to accommodate the cohort’s academic schedule. *MEMX has currently approved ONLY the following states for remote work: California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Texas, & Utah. What You’ll Be Doing Conduct legal research on topics relevant to MEMX and summarize your findings for the team Assist with drafting, reviewing, and proofreading regulatory filings and other legal documents, agreements, and correspondence Help organize and maintain legal files, research and other team resources Attend meetings and collaborate with attorneys and colleagues across the organization Support additional legal projects as needs arise throughout the summer Requirements Currently enrolled in a J.D. program Strong legal research, writing, and analytical skills Excellent attention to detail and organizational skills Clear communication and a willingness to learn Ability to work in person at our Midtown Manhattan office during the summer Permanent residence in one of MEMX’s approved states for remote work during the internship What You’ll Gain Hands-on experience with legal work in the financial markets Mentorship and guidance from experienced attorneys Exposure to how the Legal team works with teams across MEMX Opportunities to connect with fellow interns and MEMX colleagues Why MEMX At MEMX, you’ll contribute to meaningful work alongside experienced professionals while developing your skills and learning how our exchanges operate. As part of our summer internship program, you’ll also have access to: Learning opportunities: Attend Lunch & Learn sessions, professional development workshops, and relevant courses. Mentorship and support: Learn from a mentor and a designated buddy who can help guide you throughout the summer. An intern cohort: Connect with interns working across other MEMX teams. Social events: Get to know colleagues, with opportunities to connect with members of MEMX’s C-suite. Regular feedback: Check in with your manager and HR to discuss your progress, ask questions, and get support Future opportunities: All interns are considered for potential internship extensions or a full-time opportunity after graduation, based on performance and business needs. Pay Rate: $40/hourly Application Materials: Please submit the following materials: Résumé Cover letter Writing sample (optional) Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

Location: European Union Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are hiring an Accounting Automation Engineer to replace manual accounting work across a multi-entity, multi-country enterprise, using Claude Code and agentic AI. You will use Claude Code and agentic AI, plus Python or JavaScript/TypeScript, to automate accounts payable, accounts receivable, reconciliations, month-end close and the wider day-to-day accounting operation. You need strong IFRS or US GAAP knowledge to get the numbers right, because an automation that posts wrong entries is worse than no automation. KEY RESPONSIBILITIES The goal is to automate the repeatable core of enterprise accounting, with human review kept only where judgment is needed. Accounts payable - Invoice capture and data extraction from PDFs and email, using AI where useful - Vendor matching, coding suggestions, and 2-way/3-way PO matching - Duplicate invoice detection and approval routing - Payment run preparation and vendor statement reconciliation Accounts receivable - Invoice generation and delivery - Cash application and bank receipt matching - Aging reports, dunning and collections reminders - Credit note handling and bad debt/ECL provision support Reconciliations - Bank and card reconciliations across all accounts and currencies - Balance sheet account reconciliations (prepayments, accruals, deferred revenue, fixed assets) - Intercompany and subledger-to-GL reconciliations - Exception reports that flag only the items a human needs to review Month-end close - Close checklist tracking and scheduled reminders - Recurring, accrual, prepayment and amortization journals - Depreciation runs and FX revaluation - Trial balance checks, flux/variance analysis, and draft commentary - Management reporting packs General accounting operations - Expense report and employee reimbursement checks - Chart of accounts and master data hygiene - Audit support: evidence collection, PBC lists, sample extraction - Data pipelines between ERP, banks, payment platforms and spreadsheets QUALIFICATIONS Two things matter most, and we weigh them above everything else: 1. Strong knowledge of IFRS or US GAAP 2. Real experience with AI coding tools, ideally Claude Code, backed by solid engineering basics We accept two paths: an accountant who learned to code, or an engineer who learned accounting. Both are judged on the same practical test. - Hands-on experience building automations with Python or JavaScript/TypeScript (either is fine) - Daily, hands-on use of AI coding tools, ideally Claude Code, with solid engineering basics, shipping working scripts and agents - Ability to run local scripts and schedule jobs (cron, task schedulers or CI pipelines) - Strong knowledge of IFRS or US GAAP, shown by ACCA, ACA, CPA or equivalent, or by several years of hands-on accounting experience - Experience with core processes: AP, AR, bank reconciliation, month-end close - Comfort working with APIs and MCP servers, CSV/Excel data and basic SQL - Care for accuracy, controls and audit trails NICE TO HAVE - Experience in multi-entity or multi-currency environments, including intercompany and consolidation - Experience reconciling payment processor statements across multiple jurisdictions and currencies - Experience with shared cost services that invoice group companies, including complex expense splits and automated invoice generation - Experience with an ERP and its API (which ERP does not matter) - Experience building AI agents and agentic workflows, including tool use and MCP servers - Knowledge of VAT/GST and e-invoicing rules in several jurisdictions - Experience with Git, testing and basic cloud deployment - Prior experience in a finance transformation or accounting operations team - Additional languages, where our entities operate in non-English markets LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Задачи: — Создать веб-сервис для заказа заказной упаковки (пакеты дой-пак, гассет, с плоским дном, банки, этикетки) с индивидуальным дизайном под ключ. — Разработать каталог и промо-страницы с типами пакетов, материалами (крафт, матовый/глянцевый, soft-touch), барьерными свойствами, заказом набора образцов (Sample Pack). — Реализовать интерактивный конфигуратор с пошаговым выбором размера (мл/г/мм), материала, опций (зип-замок, клапан дегазации, еврослот) и тиража с динамическим пересчетом цены. — Обеспечить возможность скачивания штампов (штанцформ) в PDF/AI и загрузки готовых макетов клиентом. — Создать B2B личный кабинет с историей заказов, повтором в 1 клик, статусами производства, хранилищем макетов, реквизитами. — Локализация и интеграции: метрическая система (граммы, мм), цены в рублях. — Интеграция оплаты через ЮKassa, СБП, автогенерация счетов для юрлиц (DaData по ИНН). — Интеграция доставки с калькуляторами СДЭК и Деловые Линии. — Обеспечить быструю работу конфигуратора и удобную админку. Требования: — Стек на усмотрение: Laravel, React, Vue, 1С-Битрикс, WordPress. — Авторский минималистичный дизайн в Figma (не копия, адаптация под РФ). Условия: — Цена договорная. Контакт для отклика отсутствует, отклик по ссылке.