Вакансии

Проектировать и разрабатывать асинхронные, отказоустойчивые сервисы на Scala.

Location: Pasig City, Philippines DUTIES & RESPONSIBILITIES: Performs tasks according to the assigned medical writing activities including systematic literature reviews primarily for the generation of Clinical Evaluation Reports (CER), Summary of Safety and Clinical Performance (SSCP), State of the Art (SOA), Post-Market Surveillance (PMS) including Periodic Safety Update Reports (PSUR), and Premarket Approval (PMA) Food and Drug Administration (FDA) Reports, including Humanitarian Device Exemption (HDE), Investigative Device Exemption (IDE) Reports, and Health Economics and Market Access (HEMA) research. The specific tasks are to be determined based on the assigned role in the project. Supports review of work done by peer teammates, on need basis Alerts and escalates to senior members as required, whenever project deliverable risks are visualized, OR issues are encountered impacting the delivery schedule Ensures error-free and acceptable quality of assigned deliverables Responsible for ensuring training compliance and timesheet compliance Ensures that all assigned goals (e.g., utilization and efficiency) are met as per set standards for the performance year Follows and complies with the Company’s Code of Conduct, Policies, and Procedures Responsible for confidentiality, integrity, availability, and safeguarding of data Responsible for reporting of security incidents and PIMS breaches as applicable Complies with company QMS, ISMS, and PIMS requirements and applicable regulatory requirements Demonstrates adherence and compliance to PIMS/GDPR requirements as follows: data processed fairly, transparently, and lawfully; collected for specified and legitimate purposes; adequate, relevant, and limited to the specified purposes; processed in a secure manner ROLE REQUIREMENTS: At least 1-3 years of experience in medical writing, or any related field as applicable Can work in a diverse team environment Good analytical and comprehension skills Proficient in time management and can work with minimal supervision, Proficiency in oral and written English language Proficiency in Microsoft Office Suites (e.g. Word, Excel, PPT, SharePoint). EDUCATIONAL QUALIFICATIONS: Minimum bachelor’s degree in any life sciences field

Задачи: - Развитие архитектуры Cortex: LangGraph-агенты, маршрутизация запросов, мультиагентные сценарии - Разработка и оптимизация RAG-пайплайна: индексация документов, работа с эмбеддингами и реранкерами, поиск по векторным представлениям - Интеграция с LLM (Claude / OpenAI / GigaChat / open-source модели), контроль стоимости инференса, стриминг ответов (SSE) - Разработка backend-сервисов на Python - Работа с PostgreSQL, в т.ч. с хранением и поиском по векторам - Интеграция с ядром платформы Visiology через REST API (дашборды, метрики, модели данных) - Точечные задачи на Angular/TypeScript (UI Cortex) и C#/.NET при стыковке с сервисами платформы - Написание unit- и интеграционных тестов, разработка технической документации Требования: - Опыт коммерческой разработки от 6 лет - Уверенное знание Python, опыт построения backend-сервисов - Опыт работы с PostgreSQL - Понимание базовых принципов работы с LLM и RAG: эмбеддинги, векторный поиск, prompt engineering, ограничения контекста - Практический опыт работы с AI-ассистентами разработки (Claude Code, Cursor, Copilot или аналогами) - Понимание работы веб-приложений (HTTP, REST API) - Знание структур данных и шаблонов проектирования - Умение проводить качественное code review - Опыт работы с системами контроля версий (Git) - Знание английского языка на уровне чтения технической документации

Задачи: — Разработка frontend-части сайта elementaree.ru на стеке React и Apollo GraphQL Client — Поддержка мобильных приложений, построенных на web-view технологии — Участие в проектировании, включая дизайн, планирование и code review — Адаптивная верстка новых компонентов и партнерских проектов — Интеграция с аналитическими сервисами (Яндекс.Метрика, Google Analytics, GTM и др.) — На старте кандидат будет единственным разработчиком на проекте после онбординга Требования: — Понимание принципов проектирования и работы веб-приложений — Знание стандартов Javascript ES2015+ — Опыт разработки SPA на React и знакомство с экосистемой React — Навыки адаптивной и кроссбраузерной верстки, mobile first — Опыт работы с css-препроцессорами — Понимание клиентского и серверного рендеринга веб-страниц — Навыки работы с системами контроля версий Git и Github-flow — Знание методологии Канбан — Будет плюсом знание TypeScript, опыт анимации на React, знакомство с GraphQL, Apollo Client, тестированием и SSR-фреймворками Условия: — Полная занятость — Возможность удалённой работы

Ваши задачи: Разработка и поддержка современных веб-приложений.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Backend Engineer on Development Health, you'll help make the systems that engineering teams rely on more reliable, maintainable, and easier to extend. You'll build and improve the automation, tooling, and data that help teams spot problems early and ship with less friction. As customer zero for GitLab, we support engineering workflows on GitLab's own product at scale. You'll use the product in demanding, real-world ways, surface the friction and gaps you find, and contribute to improvements that get built into the product for GitLab's customers. You'll support work such as: Health alerting and remediation routing for GitLab's core continuous integration and continuous delivery (CI/CD) pipelines Flaky and slow test detection systems Engineering analytics and reporting that engineering teams use to make decisions What you’ll do Own and evolve core Development Health systems, from design through production. Improve the reliability, maintainability, and test coverage of long-lived automation, and reduce reliance on undocumented knowledge by documenting and simplifying legacy systems. Partner with engineering managers and product teams to identify workflow pain points and turn them into well-scoped, measurable improvements. Work with data to show whether changes improve engineering health, and use it to prioritize. Mentor intermediate engineers through code review, design feedback, and pairing. Communicate clearly in writing and asynchronously, including status, tradeoffs, and proposals for stakeholders across Engineering. Monitor the health of production systems, troubleshoot incidents, and contribute to root cause analysis. Use artificial intelligence (AI) agents and assistants to analyze issues and problem areas to help shape the team's product roadmap. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Substantial experience as a backend or tooling engineer, with a track record of owning production systems end to end. Strong proficiency in Ruby, or the ability to become productive quickly. Experience maintaining or modernizing legacy codebases safely. Comfort with CI/CD systems, application programming interfaces (APIs), and automation at scale. Independent problem-solving and clear, concise written communication: you spot problems early, raise risks proactively, and drive work to completion without close direction. Experience writing automated unit and integration tests and taking part in collaborative code review. Experience using AI coding assistants to speed up development while critically reviewing their output. Optional experience: Rails; developer productivity, engineering analytics, or internal tooling; GitLab's product and open source contribution workflow; data pipelines or metrics reporting; or agent-based workflows that run in production. About the team Development Health is part of Developer Experience. Our work is mostly internal, and our customers are GitLab team members across an engineering organization of hundreds of engineers. We're all-remote, asynchronous by default, and documentation-driven, in line with GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Основные задачи: Проектирование и развитие архитектуры frontend-приложений.

Location: Italy Regulatory CMC Technical Lead Consultant Job Description: Maintain or create CMC regulatory documents for the dedicated product(s) to support a broad range of submissions to Regulatory Authorities. Manage CMC regulatory documents for the dedicated product(s) in close collaboration with the Core team, with full responsibility and no need of supervision. Act as the CMC representative at core team level with a global role, where required. Author and/or review CMC sections of the dedicated portfolio for new marketing authorization applications, investigational applications and variations/ supplements, worldwide. Advise to multidisciplinary project teams on regulatory agency requirements and expectations on CMC sections of submission dossier. Review and assess change control requests pertaining to CMC aspects of product(s). In alignment with CMC functions, agree on the regulatory strategy for the products life cycle and development. Maintain submission information according to the document management system, track regulatory CMC commitments & timelines for specific projects/products/markets with minimal supervision. Work collaboratively with external CMOs and cross-functional teams on projects like process optimizations, scale up and technology transfer activities. In agreement with CMC functions and collaborating with region functions, negotiate with regulatory agencies strategies and actions on CMC sections of submission dossier. Support the development of processes and to the preparation of Standard Operating Procedures where required. Support due diligence activities on CMC regulatory documents, where required. Represent during GMP inspections by regulatory agencies, where required. Maintain sound knowledge of regulations, policies/guidelines, and keep abreast with current and evolving regulatory CMC requirements. Requirements: Minimum of a bachelor’s degree in a Scientific or Technical Discipline. Minimum of 5 years of experience in Regulatory CMC focusing on small molecule drug development. Additional experience with biologics and Antibody-Drug Conjugates (ADCs) is highly desirable and considered a strong advantage. Advanced knowledge of current global CMC regulations, including ICH requirements and US/EU regulatory requirements. Sound knowledge of manufacturing technical transfer and comparability regulatory requirements. Experience in authoring technical documents, CTD M2 and M3 sections, and life cycle management of quality variations. Proficient in the use of quality management software (e.g. TrackWise) and regulatory document information management system. Strong attention to detail. Ability to multi-task, stay organized and prioritize. Strong communication skills (oral, written and interpersonal); critical thinking and the ability to identify and recommend solutions to problems. Ability to work independently and in a group setting and thrive in a fast-paced environment. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. We are on a mission to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Join our passionate team and make a meaningful impact on global healthcare! Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives to all personnel the clear tools needed to manage both internal and client processes with the same methodology.  The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-PB1 #LI-Remote

Lead the design, development, and deployment of scalable software applications according to the Service Level Agreement (SLA).

