Вакансии

Разработка и настройка AI системы, базирующиеся на текстовой корпоративной информации (включая обучение/fine-tuning моделей); Оценка и оптимизация AI-решения, модели машинного обучения, алгоритмы AI;

Location: Europe, US Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands, Serbia, and more. We are headquartered in Amsterdam. About the position We are seeking an exceptional Delivery Lead to own the successful execution of complex AI data projects across a portfolio of clients. This is a hands-on role combining project leadership, client management, and operational excellence to ensure projects are delivered to the highest standards of quality, on time, and within target margins. As a Delivery Lead, you will manage virtual, cross-functional teams and coordinate engineers, supply managers, researchers, science teams, product teams, and other internal functions as required. You will work closely with clients to understand their requirements, manage expectations, resolve issues, and ensure delivery consistently meets or exceeds expectations. The role requires someone who can operate comfortably at both the strategic and operational level, taking ownership of the overall delivery outcome while being prepared to get into the detail when required. Key Responsibilities Own end-to-end delivery across a complex portfolio of projects, taking ultimate accountability for data quality, timelines, client outcomes, unit economics, gross margin, and transparent stakeholder reporting. Lead cross-functional delivery teams and project managers, ensuring projects remain on track, risks and issues are proactively identified and resolved, and stepping in as a hands-on Delivery Project Manager when required. Drive operational excellence across the delivery function, overseeing planning, resource allocation, internal and external communication, project reporting, status updates, retrospectives, and execution standards. Partner closely with Business Development to scope new opportunities, shape project proposals, optimize delivery models, and successfully transition prospects into high-quality, commercially viable engagements. Build strong client relationships throughout project execution, managing complex technical stakeholders, maintaining clear communication, addressing delivery challenges, and ensuring outcomes that drive client satisfaction and retention. Drive team performance and continuous improvement , motivating delivery teams, identifying opportunities to increase efficiency, improving processes and workflows, and developing new approaches to enhance execution quality. Lead the adoption of delivery improvements , rolling out new processes, tools, and ways of working across the organization while gathering feedback, measuring impact, and continuously refining the delivery model. Required Skills Proven experience in the AI space , particularly within startups, including working with clients and managing teams or projects at scale. Experience managing complex projects including discovery, decomposition, scope planning, implementation and adoption Client facing experience ; a consulting background reaching levels of Engagement Manager or Associate Partner Deep understanding of AI and GenAI : technology and market trends, basic knowledge of statistics, ML and data science, data generation Background in STEM : BS or MS in computer science, maths, physics, etc. What we can offer You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector. Competitive compensation package. Flexible, fully remote schedule. Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts. Projects with customers that are AI industry leaders and well-known household names Equal Opportunity Employer Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn. We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: Москва Sber AI – команда Сбера, которая занимается R&D исследованиями в области применимости передовых AI / GenAI технологий для решения прикладных бизнес-задач, созданием готовых продуктов и сервисов для Сбера, крупнейших компаний страны, государства и населения. Обязанности * методологическое развитие AI-функции в Банке: методологическая поддержка, описание и мониторинг процессов, связанных с AI * анализ и разработка процессов «as is» и «to be» в области создания и внедрения AI-решений с учетом лучших международных практик * разработка нормативных документов и стандартов по управлению AI-функцией (AI Governance), ролевой модели D-people и др., а также контроль их исполнения * создание и внедрение инструментов регулярной отчетности в части управления AI-функцией в Банке * подготовка аналитических материалов и презентаций в части развития методологии AI. Требования * опыт работы по созданию/ развитию технологических продуктов Банка или методологии в области технологий/ искусственного интеллекта от 3 лет * навык применения LLM и AI-агентов при решении рабочих задач * владение ARIS либо другими решениями для моделирования бизнес-процессов, знание нотации проектирования BPMN * опыт разработки нормативных документов, внедрения процессов и стандартов в области технологий * развитые аналитические навыки, навыки устной и письменной коммуникации, включая ведение деловой переписки * владение средствами визуализации и подготовки презентаций * самостоятельность и инициативность * уровень английского Upper Intermediate и выше. **Плюсом будет:** * знание предметных областей в рамках построения бизнес-процессов: кибербезопасность, управление данными, архитектура и т.д. * знание технологического стека разработки и внедрения AI-решений. Условия * офисный формат работы * комфортный современный офис (Кутузовский пр-т, 32) * работа в одной из наиболее перспективных и быстро развивающихся областей - искусственный интеллект * доступны образовательные программы от СберУниверситета для профессионального и карьерного развития * ежегодный пересмотр зарплаты, годовая премия * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * корпоративный спортзал и зоны отдыха.

