Вакансии

Роль объединяет анализ больших данных, ETL и описание взаимодействия систем. — Python, SQL, реляционные базы, статистика и вероятность.

Location: Москва Наша команда развивает интеллектуальные системы для ведущего банка —рекомендательные сервисы и AI-агенты. Наша цель — создавать решения, которые помогают клиенту решить его потребности с помощью продуктов и сервисов экосистемы Сбера, персонализируют клиентский опыт и оптимизируют бизнес-процессы. При этом минимизируя ненужный инфо-поток от экосистемы на клиента. Мы ищем специалиста, который объединит экспертизу в анализе данных, бизнес-аналитике и продуктовом анализе. Тебе предстоит погрузиться в клиентские пути, формировать и проверять гипотезы, быть драйвером инноваций, влияя на развитие ключевых продуктов банка. Обязанности ### Чем предстоит заниматься: * работать с бизнес-заказчиками: выявлять и уточнять бизнес-требования, переводить их в фичи дорожной карты развития продукта * вести продуктовую аналитику: формулировать и отслеживать метрики успеха, анализировать воронки, проводить A/B-тесты и оценивать влияние изменений на ключевые показатели * анализировать данные по клиентам и запускаемым кампаниям * проводить ресерч новых источников данных для улучшения качества рекомендательной системы * участвовать в разработке и развитии стратегии развития продуктов, определять приоритетные направлений для исследований * анализировать рынок и продукты с точки зрения клиентского опыта, формировать и проверять - продуктовые гипотезы, разрабатывать концепции и прототипы * проектировать MVP на основе гипотез * согласовывать бизнес-процессы: UML диаграммы, бизнес-схемы * взаимодействовать со смежными командами в качестве заказчика * разрабатывать методологии расчетов ключевых показателей по направлению и механизмов их внедрения. Требования ### Что для нас важно: * высшее образование: техническое или экономическое * опыт работы в качестве CJE, продуктового аналитика, системного аналитика от 2 лет * опыт работы с системами управления взаимодействием с клиентом и рассылками (CRM, CDP) * опыт организации исследовательских сессий, сбора и обработки обратной связи * опыт в продуктовых исследованиях (customer development, дизайн-мышление, ux-исследования и пр.) * знание основ статистики (методология оценки A/B-тестов, проверка гипотез) * знание BPMN и опыт построения процессов и постановки требований * умение ставить эксперименты и интерпретировать результаты * навыки продуктовой аналитики: определение метрик, A/B-тестирование, проверка гипотез, анализ воронок * навыки применения ИИ в профессиональной деятельности (например, Гигачат, Кандинский). ### Дополнительным преимуществом будет: * опыт работы с LLM: проектирование, внедрение или оптимизация чат-ботов/AI-агентов (LangChain, RAG, fine-tuning) * опыт работы с BigData-стеком (Hadoop, Spark, Hive), умение строить и оптимизировать пайплайны обработки больших данных * опыт работы с HighLoad-стеком (Java, Scala, Flink), понимание принципов проектирования высоконагруженных распределенных систем * опыт работы аналитиком от 2-х лет, опыт в экосистемных компаниях будет преимуществом (Ozon/Яндекс/Тинькофф/MTC/WB) * владение Miro, Figma. Условия ### Что мы предлагаем: * срочный трудовой договор (декретная ставка) * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * программу адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписку Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративную пенсионную программу.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We are seeking a strategic and creative Partnerships Product Marketing Manager to drive the success of our partner ecosystem. In this role, you will work closely with our partnerships team and with leading technology companies including NVIDIA, Cloud Hyperscalers, Neocloud providers, and emerging ecosystem players, to bring differentiated joint solutions to market. You will be responsible for shaping partner narratives, creating impactful content, and enabling joint go-to-market programs that amplify our reach. The ideal candidate combines storytelling skills, technical acumen, and the ability to collaborate across partner and internal teams. RESPONSIBILITIES - Partner Storytelling & Content - Develop compelling blog posts, white papers, solution briefs, and customer success stories highlighting the value of joint solutions. - Translate technical integrations into clear, differentiated messaging for both technical and business audiences. - Enablement & Training - Build and deliver enablement programs to arm partner sales teams with the tools, messaging, and collateral they need to position and sell our solutions. - Create sales playbooks and battlecards tailored to each partner’s ecosystem. - Joint Go-to-Market Campaigns - Plan and execute co-marketing campaigns