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Team Localization is where the map meets the moment. Our localization team builds the living geospatial world model and the centimeter-level Visual Positioning System (VPS) that lets people and robots know exactly where they are, from any camera, almost anywhere on Earth. That system is learned, not hand-built. Our localization stack has moved from classical geometry to visual models trained on billions of posed images — models that have to be accurate to the centimeter, robust to lighting and seasons and clutter, and fast enough to run in production for every query. This team sits at the junction of research and production: we take what works in a paper, make it work on our data, and make it work for customers. About the Role We're hiring an AI Engineer, Computer Vision, to contribute to the deep learning models at the heart of our localization system. Working alongside experienced researchers and engineers, you'll help train and iterate on the visual models — feature extractors, matchers, pose regressors, and retrieval models — that turn a single image into a precise position in the world. This is a full-loop environment. You'll get exposure to the entire pipeline: the data the model learns on, training, evaluation, and the service that runs it in production. You'll be surrounded by people who care deeply about correctness — where a loss curve going down is not the same as a system getting better — and you'll grow into that rigor quickly. What You'll Do - Train and Evaluate Models — Implement, train, and evaluate visual localization models in PyTorch: local feature extraction and matching, image retrieval, pose regression, and scene-coordinate regression. Iterate on architectures, loss functions, and training loops to improve accuracy on real production captures. - Build Data Pipelines — Contribute to high-throughput ingestion and preprocessing pipelines that turn raw imagery, poses, and 3D point clouds into training-ready datasets, including curation, sampling, and augmentation. - Run Experiments at Scale — Run training jobs across GPU environments on our 30-billion-image corpus, working with senior engineers and ML Infrastructure to keep experiments reproducible and results interpretable. - Extend the Benchmark — Help build and maintain the evaluation suite for localization — pose accuracy, recall across lighting and season changes, and latency under production load — so results are comparable across model versions. - Support Production Deployment — Work with senior engineers to take models from checkpoint toward serving: export, inference optimization, and monitoring once live. Learn what it means to own a model end-to-end, not just hand off a checkpoint. - Bridge Research and Product — Work with the Research team and Real-World Test Lab to understand how field failures translate into training data and benchmark improvements. What You'll Bring - Experience training deep learning models for computer vision tasks in PyTorch — through coursework, research, internships, or early industry work. - Foundational understanding of at least one of: visual localization, learned feature matching, image retrieval, pose estimation, SLAM, or structure-from-motion, and the 3D geometry underneath them (camera models, epipolar geometry, pose parameterizations). - Comfort working with large image or 3D datasets — preprocessing, curation, and understanding how data quality affects model behavior. - Familiarity with GPU-based training and the ability to read and reason about training runs — identifying whether a bottleneck is in data loading, compute, or model architecture. - Strong Python skills and a habit of writing code that others can rerun and build on. - A bachelor's or master's degree in computer science, computer vision, robotics, or a related field, or equivalent practical experience. Nice to Have - Published or contributed to work on learned localization, visual place recognition, scene-coordinate regression, or vision foundation models (CVPR, ECCV, ICCV, NeurIPS, 3DV, or equivalent). - Experience with large-scale self-supervised or multi-view pretraining, or fine-tuning vision foundation models for geometric tasks. - Exposure to inference optimization for edge or mobile hardware (TensorRT, ONNX, CoreML, or similar). - Experience with petabyte-scale spatial data: point clouds, meshes, posed image collections, or geospatial indexing. - Background in robotics, augmented reality, 3D reconstruction, digital twins, or autonomous systems. - Prior industry or research internship experience shipping or contributing to a production CV system. Compensation & Benefits The expected salary range for this role is $165,600 - $221,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco, CA office on a hybrid schedule with a minimum of 3 days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: San Francisco 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 This role sits at the applied end of our post-training research efforts. You will work directly with stakeholders from the world’s fastest-growing AI companies to post-train open-source models that outperform frontier closed models on their specialised tasks. Your day-to-day is finding creative ways to extract signal from complex, domain-specific datasets and building the reward functions, environments, eval harnesses, and training pipelines that turn that signal into better models. The models you train ship to production and reach millions of users. We are looking for people with hands-on LLM fine-tuning and RL experience. Researchers who are excited by the prospect of shipping models into production, who can translate a customer's domain-specific requirements into an effective training curriculum, and who know when to be rigorous and when to iterate fast. RECENT RESEARCH - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ RESPONSIBILITIES - Design and run post-training pipelines: SFT, GRPO, DPO, RLVR, reward function engineering, and synthetic data generation. - Build task-specific training environments and evals tailored to customer domains like healthcare, code generation, and legal, spanning multi-turn tool use, sandboxed execution, and agentic workflows. - Work directly with customers to translate production data into training signal, designing reward loops from real usage patterns and handling distribution shift. - Run and analyze training experiments end-to-end: diagnose reward hacking, importance sampling drift, and advantage estimation instabilities. - Publish findings at top venues and contribute to Baseten's open-source training libraries. QUALIFICATIONS - Hands-on experience training LLMs with reinforcement learning — demonstrated understanding of GRPO or PPO beyond recipe-level reproduction, including group advantage computation, clipped objectives, and KL penalty design - Strong intuition for reward engineering: the ability to distinguish between a reward that trains effectively and one that will exploit at scale - Experience building multi-turn agent environments with tool use, not limited to single-turn question-answering setups - Comfort working across the full pipeline from dataset construction through training, evaluation, and deployment - Experience with production ML systems. Preference for candidates who have closed a training–inference loop where production data feeds back into model improvement PREFERRED QUALIFICATIONS - Experience with RL training frameworks - Publications at NeurIPS, ICML, ICLR, focused on RL for LLMs, reward modeling, or alignment 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: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role : We're looking for a Senior Data Scientist, AI Evaluation to design how Alpaca measures whether our models and agents are actually right. You'll be a senior individual contributor who turns ambiguous quality questions into ground truth, scoring methods, and eval loops that the company can trust—and uses those results to make the systems better. You'll build on an established data foundation, so the focus is raising quality and speeding up safe rollout. You'll own the quality bar, independent of the teams that build and optimize those systems. This role is for someone who cares as much about whether an answer is correct as about whether a model can generate one. You'll partner with Product, Engineering, Analytics Engineering, and business stakeholders to define what "good" looks like, build the evaluations that test it, and close the loop so evals drive iteration. If you have a strong quantitative background, have shipped rigorous, measurable work (evaluation, experimentation, or model validation), and want ownership over a greenfield eval practice at a fast-growing brokerage-infrastructure company, this is the role. What You'll Do Design AI evaluations: Define ground truth, metrics, and scoring methods for models and agents. Build repeatable eval loops: Track quality over time and catch regressions before release. Partner on infrastructure: Work with engineering and analytics engineering to operationalize eval harnesses. Drive iteration: Translate eval results into actionable recommendations for system improvements. Establish quality standards: Set evaluation guidelines, documentation, and review practices. Mentor and align: Foster evaluation best practices and build a culture of measurable AI quality across the team. What We're Looking For Track record of quantitative measurement rigor (e.g., LLM/model evaluation, metric validation, or experimentation). Strong statistical and ML foundation—you treat evaluations as experiments (sample sizing, confidence intervals, significance, handling non-determinism) and validate automated graders against human ground truth. Proficiency in Python and SQL, with experience evaluating models in production environments. Strong judgment in defining quality metrics and ground truth for ambiguous outputs. Excellent communication and cross-functional collaboration skills to align technical teams and leadership. Strong problem-solving ability in fast-paced, greenfield environments. 6–10 years in quantitative data science or ML, with focused experience in measurement or evaluation. A quantitative degree is a plus; equivalent industry experience is equally welcome. Nice to Have Hands-on LLM/agent evaluation in production, including eval harnesses, LLM-as-judge calibration, and CI regression gates. Experience evaluating text-to-SQL, analytics agents, or other systems where correctness is verifiable against data. Background in fintech, brokerage, or other domains where a wrong answer has real business or risk consequences. Fluency with AI tools in research and engineering workflows. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Europe (+/- 3 hours) Workplace: Remote 👋 A LITTLE ABOUT US We’re building the best platform for authoring, publishing, and maintaining world-class docs. Close to 40,000 sign-ups per month, over 100k Monthly Active Users, used by 2M+ people and thousands of teams like Zoom, FedEx, Nvidia, Snyk, and Google. We’re profitable, backed by P9 Capital, Notion Capital, and Fly VC, and our amazing team is spread across 15 countries in North America, Europe, and Asia. 👩‍💻THE ROLE We see Support at GitBook as a key function to strengthen customer trust. Every conversation is a chance to shape the product and make our support model more scalable. As a Technical Support Specialist, you’ll help technical teams document and share what they know with GitBook. You’ll answer product questions and troubleshoot issues with custom domains, integrations, APIs, SSO/SAML and bugs. You’ll use your knowledge of Git and DNS, and your ability to read logs across platforms to track down problems. You’ll keep first-response time, resolution time, and CSAT on track and share recurring feedback with Product and Engineering to improve GitBook. You'll turn what you learn into insight that shapes our roadmap, reduces friction and helps customers succeed long-term. 🫶YOU WILL BE VALUED FOR - Technical foundations: You know Git, GitHub/GitLab, SAML SSO, DNS and web fundamentals such as caching and redirects. - Developer fluency: You’re comfortable reviewing code, testing APIs and understanding OpenAPI specifications to support customers using our Integrations Platform. - AI forward thinking: You’re familiar with AI and LLM tools (including MCP) and keep up with new developments. You bring ideas for automation, self-service and smarter workflows. - Customer empathy and clear communication: You listen carefully and explain complex issues simply both in writing and conversation with a friendly tone. - Prioritization under pressure: You keep a busy queue moving with quick thoughtful replies while investigating deeper issues. You know when to switch focus or escalate. - Systems thinking: You don't just solve tickets. You ask why they happened and how to prevent the next hundred. - Remote collaboration: You troubleshoot with teammates, share what you learn and know when to work async or jump on a call. - Autonomy and adaptability: You take ownership, try things, ask for help when needed and learn as the product and team evolve. - Market curiosity: You follow how technology, AI, documentation and developer tools are changing and where GitBook fits. You dig into customer problems and bring ideas back to the team to improve our product, processes and customer experience. 🙌 WHAT WILL YOU BE DOING - Solving high-impact technical problems: Triage, troubleshoot and debug customer problems, knowing what needs urgent escalation and what belongs in a bug report or roadmap discussion. Document complex issues with reproduction steps and relevant logs and work with Engineering to resolve them. - Supporting customers: Help customers through our Helpdesk, Slack or Teams with everything from Authenticated Access and SAML SSO to monorepos and redirects. Ask follow-up questions to understand what they’re trying to achieve, help them get more from GitBook and build relationships where they feel comfortable sharing honest feedback. - Turning support into product insight: Spot recurring bugs, friction points and feature requests. Quantify their impact, suggest workarounds and bring clear, evidence-based recommendations to Product, Engineering and Design. - Shaping how we work: Help our small team improve how we prioritize, triage and automate support. You’ll work with evolving processes rather than a fixed playbook, take initiative with limited guidance and speak up with ideas and concerns. ✨ WHAT'S NEXT? Here's what our process will look like: - A screening interview with our People Team - 30 minutes - Interview with Support team member (technical interview) - 45 minutes - Technical Exercise - Meeting Hiring Manager + Support Team - 45-60 minutes - Meeting our CEO - 30 minutes - Offer *This process is not set in stone, we might add steps to the process as we go along, like a work sample. We will make sure to keep you posted! 👥 Join GitBook at a pivotal time as we evolve our product and team. This is a chance to shape our product, craft, and culture https://www.gitbook.com/about#open-roles.

Location: Monclova, Mexico; Monterrey, Mexico We are seeking an experienced Source Inspector to inspect manufactured components and assemblies before shipment to a U.S.-based industrial fabrication company. Working onsite in Monclova, you will verify that products meet engineering drawings, specifications, approved revisions, and quality requirements. You will identify defects, document inspection results, and help prevent nonconforming products from reaching downstream production. The scope includes fabricated metal components, welded structures, frames, panels, enclosures, sheet-metal parts, machined components, and mechanical or electrical assemblies. This is a practical inspection position working closely with Supplier Quality Management, Supplier Quality Engineering, and manufacturing teams. The role is based in an industrial manufacturing environment involving fabrication, welding, machining, and assembly. Activities include standing and walking for extended periods, using measuring tools, and following required personal protective equipment and site safety procedures. Candidates based in Monclova or surrounding areas are encouraged to apply. Candidates from other locations must be willing and able to work onsite in Monclova. Apply with your updated resume highlighting your fabrication inspection experience, measuring instruments used, and availability to work in Monclova. Responsibilities Perform in-process, final, and pre-shipment inspections of fabricated products and assemblies. Verify product identification, quantities, purchase order requirements, drawing revisions, and applicable specifications before inspection. Inspect dimensions, workmanship, weld appearance, surface finishes, and assembly quality against approved requirements. Perform basic functional checks when specified in the inspection plan. Use calibrated measuring equipment, including calipers, micrometers, height gauges, pin gauges, indicators, tape measures, and squares. Confirm that engineering changes and approved revisions have been correctly implemented. Review material certificates, supplier inspection records, test results, and traceability documentation. Identify and document nonconforming products through clear descriptions, measurements, photographs, and references to requirements. Initiate or support Nonconformance Reports (NCRs) and promptly escalate issues affecting quality, fit, function, or shipment timing. Support containment, sorting, reinspection, and verification of supplier corrections. Withhold product release when requirements are not met or supporting evidence is incomplete, following established procedures and delegated authority. Prepare complete inspection reports and submit supporting documentation within 24 hours of inspection completion. Maintain accurate, traceable records in the designated quality or ERP system. Follow ISO 9001-based quality procedures, document-control requirements, and site safety rules. Requirements At least 3 years of experience in manufacturing quality, source inspection, receiving inspection, fabrication inspection, or supplier quality. Demonstrated experience inspecting fabricated metal products or assemblies in a manufacturing environment. Ability to read and interpret engineering drawings, bills of material, specifications, tolerances, and inspection instructions. Working knowledge of GD&T , including its application to drawings using ASME Y14.5. Practical experience using precision measuring and inspection equipment. Working knowledge of ISO 9001 principles , document control, traceability, and control of nonconforming products. Experience documenting quality issues, preparing NCRs, and supporting corrective actions. Proficiency with Microsoft Excel and Outlook, and the ability to learn ERP and quality-management systems. Strong attention to detail, sound judgment, and clear written and verbal communication. Ability to work independently while coordinating with suppliers, engineering, and production teams. Availability to work onsite in Monclova, Coahuila . Preferred Qualifications Experience inspecting weldments, structural frames, sheet metal, electrical enclosures, busbar assemblies, or mechanical and electromechanical assemblies. Familiarity with weld inspection, surface finishes, coatings, and assembly verification. ISO 9001 internal-auditor training or equivalent quality-system experience. Experience with first-article inspection, sampling plans, and supplier inspection activities. Familiarity with 8D, root cause analysis, 5 Why, and basic statistical process control. Benefits Opportunity to work with an established U.S.-based industrial fabrication company. Exposure to diverse metal fabrication and electromechanical assembly projects. Close collaboration with engineering, manufacturing, and supplier quality teams. Opportunity to strengthen your technical inspection and quality-control expertise. A meaningful role in ensuring product quality and supporting successful project delivery.

Location: Seattle, Washington Workplace: Remote ROLE SUMMARY Developers experience Temporal through its core programming model, SDKs, APIs, and tools. Those surfaces determine how quickly someone understands the product, whether they can build with it confidently, and whether they can move an application into production. They also shape how customers understand newer capabilities as Nexus and Standalone Activities. We are looking for a Senior Staff Product Marketing Engineer who can work on the product, find where developers struggle, and explain Temporal without hiding the technical details. You will work directly with Core and SDK engineers, developers, customers, Developer Relations, Documentation, Sales, and Solutions Architecture. You will turn what you learn into positioning, launch plans, sample applications, demos, technical guidance, and product recommendations. Your primary charter is Core Primitives and SDKs. You may also investigate an AI pattern, integration, or other developer question when it depends on Temporal's programming model or developer experience. WHAT YOU WILL DO - Develop a detailed understanding of Temporal's core primitives, SDKs, APIs, Nexus, and developer tools. Know how the experience differs across languages and where those differences matter. - Follow the developer journey from the first code sample through testing, debugging, deployment, versioning, and production use. Identify the points that slow adoption or create confusion. - Build demos, sample applications, reference implementations, tutorials, technical briefs, launch content, and field presentations. Use working code to support product claims. - Own positioning and messaging for assigned Core, SDK, API, Nexus, and developer experience initiatives with the Core Products Director. Define the audience, problem, value, evidence, and adoption path. - Work directly with Core, SDK, and developer tooling engineers to understand the roadmap and prepare for launches before the work is ready to announce. - Own the technical story for priority developer-tool integrations. Test how Temporal works with the frameworks, libraries, and tools developers already use, then create the examples and guidance needed to support adoption. - Test documentation, onboarding, local development, testing, debugging, replay, and upgrade workflows. Give Product, Engineering, Developer Relations, and Documentation specific recommendations based on what you find. - Support selected priority deals and partner conversations when hands-on work can answer a developer question, prove a claim, or remove an adoption blocker. Turn repeated questions into guidance the field can reuse. - Own customer interviews for Core and SDK case studies when it is your turn in Product Marketing's rotation. Capture what the customer built, why they chose Temporal, how they implemented it, and what changed as a result. - Take on another important developer question when priorities change, including an AI application pattern, a new integration, a competitive claim, or an emerging use case. WHAT YOU WILL BRING - Extensive experience in software engineering, solutions architecture, customer engineering, developer relations, technical product marketing, or another hands-on technical role. - A record of building or supporting developer-facing platforms, SDKs, APIs, frameworks, or infrastructure products. - Strong proficiency in Python, TypeScript, Go, Java, or another language used to build backend applications, plus the ability to learn unfamiliar SDKs quickly. - Practical knowledge of APIs, SDKs, distributed systems, failure handling, state management, testing, deployment, and observability. - The ability to compare approaches, recommend a pattern, build a useful reference implementation, and explain the tradeoffs. - Excellent technical writing. You can turn working code and developer evidence into a clear position and guidance that experienced engineers will trust. - The credibility to lead a technical discussion with developers, a large Sales and Solutions Architecture audience, customers, and senior Product and Engineering leaders. - Independent judgment. You can find an important problem, define the work, and carry it through without waiting for a fixed backlog. NICE TO HAVE - Experience with event-driven systems, workflow engines, data infrastructure, or distributed applications. - Experience building SDKs, CLIs, testing tools, integrations, or open-source developer tools. - Experience supporting developer communities across more than one programming language. WHAT SUCCESS LOOKS LIKE AFTER ONE YEAR - Core and SDK launches you support meet agreed targets for qualified signups, first-value activation, and adoption among eligible developers, backed by working examples and technical proof. - The priority deals you support show measurable impact through technical blockers resolved, stage progression, influenced ARR, and supported-deal win rate against a defined baseline. - Repeated developer and field questions become tested guidance, reusable examples, and specific product recommendations. - Product and Engineering act on documented findings about onboarding, SDK behavior, documentation, integrations, and the developer experience. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Colombia, Huila, Colombia; São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Senior ML & Data Engineer — Data Quality & Sensitive Data Compliance This is a full-time remote role based in Brazil or Colombia. About the role Enterprise data flows through our connectors, gets processed, and passes through a sanitization layer before anything downstream touches it. Two things have to be true at every step: the data is what we think it is, and no sensitive information — PII, PHI, company identifiable information (CII), or financial data — gets through. You'll own both. You'll do this primarily by building the machine learning that detects sensitive entities in text and image data and replaces them consistently at scale. This is a hands-on IC engineering role with a QA mindset. You'll build the detection models, validation infrastructure, adversarial test sets, and audit processes that let us make strong claims about data quality and de-identification performance — and back them up with evidence. You'll work closely with a senior ML lead, with no client-facing responsibilities. What you'll do Data Quality Run deep dives into enterprise data to assess quality: topic coherence across connectors, domain depth within connectors, completeness, and consistency Design and automate validation suites for data pipelines — schema checks, completeness, drift detection, and reconciliation across raw → processed → sanitized stages Surface and characterize quality issues in ways that engineering and product can act on Sensitive data compliance (PII / PHI / CII / financial) Design, train, and evaluate ML models (NER and other approaches) that detect sensitive entities across text and image-based documents such as scans, invoices, and presentations Build replacement pipelines that substitute detected entities with coherent alternatives, so the same entity always maps to the same replacement across every file in a corpus and the data stays useful Run these algorithms over large volumes of data to prepare it for downstream agentic task building Build adversarial test sets for de-identification across all sensitive data classes: edge cases, obfuscated identifiers, multilingual entities, OCR noise, and formats designed to slip past detectors Cover company identifiable information specifically — organization names and aliases, domains and email patterns, internal project and system names, org charts, vendor and partner relationships, contract terms, and any combination of details that could re-identify the source enterprise Cover financial data — account and routing numbers, card numbers, revenue and pricing figures, transaction records, tax IDs, and financial statements Measure and report de-identification performance by data class — entity-level precision and recall, leak rates, false-negative audits, and replacement consistency Implement regression gates in CI/CD so no pipeline change ships without passing data quality and sensitive-data checks Run sampling-based human-in-the-loop audits and maintain the audit trail as compliance evidence Partner with engineering on root-cause analysis when inconsistencies or leaks are found, and drive fixes to closure What we're looking for About 4 to 5 years of hands-on machine learning experience, with ML as your primary background Strong Python for ML development and data validation (pytest, Great Expectations, Pandera, or similar) Solid SQL and experience validating data across pipeline stages Familiarity with sensitive data categories and the relevant standards — HIPAA Safe Harbor for PHI, GDPR/LGPD for PII, PCI DSS for cardholder data, and confidentiality/NDA obligations for company information Experience building and testing NER or other ML-based detection systems: building labeled eval sets, computing precision/recall, handling non-determinism Understanding of re-identification risk — how seemingly innocuous details combine to reveal an organization or individual Comfort with ambiguity and a fast-moving environment A skeptical, detail-oriented approach — you assume things are broken until you've proven otherwise Nice to have Computer vision and OCR experience, especially building, scaling, and evaluating document pipelines for contracts, statements, invoices, presentations, and internal documents Hands-on experience with financial or healthcare data, including the privacy requirements specific to those industries Startup experience Auditing LLM or VLM outputs Synthetic sensitive-data generation (PII, PHI, company and financial records) Familiarity with the GCP data stack (BigQuery, GCS, Cloud Run jobs) and CI/CD integration Experience handling multi-tenant enterprise data with strict customer confidentiality requirements Compliance reporting or working with auditors Why this role matters Our enterprise customers trust us with their data on the condition that it can never be traced back to them. Every downstream model, dashboard, and customer commitment depends on the data being clean and the sanitization layer being airtight. When you find a leak, you've prevented an incident. When you prove there isn't one, you've earned the trust that lets the rest of the company move fast. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: San Francisco, CA What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $214,000.00 - $336,000.00 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Senior Quantitative Researcher – Delta One DRW is seeking a Senior Quantitative Researcher (Delta One) to join the FICC options trading business. This individual will serve as an embedded quantitative research lead within an established discretionary and systematic options platform, with a mandate to research, develop, and validate futures-driven systematic strategies that complement and enhance the broader FICC options franchise. This role focuses on delta-one strategy research, quantitative signal generation, systematic futures execution research, and portfolio hedging across global futures markets. The individual will partner closely with options traders and developers to translate research into production strategies and integrate futures-based signals, directional overlays, and risk-efficient hedging frameworks into the broader derivatives platform. This position is suited for someone with deep quantitative expertise, a demonstrated record of research contributing to trading performance, and experience developing scalable systematic models within derivatives markets. Key Responsibilities Research, develop, and validate systematic delta-one futures strategies across global markets, including rates, FX, commodities, and equities. Build and refine quantitative signal generation frameworks to support both standalone futures strategies and options portfolios. Develop and evaluate futures-based hedging methodologies to improve portfolio risk management across the FICC options business. Research directional options overlays grounded in quantitative futures signals, partnering with traders on implementation and evaluation. Model and analyze strategy and portfolio risks, including exposure, volatility, liquidity, and cross-asset correlations. Partner closely with traders, developers, and trading infrastructure teams to productionize research, establish model monitoring, and improve execution. Conduct rigorous research, backtesting, out-of-sample validation, and performance attribution, incorporating realistic transaction costs and execution constraints. Analyze live strategy performance to identify model weaknesses, changing market conditions, and opportunities for improvement. Continuously refine models to improve signal quality, robustness, scalability, and capital efficiency. Develop quantitative frameworks to inform portfolio construction, capital allocation, and risk budgeting within the FICC platform. Qualifications 2+ years of experience in quantitative research supporting systematic trading, preferably in futures and listed derivatives. Proven track record of developing quantitative signals or models that have been deployed in production and contributed to trading performance. Strong understanding of derivatives pricing, volatility dynamics, and risk modeling. Deep experience in signal research, statistical modeling, and alpha generation. Expertise in research design, backtesting, and model validation, including addressing overfitting, data leakage, and implementation costs. Fluency in Python and experience working with large-scale financial datasets. Strong knowledge of market microstructure and execution modeling. Ability to independently lead research projects while collaborating effectively with traders and developers. Preferred Background Experience researching strategies across global futures markets, including equities, rates, commodities, and FX. Experience integrating options strategies within systematic futures frameworks. Familiarity with portfolio construction, capital allocation, and risk budgeting models. Experience working within or alongside an options trading desk. Experience supporting the full research lifecycle, from hypothesis development and empirical testing through production implementation and ongoing evaluation. Advanced degree in Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field The annual base salary range for this position is $150,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-JW1

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. We are looking for a Senior SEO Specialist to own product-related SEO tasks from idea through release. You will turn search opportunities into initiatives and tasks for product and engineering, and confirm that what is delivered works as intended. Job Responsibilities Identify technical and on-page SEO issues (crawling, indexing, site structure, redirects, canonicals, internal linking, templates, structured data) and initiate product-related tasks when they block organic performance; Prepare implementation-ready tasks and recommendations: problem, solution, affected templates or URLs, risks, and acceptance criteria; Validate proposed work with the Team Lead and SEO team before it reaches product or engineering; Consult product and development on SEO implications of planned features, template changes, and site architecture; Participate in estimations and groomings so work is sized, sequenced, and specified well enough to build; Analyze search intent, SERP structure, and competitor behavior when it affects product or template decisions; Optimize existing page types and templates for rankings, traffic, engagement, and conversions, including titles, meta descriptions, headings, internal links, page structure, and content; Support content planning with SEO briefs, keyword maps, and optimization guidelines when work touches product surfaces; Plan information architecture and landing-page structure for new product or content surfaces; Specify and, where appropriate, implement structured data; Test implementations after release against agreed acceptance criteria; Monitor performance in Google Search Console, Google Analytics, and in-house reporting tools. Track rankings, traffic, indexing, and trends tied to shipped work, not only site-wide averages; Prepare concise updates: what moved, what did not, and recommended next product or content steps; Stay current with SEO practices and search-engine updates that affect product implementation. You’ll thrive here if you have 4+ years of hands-on SEO across on-page, content, and technical work; Experience working with high-traffic international and multilingual websites; Proven experience turning SEO findings into tickets or requirements that engineering or product teams can implement; Comfort participating in agile delivery: grooming, estimation, clarification, and post-release checks; Strong understanding of keyword research, search intent, SERP analysis, and competitor research; Working knowledge of technical SEO: crawling, indexing, redirects, canonicals, internal linking, site architecture, and template-level changes; Experience with Google Search Console, Google Analytics, crawlers, and other SEO tools; Ability to analyze SEO data and turn it into a clear recommendation, with an expected effect and a way to verify the release; Clear written communication: tickets, briefs, and short performance notes that non-SEO teams can act on; Ability to work independently, manage several workstreams, and raise issues early rather than waiting for a fully specified brief. Nice to have: Experience with programmatic SEO or large-scale template optimization; Familiarity with Looker Studio, BigQuery, SQL, or another reporting stack; Basic scripting (Python or similar) for crawls, log samples, or bulk URL analysis; Familiarity with common CMS or front-end delivery setups; Awareness of generative search / AI results as a measurement context; Experience in SaaS, marketplace, media, or other product-led digital businesses. 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. 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. 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. 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 at 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. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (45 min); Technical interview (1 hour); Test task; Final interview (1 hour). Recommendations check; Job Offer.

Location: Brazil Who We Are At YallaPlay, We are a rapidly growing startup mobile gaming studio on a mission to bring people together through play, we create exciting mobile games that bring joy to millions of players worldwide. Founded in Austin, Texas, we’ve since expanded to Brazil and the UAE, growing our diverse and talented team of creators. We pride ourselves on a fun and collaborative work environment, with a remote-friendly culture and a dedication to producing high-quality, engaging games. Our current titles, including “Spades Masters” (iOS/Android), have been enjoyed by millions of players globally. Our passion lies in reinventing card games infusing them with fresh mechanics, beautiful design, and social features that spark connection and excitement. As we continue to scale, we’re looking for creative, driven individuals who are excited to help shape the future of multiplayer mobile gaming in a fast-paced, collaborative environment. Join us and be part of building something big from the ground up. The Opportunity We're looking for a Unity Developer to help build high-quality mobile games faster and smarter. Reporting to the Lead Unity Developer, you'll use modern AI development tools alongside your technical expertise to implement game features, prototype ideas rapidly, solve complex engineering problems, and continuously improve development velocity. This role spans the entire game development lifecycle, from rapid prototyping to live operations. Success requires strong Unity fundamentals, excellent engineering judgment, and the ability to use AI as a force multiplier while maintaining high standards for code quality, performance, and player experience. This position is remote and from Brazil. What You’ll Be Doing Develop and implement mobile games in Unity for iOS and Android. Use AI-powered development tools to accelerate coding, debugging, refactoring, documentation, testing, and prototyping while maintaining production-quality standards. Collaborate with designers, producers, artists, backend engineers, and QA to deliver polished player experiences. Write clean, scalable, maintainable C# code and validate AI-generated code before production use. Rapidly prototype gameplay mechanics and iterate based on team feedback. Optimize performance across a wide range of mobile devices using Unity profiling tools. Debug complex gameplay, networking, memory, and platform-specific issues. Implement gameplay systems, UI, animations, VFX, audio, and live operations features. Contribute to CI/CD, build automation, and deployment pipelines. Review code, improve engineering standards, and contribute to reusable systems and internal tools. Continuously evaluate new AI tools and workflows that improve team productivity. Participate in Agile development processes, including sprint planning and daily standups. What We’re Looking For What you need to have: Bachelor's degree in Computer Science, Software Engineering, Interactive Media, or equivalent experience. 5+ years developing mobile games with Unity. At least 2 shipped mobile game titles. Excellent C# programming skills. Strong understanding of Unity architecture, UI Toolkit/uGUI, prefabs, asset management, animation, audio, and scene management. Experience building both 2D and 3D mobile games. Experience optimizing CPU, GPU, memory, and battery performance. Experience with REST APIs, WebSockets, or multiplayer networking. Strong debugging and problem-solving skills. Experience working in Agile teams. Excellent communication and collaboration skills. AI-First Development We expect our engineers to use AI as part of their daily workflow. You should: Be comfortable using AI coding assistants (such as Unity AI, GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar). Know how to write effective prompts for technical tasks. Critically review, validate, test, and improve AI-generated code rather than accepting it blindly. Use AI to accelerate debugging, documentation, testing, refactoring, and code generation. Continuously experiment with new AI workflows that improve development speed without compromising quality. Understand the limitations, risks, and security considerations of AI-assisted software development. Why YallaPlay What You Get Real Impact – You’ll work on meaningful projects that reach a global audience. Collaborative Culture – Small team, big ambition. We keep things fun, respectful, and feedback-driven. Benefits & Perks Competitive salary Remote-first and flexible schedule- Digital nomad friendly Generous paid time off Paid birthdays off Growth opportunities and access to learning resources A team that actually loves games—and each other Next Steps Ready to join the team? We’d love to hear from you! Apply Share sample code and projects (GitHub) We review every application carefully and will be in touch if there’s a fit. Good luck!

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. By combining advanced sensing, data science, and technology designed for continuous wear, WHOOP delivers insights that help members better understand and improve their health and performance. WHOOP is looking for a Senior Sensor Intelligence Engineer to join our Embedded Controls team within Sensor Intelligence and help shape the sensing capabilities across current and future WHOOP devices. Sitting at the intersection of signal processing, machine learning, embedded systems, and sensor technology, you will develop algorithms that interpret real-world sensor signals and intelligently control how sensors operate on-device. You will work across the sensing stack from understanding sensor physics and signal characteristics through algorithm development and embedded deployment to enable increasingly sophisticated sensing capabilities while meeting the power, compute, memory, and reliability constraints of a continuously worn device. RESPONSIBILITIES: - Develop signal-processing and machine-learning algorithms that interpret physiological, motion, and other wearable sensor signals, including applications such as activity and state detection, wear detection, signal-quality assessment, and device-state estimation - Design intelligent embedded control strategies that dynamically configure sensor behavior based on signal quality, device state, user context, system requirements, and power constraints - Characterize new and existing sensors by understanding signal behavior, noise sources, artifacts, dynamic range, sampling requirements, calibration, operating modes, and the impact of analog and acquisition architectures - Prototype algorithms and sensing strategies using tools such as Python or MATLAB, then partner with Firmware Engineering to translate them into robust, computationally efficient implementations suitable for resource-constrained embedded systems - Partner closely with Firmware, Electrical Engineering, Data Science, Hardware, and broader Sensor Intelligence teams to bring up new sensing modalities, debug issues across the sensing stack, and inform sensing architectures for future WHOOP products - Develop experiments, analysis frameworks, and validation methodologies to evaluate sensor and algorithm performance across users and real-world conditions, optimizing solutions for accuracy, robustness, latency, memory, compute, and power QUALIFICATIONS: - BS, MS, or PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Applied Physics, or a related technical field, or equivalent practical experience - Strong foundation in digital signal processing and time-series analysis, with experience applying techniques such as filtering, spectral analysis, sampling theory, noise reduction, and feature extraction to real-world sensor data - Experience developing signal-processing and/or machine-learning algorithms for noisy, artifact-prone sensor data and taking algorithms beyond offline analysis toward real-time, embedded, or production implementation - Strong proficiency in Python, MATLAB, or similar algorithm-development environments, with working knowledge of C/C++ and embedded-system considerations such as timing, memory, compute, and hardware interfaces - Working knowledge of sensor and electrical systems, including concepts such as ADCs, analog front ends, sampling, digital interfaces, noise, calibration, and signal acquisition - Ability to investigate and solve ambiguous engineering problems across algorithm, firmware, sensor, and electrical boundaries using strong experimental and analytical methods - Experience with wearable, physiological, optical, impedance, motion, multimodal, or related sensor systems is valued; experience with embedded inference, sensor fusion, fixed-point processing, quantization, low-power sensing, or microcontroller deployment is a plus - 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. 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 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.

Location: Vancouver, BC Developer Advocate We’re looking for an experienced Developer Advocate in our Vancouver Office. Our work informs teams at every level of the company and drives key roadmap decisions. Asana’s developer platform is growing, and we need a credible external voice in the developer and AI community. This role is about presence, trust, and distribution. You will represent Asana in the spaces where developers and builders actually live: on social media, at conferences, in forums, and through the content you create, and you will represent those developers at Asana. We’re looking for the kind of person other developers follow because they consistently reinforce a trusted feedback loop between developers and the companies they’re building with. We need someone who can speak with real authority on agents and agentic workflows — and can articulate, better than anyone outside the company, how Asana creates value in an agentic world. If people in your corner of the developer community already look to you for approaches to AI, agentic workflows, and/or productivity tooling, we want to talk. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Design and execute developer engagement strategies that drive adoption of Asana’s platform, APIs, and SDKs. Author high-quality technical content, including sample apps, code tutorials, technical blog posts, and API documentation. Engage with the developer community across forums, events, workshops, and social channels, serving as the primary advocate for developer needs. Partner closely with Product Management, Engineering, and Design to provide actionable developer feedback and help shape platform roadmaps. Build strong cross-functional relationships with Marketing, Business Development, and Solutions Engineering to support partner integrations and growth. Mentor and guide junior advocates and community members, elevating advocacy best practices across the organization. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Proven track record as a Developer Advocate, Developer Relations Engineer, or Senior Software Engineer with substantial experience building developer community programs. Deep technical background with hands-on experience building and consuming RESTful APIs, webhooks, and modern SDKs in languages like JavaScript, Python, or Ruby. Excellent written and verbal communication skills, with a passion for breaking down complex technical topics into engaging, accessible content. Strong empathetic approach to developer experience, with a passion for understanding user pain points and championing their solutions internally. Strategic mindset with experience defining success metrics, analyzing API usage data, and translating community feedback into product enhancements. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $175,000-$235,000 CAD The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Remote We are looking for a hands-on Content Lead with a strong writing and editing background to build content production processes across teams and bring consistency to our brand communications. You’ll coordinate contributors, establish editorial standards, and create practical workflows from briefing to delivery. Alongside this, you’ll write and edit content yourself and use AI to improve production speed and quality. You’ll work with content contributors across the business to build AI-assisted workflows and shape how content is produced. As the function develops, there is room to build a dedicated team and grow into a Head of Content role with broader ownership. What You’ll Do Content Coordination & Production Bring visibility and structure to content produced across marketing teams Align priorities, maintain a content backlog, and coordinate assignments Establish workflows for briefing, production, review, approval, and delivery. Work with Brand, Design, Product, Performance Marketing, Business Development, and CRM to clarify requests and agree on deliverables. Balance planned work with ad hoc requests and take ownership of delivery. Brand Voice & Editorial Standards Develop and apply a consistent tone of voice across channels and formats. Create practical messaging guidelines, terminology, examples, and editorial checklists. Review contributors’ work for quality and consistency, and coordinate localisation to preserve meaning and tone. Hands-on Writing & Editing Write, edit, and improve content across landing pages, campaigns, CRM communications, articles, and other marketing channels. Turn financial topics, product information, and business briefs into clear, accurate, and engaging content for the intended audience. Partner with the Head of Design to ensure copy and visuals work together. Work with Compliance and subject-matter experts to ensure accuracy and meet regulatory requirements while keeping content readable. AI-Assisted Content Production Use AI for drafting, rewriting, editing, research support, and content adaptation. Build reusable prompts, reference materials, and workflows to make production faster and more consistent. Critically review AI output for facts, structure, tone, and relevance, recognising where specialist input or substantial rewriting is needed. Identify opportunities to automate routine tasks and scale content production. Requirements A strong hands-on background in copywriting, editing, UX writing, or a related content role, supported by a portfolio. Experience writing or editing financial content and the ability to explain financial topics accurately to different audiences. Excellent written English and strong editorial judgement across tone, structure, clarity, and messaging. Experience coordinating content delivery, contributors, and stakeholders, with the ability to build processes where they are still developing. Practical experience using AI for professional content work and critically evaluating its output. Strong prioritisation skills and willingness to combine substantial writing and editing with coordination and process improvement. Previous people-management experience or a formal Lead title is not required. This role can suit a strong senior copywriter or editor ready to take on broader ownership. Nice to Have Experience in crypto, trading, brokerage, or investment-related content. Experience developing tone-of-voice guidelines, messaging frameworks, or editorial standards. Experience working with Design and Compliance or Legal teams. Experience with multilingual content and localisation. Experience coordinating freelancers or agencies. Experience building AI-assisted workflows, prompt libraries, or quality checks. Basic scripting or automation skills. + Please include a portfolio or relevant writing and editing samples with your application. The process includes a recruiter conversation followed by an interview with the hiring manager, where we’ll discuss a few short practical cases together. We’ll ask you to review our products and selected landing pages beforehand. No take-home assignment is planned.