Location: United States We are looking for a high-impact Staff or Principal Software Engineer to drive the architecture, reliability, and scaling of our managed cloud offering, SingleStore Helios . In this role, you will lead the evolution of our multi-cloud SaaS control and data planes, manage high-density Kubernetes deployments across major hyperscalers, and partner directly with our AI Platform initiatives. As a senior technical leader, you will balance greenfield architecture with hands-on systems programming and operational resilience. You will also allocate approximately 10–20% of your bandwidth toward high-priority Tier-3 operational escalations, identifying root causes in production distributed systems to inform durable platform architecture. What You’ll Do Architect Distributed SaaS Infrastructure: Design, implement, and scale multi-tenant Kubernetes operators, custom controllers, and orchestration workflows managing thousands of customer database clusters globally. Write Resilient Systems Code: Develop performant, fault-tolerant backend services and control planes using modern Go language & Python. Lead Cloud Networking Design: Own cross-cloud networking topology, ingress/egress controls, multi-region routing, VPC peering/PrivateLink topologies, DNS architectures, and service mesh performance (Envoy, Cilium, or Istio) across AWS, Azure, and GCP. Support AI Platform Capabilities: Collaborate across business units to build scalable compute, vector indexing pipelines, and ingestion infrastructure supporting real-time GenAI and vector workloads on Helios. Production Operations & Tier-3 Escalations: Dedicate 10–20% of your bandwidth to diagnosing complex production issues, acting as the final escalation point for deep infrastructure failures, performance bottlenecks, and kernel/networking anomalies. Security & Compliance by Design: Build infrastructure that upholds our strict enterprise compliance posture, maintaining automated controls for SOC 2 Type II, ISO 27001 , HIPAA, and PCI-DSS environments. Technical Force Multiplier: Author clear RFCs/architectural design records (ADRs), mentor senior engineers, lead cross-functional reviews, and partner with Product and SRE teams to align roadmap priorities. What We’re Looking For 8–12+ years of professional software engineering experience designing, deploying, and operating distributed enterprise SaaS platforms at scale. Deep Kubernetes Expertise: Hands-on mastery of Kubernetes internals, CRDs, custom controller development (client-go/controller-runtime), scheduling dynamics, and container networking/runtime internals. Strong OO / Systems Proficiency: Expert proficiency in Go and Python with an emphasis on concurrent programming, low-latency I/O, and distributed state management. Cloud Provider Networking: Deep operational literacy in cloud networking constructs (e.g., Transit Gateways, DirectConnect/ExpressRoute, Private Service Connect, CIDR subnetting, MTLS, and load balancing). AI Platform Awareness: Practical familiarity with the compute, caching, and storage dynamics needed for real-time AI/ML pipelines, retrieval-augmented generation (RAG), and vector embeddings. Diagnostic Acumen: Proven ability to debug complex, non-deterministic bugs in production across network layers, memory allocations, and distributed consensus. Communication & Collaboration: Outstanding written and oral communication skills, with a track record of driving cross-team alignment and influencing executive-level technical strategy. Preferred Qualifications Prior experience building managed database-as-a-service (DBaaS) or data-intensive streaming infrastructure. Active open-source contributions within the CNCF or cloud-native container ecosystem. Familiarity with Infrastructure-as-Code tooling (Terraform, Pulumi, Crossplane). SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice. SingleStore’s total salary range for this role, if based in Boston, Chicago, New York, Austin, Phoenix, Las Vegas, Seattle, Washington, or Dallas is: $140,000 - $215,000 USD per year Req ID: ENG00570

Location: London, United Kingdom Senior Business Development Associate In a Nutshell Senior Business Development Associates bring ideas, initiatives, and activities that help grow our business day in and day out. They join, support, and collaborate with teams focused on specific opportunities, ensuring that the pursuit of new business is rigorous, disciplined, and ethical. They collaborate closely to craft strategies and plans and set the standard for creative excellence in business development. About IDEO London We're a global design consultancy where curiosity, empathy, and solving complex challenges drive us. For over 40 years, we've partnered with clients to innovate in healthcare, mobility, education, retail, and beyond. Here, every challenge is a chance to grow, connect, and create impact. Why is this role important for IDEO's work? Business Development is at the heart of connecting IDEO's creative capabilities with the people and organisations who need them. It's about more than winning new work. It's about understanding our clients' challenges, building trusted relationships, and helping shape opportunities where human-centred design can make a meaningful difference. Once Here You Will BUSINESS DEVELOPMENT PROCESS Prioritize your time to collaborate and support the London Studio in landing project work - with new and returning clients. Run pipeline meetings. Act as an IDEO ambassador and be the first touch point for new potential clients, ensuring a positive initial experience with IDEO. Lead and manage opportunity qualification, owning continuity of the BD process. Involve internal leadership and designers as needed for boosts and to help determine strategic fit, frame opportunities, scope programs and articulate next steps. Pull in director-level support as needed for advocating for client needs and negotiation support. Finalize pitch decks, learn the industries of our client leads by conducting research and editing proposal decks, and brainstorm client deliverable options and consulting solutions. Conduct client due diligence to help BD teams get smart and prepare for calls, creating intelligent discussion guides that help us start to build a relationship with potential clients from Day One. Monitor and communicate market trends and themes to teams on a monthly basis that can be used to help shape our thinking and offer. REPORTING Track quarterly goals pertaining to recognized revenue, monthly profit and yield marks, time to close, conversion rate, qualification rate, and win rate KPIs within the London Hub. Report back in the pipeline meetings, looking for ways to engage the team in the information and how they need to apply it. Be familiar with metrics that point towards the health of the business and be able to assist with ad-hoc reporting needs as assigned. Prepare a monthly summary of insights and thought leadership (from IDEO and beyond), including how it applies to day-to-day business, to share with key clients as a value add. DATA INTEGRITY Work with the Director/Enterprise team to ensure the CRM system is kept up to date, including our pipeline and pre-pipeline in Hubspot. Ensure that relevant documents related to BD are being stored and filed accordingly in the BD section of Google Drive (not on personal drives or Slack!). Appropriately loop in Legal, Marketing, Finance, and other functions as needed to progress an ongoing BD process. Build and maintain lists in Hubspot and LinkedIn Sales Navigator: who are our key clients, our lapsed clients, our warm contacts, the cold contacts we want to reach? Who’s engaging with our newsletters, with our LinkedIn, etc? Provide recommendations on how we might reach out to these folks. PROGRAM MANAGEMENT Exercise project management tactical skills by effectively steering the BD process for new and existing work. Proactively identify and take action on the business development process and client needs based on what we’re hearing and seeing in the pipeline meetings. Coordinate meetings with potential leads, ensure prompt and adequate follow-ups, manage legal agreement workflows, coordinate proposal research across teams, and ensure continual progress to meet client deadlines. Help the team balance meeting the needs of existing clientele with prioritizing time for proactive outreach to land new clients. Own and project manage lead generation activities, such as BD-specific mailers to LON Hub mailing lists. Support account planning activities to drive a proactive, consistent approach to client investment and development. Support the deployment of the right expertise and experience from within the hub team towards client pursuits COMMUNICATION Demonstrate persuasive and effective communication and presentation skills along with the confidence to command a room for the client and network-building meetings or events. Contribute to providing excellent team and client communication and collaboration that shows an understanding of leading with empathy, openness, and curiosity. Empower other team members to consistently gather and share inspiration, work, and learnings with teams and clients. This should come through leading by example as well as having a knowledge management system where folks can exchange and store content. Strengthen existing assets and develop new ones in collaboration with subject matter experts. Work with LON Hub Marketing to stay abreast of competitors and any impact that industry and economic changes and movements might have on our go to market positioning and offer. NETWORK BUILDING Demonstrate knowledge of the different approaches across each of our three offer sets, and understand the different areas of expertise of our design disciplines to confidently speak to our capabilities in the market. Build cross-discipline relationships across IDEO in order to effectively help generate and capture written, verbal and visual input from IDEO leadership and design teams to potential client leads. Cultivate your internal networks as well as you professional networks virtually on social media channels and live at education and industry-related associations. Support top-of-funnel growth activity including working with the Executive Director of Growth, Marketing and portfolio teams to translate targeting priorities into actionable prospect audiences and lists for campaigns, events, roadshows and other market-facing activity. EXPLORE Strengthen your foundational BD skills and capabilities, using your learning budget intentionally to build on growth opportunities identified with your business lead. Gain an understanding of GenAI and how it can support and improve the BD process, from generating client intelligence to scoring our RFP responses. Support special projects as needed and provide support on other processes and projects outside the immediate area of responsibilities as required. Assist with internal programs and initiatives to improve organizational BD efforts, as required. Be an active member of the London community, coming into the office as needed, playing a role in our core rituals, such as Tuesday Morning Meetings, participating in SASU, and attending Hub gatherings. We're looking for someone with SKILLS Minimum of 3-5 years of relevant experience in client relationship management and business development, preferably within a creative environment and/or design consultancy. Project management skills with proven ability to prioritize tasks, keep momentum and develop timelines, involve and engage stakeholders, and maintain empathy for both internal and client teams. The ability to create and deliver presentations, proposals, and other assets. Data literacy: fluent in G-suite (slides, docs, and sheets), Workday, CRM, and translating quantitative outputs into actionable qualitative insights for the business. Exceptional writing and communication skills to effectively and efficiently bridge between IDEO and its clients. Strong presentation and writing skills Ability to conduct and synthesize research Attention to Detail: Demonstrates concern for the details and their impact on the larger picture. Familiarity with a wide range of market analysis tools, data sets, and benchmarks. Comfort determining next steps in ambiguous situations with limited direction. Ready to pitch in on tasks, big or small. Volunteer and helper mindset. Desire to collaborate across various design disciplines Take chances without being afraid to fail and learn along the way Insatiable curiosity to learn more about businesses, industries, markets, and what drives them MINDSET Ground in Self-Awareness: Reflect on your biases and lenses to be more inclusive. Show Curiosity: Question accepted norms to make room to learn from more diverse voices. Lean into Vulnerability: Build trust by being open. Ask for and give consistent and timely feedback on personal performance. Be optimistic Collaborate Embrace ambiguity Talk Less, Do more Learn from failure Make others successful Take ownership What does IDEO offer you? Innovation and creativity: Dive into a variety of projects from creating breakthrough digital products and experiences, to designing new customer interactions, to building innovation capabilities – working alongside talented individuals across disciplines. Learning and growth: Whether it’s strengthening your project leadership, deepening your interaction design craft or exploring new technologies, we’re here to support your journey. Community and well-being: Collaboration and community are central to what we do. We foster moments for creativity, connection, and reflection, respecting the need for work-life balance. Projects with purpose: We partner with clients to use design as a means of realising their purpose and making a positive impact. We work 'upstream,' from defining the problem, designing possible solutions, and exploring what, why and how they might be brought to life. Compensation £55,000 - 60,000 GBP, depending on experience Location London, UK Some Previous Projects To Check Out To get a flavour of the work we do in London, take a look at these case studies: Climate action for SMBs – Designing a strategy and experience to help Sage’s SMB customers transition to net zero. Redefining retail with FEMSA – Designing Spin Premia, a digital loyalty experience connecting everyday shopping at OXXO with rewards and services. Sustainable packaging system – Helping H&M increase their sustainability and growth, by designing and scaling a universal packaging system for all of their brands. Commitment to Diversity At IDEO, we are committed to the work of advancing diversity, equity, and inclusion within our organisation and in the world. Our purpose of having disproportionate, world-changing impact through design is directly connected to our ability to bring many different perspectives to the table. This applies to our candidates, the people we hire, the clients and customers we serve, and the communities we learn from in our research. As a human-centred organisation, we are committed to working with and designing for people of every race, ethnicity, gender identity, sexual orientation, age, socio-economic status, physical ability or attribute, religion, national origin, or political belief. We recognize that this commitment requires ongoing work and sustained attention, as well as adaptation to new insights and best practices Application Requirements And Instructions If you identify with our values, are excited about great design, and would like to contribute to our community, we would love to see your CV, a cover letter and examples of your work.

• Опыт работы автоматизации на Java от 5-ти лет. • Автоматизированное тестирование web-приложений (Java, Selenium, Cucumber).

Location: Москва Разработка и поддержание в актуальном состоянии стратегической архитектуры блока технологий, затрагивающей весь ИТ-ландшафт БанкаРазработка архитектурных решений и концепций в области технической архитектуры, затрагивающей GenAI-трансформацию всего ИТ-ландшафта Банка и Экосистемы СберУчастие в разработке и реализации архитектуры ключевых стратегических решений с учетом мировых трендов развития (AI-агенты, Cloud Native, Platform Engineering и т.д.) Обязанности ### Твои задачи: * анализ бизнес-стратегии компании * разработка стратегического видения и технологической стратегии * разработка и поддержание в актуальном состоянии стратегической архитектуры * согласование стратегической архитектуры технологий с заинтересованными сторонами * разработка концептуальных архитектур проектов и иных инициативРазработка архитектурных стандартов, концепций и референсных архитектур * наполнение и актуализация архитектурного каталога в зоне своей ответственности * обеспечение актуальности и полноты архитектурного репозитория (включая описание объектов и разработку диаграмм), соблюдение КПЭ по архитектурным исключениям (технологическому долгу) * исследование рынка новых технологий, участие в тематических конференциях, адаптация новых технологий под потребности Банка. Требования ### Мы ожидаем, что у тебя есть: * высшее техническое образование * опыт работы в области разработки архитектур от 3-х лет * понимание принципов построения Cloud-Native систем, GenAI-решений, Платформ * понимание подхода, инструментов и практик DevOps, GitOps, DevSecOps, FinOps * опыт разработки приложений на Python, Java построения моделей * предпочтительно знание следующих технологий: Hadoop, Spark, DWH, СУБД (PostgreSQL), IMDG (Ignite), VectorDB, GraphDB, брокеров сообщений (MQ/Kafka), S3 * приветствуется владение одной из методологий построения корпоративной архитектуры организации (TOGAF, DoDAF, Gartner-Meta и т.д.) и практик управления IT (IT4IT, ITIL, Cobit и т.д.) * опыт руководства проектными и продуктовыми командами. Условия ### Работа в Сбере - это: * гибридный формат работы, после испытательного срока * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * 90 дней удаленной работы из любого региона РФ * льготная ипотека в Сбере * подписка Прайм с возможностью совместного использования на трёх близких.

- Развивать продажи решений и сервисов направления Data & AI на рынке Казахстана. - Выявлять и формировать спрос у существующих и новых клиентов.

• Руководство цифровыми и AI-проектами от начала до конца: от сбора бизнес-требований до сопровождения внедрения; • Сбор бизнес-требований, оценка и согласование экономического эффекта решений;

Location: Limassol, Cyprus Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is certified as a Great Place To Work® in the US, recognized as a TIME & Statista Excellent Workplace, honored with the TrustRadius Tech Cares Award for Diversity & Inclusion, and rated 4.7 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. Now we are looking for a AI Engineer (LLM focus) to build and scale the core intelligence behind Summy AI Copilot , our agentic assistant for compliance officers. This is an exciting opportunity to own a cutting-edge GenAI product, pushing LLMs beyond basic text generation to execute complex reasoning, and autonomous tasks. What You Will Be Doing: Drive Summy AI Copilot: Own the core intelligence behind our AI assistant for compliance officers, taking features from concept to production rollout and operation. Agentic Orchestration: Design and build robust, multi-turn AI agents (using frameworks like LangGraph) capable of complex reasoning, context retention, and autonomous action. LLM Observability & Evaluation: Set up comprehensive tracing, monitoring (e.g., LangFuse), and evaluation pipelines (LLM-as-a-judge) to track quality, latency, and token cost. Agentic Experience: Evolve our public MCP server and Agent Skills so that external AI agents (Claude, ChatGPT, etc) can work with Sumsub reliably and securely. Pragmatic Iteration: Start with elementary, solid baselines and iteratively scale complexity based on real-world production metrics and A/B tests. About You: Experience: 5+ years in Software/Data/ML Engineering, with 1+ years explicitly focused on building and shipping production-grade GenAI/LLM systems. In-Depth LLM Knowledge: You understand how LLMs work under the hood. You know how to push models far beyond basic text generation (e.g., structured extraction, tool calling, cost-aware routing). LLM Stack Mastery: Hands-on experience with agentic orchestration (LangChain/LangGraph) and modern LLM APIs (Claude, Gemini, OpenAI). Engineering Excellence: You write production-ready code for microservices (Java/Dropwizard), with experience in cloud deployments (GCP/AWS, Docker, Kubernetes). Ownership: You own the system from early talks with customers to operating it in production. Nice to have Background in classical NLP, traditional MLOps, or large-scale data engineering. Familiarity with compliance, anti-fraud, KYC/AML, or fintech domains. Experience shipping production RAG systems. What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Technical Interview -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location - Bengaluru, India About the team The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business. About the role We are looking for an experienced data scientist to join our Bangalore team and help scale the next generation of our AI/ML models. In this role, you will train predictive models and the workflows behind AI-driven applications, Agents, Chatbots that power teams across the company, including go-to-market, engineering, and product. Because the products we build are initiated and owned by the team, you will be involved end-to-end — from shaping requirements and designing systems to implementation, deployment, and long-term ownership. You will focus on building scalable, reliable AI/ML models, services and GenAI powered application backends,  partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products. Our stack spans multiple languages and technologies, including Python, React, and TypeScript, and continues to evolve. Many of our applications also incorporate strong AI components, giving you opportunities to work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI. What you'll do Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment. Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality. Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals. Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner. Define, implement, and train statistical, machine learning, deep learning and generative AI models. Use software engineering best practices to publish model scores/insights/learnings at scale within the company. Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends. Active role in hiring, growing, and mentoring the data scientist team in Bengaluru. Examples of desirable skills, knowledge and experience Bachelors or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields. 5+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams). fast-growing SaaS business based company is preferred. Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes (eg: customer and revenue growth) Strong experience in scientific computing using Python Experience with Spark, SQL, Tableau, Google Analytics, BigQuery (or any other Big data/Cloud equivalent) etc. Experience working with and processing structured, unstructured, and semi-structured data. Strong cross-functional collaboration experience with data engineering and data analysts teams within the function. Proven track record of applying data insights and machine learning in order to address business needs and drive revenue. Proficiency in large language models and the frameworks (Langchain, Langgraph, etc.) necessary for implementing GenAI applications, such as AI Agents, chatbots and related use cases. Strong communication and presentation skills catered to different audiences within the company. Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs. Experience in hiring data scientists and establishing team best practices is preferred. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Москва В Департамент кооперативной архитектуры (направление B2B) открыт проект по созданию и развитию платформы цифровых валют. Ищем Enterprise Architect для проектирования целевой ИТ-архитектуры, интеграции решений с корпоративными системами банка и разработки стратегии внедрения на стороне клиентов. Первый этап отбора на эту вакансию - общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram или Макс. Диалог займёт примерно 10 минут. Его задача - уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным. Обязанности * проектирование прикладных систем и принятие инженерных решений * создание и внедрение концепций и подходов в области программы * взаимодействие с бизнес-заказчиками, архитекторами всех направлений, агрегация требований, продвижение идей * управление программой в партнерстве с бизнес-заказчиком * построение архитектурного процесса проектирования и governance для программы. Требования * умение управлять архитектурой большого ландшафта (портфель проектов) * глубокое понимание современных технологий и тенденций GenAI, LLM * знание актуального технического стека (включая ИИ системы, open-source) * умение мыслить четко, структурно, от абстракций до конкретики * умение выходить за рамки, работать в нечеткой постановке * самостоятельно ставить задачи и планировать шаги к реализации * опыт работы с кодом и способность самостоятельно проверять гипотезы - будем плюсом. Условия * комфортный современный офис рядом с м. Кутузовский проспект * график – гибрид * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для * профессионального и карьерного развития * 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.

Location: Москва Команда Центра аналитических технологий (MacroVision), работающая на стыке продуктовой разработки и подготовки аналитики создаёт флагманский аналитический терминал (datatracker.pro), а также готовит общебанковские прогнозы и аналитику для руководства Банка с применением эконометрики и машинного обучения. Обязанности ### Чем предстоит заниматься: * участвовать в развитии информационно-аналитического терминала в части определения клиентского пути, создания новых фич и инструментов (в т.ч. с применением ML и GenAI), наполнение терминала аналитикой и данными * готовить общебанковский прогноз по экономике, рынкам и отраслям в части индикаторов банковского сектора, ликвидности, факторов её формирования, бюджета, индикаторов денежного и долгового рынка * готовить регулярную и ad-hoc аналитику по макроэкономической тематике для руководства Казначейства и Блока «Финансы», автоматизировать процессы по подготовке регулярной аналитики и прогнозов (в том числе с применением AI) * проводить прикладные финансово-экономические исследования с использованием эконометрики и машинного обучения, оформлять результаты в аналитические отчёты с возможностью презентации руководству банка и внешнему рынку через терминал (под вашим авторством) * участвовать в формировании базы макроэкономических/финансовых данных в формате временных рядов для информационно-аналитического терминала Требования ### Мы ждем, что Вы: * имеете высшее образование (экономика / финансы / физико-математические специальности) * имеете понимание реального, финансового, фискального, внешнего и банковского секторов экономики, а также политики ЦБ и Минфина. Опыт анализа бюджета, денежного и банковского рынков, ликвидности будет преимуществом * имеете знание линейной алгебры, матанализа, статистических методов для понимания внутреннего устройства инструментов анализа данных, а не просто вайб-кодинга * имеете опыт работы в аналогичной роли от 2 лет * имеете опыт проведения исследований на кросс-секциях, временных рядах и панельных данных с использованием Python (NumPy, pandas, SciPy, scikit-learn, statsmodels, matplotlib, seaborn, plotly) или R / MATLAB (наличие портфолио моделей будет преимуществом) * имеете опыт автоматизации вёрстки аналитических отчётов и презентационных материалов с применением LaTeX, Markdown, Quarto * имеете опыт работы и применения технологий ИИ и мультиагентных систем * английский язык — Upper Intermediate * дополнительно: знание Jira, Confluence (или готовность быстро освоить) Условия ### **Что мы предлагаем:** * комфортный современный офис на ул. Вавилова 19 * ежегодный пересмотр зарплаты, годовую премию * корпоративный спортзал и зоны отдыха * уникальную систему обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * 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 * корпоративную пенсионную программу

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Safety is central to Reddit’s mission and long-term health. Safety & Mods Data Science operates as a closed-loop system: Safety Insights helps the organization understand, measure, and prioritize risk, while Safety Enforcement Data Science builds and optimizes the models, rules, and systems that detect and mitigate abuse effectively, efficiently, and fairly. We are looking for a Senior Data Scientist to join Safety Enforcement Data Science. You will own one or more defined enforcement problem areas and translate ambiguous abuse risks and written policy into measurable signals, labels, detection approaches, actioning logic, and evaluation plans. You will work closely with Product, Engineering, Machine Learning, Policy, Safety Operations, Threat Intelligence, and Safety Insights partners to turn analysis into scaled mitigation. This is a hands-on role. You will investigate adversarial behavior, prototype and evaluate models and rules, tune decision thresholds, define launch guardrails, diagnose enforcement gaps, and monitor systems after deployment. You will also help the team use modern AI methods—including language models—where they improve detection, investigations, labeling, or operational workflows, with rigorous evaluation and appropriate human oversight. This role may involve exposure to sensitive content and participation in an incident-response on-call rotation, including occasional work outside normal hours. Responsibilities: Own the enforcement lifecycle. Lead a defined abuse or enforcement problem from problem framing and signal discovery through labels and taxonomies, model or rule development, thresholding, rollout, monitoring, and iteration. Discover and characterize abuse. Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns, emerging threats, and gaps in existing mitigations. Build and evaluate decision systems . Develop models, classifiers, scoring systems, rules, and analytical prototypes using the statistical, machine-learning, or GenAI methods best suited to the problem. Define decision-quality standards. Create evaluation frameworks that address precision, recall, calibration, coverage, robustness, fairness, user friction, reviewer capacity, and other operational costs—not model performance in isolation. Ship with engineering partners. Partner with Engineering and Safety ML to productionize promising approaches; define data and logging needs, launch guardrails, monitoring and alerting, escalation paths, and rollback criteria. Translate policy into systems. Work with Policy and Safety Operations to convert written policy and product requirements into modelable targets, labels, decision rules, reviewer workflows, and measurable enforcement outcomes. Measure real-world impact. Design staged rollouts, experiments, and observational analyses that test whether interventions reduce harm while managing false positives and downstream effects on users, communities, and operations. Respond and learn. Support investigations and urgent escalations, identify mitigation options, conduct post-incident analyses, and turn one-time findings into durable detection or monitoring improvements. Scale the team’s effectiveness. Build reusable datasets, evaluation harnesses, monitoring tools, and documentation; communicate clear recommendations to technical and non-technical partners; and mentor junior peers when opportunities arise. Stay ahead of the threat landscape. Track emerging abuse tactics and advances in detection, adversarial ML, language models, synthetic data, and human-in-the-loop safety systems, and apply them pragmatically. Required Qualifications: Education & Experience: Ph.D. with 4+ years OR Master’s degree with 8+ years* of relevant industry experience in Data Science, Applied Science, Economics, or a related quantitative role (e.g., Statistics, Computer Science, Operations Research). Applied experience in safety, enforcement engineering, fraud, or similar fast-paced, adversarial domains where data may be incomplete or evolving. Expertise in SQL and Python to write production-grade, reusable analytical code and contribute directly to data pipelines. Strong background in statistical analysis, experiment design, causal modeling, and ML techniques (e.g., classification, ranking, anomaly/pattern detection). Practical knowledge of evaluating real-world decision systems, including sampling, label quality, class imbalance, precision/recall, calibration, thresholding, drift, and monitoring. Proven ability to deconstruct ambiguous problems into scopable components, bias toward action, and drive impactful decisions alongside Product, Engineering, Operations, and Policy teams. Exceptional communication skills with demonstrated ability to convey complex technical concepts, tradeoffs, and recommendations to both technical and non-technical stakeholders. Preferred qualifications Experience in Trust & Safety, integrity, fraud, spam and abuse, account security, cybersecurity, risk, content moderation, or another adversarial domain. Experience with one or more enforcement-relevant methods such as graph or network analysis, NLP, embeddings, sequence or behavioral modeling, weak supervision, synthetic data, or human-in-the-loop evaluation. Experience applying language models to detection, investigations, labeling, reviewer assistance, or workflow automation—and measuring quality, cost, latency, and safety tradeoffs. Experience partnering with engineers to launch and monitor models or rules in production, including incident response and post-launch tuning. Experience designing prioritization or triage systems for human review operations, including analysis of reviewer quality and capacity. Experience assessing fairness, bias, privacy, and policy-aware tradeoffs in automated decision systems. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-SP1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Europe; France; United Kingdom; Spain; Germany; The Netherlands Workplace: Remote The Learning Team at ClickHouse is growing fast as more and more users discover the power of ClickHouse and its diverse use cases. As part of that growth, we want to ensure our hands-on training experience is best in class. We are looking for someone to accelerate the way we build technical content and to bring AI-powered tools and agents directly into the learning experience for our students. You will own the infrastructure that powers releases, certification exams, hands-on courses, and learning environments. You will also lead GenAI initiatives to create content more effectively and to build a broader AI-powered user experience. A TYPICAL DAY AS A CLICKHOUSE TECHNICAL CURRICULUM DEVELOPER, PLATFORM: - Manage the infrastructure that supports our Content as Code - New content PRs are thoroughly tested and easy to preview - Merged PRs are automatically released - Courses are periodically checked to ensure they are working properly - Courses are easily updated with new features - Lead the Learning team’s adoption of AI and GenAI: - build tools, prompts, and workflows to go from topic to course faster - Design and build AI-powered agents and tools for students - Evaluate new AI/GenAI capabilities and models as they emerge - Write and maintain provisioning and grading scripts for hands-on certification exams - Debugging issues that affect learners, instructors, and exam candidates - Building and running observability for everything learning: usage, failures, catalog health, dashboards, and alerts - Building and running analytics for user activity across all learning tools - Design and maintain hands-on lab environments across all training formats REQUIREMENTS: - 5+ years of experience with technical curriculum development on databases and/or distributed systems - 3+ years of experience in a technical education infrastructure or DevOps role (e.g. building and operating lab or sandbox environments) - Experience with machine learning applications and/or GenAI focused on content generation, developer tooling, and AI agents - 3+ years of experience building certification infrastructure including grading scripts for hands-on assessments - Strong scripting and automation skills, including experience with infrastructure as code, CI/CD pipelines, and GitHub - A self-motivated attitude that provides you with the desire and determination to complete projects in a fast-paced startup environment - Ability to learn new technologies quickly and effectively - Excellent communication skills, including the ability to write clear runbooks and technical documentation - You have a high level of responsibility, ownership, and accountability BONUS POINTS: - Experience with SQL - Experience with ClickHouse database - Experience with one or more Cloud Service Providers such as AWS, GCP, or Azure - Ability to work cross-functionally amongst engineering, support, product, and development teams - Technical degree (e.g., Computer Science or related field) YOU'LL LOVE THIS ROLE IF: - You thrive working at the intersection of engineering, AI, and education, building systems that directly impact how people learn - You are self-driven, curious, and eager to continuously learn and grow - You possess a mindset of teamwork, global engagement, empathy, and a drive for solving challenging problems PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote: New York City About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Role Overview At Neo4j, our Pre-Sales Engineers are pivotal to our company’s success. As a critical member of our Financial Services & Insurance go-to-market team, you will partner with our sales executives to showcase the value of our graph data platform and manage the technical aspects of the sales cycle. You will help companies in the financial sector understand and prove the value of Neo4j for critical use cases and next-generation solutions. You will grow as a thought leader and help paint the vision for how we can provide for new capabilities and solve new high-value problems beyond traditional data solutions. What Success Looks Like Developing and honing subject matter expertise to effectively discern and understand the true needs of our customers, present technology solutions that target those needs, and all in all, demonstrate thought leadership and the value of Neo4j through platform and use case demonstrations, solution architecting, workshops, and conferences. Meeting and exceeding regional revenue goals, as a result of helping Sales to qualify and validate opportunities from a technical perspective and accelerate the sales cycle and adoption of Neo4j. Collaborating effectively with Sales, Professional Services, Product Management, etc to deliver continuous value to customers and ensure a seamless customer experience as they embark on the graph journey. What You’ll Do Confidently articulate the business and technical value of Neo4j to customers and prospects as a key technical advisor and advocate for our products and services Actively drive and run the technology evaluation stage of the sales cycles. Work across a number of opportunities in parallel and manage day-to-day activities such as opportunity qualification, technical discovery, presentations, platform and use case demonstrations, proof of value, sizing, and documentation of technical decision criteria. Build and nurture rapport with customer stakeholders at all levels and be the trusted advisor to them to help them understand what they can achieve with Neo4j. Co-create reference and solution architectures with our customers, including integrating Neo4j with their existing architecture and applications within a public cloud (AWS, Azure, or GCP) or on-premise environment. Stay current on latest Neo4j capabilities, including but not limited to usage and integration with third-party tools and services. Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing, and Sales. Help drive demand through the participation in account-based marketing events as well as industry-known conferences and trade shows. Lead by example and actively foster an environment of teamwork, transparency, creativity, and continuous improvement. Travel as needed to assist in deal creation and closure, and provide support to your team as required. What You’ll Bring 5+ years of customer-facing experience in a similar capacity (Sales/Pre-sales/Solutions Engineer, Solutions Architect, Technical Consultant, etc), ideally in a similar high-growth, scaling environment. Experience working with different data technologies in either of the following areas: enterprise data architecture, data analytics, data science or cloud data architecture. Working knowledge of graph databases (Neo4j, TigerGraph, OrientDB, JanusGraph, etc) - a strong plus! Hands-on experience and proficiency with relational (SQL) and/or NoSQL databases, and at least one of the following languages: Python, Java, JavaScript or Go. Familiarity with GenAI, LLM’s and Agentic AI is a must Successful track record in designing, developing, and implementing data solutions in the public cloud (AWS, Azure, or GCP) or on-premise. Ability to engage and communicate ideas to both technical and non-technical audiences at all levels through presentations, white-boarding, and platform demonstrations. Communication skills to translate technical concepts into valuable business outcomes in the financial space. Knowledge of financial services and/or insurance required to sell the prominent role of graph DBs in their future tech strategy. Passion for learning new technologies (especially graphs!), developing new ways of data modeling, and spearheading change management. An entrepreneurial mindset, with the ability to prioritize, pivot, and problem-solve. The annual on target earnings range for this position based in the United States is listed below. This range is an estimate, and the actual on target earnings may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range. In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence. Annual On Target Earnings Range $200,000 — $265,000 USD Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Remote Workplace: remote Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.   Why This Role Is Important To Arcadia The Technical Product Manager, Life Sciences sits at the intersection of product strategy and engineering execution, embedded directly with our teams to turn complex healthcare data and platform capabilities into products our customers rely on. This role owns the technical depth of the product lifecycle while keeping the team anchored to customer value and business outcomes. You will be the connective tissue between Product and Engineering: fluent enough in the technical stack to make real-time tradeoff decisions with engineers, and disciplined enough in product craft to keep the roadmap grounded in customer impact. This is a hands-on, technical product role for someone energized by the details of how things work, not just what gets shipped. What Success Looks Like In 3 Months Develop working fluency in Arcadia's platform architecture, data model, and the technical stack of your assigned engineering team. Build trusted, credible working relationships with your engineering counterparts, joining sprint ceremonies and grooming sessions. Take ownership of a product area's backlog and begin active prioritization grounded in customer and technical impact. Demonstrate the ability to hold your own in a technical conversation about pipeline architecture, data, or implementation tradeoffs. In 6 Months Ship one or more meaningful product increments in close partnership with engineering, on a predictable delivery cadence. Establish clear product and delivery metrics, and use them to guide prioritization and stakeholder reporting. Be a go-to resource for engineering on requirements clarity, scope tradeoffs, and customer context. Lead structured technical discovery (data investigation, feasibility checks, pipeline architecture discussions) that informs roadmap decisions. In 12 Months Be recognized as the product owner and technical subject-matter expert for your portfolio, trusted by engineering and business stakeholders alike. Drive roadmap strategy that balances near-term delivery with long-term platform scalability and technical health. Proactively identify and act on opportunities to reduce technical debt, improve data quality, or unlock new technical capability. Mentor peers on how to work effectively with engineering teams and contribute to broader product-engineering process improvements. What You'll Be Doing Own product strategy and roadmap for a defined portfolio within Arcadia's platform, partnering day-to-day with an embedded engineering teams through the full SDLC. Translate business goals, customer needs, and technical realities into clear requirements, acceptance criteria, and well-scoped increments engineering can execute against. Engage deeply with engineering on data pipeline, data models, and enrichment asking the right technical questions and making informed calls when priorities conflict. Run and participate in agile ceremonies: backlog grooming, sprint planning, sprint reviews, and incident/RCA reviews, ensuring engineering has what it needs to move fast without losing quality. Deconstruct ambiguous or large-scale goals into MVPs and iterative delivery plans, adjusting scope based on technical constraints and customer feedback. Use SQL and product/data instrumentation to self-serve answers, validate hypotheses, and make data-informed prioritization decisions. Replicate, triage, and help troubleshoot complex product issues alongside engineering, escalating and documenting bugs and workarounds as needed. Communicate roadmap progress, technical risks, and tradeoffs clearly to both technical and non-technical stakeholders. Partner with agentic designers, operations, commercial, marketing, and analytic teams to ensure what engineering ships is adopted and drives measurable value. Advocate for a healthy balance between shipping new capability and managing technical debt, performance, and platform scalability. What You'll Bring Education Bachelor's Degree in Computer Science, Data Science, Statistics, or a related field (or equivalent professional experience) Experience 4–7+ years of product management experience, with meaningful time spent working shoulder-to-shoulder with engineering teams in Agile/Scrum environments. Proven track record taking products from requirements through SDLC to launch, including scoping MVPs and iterating post-launch. Experience engaging in real technical tradeoff discussions architecture, APIs, data flows, scalability, and implementation approach. Healthcare, health-tech, or complex B2B data/SaaS experience strongly preferred; population health, value-based care, or interoperability experience is a plus. Technical Fluency Hands-on SQL proficiency, comfortable writing queries to self-serve analysis and validate product decisions. Working understanding of database and data-platform technologies (e.g., Snowflake, cloud data warehouses) and how data model design affects product capability. Comfort partnering with engineers on API design, system architecture, and technical constraints without needing everything translated into non-technical terms. Qualities & Skills Strong ownership mentality with a bias toward action and hands-on execution. Excellent written and verbal communication; able to move fluidly between engineering detail and executive-level summary. Comfortable operating in ambiguity, breaking large problems into deliverable increments. Calm, confident facilitator of trade-off conversations across product, engineering, and business stakeholders. Attention to detail and a commitment to clear, current documentation. Would Love For You To Have Experience with healthcare data standards or interoperability frameworks (e.g., FHIR) and regulatory-grade data environments. Exposure to AI/ML or GenAI-enabled product capabilities, including retrieval-augmented generation, automation, or predictive analytics. Experience with BI/visualization tools (Tableau, Power BI, Looker, or similar) and large-scale data platforms (Snowflake, Redshift, Databricks, or similar). A background in a hard science (math, statistics, computer science, or engineering) or prior experience as a software engineer or data analyst. What You'll Get The chance to work shoulder-to-shoulder with a team of extremely talented, dedicated engineers and product builders. Deep, focused exposure to Arcadia's platform architecture, data model, and engineering practices. Be part of a mission-driven company transforming healthcare by changing the way patients receive care. A flexible, remote-friendly company with personality and heart. Employee-driven programs and initiatives for personal and professional development. Membership in the Arcadian and Barkadian community. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

​​​​Исследование и внедрение современных архитектур, а также подходов к обучению моделей. Разработка AI-агентов прогнозирования.