with partners, including webinars, events, solution launches, and demand-generation activities. - Manage partner marketing calendars and ensure alignment with key product milestones. - Cross-Functional Collaboration - Work closely with product marketing, product management, DevRel, and growth marketing, events and sales to align messaging and GTM initiatives. - Serve as the marketing point-of-contact for the partnerships team. REQUIREMENTS - 6-10 years of experience in product marketing, partner marketing, or related roles in B2B technology. - Experience with NVIDIA technology and ecosystem or Cloud Providers technology - Track record of working with cloud providers, ISVs, or hardware partners in joint go-to-market programs is a plus. - Exceptional written and verbal communication skills; ability to create high-quality content across multiple formats. - Strong program management skills with the ability to handle multiple partners and campaigns simultaneously. - Technical curiosity and ability to quickly learn new technologies and ecosystems. - Comfortable working in a fast-paced, high-growth environment. NICE TO HAVE - Familiarity with developer ecosystems, APIs, and modern software development practices. - Knowledge of AI/ML infrastructure, model serving, and performance optimization concepts. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. This role does require three days a week in our Renton, WA office. What You'll Do: Collaborate with both the D&D studio team and D&D Beyond digital team to ensure visual consistency and innovation across platforms Build captivating graphic design elements, style guides, and layout formats that uphold D&D's iconic aesthetic while optimizing for digital experiences across both owned IP and 3P partnership projects Partner with D&D Beyond's Content Specialists and UI/UX team to inform design decisions and provide creative direction aligned with the D&D brand Develop design style guides and systems that can flexibly adapt between print and digital formats Build and maintain technical documentation for asset specifications, file organization, and workflow processes in collaboration with D&D production Collaborate with engineering teams to optimize asset delivery and implementation Serve as a design resource for asset optimization and delivery questions What You'll Bring: 5+ years of professional graphic design experience, with shown expertise in both print and digital design Familiarity with Dungeons & Dragons and fantasy art direction Strong portfolio showcasing versatile design work across digital and print mediums Proficiency in Adobe Creative Suite and relevant digital design tools Solid knowledge of typography, color theory, layout design, and user experience (UX) principles Understanding of technical requirements for digital asset optimization and delivery Experience crafting and maintaining technical documentation Excellent interpersonal skills and ability to collaborate across multiple teams Strong understanding of responsive design and digital asset optimization Experience working on 3p licensed products and navigating brand adherence for partner IP Nice to Have: Experience in gaming, entertainment, or publishing industries Previous work involving print-to-digital adaptation Experience with version control systems for design assets Knowledge of build pipelines and asset management systems Understanding of accessibility standards in digital design Employment Details: Please note that this is a temporary assignment through an external staffing agency. If you are selected for this assignment, you will be employed by Workwell as a W2 employee and will not be an employee of Wizards or Hasbro. Employment Type: Temporary Duration: 6 months with opportunity to extend up to one year Location: This is a hybrid role open to candidates whose work location is within commuting distance of Renton, WA. In compliance with local law, we are disclosing the hourly pay range and benefits available for this role. Hourly Pay Range: $45.00 - $55.00 Benefits for US: Workwell offers temporary workers located in the United States medical, dental, and vision coverage, as well as paid time off, holiday pay, a health savings account, an employee assistance program, a 401(k) retirement plan, and paid sick leave. Paid sick leave may vary by location. We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are | Wizards of the Coast We are committed to building an inclusive, welcoming workplace where everyone belongs. Hasbro is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran, or any other legally protected status. If you have a disability and need reasonable accommodation during the application and hiring process, including support for the interview, please email your recruiter anytime throughout the process. Please note that benefits listed below are for full time employees only, please refer to the benefits listed above for Contingent Workers payrolled through Workwell. #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $45 — $55 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Dublin, Ireland Title of role: Senior Software Engineer I (Front-End) Location: Dublin, Ireland; Hybrid (2 days in the office required) Approved Salary Range: €70,000 -  €100,000 About the Role : Rue Gilt Groupe is looking for a Front-end Senior Software Engineer I to join our Merchandising Engineering team in Dublin, IRE. This is an international team, with members in the United States and Ireland. Merchandising Engineering owns the systems between buying and selling at Rue Gilt Groupe: product ingestion, catalog and attribution, selling hierarchy and boutique model, scheduled pricing and promotions, and the merchandising operations tooling built on top of all of it. The team is small and senior, primarily backend engineers, with this role as the dedicated front-end owner. We're currently replat forming our commerce stack, which means the team is defining new data models, new integrations, and new tooling rather than maintaining what exists. We sit at the interface between our merchandising business and our commerce platform: getting bought products into the catalog, structuring how they're categorized and attributed, and building the tools our merchandisers use to plan, price, and launch boutiques every day. We're in the middle of a replat form. Our legacy ecommerce stack is being replaced with a modern SaaS commerce platform, and the internal merchandising tools that sit on top of it are being rebuilt and revamped. You'd be the front-end owner for that effort: setting the patterns, choosing the structure, and shipping the tools a team of merchandisers relies on every day. We're also deliberate about how we build. The team uses Claude across the development lifecycle (code, review, documentation, triage) and we invest in making that leverage repeatable: shared skills, repo-level rules, and tooling that connects our AI workflows to the systems we use. There's no better time to be involved in the technical advancement of e-commerce at Rue Gilt Groupe. We utilize technology, merchandising, and marketing to strategically support our brand partners and inspire members daily. Our approach to retail brings excitement to online shopping and the best-in-class experience that today's customer demands. Key Responsibilities: Own front-end architecture for the Merchandising Engineering team: establish patterns, project structure, component and state conventions, and testing standards for a new React and TypeScript codebase. Set the standard for AI-assisted front-end development on the team: author and maintain reusable Claude skills and repo rules for the new codebase, and define how we use agentic tooling in review, testing, and migration work. Port, expand, or rebuild our internal merchandising tooling (boutique building, scheduled pricing, catalog and taxonomy management) from a legacy Angular application onto a new commerce platform, retiring legacy pages as you go. Build data-dense internal UIs: large tables, multi-step workflows, and configuration tools where correctness and speed matter. Integrate front-end applications against platform APIs and event-driven backend services, working with backend engineers on contracts and data shape. Operate in an SDLC environment of fail-fast incremental delivery where innovation is a mainstay, and experimentation is encouraged. Collaborate directly with merchandisers, product management, and engineers across all of our technology teams to turn operational needs into shipped tooling. Lead by example: raise the front-end bar for a backend-leaning team through code review, pairing, and shared conventions. About you At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness and innovation. We're committed to fostering an inclusive environment where every Associate is empowered to learn, grow and bring their full self to work. Even if you don't check off every qualification in the job description, that's okay. We encourage you to apply to any role that excites you and sparks delight! We can't wait to learn more about you. Experience and Background Needed : Bachelor's Degree desired , but not required 5+ years of front-end engineering experience Deep experience with React and TypeScript; you've structured production applications from the ground up, not just contributed to them Fluency with AI coding assistants (Claude or similar) as a daily part of your workflow, and judgement about where they help and where they don't Experience building the scaffolding that makes AI tooling reliable for a team (prompt libraries, agent skills, repo conventions, MCP or similar integrations) is a strong plus Comfortable reading and working within Angular (our legacy tooling) and Vue (vendor-provided boilerplate); expertise not required Experience building internal, data-heavy applications for operational users (admin tools, back-office systems, workflow tools) Solid grasp of the Node.js ecosystem, build tooling, and CI/CD practices Experience consuming REST or GraphQL APIs; familiarity with event-driven or streaming backends ( e.g. Kafka) is a plus Knowledge of design systems and component libraries Experience with a cloud computing platform (AWS preferred) Experience working in an Agile/Kanban development team A love of learning and teaching Fluency in English Outstanding interpersonal and communication skills to interact with internal and external stakeholders while working in a collaborative team environment The above statements are intended to describe the general nature and level of work being performed by employee(s) assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employee(s) assigned to this job. Rue Gilt Groupe reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities within your general skill set or capabilities. Rue Gilt Groupe is proud to be an Equal Opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. What We Offer : Rue Gilt Groupe is a leading off-price e-commerce portfolio company, connecting the next-generation shopper to world-class brands. We’ve defined the online treasure hunt through our daily sale events, allowing a large, loyal member base to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. Rue Gilt Groupe operates three complementary sites – Rue La La, Gilt, and Shop Premium Outlets. Our vision at RGG is to spark delight through daily discovery – we make shopping an occasion to celebrate. At the forefront of fashion and technology, we’re also in the business of sparking delight for our Associates. We inspire each other, our Members, and ourselves to push past the expected – every day. Our culture is rooted in our values, and together we work to demonstrate being Kind, Passionate, Collaborative, Innovative, Tenacious and Empowered. Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, pension scheme, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated. We Encourage You to Apply: At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness and innovation. We’re committed to fostering an inclusive environment where every Associate is empowered to learn, grow and bring their full self to work. Even if you don't check off every qualification in the job description, that's okay. We encourage you to apply to any role that excites you and sparks delight! We can't wait to learn more about you. ABOUT US: Ready for the most memorable – and stylish – experience of your professional career? Then join us at Rue Gilt Groupe. Combining three complementary brands, Rue La La, Gilt, and Shop Simon, we are the premier off-price e-commerce portfolio company. Our model defined the online treasure hunt through its daily sale events allowing our customers to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. We believe in fashion for all, sparking delight through daily discovery and shopping as an occasion to celebrate!  World-class merchandising, technology and marketing bring our shopping experience to life, and we hire world-class people to do it.  Living our values and being empowered, tenacious, passionate, collaborative, innovative, and kind is something we strive for every single day. We meet over coffee and brainstorm new ways to spark delight for our members. Volunteer on- and off-hours together. Plan some serious surprises for our coworkers, because nothing ignites innovation like a breakfast cereal buffet or an afternoon slice of cake. And we don't hesitate to use our associate discount – after all, we're as enthusiastic about style as our customers. The way we work?  It's so much more than what happens between the weekends. It empowers us to think, create, and innovate, so we can deliver the first-rate experience today's customer’s demand. Rue Gilt Groupe GDPR/CCPA Pre-Collection Notice for Job Applications: We collect personal information (PI) from you in connection with your application for employment with Rue Gilt Groupe, including identifiers, contact information, employment and education history, and related information. We use this PI for purposes related to evaluating your application and potential employment. Depending on your location, you may have rights under GDPR or U.S. state privacy laws. For additional details or if you have questions, please see our GDPR Applicant Privacy Notice and CCPA Applicant Privacy Notice or contact us at recruitingcoordinator@ruegiltgroupe.com.

Location: Lexington, Ohio Behavior Technician – Lexington, OH Company: SparkJoy ABA, a Finni Health company Job Type: Part-time or Full-Time! Location: In-home and in clinic setting – Lexington, OH Pay: $17-$22 per hour Hours: - Monday - Friday: 3:30PM-6:30PM - We can also accommodate more hours if you prefer a full-time schedule!   SparkJoy ABA, in partnership with Finni Health, is seeking a compassionate and motivated Behavior Technician to provide in-home ABA therapy to children with autism in Lexington, OH. Why Join Us? We’re a mission-driven, clinician-led company focused on ethical care and meaningful outcomes—not investor pressure. Enjoy free advanced training, ongoing BCBA support, and the opportunity to make a lasting impact. Your Role: - Work 1:1 with children in-home using individualized ABA treatment plans - Teach communication, daily living, and social skills - Collect data and collaborate with supervising BCBAs - Support families through parent training and consistent communication - Work Environment - This job operates in a client's home environment. Employees must feel comfortable going into client homes and neighborhoods within the assigned territory. What You Bring: - 1+ year experience with children - Strong communication, time management, and organizational skills - A passion for helping children grow and succeed - Reliable transportation to client homes in Lexington Job Details: - Part-time: 15+ hours/week - Full-Time: 30+ hours/week - Pay: $17–$22/hr - Benefits: PTO, professional development - Training: 40 hour online required once hired Join a company that values people over profit. SparkJoy ABA is changing lives—one session at a time. Apply today and spark joy in a child’s life.   To protect our clients and their families, this position requires a background check. Successful candidates will receive a conditional offer of employment, with a final confirmation to start pending the satisfactory results of the screening.   Must be at least 18 years of age to meet regulatory, background check, and BACB eligibility requirements for behavioral healthcare providers #FinniHealth2026

Location: San Francisco, CA, USA About the role Chime's Data Science & Machine Learning team builds the models, services, and platforms behind how millions of members manage and grow their financial lives. We're hiring a Staff AI/ML Engineer on our Lending and Cashflow team to lead the modeling behind cash flow underwriting and surface member insight: using members' transaction and deposit data to make fair, accurate credit decisions for people that traditional credit scores often miss. In this role, you'll build and deploy machine learning systems on some of the richest transactional and behavioral data in fintech, turning it into the credit decisions behind products like MyPay, Instant Loans, and SpotMe. This is a highly applied role: you'll own problems end to end, from framing the question through to a model running in production and moving a metric that matters, and you'll set the technical direction for how Chime underwrites with cash flow data. In this role, you can expect to Lead the design, training, and deployment of deep learning and classical ML underwriting models that turn members' transaction and cash flow data into credit decisions, from approval and line assignment to loss forecasting Take models from problem framing through to production — training, evaluation, deployment, monitoring, and iteration — and stay accountable for how they behave once they're live Design and improve the systems around the model: feature pipelines, batch and real-time inference, monitoring, and retraining Partner with Product, Engineering, Analytics, and Risk to turn ambiguous business problems into ML solutions, and to make sure the solution is the right one Connect model performance to member outcomes and business metrics, and use experimentation to prove impact Set the technical roadmap for Lending ML and raise the bar across the team through design reviews, mentorship, and shared standards for model development, validation, and governance Help identify where AI/ML creates measurable impact for members — and where a simpler answer is the better one To thrive in this role, you have A track record of leading the design and deployment of deep learning models in production, including multi-quarter initiatives that span teams, with a solid grasp of architecture choice, training dynamics, and evaluation, and the judgment to make model design choices Solid machine learning fundamentals: classical modeling, evaluation design, and knowing which metric actually answers the question in front of you Hands-on experience across the end-to-end ML lifecycle — training, experimentation, optimization, deployment, and monitoring Comfort with messy real-world data, including label definition, leakage, class imbalance, and train/serve skew Strong proficiency in Python and SQL, with deep learning frameworks such as PyTorch and distributed compute such as Spark or PySpark Working knowledge of modern ML infrastructure — AWS and tools such as SageMaker, Airflow, Kafka, Redis, and Snowflake — and an MLOps mindset for keeping production systems healthy The ability to operate independently in ambiguous environments, influence technical direction beyond your own team, and explain model decisions clearly to engineers, risk partners, and senior leaders Nice-to-have Experience in either of these is a plus: Credit or underwriting models, and familiarity with model governance, explainability, and fairness requirements, such as adverse action reason codes and fair lending testing Cash flow or alternative-data underwriting: building credit features from bank transaction data, such as income and expense detection, balance trends, and transaction categorization Deployed transformer models in production #LI-Onsite #LI-DA1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $246,000 — $340,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

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 Data Engineer II to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Build, optimize, and maintain data pipelines that power our business Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies Protect our users’ privacy and security through best practices The ideal candidate has: 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality). Expertise in SQL and Python Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake) Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry. Familiarity with healthcare or insurance Familiarity with data security and HIPPA compliance 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 Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. 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: Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker 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 $ 138,000 - $160,000 . 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) with company match, flexible spending accounts, 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: Москва Мы – команда управления рисками блока сеть продаж. Мы создаем инструменты и сервисы, как классические, так и AI/ML-решения, которые позволяют минимизировать риски мошенничества в отношении клиентов и банка. Сейчас нам в команду требуется руководитель направления, который поможет нам выстроить систему регулярного мониторинга для каждого проекта, покрыв их метриками (AI/ML, бизнес, клиентские метрики), оперативного реагирования и эскалации западающих зон и организацию их исправления. Обязанности * Взаимодействие с бизнес-командами для сбора требований, согласования гипотез, презентации результатов и формирования бэклога. * Руководство распределенной командой инженеров и аналитиков данных (2 чел.). * Управление бэклогом команды: планирование, постановка, приоритизация и контроль выполнения в Jira. Ведение и актуализация проектной документации в Confluence. * Поиск, анализ и оценка новых источников с релевантными данными для использовании в работе. * Решение сложных аналитических задач: расчет бизнес-метрик, проектирование и реализация логики преобразования данных для анализа. * Разработка, оптимизация алгоритмов обработки данных на SQL, Python. * Формирование и формализация алгоритмов для построения отчетности и аналитических исследований. * Выполнение аналитических ad-hoc задач. * Проектирование, разработка и поддержка аналитических витрин и слоя данных в Greenplum, Hadoop, Spark, СМД. * Внедрение и поддержка процессов обеспечения качества данных (Data Quality): контроль стандартов, мониторинг целостности, точности и своевременности поступления данных. * Реализация и развитие BI-отчетности, дэшбордов для мониторинга динамики риска поведения / фрода и оценки причин изменений, выявления фродовых / подозрительных операций, оценки эффективности мероприятий по предотвращению рисков. Требования * Понимание основ проектирования, разработки и оптимизации ETL/ELT-процессов и дата-пайплайнов. * Опыт проектирования, создания и поддержки аналитических витрин данных. * Продвинутое владение PostgreSQL (создание процедур, оконные функции, поставка витрин через PXF), Python (pandas, numpy, matplotlib). * Опыт работы с распределенными системами, такими как Greenplum, Hadoop и Spark, СМД. * Навыки применения статистического анализа и методов машинного обучения (классификация, обнаружение аномалий) для решения бизнес-задач. * Способность решать сложные аналитические задачи: расчет метрик, анализ первопричин, формализация алгоритмов для выявления подозрительных активностей. * Опыт внедрения и поддержки практик обеспечения качества данных, мониторинга их целостности и точности. * Опыт разработки и поддержки BI-отчетности (Qlik, Navigator) и дэшбордов для мониторинга и аналитики. Условия * График 5/2, офис на м. Кутузовская; * Режим работы - офис; * Достойный уровень вознаграждения (оклад + годовая премия); * Возможность возглавить AI-направление и влиять на цифровую трансформацию банка; * Широкие возможности для профессионального развития: корпоративный университет и множество онлайн-программ обучения. Корпоративное обучение за счёт компании; * Бесплатная подписка СберПрайм+, многочисленные скидки и бонусы от партнёров: СберМаркет, МегаМаркет, Самокат, Еаптека и др.