Location: Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Support Engineering at GitLab believes that healthy teams deliver a healthy customer experience, and that command during a crisis shouldn't fall to whoever happens to be senior and available. GitLab's global Incident & Escalation Management (IM/EM) function coordinates critical incidents, complex multi-team engagements, and executive-level escalations for enterprise customers. As Escalation Manager, you'll own complex, executive, and commercial escalations where customer trust and the relationship are at stake, alongside or independently of a technical issue. In this functional role, you'll advocate for customers inside GitLab, coordinate teams toward resolution, and lead relationship repair after the event. What you'll do Own complex, executive, and commercial escalations end-to-end, as defined in GitLab's IM/EM engagement model. Advocate for customers internally and coordinate Engineering, Support, Product, Customer Success, and Sales toward resolution, tracking commitments and holding owning teams accountable to agreed dates and deliverables. Maintain a written, customer-facing resolution plan from engagement through confirmed resolution, updating it at each communication milestone. Coordinate with Incident Managers during concurrent technical incidents to maintain a single, coherent narrative for the customer. Own external escalation communications using GitLab's approved templates and cadence, and represent GitLab in high-stakes customer conversations where clarity and ownership influence retention. Engage Sales, Customer Success, and executive stakeholders as needed, including executive-to-executive communication for Severity 1 and 2 events. Brief GitLab leadership with concise summaries that distinguish what's known, what's unknown, and next steps. Lead post-escalation reviews and relationship repair plans, contribute corrective actions with named owners and due dates to postmortems, and hand the relationship back to the account's Customer Success Manager at resolution. Partner with the Head of IM/EM to develop playbooks, communication templates, and process improvements based on patterns from escalations. What you'll bring Experience in enterprise technical support, customer success, or incident and escalation management at a business-to-business software-as-a-service or enterprise software company. A track record of owning complex, multi-stakeholder escalations end-to-end, including executive customer engagements and structured resolution or account plans. Executive-level written and verbal communication skills, with the ability to translate technical detail into plain-language updates for customers and GitLab leadership. The ability to coordinate Engineering, Support, Product, Customer Success, and Sales under pressure without formal authority over those teams. Calm, structured decision-making with incomplete information and the ability to provide a steadying presence in high-stress customer situations. Proficiency with support and coordination tools such as Zendesk, Salesforce, Slack, and PagerDuty, or equivalent platforms. Availability for on-call coverage supporting executive escalations as part of a globally distributed team. Nice to have: Information Technology Infrastructure Library (ITIL) Foundation or equivalent certification; customer-facing experience with GitLab, development, security, and operations (DevSecOps), continuous integration and continuous delivery (CI/CD), or cloud-native products; experience with formal escalation or incident command frameworks; or AI-assisted support tools for triage, sentiment analysis, or resolution drafting. About the team The Incident & Escalation Management function sits within Support Engineering in GitLab's Enterprise Technology & AI (ETA) division. We operate a follow-the-sun model anchored in the Americas, Europe, the Middle East and Africa, and Asia-Pacific, providing year-round, 24-hour coverage for enterprise customers. Our Escalation Managers work globally rather than within a single region, partnering with Incident Managers, Communications Leads, and regional Support Engineering leadership. You'll help shape our playbooks, templates, and standards as we scale. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Lithuania; Bosnia & Herzogovina; Estonia; Spain; North Macedonia; Serbia; Slovakia; Malta; Moldova; Montenegro; Portugal; Italy; Latvia; Albania; United Kingdom; Czech Republic; Greece; Cyprus; Netherlands; Kosovo; Malaysia; Yerevan; Bulgaria; Slovenia; Romania; Poland; Bosnia and Herzegovina; Turkey; Czechia; Georgia; Croatia; South Africa Workplace: Remote [https://app.ashbyhq.com/api/images/user-content/b540b9e2-0673-4d2d-91fd-e293658f4f6a/d5db35d1-81f0-4140-b61c-f3fb1004c7d1/job%20ad%20visual.png] Please be informed that Foxelli Group hires exclusively in-house and doesn't work with any external recruitment agencies. Any company or individual claiming to recruit on behalf of Foxelli Group is not affiliated with us. At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them. If you love to learn, experiment, think boldly, make decisions, and build things that matter -you’ll feel at home with us. THE ROLE We’re on the hunt for a Marketing Manager who can think big, move fast, and actually make things happen. This is not a “just run ads and wait” role. You will coordinate all the marketing initiatives, create new marketing angles, offers, and landing pages, manage the creative department, and brief Facebook ads. This is a full-stack marketing playground where you own projects from the first spark of an idea to seeing real sales roll in. You’ll be the glue between marketing, design, and development - turning customer insights into landing pages, funnels, and campaigns that people actually want to click, read, and buy from. If you love: - mixing strategy with execution - testing ideas - improving funnels - and making pretty things convert …and you’ve played with AI tools to move faster, build smarter, or test better ideas, you might be our person 👀 🚀 WHAT YOU’LL BE DOING 🧠 STRATEGY & GROWTH STUFF - Build and run marketing strategies that support real business goals (not just vibes). - Dig into customer research and market trends to find new growth opportunities. - Analyze what’s working (and what’s not) and turn data into smart next steps. - Come up with fresh ideas to scale our funnels and campaigns. - Manage marketing projects from idea → launch → improvement. ✍️ CREATIVE & CONTENT MAGIC - Write copy for ads, landing pages, and funnels that sounds human and sells. - Review design work and give feedback so it looks on-brand and converts. - Guide the creation and optimization of ad creatives with our design team. 🌐 LANDING PAGES & WEBSITE OPTIMIZATION - QA landing pages like a detective: checking UX, flow, and functionality. - Run A/B tests to improve conversion rates. - Work closely with developers to roll out website updates and improvements. 🤝 TEAM GLUE (CROSS-FUNCTIONAL HERO) - Be the bridge between marketing, design, and development. - Create clear briefs so everyone knows what to build and why. - Track project progress and keep stakeholders in the loop. 🔍 CUSTOMER RESEARCH & INSIGHTS - Collect and analyze customer feedback and data. - Identify pain points and opportunities for improvement. - Use insights to scale sales and improve acquisition. 🤖 AI TOOLS & SMARTER EXECUTION - Bring AI into our workflow as a competitive edge. Use GPT, image/video generators, and automation platforms to compress timelines, run more experiments, and beat our own ideas. 🧩 WHAT YOU BRING You’re probably someone who: - Has experience as a Marketing Manager or full-stack marketer in e-commerce. - Have hands-on experience building with AI tools - vibe coding, workflow automations, etc. - Understands digital marketing and performance marketing deeply. - Can write clear, persuasive, not-boring copy. - Knows CRO and website optimization. - Loves looking at data and asking: “What actually sells?” - Is organized and good at managing projects. - Has worked with designers and developers before. - Can manage your own time and work remotely. - Cares about customers and research. - Gets excited about e-commerce growth. ✨ BONUS POINTS IF YOU: - Have used marketing automation tools. - Know your way around heatmaps, ad managers, and analytics tools. - Enjoy experimenting, testing, and improving things nonstop. 🦊 WHY FOXELLI? We’re not into boring corporate marketing. We like: - smart ideas - quirky personality - strong execution - and people who take ownership You’ll have space to think, test, build, and grow with us - and actually see the impact of your work. THE RECRUITMENT PROCESS Apply - A simple form that helps us know who’s stepping into our world. Ribbon AI Interview - Ribbon is a short, guided video step that helps us understand your thinking style in a calm, private space. Interview -A conversation with your manager to feel the work chemistry, get to know each other, and explore what we could build together. FIXED SERVICE FEE €2,000 - €2,800 after taxes, depending on your skills, competencies, and experience. ❕Please note that this role is based on a contract/freelance agreement. PERKS & BENEFITS - Full flexibility with your schedule in a fully remote setting, while Hubstaff ensures transparency and fairness. - Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check. - A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously. - Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested. - A budget for your home office setup so you’re comfortable working how you like and where you like. - Strong company culture and a network of unique individuals that celebrate you. ELIGIBILITY & LOCATION REQUIREMENTS ❕This role is 100% remote. - Our tribe works primarily in the Eastern European Time Zone (EET — UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported. - For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours — it keeps collaboration smooth and communication easy. (This doesn’t apply to part-time roles.) Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.

Position Description As an Engineering Manager at Sonar, you will lead a squad of 8 developers to build, automate and operate software used by millions of Sonar customers worldwide. What you will do Lead and manage a team of Engineers, providing guidance, support, and mentorship to help individuals grow in autonomy and contribute to the team's success.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Platform Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API. We own the capabilities that shape what Claude can do for developers: tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and the memory, files, and skills APIs. We also run the API side of every Claude model launch, including its safety features and controls. That means getting the API ready for each new model, coordinating with research, safeguards, product, and cloud partners, and making sure the model, its features, the SDKs, and the docs all ship together on launch day. The work sits where research meets product. We work with new models before they are public. When a model gains a new ability, we work out what it should look like as an API, build it, and ship it to developers on our own platform and on cloud platforms. Those decisions shape how developers first use each model. We also own API versioning and the evals that tell us a capability works in production. What you'll do You'll lead the design, build, and operation of API capabilities used by developers around the world. You'll work with research to understand what a new model can do and turn that into an interface that is simple, durable, and hard to misuse. You'll lead the API side of new model launches. You'll plan the work, track readiness across teams, resolve the issues that come up late, and see the launch through on the day. Between launches, you'll make the next one faster and safer. You'll set technical direction for work that spans several teams, write clear design proposals, review API designs from other teams, and mentor engineers on the team. Representative projects Lead API readiness for a Claude model launch, so that every feature works on day one across our API, SDKs, docs, and cloud partners Take a new model ability from research prototype to public API feature, from interface design to production rollout Build and operate tools such as web search and code execution under real traffic Automate the manual parts of a model launch Build the evals that catch a capability regression before a launch You might be a good fit if you: Have led technical projects that spanned several teams, from design through launch and operation Have designed and operated production distributed systems where correctness, latency, and availability all matter Have strong product sense and care about API design and developer experience Make sound technical decisions with incomplete information, as models and priorities change close to a launch Explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers Make the engineers around you better through design review and mentoring Use AI tools as a regular part of how you design, build, and review software Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI Strong candidates may also have: Building public APIs, SDKs, or developer platforms Working with large language models, including tool use, agents, or evals Running launches or migrations with fixed deadlines and many dependent teams Building tools for agents, such as search or code execution Storage, memory, or context systems at scale Integrating with cloud platforms such as AWS, Google Cloud, and Azure Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Claude Partner Network is how consulting firms, systems integrators, and other services partners build practices around Claude. When a company chooses a partner, it wants to know which firms have done this work well, in its industry and for its use case. Specializations are how the program will give it: credentials showing that a partner has demonstrated expertise in a given domain area. As Partner Specializations Lead, you'll own this program end to end: the requirements a firm has to meet, the evidence review that decides who qualifies, the benefits that make a specialization worth earning, and the operating rhythm that keeps it credible year after year. Your job is to take an early framework into a structure that scales: opening it to thousands of partners, running evaluation cycles, and launching new specializations with cross-functional input. This role suits someone who likes owning a standard. You'll work with partner managers, operations, enablement, marketing, and industry teams who each hold a piece of the program, and with senior leaders at partner firms who care a great deal about the outcome. A specialization only means something if it's earned, so you'll need to be rigorous with evidence, consistent in your decisions, and firm and clear when the answer is no. Key responsibilities Own each specialization's requirements, evidence standards, and benefits, and keep them current as our products and the partner network change Run each evaluation cycle from invitation to decision: collect partner evidence, reconcile it against internal data, lead the review, and document every decision Make and defend qualification decisions, including borderline cases, and apply the standard consistently across firms of very different sizes Communicate outcomes to partner executives and their Anthropic account teams, including clear guidance for firms that did not qualify Open the program to the wider partner network, and recommend which specializations come next based on customer demand, partner readiness, and Anthropic's priorities Define the evidence standard for new specializations with Applied AI, Product, and industry go-to-market teams Coordinate the teams that deliver the program's benefits (marketing, the partner directory, field enablement, technical support) so that earning a specialization leads to something real Work with Partner Enablement so that partner learning paths and certifications support each specialization Build the operating rhythm: renewal, remediation periods, an appeals path, and the tracking and reporting that show whether the program is working Design the review process to scale, using Claude and automation so that routine steps don't depend on a person Write and maintain partner-facing guidance (program guide sections, FAQs, application materials), clear enough for a partner to know where it stands without asking us, and internal guidance for field teams Use program data to recommend where each requirement's bar should sit and when it should move, and bring those recommendations to partner leadership Minimum qualifications Experience owning an external-facing program with published requirements (a partner, channel, certification, accreditation, or similar program), including running at least one full evaluation, qualification, or renewal cycle Experience making qualification or eligibility decisions against a written standard and communicating those decisions, including declines, to senior external stakeholders Experience working with CRM or PRM data, such as Salesforce reports or a partner portal, as a regular part of your job Strong writing: able to produce clear program requirements, decision memos, and partner-facing guidance that need little editing Experience leading work to a fixed date across several teams you do not manage, such as operations, marketing, enablement, and field teams Work effectively where the process is still being built and the details are still changing Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience designing or running a partner competency, specialization, or credential program at a technology company Experience with services partners (systems integrators, consultancies) from either side: managing them at a vendor, or building a practice around a vendor's technology at a firm, and an understanding of how those firms decide where to invest their people SQL or BI-tool skills sufficient to pull and check your own program data Experience taking a program from its first launch to a repeatable operating cycle Experience launching a program publicly with marketing and communications partners Enough technical depth to judge whether a partner's evidence of a software or AI deployment holds up Experience working with customers in regulated or specialized industries, such as financial services, healthcare, or the public sector Experience designing partner benefits or incentives, and an understanding of how they change partner behavior Hands-on experience building AI workflows with Claude or similar tools, and curiosity about how AI changes professional services delivery The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Chicago Workplace: Remote Coder is looking for an Enterprise Account Manager to grow our diverse customer base. You’ll help bring Coder’s platform to some of the largest companies in the world, who are focused on executing AI-centric software development at scale. This role is about building trusted relationships, shaping deals, and making sure enterprise customers clearly see the value we deliver. Day to day, you will manage the full sales cycle, from sourcing opportunities to closing contracts. You’ll work side by side with engineers, buyers, and internal partners to remove friction and move complex deals forward.   What you’ll do here - Build and close a strong pipeline of enterprise accounts with large engineering organizations - Generate qualified opportunities through outbound prospecting and inbound leads - Lead compelling demos that differentiate Coder, and communicate our value with clarity and conviction - Collaborate with Sales Engineers to deliver a thorough technical evaluation - Partner with decision-makers and technical stakeholders throughout the sales cycle - Travel as needed to support deals and customer relationships   What we’re looking for - 5+ years of enterprise software sales, 3+ years selling into Fortune 500 / Global 2000 - A record of closing complex, multi-stakeholder deals with long cycles and security/procurement reviews - Fluency in DevOps, CI/CD, Kubernetes, cloud, platform engineering, and developer tools. Enough to run a credible first demo and talk with engineers as a peer. - Experience selling to technical buyers (engineering, platform, security leaders) and economic buyers - Strong at outbound and pipeline building, not reliant on inbound - Works well with Sales Engineers on technical evaluations and pilots - Can build an ROI/risk business case and connect it to an executive initiative - Consistently exceeds quota - Ability to travel up to 15%   Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Has sold developer platforms, DevSecOps, CNCF/cloud-native, or infrastructure software - Hands-on with AI coding tools (Copilot, Cursor, Claude, etc.) and can talk credibly about where agentic development is heading - Has sold into regulated industries (FS, public sector, healthcare) where compliance and data residency matter - Open source experience, or comfort with product-led, community-driven adoption - Technical background or engineering-adjacent career start ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Canada About Improvado Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT. What we sell: extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA. Who buys it: Economic buyers: CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership Technical evaluators: VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security Segments: enterprise brands, mid-market, agencies Verticals: pharma and healthcare, financial services, retail and eCommerce, gaming, agencies Why this role, now Our messaging is not aligned. Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price. The category is crowded and moving fast. Battlecards exist but decay, and nobody owns keeping them true. Attribution, incrementality and causal measurement is where deals are won and lost — and it is the hardest thing to argue credibly without hand-waving. Analyst firms are a silent blocker. When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them. You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it. What you'll own Positioning and messaging. Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it. Competitive intelligence and win/loss. A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning. Sales enablement. The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays. Market and analyst relations. The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization. What we're looking for 4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product. Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak. B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile. Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter. Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking. Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback. Nice to have: hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming. Not a fit if: your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work. How we measure success Win rate in competitive deals against our top 3 named competitors, baseline set in month 1. Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal. Time-to-first-deal for new reps. Field adoption of enablement assets — measured, not assumed. Win/loss program running on cadence, with themes that visibly change product and GTM decisions. Message consistency: a quarterly audit across web, deck, product UI and content. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys. The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications. The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function. This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems. What You’ll Be Doing Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks. Assess model conceptual soundness, intended use, assumptions, and limitations. Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review. Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise. Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions. Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure. Build and continuously mature the fraud model validation capability, standards, and workflows within MRM. What We Look For In You Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience. 10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems. Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners. Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks. Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations. Nice to Haves Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist. Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications. Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,000 - $300,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking a Model Risk Director focused on Fraud and AI to join OKX’s Model Risk Management (MRM) function. As a senior member of the second line of defense (2LOD), this leader will provide independent oversight and effective challenge of fraud models used to detect, prevent, and manage fraud risk across OKX’s products and customer journeys. The role will lead end-to-end validation of fraud models, from conceptual soundness, data and implementation review to outcomes analysis, performance monitoring, and remediation follow-up. The portfolio may include supervised machine learning models, anomaly detection, graph and network analytics, rules-based or hybrid systems, and AI-enabled fraud applications. The ideal candidate brings deep hands-on experience in fraud model validation, strong quantitative judgment, and practical experience assessing AI/ML models. This person will partner closely with Fraud, Risk, Product, Data Science, Engineering, Compliance, and Audit teams while maintaining the independence of the MRM function. This is a hands-on, builder role: the successful candidate will independently establish the fraud model validation capability from the ground up, personally execute validations, and play a leading role in assessing AI-enabled systems. What You’ll Be Doing Establish and own the independent validation framework for fraud models and AI-enabled decision systems across OKX products, covering conceptual soundness, data quality, implementation, and outcomes analysis, in line with SR 26-2 and equivalent model risk frameworks. Assess model conceptual soundness, intended use, assumptions, and limitations. Personally execute end-to-end model validations as the technical expert, including independently reproducing results through hands-on data analysis and code review. Assess AI/ML and generative AI applications, including LLM-based and agentic systems, for robustness, reliability, explainability, and appropriate human oversight, applying strong applied AI evaluation expertise. Perform ongoing monitoring review and periodic revalidation to ensure sustained model performance through changing fraud patterns and business conditions. Provide effective challenge to model owners; communicate conclusions, limitations, and risk ratings clearly to senior management and governance forums, and track remediation through closure. Build and continuously mature the fraud model validation capability, standards, and workflows within MRM. What We Look For In You Master’s or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, or equivalent experience. 10+ years of quantitative, fraud risk, or model risk experience, with a recognized track record as a hands-on technical expert who personally delivers independent validations of models and decision systems. Excellent communication and judgment, including the ability to explain quantitative findings to senior audiences and constructively challenge model owners. Practical experience with statistical and machine learning methods; proficiency in Python and SQL; working knowledge of SR 11-7 or equivalent model risk and AI governance frameworks. Experience with AI/ML governance and controls, including explainability, fairness, robustness, ongoing monitoring, or generative and agentic AI applications in fraud operations. Nice to Haves Experience establishing validation frameworks, methodologies, or capabilities in settings where they did not previously exist. Strong applied AI capability: hands-on experience evaluating or building ML/LLM-based systems in production, including prompt engineering, evaluation harnesses, fine-tuning assessment, or agentic AI workflows; able to run red-team style testing on AI applications. Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,000 - $300,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .