Вакансии

Location: Mexico City SOLUTIONS ARCHITECT | LATAM Our Solutions Architecture team connects business priorities with practical technical solutions, helping customers understand how Chainalysis can support their most important objectives. In this role, you will provide technical leadership throughout the customer journey. You will turn complex requirements into clear recommendations, help customers envision how our products fit into their operating environment, and guide them toward measurable business outcomes. As a Solutions Architect, you'll develop a deep understanding of Chainalysis solutions and the problems our customers are trying to solve. You'll explain complex concepts in a clear, compelling way to technical practitioners, business leaders, and executive stakeholders. You'll also build practical, customer-specific solutions that support deployment, integration, adoption, and long-term value. In this role, you'll: - Serve as a core member of the account team, partnering closely with Sales, Services, Customer Success, Product, and Engineering. - Take ownership of customer outcomes across the full lifecycle, from initial discovery and solution design through investigation support, compliance program delivery, deployment, enablement, adoption, and expansion. - Lead discovery conversations that uncover customer objectives, operational pain points, use cases, technical constraints, and success criteria. - Translate business and operational needs into clear technical requirements, solution designs, and implementation paths. - Articulate Chainalysis capabilities in a way that is relevant to each customer's compliance, risk, fraud, investigations, or security environment. - Create tailored demonstrations, proof-of-value experiences, and technical narratives that show how Chainalysis can address customer priorities. - Conduct blockchain investigations, deliver compliance and regulatory guidance, and build technical solutions such as notebooks, dashboards, automation workflows, data integrations, reference architectures, and agentic workflows. - Develop AI-assisted workflows that accelerate and automate investigations, analysis, and customer processes, adapted to each customer's operating model, data, controls, and risk framework. - Design automation that fits into existing compliance, risk, fraud, investigations, or security operations rather than requiring customers to redesign how they work. - Help customers access and operationalize Chainalysis data through APIs, integrations, and fit-for-purpose technical patterns. - Provide guidance on solution architecture, API implementation, workflow design, data movement, and integration considerations. - Drive platform adoption by connecting customer workflows to Chainalysis capabilities and identifying new use cases. - Identify creative, responsible approaches to difficult customer problems, while balancing speed, scalability, security, maintainability, and measurable impact. - Build trust through sound technical judgment, clear communication, reliable execution, and a strong understanding of the customer's business. - Assemble the technical evidence base, including outcome data, consumption metrics, adoption analysis, and expansion signals, that supports quarterly impact reporting and renewal conversations. - Build customer capability and self-sufficiency rather than creating ongoing dependence on the Solutions Architecture team. - Own the feedback loop between customers and Product/Engineering, translating field insights and feature requirements into product improvements and bringing those improvements back to customers. - Act as a trusted advisor to customers, meeting them at their current level of crypto-maturity and partnering with them to advance their understanding, processes, and outcomes. - Represent Chainalysis at customer meetings, industry events, and conferences. - Contribute to the wider Solutions Architecture team through reusable assets, knowledge sharing, internal initiatives, and better ways of working. We're looking for candidates who have: - Several years of experience in one or more relevant areas, such as financial services, compliance, investigations, fraud, cybersecurity, digital assets, transaction monitoring, sales engineering, solutions architecture, or enterprise product management. - Experience making complex technical or operational concepts understandable to different audiences. - Strong storytelling, presentation, and written communication skills, with the ability to engage both technical teams and executive stakeholders. - A creative, structured, and investigative approach to solving challenging customer problems. - Comfort working with technical tools and learning new technologies quickly. Experience with Python or another programming language, SQL, data analysis, notebooks, workflow automation, APIs, integrations, or AI tools is valuable. - The curiosity and initiative to develop technical depth over time; you do not need to arrive with a complete technical stack, but you should enjoy investigating how things work and building the skills to solve new problems. - The ability to operate effectively when requirements are ambiguous, information is incomplete, or the best path forward has not yet been defined. - A collaborative, generous approach to working with others, including a willingness to share knowledge, seek input, and improve team practices. - A demonstrated focus on measurable customer outcomes, not simply technical activity or product usage. - An interest in blockchain and a desire to keep building your understanding of the technology, the market, and the customers we serve. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Дивизион "Моделирование и исследование данных" отвечает за компетенцию Data Science в Блоке Сеть Продаж. Мы разрабатываем и внедряем end-to-end решения на основе AI в бизнес-процессы Сети Продаж Банка. Ищем человека, вместе с которым мы будем строить топовые AI решения, на основе архитектуры Claw-like & Ouroboros, которые будут в действительности приводить к Disrupt в реальных процессах. Задачи: • разрабатывать с нуля AI-агентов и микросервисы для AI-продуктов • исследовать и внедрять новейшие технологические решения в ИИ - Claw-like & Ouroboros • разрабатывать и дообучать модели машинного обучения (Classic ML, Deep Learning) • разрабатывать алгоритмы взаимодействия ML-моделей и сервисных модулей • принимать участие в разработке архитектуры и дизайна агентов и AI-сервисов • проектировать и разрабатывать backend-части AI-сервиса • принимать участие в оптимизации скорости работы AI-агентов и ML-моделей. Мы ожидаем: • законченное высшее образование • компетенции: Python, Classic ML, Deep Learning, LLM/Agents, MLOps • понимание принципов разработки, внедрения и сопровождения AI-решений • уметь писать хороший и понятный production-ready код на Python, хорошее знание алгоритмов, структур данных • опыт работы с реляционными и нереляционными базами данных • навыки работы с генеративными AI-моделями, опыт создания AI-агентов и использование их в работе будет преимуществом • опыт использования GigaChat, Kandinsky и аналогов в продуктах • инструментальное владение Ai для анализа, генерации и автоматизации • опыт построения отказоустойчивых высоконагруженных распределенных ML систем. Мы готовы предлагать: • график 5/2, офис на м. Кутузовская; • режим работы на выбор - офис или гибрид • достойный уровень вознаграждения (оклад + годовая премия) • возможность стать частью команды, реализующей программы цифровой трансформации банка - на основе передового опыта и инновационных идей • широкие возможности для профессионального развития: корпоративный университет и множество онлайн-программ обучения. Корпоративное обучение за счет компании • бесплатная подписка СберПрайм+, многочисленные скидки и бонусы от партнеров: СберМаркет, МегаМаркет, Самокат, Еаптека и др.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Security Scientist, you will leverage your data analysis skills and help identify and drive impactful projects to improve the safety and security of Figma's product, platform, and our IT systems. The mission of the Figma Security team is to help Figmates ship the most secure and safe product to our users. We are looking for security scientists with a strong grasp of security and anti-abuse fundamentals. You will partner closely with teams in Security Engineering as well as teams across the company to focus on systemic security and safety improvements and risk reduction. You will also apply your security expertise and analytical skills to support and participate in security design reviews and consulting, incident response, and risk management. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Collaborate cross-functionally across the company to understand existing security and anti-abuse problems and work with engineering, product, data science, and other teams on solutions Understand attacker and user behavior on the Figma platform and inside Figma through creation of new datasets, metrics, experimentation, etc., and guide strategy and decision making Build detections, tune signal quality, and measure coverage across Figma's products, platforms, and internal systems, turning attacker behavior into durable, data-driven detections Lead and support security investigations, developing the datasets, tooling, and analysis that help us scope incidents, understand root cause, and reduce time to detect and respond Translate threat intelligence into action, operationalizing intel on relevant threat actors and techniques to prioritize detection coverage, harden high-risk surfaces, and guide security strategy Conduct investigations and design reviews to identify current and new attack vectors against Figma products and services Advocate for security and secure practices throughout Figma We'd love to hear from you if you have: Strong understanding of real-world security, anti-abuse, and detection and response challenges Fluency in SQL, with proficiency in Python, R, or a similar scripting language Experience working with distributed data processing systems and frameworks such as Hive, Redshift, Presto, Snowflake, or Spark Strong knowledge of statistical methods and experimental design Excellent judgment and creative problem-solving skills While it's not required, it's an added plus if you also have: A self-starting mindset along with strong communication and collaboration skills At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $348,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA 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 Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond. We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent. Responsibilities: Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently Have implemented A/B testing frameworks and experimentation infrastructure for ML systems Are results-oriented, with a bias towards reliability and impact in safety-critical systems Enjoy collaborating with researchers and translating cutting-edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may also have experience with: Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Working with large language models and modern transformer architectures Developing monitoring and alerting systems for ML model performance and data drift Experience in trust & safety, fraud prevention, or content moderation domains Knowledge of privacy-preserving ML techniques and compliance requirements 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: $320,000 — $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. 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: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an execution-focused and visionary Data Engineering Manager to lead our Data Platform Team. In this critical role, you will manage a team of talented engineers dedicated to building the common, reusable abstractions and high-throughput data infrastructure that power Garner’s internal and external applications. You will champion an AI-native development philosophy and scale our data pipeline capabilities, ensuring our systems seamlessly support the heavy computational demands of our next phase of company-wide growth. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Lead and manage the Data Platform Engineering team, owning the end-to-end design, implementation, and operational excellence of systems that process complex healthcare data Provide high-quality technical contributions and architectural guidance, establishing robust standards for data modeling, processing, and system maintainability Build and optimize common data abstractions, pipelines, and frameworks designed for high scalability, ensuring our platform keeps pace with exponential enterprise data growth Translate complex, ambiguous business and data requirements into well-scoped, accurately estimated, and composable architectural pieces Foster and drive an AI-native engineering culture within the team, integrating cutting-edge AI tools and integrations to enhance development workflows and automate data operations Manage and grow stakeholder relationships across Engineering and Product, aligning team priorities with departmental OKRs and broader business goals Mentor, coach, and guide your team members, conducting detailed design reviews and managing robust Root Cause Analyses (RCA) to continuously elevate technical rigor The ideal candidate has: 5+ years of hands-on engineering experience, with a focus on Big Data and distributed system and infrastructure 2+ years of managing engineering teams, with a track record of building and mentoring high performing teams Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc. Experience with stream processing systems such as Kafka and RedPanda Proficiency with technologies such as Temporal, Apache iceberg, AWS glue, Spark, DBT, and Soda Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success Preference for managing healthcare data standards (e.g. HIPAA, EDI) A desire to be a part of our mission to improve the U.S. healthcare system A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, Spark, dbt, SnowFlake, Iceberg, Airflow, OpenMetadata, Kubernetes, NATS, AWS, Terraform, Claude Code This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $310,000 - $385,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Staff Machine Learning Operations Engineer to join our Platform Engineering team . This role will report to the VP of Platform Engineering . As Garner's foundational dedicated MLOps Engineer, you will assume responsibility for the reliability, performance, and cost-efficiency of our production machine learning systems. You will lead the development of a robust platform designed to facilitate the secure and consistent deployment of models by our machine learning and data science teams. Given that these models directly influence health outcomes and cost-effectiveness for millions of patients, maintaining the highest standards of production quality is imperative. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the reliability, performance, functionality, and cost-efficiency of Garner's production ML systems, including establishing SLOs, observability, and on-call responsibilities. Architect Garner's ML platform including required data infrastructure (including feature store, model registry and CI/CD for models), and standardized service patterns. Implement ML-specific CI/CD pipelines: Transition our deployment process from manual notebook hand-offs to automated, PR-driven CI/CD workflows that include automated data quality checks and statistical model validation prior to deployment. Drive down cost and latency through improved architecture, hardware choices, and model optimization as appropriate. Lay the foundation for a future Garner MLOps team, including workflows, standards, and KPIs that enables rapid teammate onboarding and helps stakeholders and teammates quickly identify the health of the team’s products, allowing engineers to focus on areas where issues reside Establish Drift Monitoring: Design and implement automated data drift and concept drift monitoring systems that alert the team when models degrade, laying the groundwork for future Continuous Training (CT) architectures The ideal candidate has: 7+ years of software engineering experience, with significant time spent operating ML or data-intensive systems in production at scale. Deep experience with the modern ML production stack: model serving (e.g., Sagemaker, Triton, or equivalent), feature stores, model registries, and CI/CD for ML. Strong infrastructure and platform engineering fundamentals: Kubernetes, containerization, cloud (AWS preferred), Terraform/IaC, observability, and incident response. Experience designing ML platforms or significant components of one (not strictly consuming SaaS) and the judgment to know when to build vs. buy. Strong collaboration with ML, data, platform engineers, data scientists, and product engineering teams, with the ability to set technical direction as the most senior MLOps voice in the org. Healthcare, regulated-data, or other high-stakes production ML experience is a plus but not required. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, Kubernetes, AWS, Sagemaker, Terraform, S3, Snowflake, Airflow, Datadog This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $298,000 - $351,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Moscow, Russia; St. Petersburg, Russia; Yerevan, Armenia; Tbilisi, Georgia; Astana, Kazakhstan; Almaty, Kazakhstan Workplace: remote At NOVACARD , we’re redefining how people use credit. We are the first interest-free and no-annual-fee credit card in Mexico, designed to simplify personal finances and give users complete control – all from a mobile app. With NOVACARD, users can access up to $200,000 MXN in credit, only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals. About the Role We are looking for a QA Automation Engineer to own the quality of key user scenarios across the stack. In this role, you will do more than write autotests — you will build a reliable automation system that covers everything from a customer action in the Flutter mobile app to data validation in APIs, message queues, and databases. You will work closely with developers, analysts, DevOps, and other QA engineers to ensure delivery speed and reliability of financial services. We expect an engineer who sees risks in a microservices architecture and prevents them with well-designed automated coverage. The role is fully remote, with occasional business trips if required. Key Responsibilities Develop, maintain, and evolve UI autotests for the Flutter mobile application (Android/iOS) using Python and Appium. Design the automation framework architecture: implement and maintain Page Object patterns, business step layers, fixtures, and environment configurations. Work with Flutter app locators: use Semantics labels and accessibility IDs, and align their implementation with mobile developers to improve test stability. Ensure autotest suite stability: diagnose and eliminate flaky tests, manage waits, and configure test isolation. Configure and maintain Allure reporting: steps, attachments such as screenshots, logs, and traffic, run history analysis, and linking autotests to test cases. Integrate autotests into CI/CD using GitLab CI: run pipelines, set up parallel runs on emulators and real devices, and maintain acceptable execution time. Analyze new functionality, participate in requirements review, and create test designs. Perform functional, integration, regression, and end-to-end testing. Test external and internal integrations, including SOAP/REST APIs, XML/JSON processing, authorization, contracts, and service interaction errors. Analyze asynchronous processes: message queues and event buses such as Kafka and RabbitMQ, consumers, retries, idempotency, and delayed effects. Identify cross-team dependencies during task definition and align them with related teams before development and testing begin. Estimate testing and automation effort, maintain and expand the regression test suite. Analyze run results, report risks, defects, and blockers in a timely manner, and prepare clear quality reporting. Automate test data preparation: use SQL scripts, internal service APIs, emulation of external system states, and mocks. Work confidently with databases: write medium-complexity SQL queries with joins and aggregations, validate data after user operations in MS SQL Server and/or PostgreSQL, and access databases from autotest code. Investigate logs and metrics in monitoring systems such as Kibana, OpenSearch, and Grafana, and trace requests across services using correlation or trace IDs. Diagnose autotest failures: identify root causes using device logs, traffic, and service logs, and file defects in the tracking system. Key Requirements 2+ years of experience in mobile UI test automation. 5+ years of experience testing microservice-based applications. 2+ years of experience testing external integrations. Strong Python skills: OOP, working with libraries, reading and refactoring code, writing utilities and helpers. Hands-on experience with pytest: fixtures, parametrization, markers, conftest, and plugins. Practical experience with Appium. Experience automating Flutter applications or readiness to quickly learn Flutter-specific automation. Knowledge of Git and experience integrating autotests into CI/CD. Experience in functional testing of Android and iOS mobile applications. Excellent knowledge of testing theory and test-design techniques. Strong understanding of SOAP/REST API testing, XML/JSON, HTTP response codes, contract schemas, session-based and token-based authentication; experience automating API calls in Python using requests or similar libraries. Confident SQL skills: ability to independently write medium-complexity queries, read database schemas, and validate data in MS SQL Server and/or PostgreSQL. Understanding of asynchronous service communication: Kafka, RabbitMQ, or similar brokers, consumers, idempotency, retry mechanisms, and delayed event processing. Experience with logging and monitoring systems such as Kibana, OpenSearch, Grafana, or similar tools. Ability to independently prepare test data using SQL scripts, internal or service APIs, and emulation of external system states. Fluent Russian and English at B1+ level, sufficient for technical documentation and an international team. Experience developing in Dart or reading Flutter app code to understand widget structure and add Semantics keys. Nice to Have Experience with device farms such as BrowserStack, Sauce Labs, or local device farms, Appium Grid, and parallel execution on device pools. Experience developing in Dart or reading Flutter app code to understand widget structure and add Semantics keys Experience with Charles, Fiddler, Swagger, Postman, and SOAP UI, including proxying and mocking responses on devices. Experience automating the API layer as a separate suite, as well as basic Postman automation and running collections via Newman. Experience with visual testing and screenshot-based tests. Experience in fintech or banking products: card processing, credit products, tariffs, fees, limits, card statuses, and card lifecycle management. Experience testing BPMS processes and workflow engines such as Camunda. Understanding of financial application security requirements: personal data handling, OTP flows, session management, and basic PCI DSS principles. Experience setting up test infrastructure: Docker, running emulators in CI, and build caching. Experience estimating testing tasks and working with QA quality metrics such as DDE, defect density, test coverage, autotest stability, and execution time. What We Offer Fully remote work format. Official employment in accordance with the Russian Labor Code for residents of Russia; contractor collaboration for candidates from other countries. Opportunity to work in an international team on an innovative digital credit product for the Mexican market. A product-focused, data-driven environment where quality directly influences the financial experience of thousands of users. The chance to work on complex mobile, backend, and integration scenarios in a rapidly growing fintech company.

Location: London, United Kingdom WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE As a Manager of Forward Deployed Engineering on Notion’s Services team, you will lead a team responsible for the hands-on technical delivery of our most complex customer engagements. Your team will design, build, and deploy production-ready solutions that help enterprise customers integrate Notion as the operating layer for their business. You will combine people leadership, technical judgment, and customer-facing delivery. You will coach Forward Deployed Engineers through discovery, architecture, implementation, and launch while remaining close enough to the work to guide difficult technical decisions, unblock delivery, and build trust with senior customer stakeholders. The team’s work includes custom code, production-grade agents and AI workflows using MCP, Agent APIs, and Notion’s automation and execution infrastructure, as well as integrations, data pipelines, enterprise migrations, and complex challenges involving scale, permissions, and governance. You will help establish how Services delivers complex technical implementations across EMEA. This includes building a high-performing team, improving delivery standards and reusable technical assets, partnering with Sales, Product, CX, and Engineering, and turning lessons from customer deployments into product and platform improvements. WHAT YOU'LL ACHIEVE - Lead, coach, and develop a team of Forward Deployed Engineers delivering complex enterprise customer engagements across EMEA. - Create a high-performance team environment with clear expectations, strong technical standards, effective feedback, and meaningful career development. - Own the quality and outcomes of engagements from technical discovery and requirements gathering through solution design, implementation, launch, and handover. - Act as a trusted technical and delivery advisor to customer engineering, IT, security, and business leaders, helping them make informed architectural decisions and deepen their use of Notion. - Guide the design, build, and operation of custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows. - Oversee large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, cutover, and post-migration optimization. - Review technical designs and implementation plans, identify delivery risks early, and step in directly when an engagement requires senior technical leadership. - Partner with Sales and Services leaders on qualification, feasibility, scoping, effort estimation, staffing, and delivery planning for strategic opportunities. - Balance customer priorities, team capacity, and technical complexity to make sound staffing and sequencing decisions. - Help define and scale the operating model for Forward Deployed Engineering, including hiring, onboarding, delivery methodologies, quality reviews, documentation, and engineering best practices. SKILLS YOU'LL NEED TO BRING - 8+ years of experience in forward deployed engineering, solutions engineering, professional services, customer engineering, software engineering, or a similar hands-on technical role. - 2+ years of experience managing, coaching, or leading engineers responsible for customer-facing technical delivery. - A strong track record of hiring, developing, and retaining high-performing technical teams. - Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python, with the technical depth to review production-quality code and guide implementation decisions. - Hands-on experience with APIs, integrations, authentication, data transformation, and production systems. - Experience leading technical discovery, assessing feasibility, identifying risks, scoping work, estimating effort, and translating ambiguous requirements into executable plans. - Strong architectural judgment and debugging skills, with the ability to isolate root causes across code, APIs, permissions, integrations, data quality, automation logic, system limits, and customer-specific environments. - Demonstrated success managing multiple complex customer engagements while maintaining quality, team health, and clear stakeholder communication. - Strong written and verbal communication skills, with the ability to influence technical and business audiences from practitioners through executive stakeholders. - A customer- and outcomes-oriented approach, with sound judgment about when to standardize, when to customize, and how to manage tradeoffs. NICE TO HAVES - Experience building or scaling a Forward Deployed Engineering, professional services, or customer engineering function in a startup or high-growth environment. - Experience deploying AI agents in complex coding or business workflows. - Experience designing or implementing AI-powered workflows involving MCP, APIs, LLM applications, prompt engineering, retrieval or RAG systems, or workflow orchestration. - Experience with ETL or ELT workflows, schema mapping, validation scripts, and large-scale content or data migration tooling. - Experience partnering with product and engineering teams to influence roadmaps or architectural decisions based on customer implementation needs. - Experience supporting pre-sales and early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, prototypes, and custom scripts. - Experience establishing technical delivery standards, quality review processes, discovery methodologies, or internal engineering tooling from the ground up. - A strong track record of successful enterprise implementations across multiple industries or regions. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: NYC (SoHo) Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team. You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business. IN THIS ROLE YOU WILL: - Provide swift, high-priority support to Premium customers, responding within strict SLAs. - Diagnose, reproduce, and resolve complex technical issues across the Replit platform. - Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication. - Lead customer-facing communications during outages or incidents. - Identify recurring issues and collaborate internally to reduce time-to-resolution. - Contribute to internal tooling, automation, and documentation that improves team efficiency. - Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience. - Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality. REQUIRED SKILLS AND EXPERIENCE: - 3+ years in technical support, developer support, or systems engineering. - Experience providing rapid-response support to high-value or enterprise customers. - Strong debugging skills with JavaScript, Python, or similar languages. - Excellent written and verbal communication under time pressure — able to convey technical concepts clearly and calmly. - Familiarity with support tools like Zendesk, Linear, Slack, and internal debugging utilities. - Proven ability to manage multiple high-priority issues simultaneously while maintaining accuracy and composure. - A proactive, ownership-driven mindset and genuine empathy for customers building on Replit. NICE TO HAVE: - Has used Replit in the last 3 to 6 months. - Experience working with IDEs, terminals, or other common developer tools. - Experience with AI tools (Claude, ChatGPT, etc.) WHAT WE VALUE: - Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions - Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams - Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences - Continuous learning: Passion for staying current with industry best practices and new technologies - Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems This is a full-time role that can be held from our NYC office. The schedule follows a Saturday through Wednesday work week, with an in-office requirement on Mondays and Wednesdays. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed. Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team. You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business. IN THIS ROLE YOU WILL: - Provide swift, high-priority support to Premium customers, responding within strict SLAs. - Diagnose, reproduce, and resolve complex technical issues across the Replit platform. - Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication. - Lead customer-facing communications during outages or incidents. - Identify recurring issues and collaborate internally to reduce time-to-resolution. - Contribute to internal tooling, automation, and documentation that improves team efficiency. - Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience. - Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality. REQUIRED SKILLS AND EXPERIENCE: - 3+ years in technical support, developer support, or systems engineering. - Experience providing rapid-response support to high-value or enterprise customers. - Strong debugging skills with JavaScript, Python, or similar languages. - Excellent written and verbal communication under time pressure — able to convey technical concepts clearly and calmly. - Familiarity with support tools like Zendesk, Linear, Slack, and internal debugging utilities. - Proven ability to manage multiple high-priority issues simultaneously while maintaining accuracy and composure. - A proactive, ownership-driven mindset and genuine empathy for customers building on Replit. NICE TO HAVE: - Has used Replit in the last 3 to 6 months. - Experience working with IDEs, terminals, or other common developer tools. - Experience with AI tools (Claude, ChatGPT, etc.) WHAT WE VALUE: - Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions - Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams - Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences - Continuous learning: Passion for staying current with industry best practices and new technologies - Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems This is a full-time role that can be held from our Foster City, CA office. The schedule follows a Saturday through Wednesday work week, with an in-office requirement on Mondays and Wednesdays. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: United Kingdom (Hybrid); United Kingdom (Remote); Spain Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo, we have ~200 Engineers organised into Pillars. ✨ Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google and Apple at least weekly. To thrive here, our engineers proactively use our Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development, and growth. ABOUT THE ROLE ✍️ We're hiring a Staff Backend Engineer for our Financial Assistant Pillar. You'll shape technical direction and drive delivery across multiple functional product squads. Key responsibilities for this role include: - Partnering with senior peers to define architecture and lead complex, high-impact initiatives - Bringing teams together to ship ambitious product work that improves users’ financial health - Building shared systems, patterns, and tooling that raise the bar across engineering - Staying hands-on in our Ruby on Rails monolith -- designing APIs, data models, and scalable services - Anticipating risks and opportunities early, influencing plans and technical strategy - Mentoring engineers and TLs, growing the next generation of technical leaders   WHAT WE'RE LOOKING FOR 🕵️ - You’re excited by the opportunity to own and influence technical direction at a pillar level - You’ve operated at senior/staff level across multiple teams or complex domains - You bring strong technical judgment and think in long-term, scalable solutions - You’re comfortable leading without authority and aligning teams around a shared direction - You have a track record of building systems and practices used beyond your immediate team - You enjoy mentoring and raising the bar for others - You have strong, hands-on experience with Ruby on Rails (essential) WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Задачи: — Построение и руководство функцией QA Engineering, поддержка проектов Witcher 4, Cyberpunk 2, Sirius и будущих. — Определение и реализация стратегии QA Engineering для нескольких проектов и инициатив студии. — Контроль автоматизированных фреймворков, инструментов, диагностики, функциональных тестов, проверки сборок, стабильности и производительности. — Интеграция тестовых фреймворков и инструментов в CI/CD пайплайны совместно с Engineering, DevOps и Production. — Установление метрик QA Engineering, управление рисками и зависимостями, улучшение тестируемости, наблюдаемости и эффективности разработки. — Наставничество QA инженеров, поддержка карьерного роста, распределение ресурсов, коммуникация дорожных карт и результатов заинтересованным сторонам. Требования: — Опыт не менее 5 лет на руководящих инженерных позициях в игровой или софтверной индустрии, предпочтительно на крупных или AAA проектах. — Сильный инженерный бэкграунд в инструментах, автоматизации, инфраструктуре, движках, бэкенде или системном программировании с возможностью ревью кода, дизайна и архитектуры. — Опыт разработки или руководства автоматизированными тестовыми фреймворками, включая Unreal Engine и его инструменты. — Понимание CI/CD пайплайнов, билд-ферм, автоматизированных деплоев и интеграции тестов в рабочие процессы разработки. — Опыт написания инструментов автоматизации или улучшения процессов на Python, TypeScript или C#. — Навыки лидерства, наставничества, аналитики, коммуникации и кросс-функционального взаимодействия. — Приветствуется опыт AAA разработки или сложных систем реального времени. — Знание Docker, AWS или GCP для инфраструктуры сборки и тестирования. Условия: — Трудовой договор с 20–26 днями отпуска и оплачиваемым больничным. — Пакет релокации: перелёты, временное жильё, перевозка питомцев, отправка вещей, помощь с проживанием и налогами. — Медицинская страховка, страхование жизни, поддержка ментального здоровья, спортзал, родительские и благополучные программы. — Гибкий старт работы с 8:00 до 10:00 CET, обучение, курсы, воркшопы и обмен знаниями. — Офис с возможностью приводить собак, спортзал, скалодром, занятия йогой и боксом, кафетерий, социальные мероприятия, велосипедные удобства.

Location: United Kingdom (Hybrid); United Kingdom (Remote) Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM Here at Cleo, we have ~200 Engineers organised into Pillars ✨ Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google and Apple at least weekly. To thrive here, our engineers proactively use our Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development and growth. ABOUT THE ROLE We’re looking for a brilliant Frontend React/React Native Engineer with an eye for UI/UX design to join us on our mission to fight for the world's financial health. You’ll be joining a team of adaptable, creative and product-focused engineers who ship working software. We understand our customers, we understand their pain, and we are passionate about helping them. Key responsibilities include: - Working on our React Native application, building out amazing experiences for our users which bring financial health to life in the unique Cleo tone of voice. - Writing automated tests alongside your code to give us the confidence to ship it - Using AB-Tests, feature flags and other tools that let us iterate quickly - Using data to dig into user journeys, detecting problems and helping to optimise the Cleo experience - Being part of the rota for our weekly app releases to the Apple and Google app stores - Getting involved in cross-cutting concerns that lift our entire engineering effort with the rest of the frontend chapter - Taking part in shaping all the work your squad does, not just the technical parts. Delivery is a team sport, and we encourage everyone at Cleo to share their ideas, so you can expect to be involved in product ideation sessions, user research calls, design reviews, retrospectives, ways of working sessions, product demos, OKR reviews.   Whichever squad and part of the business you land in, you will be shipping changes multiple times a week to our hundreds of thousands of active users and seeing your work having a material impact on the financial health of those most in need.   WHAT WE'RE LOOKING FOR You are passionate about making a positive difference in society by improving the financial health of our users. You align with our company values https://web.meetcleo.com/life-at-cleo and engineering principles https://web.meetcleo.com/blog/cleo-engineering-principles, which drive our ways of working and software delivery. For this frontend focused role, we also have some specific asks: - We’re looking for someone with strong industry experience of using React Native or React with TypeScript for a minimum of 2+ years. - As your work will primarily involve working on features for our mobile apps, we’d either like to see some proven experience in this area or a genuine passion for moving into the mobile app space. WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Задачи: — Разработка продуктовых и KPI-метрик для ключевых сервисов Яндекса. — Ускорение производства продуктовых гипотез: сокращение времени подготовки, проведения и анализа экспериментов. — Поддержка многоэтапных процессингов на десятки тысяч CPU-ядер. — Развитие и ИИ-трансформация платформы, разработка company-wide фреймворков анализа данных. Требования: — Более трёх лет разработки на Python и C++. — Системное мышление. — Будет плюсом: знание YTsaurus, Hadoop, Spark, Flink, Kafka, тервер и статистика. Условия и бонусы: — Комьюнити, спортивные и книжные клубы, внутренние сообщества и другие корпоративные бонусы.

Location: Berlin (Germany) Data Scientist - Join Our Innovative Team at think-cell Software Our Story At thinkcell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence. What You Will Do We're a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things. No corporate bureaucracy – but the resources of a mature business. Our team is made up of experienced senior individual contributors who work independently, challenge each other constructively, and collaborate closely on solving complex problems. It is an environment with a high level of trust, autonomy, and strong opportunities to learn from experienced peers across both technical and business topics. You don't just analyze – you drive. You proactively identify gaps, inefficiencies, and opportunities for improvement, build the foundations to answer questions, and make sure stakeholders don't just receive dashboards, but know what to do with them. Key Responsibilities: Translate complex product and business questions into structured analytical, statistical, and machine-learning approaches Develop predictive and diagnostic models and derive robust signals from customer, product, and behavioural data Own solutions end to end - from outcome definition, feature engineering, and validation to operationalization, monitoring, and continuous improvement Design analyses that identify meaningful drivers, test assumptions, and quantify uncertainty Create reusable analytical assets, including models, scores, features, and evaluation frameworks Partner with Product, Marketing, Commercial, and other teams to turn complex findings into clear decisions and actions You will be great for this position if you have 3+ years of experience in Data Science, Advanced Analytics, or a comparable role Strong SQL and Python skills, including experience with common data science and machine-learning libraries Solid knowledge of statistical and predictive modelling, feature engineering, and model evaluation Experience operationalizing analytical models for recurring business use A strong understanding of validation, data leakage, bias, uncertainty, and model limitations A pragmatic approach focused on the simplest reliable solution Strong stakeholder management skills and the ability to challenge assumptions and communicate what data can and cannot support A proactive, ownership-driven way of working Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. We believe in a human hiring process, every application is personally reviewed. Why is think-cell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 240 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!

О нас и проекте: Разрабатываем LLM-агентную платформу, которая от имени пользователя ведет переписку в мессенджерах. Решаем нетривиальные задачи на стыке AI, автоматизации и безопасности. Задачи: — Бэкенд и API для оркестрации LLM-агентов (память диалогов, мультиязычность, профили пользователей, эскалация на оператора); — Интеграция агентов с мессенджерами: обработка квалификации, возражений, передача живому оператору; — Разработка личного кабинета для клиентов: онбординг, дашборд с метриками качества AI, портрет пользователя; — Работа с фермой устройств: автоматизация на Playwright/Android, обход поведенческого антидетекта (в т.ч. для сбора данных и тестирования); — Обеспечение безопасности: шифрование данных, работа с KMS, ведение журналов доступа к чувствительной информации. Требования: — Опыт Python в продакшене от 3 лет — уверенное владение и архитектурные решения; — Реальный коммерческий опыт с LLM-приложениями (от прототипа до прода); — React/Next.js на уровне, достаточном для самостоятельной разработки ЛК и дашборда; — Практический опыт с браузерной автоматизацией (Playwright/Puppeteer) и/или Android-фермой; — Понимание устройства антифрод-систем и способов их обхода; — Готовность работать с чувствительными данными, знание подходов к шифрованию и управлению ключами. Условия: — Полностью удаленный формат; — Гибкий график — 4 часа в день (20 часов в неделю), можно разбивать по своему усмотрению в рамках рабочего дня (по согласованию с командой); — Заработная плата — 60 000 ₽ на руки; — Уровень — Lead / Senior (высокая самостоятельность и ответственность); — Участие в развитии внутренней ИИ-экосистемы для студии с 10+ активными проектами; — Детали проекта и конкретные задачи обсуждаем на собеседовании.

Location: United Kingdom (Hybrid); United Kingdom (Remote); United States Workplace: Remote Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo we have team of ~135 member in our Borrow Pillar and ~8 dedicated to Credit Policy and Analytics. This function brings together several specialisms, all working toward managing portfolio performance; designing the systems, models, and controls that make lending sustainable. They drive to build and grow a portfolio of responsible EWA & Pay Later products that can scale across markets while protecting users from high cost debt trap. ABOUT THE ROLE ✍️ We're hiring a Head of Data Science to lead credit performance measurement and monitoring within our Risk & Payments pillar. This is a player-coach role: you'll manage a team of Credit Data Scientists and Analysts, splitting your time between hands-on analysis and leading the team - setting direction, developing people, and owning the function's output. You'll own the frameworks and metrics that keep our credit products healthy, and drive the deep-dive analyses that explain performance shifts and turn them into action. Key areas of impact: - Own credit performance measurement - design and maintain Cleo's risk metric framework (arrears, default, yield, LTV, marginal loss), and the dashboards/alerts that catch arrears spikes, roll-rate shifts, and decisioning anomalies early. - Bridge model health and business decisions - partner with Risk Modelling to translate model metrics (AUC, PSI, calibration, drift) into policy and product recommendations, and diagnose whether performance moves are model-driven, macro, or operational. - Lead root-cause analysis - own investigations end-to-end (question → analysis → recommendation) on issues like arrears spikes or yield compression, using driver analysis (SHAP, feature importance, decomposition), and present findings to Risk, Product, and Leadership. - Support policy and decisioning - work with Credit Policy and Decision Science to build evaluation frameworks for policy changes, quantify their marginal impact, and support elasticity/profitability modelling on pricing and limits. - Manage and develop a team - directly manage Credit Data Scientists and Analysts: set priorities, manage performance, and grow the team, not just direct project work. WHAT WE'RE LOOKING FOR 🕵️ - Strong SQL and Python skills, comfortable working directly from the warehouse - Track record owning analyses end-to-end - from framing the question to shipping a recommended change - Hands-on experience with predictive models (credit, fraud, or similar), fluent in AUC/Gini, calibration, PSI/CSI, and drift - Fluency in credit portfolio metrics (arrears buckets, roll rates, loss rate, yield/marginal loss) and how they tie to unit economics - Experience directly managing analysts or data scientists - priorities, performance, and people development - Nice to have: experience with short-term or revolving credit products - Nice to have: experience with both UK and US regulatory frameworks WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Montevideo WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are seeking a Site Reliability Engineer to create scalable and highly reliable software systems for our production investment pipeline. Successful candidates display an aptitude for improving system availability, latency, performance, efficiency, and capacity measures while also participating in change management, monitoring, emergency response, and capacity planning processes. This role will collaborate closely with developers on designing scalable systems, improving release pro cesses, and reducing operational burden from development teams. Site reliability engineers at WorldQuant must be able to adapt to rapid changes in business and technological requirements as well as operate distributed systems in a performant manner. What you’ll do: Enhance platform reliability by monitoring performance and setting relevant metrics. Own and manage CI/CD procedures, promoting best DevOps practices through standardized release processes. Containerize and scale services to fit business needs. Monitor and manage hardware estate as well as file system. Apply industry standard security practices. Collaborate with engineering teams on both new systems design and existing system enhancements. Pioneer efforts in new open-source technologies while also leveraging mature solutions. Be an active member of an agile engineering team who is continuously looking to improve team performance. What You’ll Bring: Bachelor’s degree in Computer Science or related discipline or equivalent job experience. Passion toward software engineering and interest in running real-world applications at scale. Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture Excellent problem-solving abilities and judgment with strong attention to detail Experience in Linux administration; fluent in Linux standard command line programs Familiarity with technologies like Docker, Kubernetes, Helm, Grafana, Prometheus, Git. Working knowledge in various database and messaging technologies such as SQL, Redis, Kafka Understanding of Git and CI/CD concept Demonstrated experience using Python; understanding of Python idioms and limitations. Strong written and verbal communication skills; Fluency in the English language Candidates need not have prior experience in financial services. Notes on schedule: Please note that this role will periodically require coverage until 21:00 Uruguay time to bridge the gap with our Asia hours coverage. We also require light weekend coverage (rotated globally) during daytime hours. We offer flexible work from home hours. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.