Задачи: — Разрабатывать и развивать ETL-системы, которые обеспечивают данными различные предметные области: продажи, учёт, логистику — Анализировать данные и проектировать структуры данных под аналитические потребности различных бизнес-подразделений — Оптимизировать и мониторить пайплайны обработки данных, повышая их производительность и стабильность — Проектировать и реализовывать масштабируемые хранилища данных на базе HP Vertica, Trino, ClickHouse, PostgreSQL и Hadoop Требования: — Самостоятельность в решении задач и опыт в роли ключевого разработчика на крупном проекте — Опыт проектирования архитектуры хранения данных и связанных ETL-процессов — Умение работать с техническими требованиями: аргументированно предлагать изменения и находить оптимальные решения — Хорошие навыки проектирования и реализации ETL-процессов, обязательное знание Airflow — Отличное знание SQL и системное мышление — Опыт разработки хранилищ данных с использованием одной из колоночных СУБД: Vertica, Greenplum, Exadata, Teradata — Опыт программирования на Python, в том числе для разработки решений по автогенерации ETL-задач и реализации логических алгоритмов — Навыки работы с Bash и Docker Будет плюсом: — Опыт работы со Spark — Опыт работы с несколькими ETL-инструментами и их использованием в горизонтально масштабируемых системах обработки данных — Знания в одной из областей: CI/CD, frontend- или backend-разработка, разработка интеграционных потоков — Желание участвовать в управлении проектами и доводить фичи до production — Желание развиваться в наставничестве и помогать другим участникам команды

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

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

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

Требуется Главный SRE/DevOps-инженер уровня Senior или Senior+ для работы в часовом поясе Москвы с зарплатой от 220 000 рублей и локацией в России. Кандидат должен обладать глубокими знаниями в области S3/Object Storage и архитектуры распределенного хранения данных, а также иметь опыт сопровождения Kubernetes-платформ. Важен практический опыт эксплуатации компонентов Data Lake, таких как Apache Spark, Airflow, Flink, Kafka и Apache Iceberg, а также опыт работы с MinIO и другими решениями Object Storage. В обязанности входит сопровождение и эксплуатация платформы Data Lake, поддержка инфраструктуры S3/Object Storage, мониторинг и устранение инцидентов, решение проблем с производительностью платформы и систем хранения, сопровождение Kubernetes и компонентов Data Lake, проведение анализа причин инцидентов (RCA) и постмортем, автоматизация эксплуатационных процессов, взаимодействие с командами Data Engineering и инфраструктуры, а также сопровождение Big Data Platform. Требования включают экспертные навыки администрирования Linux, опыт работы с высоконагруженными распределенными системами, понимание механизмов репликации, erasure coding, согласованности данных и отказоустойчивости. Необходимы навыки устранения проблем, связанных с CPU, RAM, сетью, дисковыми операциями, задержками и пропускной способностью, опыт работы с инструментами наблюдаемости (Prometheus, Grafana, alerting, анализ логов), а также умение автоматизировать задачи с помощью Ansible, Terraform, Bash и Python. Кандидат должен хорошо разбираться в управлении инцидентами и проблемами, владеть практиками SRE, а также иметь опыт проведения RCA, постмортем анализа и повышения надежности платформ.

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

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

Location: Москва Наша команда развивает пользовательские сценарии и персонализацию предложений в Диалоговых каналах банка. Наша цель — объединение канальных сценариев взаимодействия с клиентом в единый омниканальный процесс, создание решений, которые помогут клиенту закрыть его потребности с помощью продуктов и сервисов экосистемы Сбера, персонализируют клиентский опыт и оптимизируют бизнес-процессы. Первый этап отбора на эту вакансию — общение с AI-рекрутером. После отклика ждите сообщение от него, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности * вести продуктовую аналитику: формулировать и отслеживать метрики успеха, анализировать воронки, проводить A/B-тесты и оценивать влияние изменений на ключевые показатели * анализировать данные по клиентам и кампаниям * проводить исследование новых источников данных для улучшения качества персонализации предложений * участвовать в разработке стратегии развития продукта, определять приоритетные направлений для исследований * готовить Ad-Hoc отчеты, консультировать смежные команды * унифицировать, автоматизировать и развивать аналитические процессы команды. Требования * опыт работы в качестве DA/BA от 2 лет * Уверенное знание SQL (оконные функции, умение читать план запроса и т.д.) * опыт использования Python для аналитики (библиотеки - pandas/ numpy/ matplotlib/ seaborn) * умение презентовать результаты своих исследований и объяснять сложные вещи простыми словами * умение проектировать эксперименты и интерпретировать результаты; * знание основ статистики (методология оценки A/B-тестов, проверка гипотез) * навыки анализа большого массива данных. **Преимуществом будет:** * опыт работы в BI инструментами (Tableau, Qlik и др.) * опыт работы с BigData-стеком (Hadoop, Spark, Hive), умение строить и оптимизировать пайплайны обработки больших данных * аналитическое мышление и умение систематизировать информацию; * проактивность и самостоятельность в решении задач * умение работать со смежными командами, отстаивать интересы по своим задачам и место в бэклоге, контролировать выполнение поставленных задач * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * офисный формат работы, адрес офиса Кутузовский проспект 32 к 1 * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role Alpaca's product team is looking for a Product Manager to own Alpaca's regulated crypto trading and yield surface: spot or perps exchange, fiat and stablecoin funding rails, staking / lending and the crypto API that partners build on. You will partner deeply with engineering, compliance, legal, partnerships, and the broader Alpaca product team to ship regulated crypto infrastructure at scale. You will help shape and grow the crypto product itself, and you will be expected to provide early signal on US policy changes rather than react after rules formalize. Things You Get To Do: Own the spot crypto exchange product surface - pair coverage, order types, availability in various jurisdictions and the partner facing experience for trading crypto on Alpaca. Lead integrations that unlock funding and liquidity with LPs and custodians. Own the stablecoin funding flow, including paths for USDC and other regulated / GENIUS-aligned stables. Work with partners to understand crypto needs for fintechs, neobrokers, and institutional platforms. Expand supported networks and coins that balances partner demand and custody readiness. Drive staking and lending / earn product design within regulatory and ops constraints. Shape a crypto API surface that treats developers and agents as primary customers: SDKs, reference integrations, changelog discipline. Lead and execute the product case for crypto perps. Who You Are (Must Haves): Excited about what Alpaca is building and ready to own a core regulated crypto product surface. Bachelor's degree in computer science, engineering, finance, or equivalent. 5+ years of experience in Product Management, Engineering, and/or starting a startup, preferably within crypto exchanges, brokerage, market making, custody, or financial infrastructure. Demonstrated depth on at least one core crypto product surface at production scale: spot trading / exchange, custody / wallets, fiat or stablecoin funding rails, staking / earn or derivatives / perps. Strong understanding of crypto market structure - order books, liquidity providers, spreads, slippage, settlement, and how B2B / API-first platforms differ from retail-only exchanges. Experience shipping in a regulated environment alongside Legal, Compliance, Risk, and Operations - comfortable with ambiguity and real-time tradeoffs. Proven ability to run partner / customer discovery and turn it into a prioritized roadmap; excellent written and verbal communication across engineering and executive audiences. Business acumen to weigh ROI, partner demand, regulatory risk, tech feasibility, time, and budget. AI-native PM workflow; AI is part of your daily stack in getting work done. Who You Might Be (Nice-to-Haves): Direct experience at a crypto exchange, broker-dealer, custodian, market maker, or institutional crypto infrastructure provider. Experience building developer-facing crypto APIs used by quants, algo traders, or automated / agentic systems. Familiarity with staking, lending / earn, perpetual futures, and the operational and regulatory constraints of offering them through a licensed entity. Background combining regulated financial-product context (broker-dealer, payments, custody) with crypto native infrastructure (wallets, L1/L2, on-chain settlement). How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy