Вакансии

— разработка сервисов и API мультиагентной системы; — извлечение данных из чертежей и техдокументации: OCR, VLM, парсинг PDF, DWG/DXF и сканов;

Location: Espoo Workplace: OnSite ROLE HIGHLIGHTS - Quality Assurance Technician - Assembly, Integration & Final Inspection - Location: Espoo, FI - Department: Product & Mission Assurance - Reports to: Reliability Engineer - Employment type: Permanent - Workplace model: Production floor/Cleanroom - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As a Quality Assurance Technician you are the independent set of eyes between our production line and orbit. You will perform in-process and final inspections of electronic and mechanical assemblies, verify that every integration step is carried out to procedure, and carry out the final inspection of completed satellites before they leave for environmental testing and launch. You will witness mandatory inspection points (MIPs), confirm workmanship against IPC and ECSS requirements, check torque, bonding, harness routing, connector mating and cleanliness, and make sure the build record is complete and audit-ready. Embedded within the production and AIT (Assembly, Integration and Test) environment, you will work in cleanrooms with ESD-sensitive flight hardware. Working closely with Production, AIT Engineering, Reliability Engineering, Mission Assurance and Supply Chain, you will catch defects before they move downstream, prevent quality escapes, and help every satellite we ship meet space-grade standards. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Perform in-process inspections of electronic assemblies (PCBAs, harnesses, cable assemblies, units, etc.) - Perform in-process and final inspections of mechanical and composite assemblies against drawings, inspection plans and work instructions - Support preparation of acceptance data packages and similar traceability tasks as assigned - Witness and sign off inspection points and key integration steps at subsystem and satellite level, - Carry out final inspection of completed satellites before handover to environmental testing, shipment and launch campaigns, confirming configuration, workmanship, cleanliness, and more - Verify build records, travellers and as-built configuration in the MES and ERP systems - Raise non-conformances (NCs), quarantine affected hardware, support root cause analysis (RCA) and Material Review Board (MRB) activities, and follow up on corrective and preventive actions (CAPA) - Provide immediate feedback to production and AIT teams on recurring workmanship issues and process improvement actions - Monitor cleanroom, ESD and FOD (foreign object debris) controls in production and AIT areas, and flag deviations - Ensure inspection tools and measurement equipment are calibrated, maintained and used correctly - Review and provide feedback on inspection plans, work instructions and control plans, and contribute to continuous improvement initiatives WHAT WE'RE LOOKING FOR Must haves: - Conversational level of spoken and written English - Minimum 3 years of experience in quality control or quality assurance roles within aerospace, defense, or high-reliability manufacturing environments, including hands-on inspection of both electronic and mechanical assemblies - Use of inspection tools (e.g., microscopes, calipers, micrometers, gauges, torque tools, multimeters, milliohm meters) - Ability to read and interpret technical drawings assembly drawings, schematics, harness diagrams, Bills of Materials (BOMs) and inspection plans - Knowledge of measurement principles and calibration requirements - Experience working in cleanroom and ESD-controlled environments - Strong attention to detail and the confidence to stop work and raise an issue when something is not right Nice to haves: - Current IPC certifications (CIS or CIT) in IPC-A-610, J-STD-001 or IPC/WHMA-A-620 - Knowledge of ECSS standards, e.g. ECSS-Q-ST-70-08 (manual soldering), ECSS-Q-ST-70-61 (PCB assembly) and ECSS-Q-ST-20 (quality assurance) - Experience with satellite or spacecraft AIT, including mechanical integration, harness integration and launch campaign preparation - Familiarity with AS9100 quality management systems, NC and CAPA processes, and First Article Inspection (AS9102) - Hands-on experience inspecting composite parts and knowledge of composite manufacturing processes - Ability to read GD&T drawings per ISO standards - Proficiency with defect recognition to IPC-A-610 and working knowledge of IPC/WHMA-A-620 for cable and harness assemblies - Experience with ERP and MES systems in production environments APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager General Interview - Onsite Technical Interview/Peer Review, including a Technical Challenge WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is dependent on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us; we'll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a full-time remote opportunity. We are considering candidates from US and Canada only (EST time zone). The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In US, the base compensation range for this role is USD $167,000 - $209,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Задачи: — разрабатывать бэкенд для десктопных и веб-приложений, включая рабочее место оператора и личный кабинет владельца БВС; — проектировать и создавать микросервисы для сбора и обработки данных в реальном времени; — программировать обработку видеопотоков с использованием GStreamer; — оптимизировать производительность кода через компиляцию в нативный код с помощью GraalVM и обеспечивать работу ПО на встраиваемых вычислителях с архитектурой ARM; — взаимодействовать с командой, включая руководителя проекта, системного аналитика, дизайнера и QA; — понимать аппаратную часть и сотрудничать с инженерами, embedded-программистами и испытателями; — видеть результаты своей работы в реальных условиях эксплуатации. Требования: — быстро осваивать новые предметные области; — эффективно работать в кросс-функциональных командах; — применять лучшие практики кодирования; — знать стандартные алгоритмы и структуры данных и использовать их на практике; — иметь опыт работы с различными базами данных и быть готовым изучать новые подходы; — использовать Spring Framework (boot, data), желательно иметь опыт с Micronaut. Преимущества: — опыт реактивного программирования на Java (Reactor, RxJava); — опыт кроссплатформенной разработки десктопных приложений, включая автообновление, миграцию БД и выпуск дистрибутивов; — уверенное владение Linux, включая семейство Astra; — знание других языков программирования, таких как Golang и Python; — опыт контейнеризации приложений и настройки CICD, особенно в отсутствие девопса. Компания Геоскан занимается разработкой и производством беспилотных авиационных систем и малых космических аппаратов, применяемых в промышленности, образовании и индустрии развлечений. Команда работает над экосистемой наземного ПО для управления беспилотниками, взаимодействующим с техникой компании.

Требования: — Необходим опыт работы с Python, SQL, PyTorch, Scikit-learn и Pandas. — Практические навыки использования FastAPI и Pydantic. — Опыт полного цикла разработки ML-моделей: от постановки задачи и подготовки данных до внедрения в production и поддержки. — Знание техник оценки ML-моделей, включая time-aware validation, backtesting, holdout datasets, calibration и error analysis. — Опыт создания CI-based regression suites для контроля качества моделей. — Навыки работы с model serving, MLOps, experiment tracking, model registries и контейнеризацией. — Опыт мониторинга моделей, выявления data drift и model degradation, а также организации переобучения. — Понимание вопросов data privacy, PII и тестирования на утечку приватных данных. — Опыт uncertainty quantification и работы с prediction intervals. — Дополнительным плюсом будут знания embeddings, retrieval systems, synthetic data generation, differential privacy, geospatial data, LangGraph, Airflow, Step Functions, а также опыт в сфере недвижимости и финансов. Задачи: — Разработка и внедрение ML-моделей для прогнозирования occupancy, headcount, rent и финансовых показателей. — Оценка качества моделей, проведение backtesting и анализ ошибок. — Разработка и поддержка ML-сервисов, API и MLOps-процессов. — Мониторинг production-моделей, контроль drift и degradation, организация переобучения. — Работа с embedding и retrieval-системами, synthetic data pipelines. — Взаимодействие с командами Product, Platform Engineering и Data Platform. Условия: — Только для фрилансеров, аустафф и рекрутинговые компании не рассматриваются. Требуемый уровень английского языка: B2. Опыт работы: от 5 лет на позиции Senior с навыками Python и SQL. География: LATAM.

Location: USA Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior / Staff Data Engineer to build what the Agent Assist provider calls: the Bedrock Knowledge Base configuration, the OpenSearch Serverless collection, the versioned retrieval API, and the quality dashboard. You’ll own the retrieval workstream end to end, paired with the ingestion engineer, with technical direction from the Solution Architect. This role carries the most technical risk in the engagement — entitlement filtering is a severity-one commitment. The mission: ship a retrieval API that returns the right passages, with citations, only to callers entitled to see them, at a latency and cost the client accepts, and that the client can version and operate after week 10. WHAT YOU’LL DO - Stand up the Bedrock Knowledge Base and OpenSearch Serverless vector collection in the client’s account from infrastructure code, with the embedding model, chunking strategy, and metadata fields the architect specified. - Implement hybrid retrieval — vector plus keyword — with metadata filtering by taxonomy, source, status, and review date; tune top-k, score thresholds, and reranking against the golden question suite. - Build the retrieval API on API Gateway and Lambda per the Integration Blueprint — versioned paths, authentication for the Agent Assist provider, per-client rate limits and usage metrics, structured error responses, and a citation payload with source URL, title, section, and last modified date. - Enforce entitlement at query time by filtering on permission metadata the ingestion pipeline captures — no restricted passage is ever returned to an unentitled caller. - Provide the Bedrock retrieve-and-generate reference endpoint used for pilot validation in weeks 7–9. - Build the quality dashboard — relevance, grounding, and citation scores trended per run; permission test results; freshness lag per source; API latency and error rate; OpenSearch capacity. - Support the contact center pilot in weeks 7–9 — capture retrieval misses, tune, and re-run the suite before each change ships. - Write the retrieval and API runbooks including model change, re-embedding, and index rebuild procedures with cost implications. - Pair with client platform owners in weeks 9–10 and hand over on the transition readiness checklist. REQUIRED SKILLS & EXPERIENCE - 4+ years as a software or ML engineer, with at least one RAG or enterprise search system delivered to production and measured with an evaluation suite — not just demos. - Hands-on with Amazon Bedrock — Knowledge Bases, Retrieve and RetrieveAndGenerate APIs, embedding models — and Amazon OpenSearch Serverless vector search including hybrid queries and metadata filters. - Python, with experience shipping Lambda-based APIs behind API Gateway including auth, versioning, and throttling. - Infrastructure-as-code with Terraform or AWS CDK and CI for deployment into a client-owned account. - Practical understanding of chunking, embedding model selection, reranking, and the trade-offs between relevance, latency, and cost. - Experience building operational dashboards in CloudWatch or an equivalent tool. PREFERRED QUALIFICATIONS - AWS Certified Generative AI Developer Professional or AWS Certified Machine Learning Engineer Associate. - Experience with RAG evaluation frameworks and metrics — faithfulness, context precision and recall, citation accuracy. - Experience integrating with a contact center Agent Assist product as an API provider. - Familiarity with Bedrock Guardrails and permission-aware retrieval patterns over Microsoft 365 content. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: USA Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Solution Architect to own the technical design and outcome of an AWS-native retrieval platform engagement — architecture, security design, API contract, cost model, and technical risk. You’ll produce a design a client’s IT and Security teams approve, defend it through kickoff and delivery, and serve as the escalation point for engineers through hypercare. This is a principal-level role. You make decisions the engineers execute without relitigating them, and you defend those decisions to client IT, Security, and the Agent Assist provider. WHAT YOU’LL DO - Produce the target architecture for Amazon Bedrock Knowledge Bases with OpenSearch Serverless as the vector store, S3 as the landing zone, and the retrieval API on API Gateway and Lambda — and get it approved by client IT and Security by end of week 2. - Define the security design: IAM roles and least privilege for every pipeline and API component, encryption at rest and in transit, VPC and endpoint posture, secrets handling for external credentials, and an entitlement-aware permission model for retrieval. - Own the retrieval API contract and Integration Blueprint the Agent Assist provider builds against — request and response schema, versioning policy, authentication, rate limits, error semantics, and citation payload. - Decide and document the chunking, embedding model, hybrid search, and metadata filtering strategy including the cost model for OpenSearch Serverless minimum capacity, embedding on ingest, and re-embedding on model change. - Run the end-of-Phase-1 re-baselining checkpoint from the technical side — validate inventoried content volumes against the design and flag any change control triggers. - Cross-review the Knowledge Management Lead’s taxonomy and metadata model to ensure what stewards tag is what the index can filter on. - Author the operations design — CloudWatch metrics and alarms for connector sync health, ingestion failures, API latency, error rate, OpenSearch capacity, and retrieval quality regressions; review every runbook before handover. - Lead the transition readiness review in weeks 9–10 and sign the readiness checklist jointly with the client. REQUIRED SKILLS & EXPERIENCE - 10+ years in software or cloud engineering, including 5+ years designing production systems on AWS and at least two complete generative AI or search retrieval deliveries on Amazon Bedrock or Amazon OpenSearch. - Hands-on with Bedrock Knowledge Bases data sources and sync, OpenSearch Serverless vector collections, API Gateway, Lambda, IAM policy authoring, KMS, and CloudWatch. - Experience designing permission-aware retrieval over Microsoft 365 content — SharePoint and Teams via Microsoft Graph with Entra app registration — or an equivalent enterprise content platform. - A track record of writing architecture and API documents that a client’s security team approved on first or second review. - Experience as the named technical lead on a fixed-fee or fixed-scope engagement of 8–16 weeks. - Able to present to CIO or VP-level audiences and to interview with the client before kickoff. PREFERRED QUALIFICATIONS - AWS Certified Solutions Architect Professional and AWS Certified Generative AI Developer Professional. - Prior work with Oracle B2C Service (RightNow) knowledge APIs or Sitecore content APIs. - Experience with contact center Agent Assist integrations from any major provider. - Familiarity with SOC 2 or ISO 27001 control language. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

• Разработка и поддержка веб‑приложений на Python и React. • Проектирование и внедрение AI‑функций: интеграции LLM, RAG‑пайплайны, AI‑ассистенты и поиск по базе знаний.

Location: Remote 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. About the Role Alpaca is looking for a collaborative and detail-oriented Due Diligence Analyst - Americas (ET hours) to join our Risk team. In this role, you will support the onboarding of new partners, including international fintechs and financial institutions, by helping ensure that required due diligence, risk, compliance, and AML standards are met before launch. This is a hands-on, partner-facing role that sits at the intersection of risk management, third-party due diligence, compliance, operations, and project execution. You will help evaluate prospective partners, review key documentation, coordinate internal requirements, and guide partners through the onboarding process. The ideal candidate is organized, analytical, comfortable communicating with external stakeholders, and able to manage multiple onboarding workstreams in a fast-paced environment. What You’ll Be Doing: Support due diligence reviews for new and existing partners, including fintech companies, financial institutions, vendors, and other third-party service providers. Communicate regularly with prospective and onboarding partners globally to help them understand requirements, timelines, and outstanding documentation needs. Conduct and support third-party risk management processes, including KYC, KYB, enhanced due diligence, policy and procedure reviews, customer onboarding flow reviews, and risk assessments. Review partner-provided documentation for completeness, consistency, and potential risk indicators. Track partner onboarding progress, follow up on outstanding items, and help ensure required documents are submitted ahead of launch deadlines. Respond to partner questions related to the onboarding and due diligence process, escalating requests or issues as appropriate. Work closely with internal teams, including Operations, Compliance, AML, Legal, Product, and Project Management, to ensure partner integrations meet internal requirements. Identify process gaps, recurring partner questions, or documentation issues, and contribute to improvements in the partner onboarding and diligence process. Maintain accurate records of diligence reviews, decisions, approvals, and supporting documentation. What You’ll Need: Experience: 2–3+ years of experience in risk management, operational risk, third-party risk, compliance, AML, financial crime, or related functions within financial services, fintech, brokerage, or another regulated industry. International Mindset: Comfort working with international partners and reviewing diligence materials across different jurisdictions and regulatory environments. Analytical Skills: Strong critical thinking skills with the ability to identify anomalies, inconsistencies, gaps, and potential risk indicators in documentation, data, and partner responses. Organizational Skills: Strong project management and prioritization skills, with the ability to manage multiple partner onboarding processes simultaneously. Communication Skills: Excellent written and verbal communication skills, including the ability to explain requirements clearly to external partners and internal stakeholders. Cross-Functional Collaboration: Ability to work effectively across Risk, Compliance, AML, Operations, Legal, Product, and Project Management teams. Proactive Ownership: A self-starter mindset with strong accountability, sound judgment, and the ability to operate independently in a rapidly evolving environment. Education: Bachelor’s degree in Finance, Business, Economics, Risk Management, Criminal Justice, International Relations, or a related field. Nice to Haves: Familiarity with financial services regulatory expectations, including BSA/AML, KYC, KYB, enhanced due diligence, and third-party risk management practices. Experience supporting partner, vendor, or third-party onboarding in a fintech, brokerage, payments, banking, or financial services environment. Understanding of operational resilience, business continuity, cybersecurity, data protection, or outsourcing risk frameworks. Experience reviewing policies and procedures related to AML, sanctions, customer onboarding, fraud, compliance, or operational controls. Familiarity with broker-dealer, introducing broker, or embedded finance models. Experience using case management, GRC, CRM, or project tracking tools. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: 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: As a Customer Success Manager at Alpaca, you are the front line in our pursuit of enabling financial markets access for everyone on the planet. You'll work with our partners (customers) from contract signature through renewal, ensuring they have a positive experience leading to successful outcomes. Reporting to the Director, Success, this role supports Alpaca's B2B brokerage and crypto offerings, helping customers launch and scale US securities and crypto trading applications worldwide. We're looking for someone who brings hands-on experience in the brokerage, crypto exchange, or trading-platform industry and understands the unique operational, regulatory, and technical challenges of supporting customers in financial markets. Things You Get To Do: Act as the primary contact for B2B/enterprise customers, accountable for building and maintaining strong relationships with key contacts throughout the customer lifecycle Ensure customer satisfaction, retention, and success Manage escalations, internally and externally, with a focus on customer empathy Maintain regular contact with customers to understand their business priorities, monitor their progress toward achieving key results, and continually identify and mitigate risks (relationship, commercial, etc.) Work with partners to accurately forecast growth and identify and monitor progress toward shared goals Drive adoption of Alpaca features (new and existing) among our Live Partners Identify and disseminate best practices and pitfalls Represent the partner internally across multiple groups, including Marketing, Product, and Operations Maintain positive relationships, internally and externally, to drive overall success and overcome obstacles Provide internal communication and reporting on overall account status, health, and risk Develop a success strategy for ensuring customer success Identify areas and consider solutions for improvement and optimization within Alpaca Deliver QBRs and executive reports that align customer goals with platform outcomes Serve as a trusted advisor to customers’ leadership teams, aligning Alpaca capabilities with their go-to-market strategy Own the full customer lifecycle post-signature, including onboarding, activation, expansion, and renewal Collaborate cross-functionally with Product, Sales, and our Broker-Dealer to leverage process understanding, champion partner needs, and influence roadmap priorities Perform ad-hoc duties and responsibilities as assigned Who You Are (Must-Haves): 4–6 years of experience in a customer success role managing customer relationships Direct professional experience working at a brokerage, broker-dealer, crypto exchange, or trading platform Hands-on understanding of brokerage or crypto trading operations, including customer onboarding, account funding, trading workflows, and the operational or compliance challenges associated with financial markets Comfortable working US hours (ET) in a remote setup Understanding of and experience with key technology concepts, such as SaaS and APIs FinTech experience, especially within the broker-dealer business Experience working with both large and small companies A dedicated interest in Alpaca's mission to enable financial services access to everyone on the planet Ability to work remotely and independently and to self-manage time and obligations Flexibility to jump in where and when needed to help drive Alpaca's growth Desire to learn Ability to manage customer relationships across companies of various sizes A team player who thrives on ownership, transparency, and being relentlessly partner-first. We move fast, support each other, and aim to grow together. Who You Might Be (Nice-to-Haves): Experience supporting B2B brokerage-as-a-service, embedded investing, or trading API platforms Familiarity with US securities brokerage infrastructure, including clearing, custody, settlement, and broker-dealer compliance. Experience supporting API integrations or technical onboarding for trading applications. Experience working with international B2B clients or fintech partners launching financial products across multiple markets. Experience managing institutional trading customers or strategic fintech partnerships. Startup mindset suited to a fast-paced, high-growth environment. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Georgia On behalf of NDA, SaaS e-commerce , SD Solutions is looking for a talented Senior MLOps Engineer (Data & ML Platform) based in Georgia (Tbilisi) to join our growing team. You’ll own the data that Falcon’s offer-ranking model learns from: the raw sources, the pipelines, the training tables, and the monitoring around them. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: What you’ll do: Own the ML data pipelines: build and run batch pipelines on Spark and Databricks, from raw data to feature and training tables, including enrichment and backfills for late-arriving data. Onboard new data sources: bring in internal databases, external APIs, partner feeds and web data, and match them to Falcon’s own entities. Use LLMs inside pipelines: add LLM steps to batch jobs, such as turning text into embeddings and structured attributes. Keep training and serving consistent: make sure features match between training and the live inference service, which includes reading its Java code. Monitor data and model inputs: run scheduled data quality checks and Grafana alerts that catch bad data before it reaches the model, and find the root cause when something breaks. Ship like an MLOps engineer: deploy pipelines through CI/CD (GitHub Actions, Docker, AWS) with proper secrets handling, and keep run time and cost under control. Work with AI agents: coding agents write most of Falcon’s code. You’ll decide where agents fit, then check their output on row counts, distributions and edge cases before anyone relies on it. Requirements: 5+ years in data engineering, MLOps or ML platform roles, with pipelines you’ve run in production Production Spark: complex transformations, window functions, large joins, partitioning, and tuning for shuffles and skew. Databricks (jobs, Delta tables) is a big plus. Production Snowflake: SQL, loading and unloading, and cost management Large data volumes: hundreds of millions of rows a month, with incremental loads and backfills that keep run time and cost under control Strong Python: clean, tested code; Spark UDFs including pandas UDFs; pandas and PyArrow Data quality and monitoring: quality checks, drift and anomaly detection, and alerts people can act on Deployment: GitHub Actions, Docker, AWS (S3, IAM) and proper secrets handling Backend engineering: comfortable working in a service codebase, not only in notebooks and SQL AI-first habits: you already use coding agents daily and look for what to automate Fluent English and based in Georgia Nice to have: MLflow and feature stores Airflow or Databricks Workflows Kafka or Spark Structured Streaming Terraform DBT Scala for Spark Reading Java Time-based splits and preventing data leakage in training sets Ad-tech or e-commerce data experience About the company: NDA helps eCommerce brands boost revenue with highly relevant and rewarding post-purchase offers. Our platform delivers personalized offers to customers right after checkout, driving repeat purchases and increasing lifetime value through seamless integrations and data-driven insights By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Москва Мы ищем ведущего инженера-исследователя для разработки носимых устройств с регистрацией физиологических сигналов. Команда создает сенсорные решения, где критически важны качество и воспроизводимость регистрации sEMG и PPG — от выбора электродов и требований к электронике до экспериментов с участниками. В роли предстоит работать на стыке прикладных исследований, аппаратной разработки и ML, влияя на ключевые архитектурные решения прототипа. Мы ищем специалиста, который умеет самостоятельно вести исследовательскую задачу до проверяемого результата и формировать технические требования для смежных команд. Обязанности * Планировать исследования: формулировать гипотезы, выбирать методы измерения и критерии качества, проводить эксперименты и обосновывать следующие шаги * исследовать сенсоры, материалы, геометрию, расположение, число каналов и прижим, добиваясь устойчивого контакта и комфортного ношения при движении и повторном надевании * совместно с HW-инженерами выбирать и проверять аналоговый измерительный тракт: входной импеданс, шум, усиление, полосу, частоту дискретизации, подавление синфазных помех и устойчивость к смещению потенциала электродов * собирать и отлаживать измерительные стенды, сравнивать покупные платформы и собственные модули * разрабатывать обработку сигналов и оценку их качества * совместно с ML-командой оценивать различимость результатов, вклад каждого сенсора и потребность в калибровке, разбирать ошибки распознавания и проверять перенос результатов на новую ревизию устройства * формировать требования к сенсорной части прототипа и рекомендации по компонентам, анализировать публикации и документацию поставщиков, фиксировать протоколы, измерения и основания архитектурных решений. Требования * Опыт не менее трех лет в разработке измерительных систем, биомедицинской инженерии или прикладных исследованиях, включая практические проекты по регистрации сенсорных сигналов * понимание физиологии мышечной активности и формирования поверхностной ЭМГ, анатомии кисти и предплечья, влияния размещения электродов и состояния контакта на регистрируемый сигнал * опыт проведения воспроизводимых экспериментов с участниками: протокол, разметка, контроль условий, повторные измерения, оценка вариативности между людьми и сессиями * умение оценивать шум, насыщения, качество контакта и стабильность каналов, связывать эти показатели с пропусками и ложными командами совместно с ML-командой * способность самостоятельно вести исследовательскую задачу до проверяемого результата * умение формулировать требования для HW и embedded-команд * навыки критического чтения научных статей и технической документации на английском языке. **Будет плюсом:** * Практический опыт работы с сухими электродами и многоканальной sEMG на запястье или дистальном предплечье, участие в создании и проверке физического стенда или носимого прототипа * опыт разработки миоэлектрических интерфейсов, протезирования, реабилитационных устройств, практический опыт короткой калибровки и адаптации к повторному надеванию * знание аналоговой электроники для слабых биопотенциалов: дифференциальные измерения, шум, динамический диапазон, помехи, заземление и экранирование * умение самостоятельно работать с осциллографом, генератором и системами сбора данных, читать схемы, локализовать аппаратные причины плохого сигнала, понимание безопасной организации измерений на человеке * публикации, аспирантура или PhD в биомедицинской инженерии, нейрофизиологии, электронике или обработке сигналов * опыт работы с научными и R&D-командами * 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 * Комфортный офис на Кутузовском пр.32 * гибридный формат работы * конкурентная компенсация (оклад и премии по результатам деятельности) * ДМС с первого рабочего дня, страхование от несчастных случаев и тяжелых заболеваний * материальная помощь и социальная поддержка, корпоративная пенсионная программа * дисконт-программы от компаний-партнеров * бесплатный фитнес на территории работодателя * подписка Прайм с возможностью совместного использования на трех близких * внешнее и внутреннее профессиональное обучение: семинары, тренинги, конференции, корпоративная библиотека.

Location: San Francisco, CA, USA About the Role We are hiring for a Sr. Product Marketing Manager for Chime’s Lending product ecosystem. In this role, you’ll own how we bring to market and position Chime’s growing personal loan product to deliver clear, compelling value for our members. This is an individual contributor role reporting to the Head of Product Marketing, Lending. You’ll partner closely with Product, Risk, Legal, and Growth to shape product narrative, influence roadmap decisions, and drive responsible adoption. This role sits at the intersection of growth and financial responsibility, requiring strong strategic thinking, cross-functional leadership, and the ability to balance business impact with member trust and regulatory considerations. In this role, you can expect to Own and execute go-to-market strategy for Chime’s personal loan product, from launch through iteration and scale. Establish best practices and frameworks for repeatable, high-quality product launches Develop clear, differentiated positioning and messaging that drives customer understanding and adoption Drive cross-functional alignment across Product, Growth, Brand, and Analytics to ensure cohesive execution Influence product strategy and roadmap through customer insights, market understanding, and competitive analysis Own business outcomes: Improve product adoption, engagement, and retention through data-informed marketing strategies Partner with Growth and Lifecycle teams to ensure effective multichannel execution and performance optimization To thrive in this role, you have 6–10+ years of experience in product marketing with at least 3+ years of consumer lending or regulated financial services experience, including exposure to credit risk, underwriting and loan servicing A track record of owning end-to-end go-to-market strategy - segmentation, funnel optimization and measurable business outcomes in a performance-driven environment Strong grounding in product marketing fundamentals: audience insights, competitive intelligence, targeting, positioning, value propositions, messaging, acquisition / engagement plan development Experience partnering cross-functionally with Product, Growth, Credit Risk, Brand, Analytics, Legal and Compliance A demonstrated ability to lead through influence and drive cross-functional alignment and execution The ability to translate complex product capabilities into clear, compelling customer narratives A strong analytical mindset with experience using data to inform strategy and measure impact #LI-Onsite #LI-AM1 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 $150,000 — $208,000 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, NY Workplace: Hybrid ABOUT THE COMPANY Rain makes the next generation of payments possible across the globe. We’re a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you’re curious, bold, and excited to help shape a borderless financial future, we’d love to talk. OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. THE ROLE We're hiring a Product Compliance Manager to make sure every product Rain ships is compliant by design. You'll sit between Product, Engineering, Legal and Compliance, turning regulations and card network rules into clear product requirements before code is written, not after launch. Rain moves fast: partners go live in weeks, and new products like embedded wallets, credit and prepaid programs, and agent-issued virtual cards keep coming. You'll own the compliance review that lets that speed hold up with regulators, the networks, our bank partners and auditors. WHAT YOU'LL DO - Own product compliance reviews. Assess new products, features and partner programs end to end, from PRD to launch, and sign off on the compliance requirements each one needs. - Translate rules into requirements. Turn regulations and network rules into concrete specs, controls and acceptance criteria that Product and Engineering can build against. - Keep card programs network-compliant. Own adherence to Visa and Mastercard operating rules as a Principal Member, including program approvals, network registrations and periodic attestations. - Cover consumer protection. Apply Reg E, Reg Z, TILA, UDAAP, ECOA and state requirements to cardholder agreements, disclosures, fees, rewards and dispute flows. - Review partner programs. Assess partner use cases, marketing materials, cardholder terms and onboarding flows before launch, and monitor them after. - Partner with Financial Crimes. Make sure KYC/KYB, sanctions screening and transaction monitoring requirements are built into products such as wallets, payouts, onramps and offramps. - Track the landscape. Follow stablecoin, payments and money transmission developments in the US and abroad, including federal stablecoin rules and MiCA, and flag what changes our roadmap. - Build the program. Maintain product compliance policies, the review process, a product risk inventory and the evidence trail that bank partners, networks, regulators and auditors ask for. WHAT WE'RE LOOKING FOR - 5+ years in product compliance, regulatory compliance or a similar role at a fintech, card issuer, program manager, sponsor bank or payments company. - Hands-on knowledge of card issuing: Visa and/or Mastercard operating rules, prepaid and credit programs, and the issuer–processor–program manager model. - Working knowledge of US consumer financial regulation, including Reg E, Reg Z, UDAAP and state money transmission rules. - A track record of reviewing products before launch and writing requirements that engineers actually build from. - Sound judgment on risk: you know when to say "yes, if" and when to say no, and you can explain both. - Clear writing for very different readers, from an engineer's ticket to a bank partner's due diligence questionnaire. NICE TO HAVE, BUT NOT MANDATORY - Experience with stablecoins, digital assets or crypto-linked card programs. - Exposure to international regimes such as MiCA, UK FCA rules or APAC payments licensing. - Background at a Principal Member issuer or sponsor bank, including network audits or bank partner exams. - Familiarity with BSA/AML, OFAC and FinCEN requirements. - A JD or a certification such as CAMS or CRCM. - Comfort reading API docs and working inside tools like Linear, Jira or Notion. THINGS THAT ENABLE A FULFILLING, HEALTHY, AND HAPPY EXPERIENCE AT RAIN: - Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off. - Flexible working ☕ We support a flexible workplace. If you feel comfortable at home, please work from home. If you’d like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment. - Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental, and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan. - Retirement goals💡Plan for the future with confidence. We offer a 401(k) with a 4% company match. - Equity plan 📦 We offer every Rainmaker an equity option plan so we can all benefit from our success. - Rain Cards 🌧️ We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing. - Health and Wellness 📚 High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! - Team summits ✨ Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Enterprise Customer Success Managers on the Lifecycle team don't stop at go-live — they make sure customers keep getting more from Ramp as their business grows. Ramp has grown its product suite significantly over the last several years. As we've matured as an organization, our customer relationships have grown more complex too: customers are buying more of the platform at once, running it across more entities and teams, and relying on it for more of how their finance function operates. Hitting an activation milestone doesn't mean the job's finished. Too often, a feature that could solve a real problem goes unused because no one is there to show how it would work in that customer's business. That's where you come in. This is a role for people who understand how finance teams actually run, who think in years rather than quarters, and who already use AI the way surgeons use instruments: not occasionally, not as an experiment, but as the default way they work. You'll own the customer experience after implementation for a book of Ramp's highest-potential enterprise customers, partnering with Account Management on long-term account strategy. You'll also be one of the first Lifecycle CSMs on a newly formed team, helping define how Ramp earns and keeps the trust of its most important customers. WHAT YOU'LL DO - Own the post-implementation experience for a book of enterprise customers, with clear accountability for sustained adoption, customer satisfaction, and renewal readiness - Drive sustained adoption by understanding each customer's goals and guiding them toward the workflows that improve outcomes for their business — including the products and features they've already purchased but haven't fully put to work - Act as each customer's expert in finance workflows: understand how they run their business, advise on decisions as their needs change, and make the value of new Ramp capabilities clear in their context - Build multi-threaded relationships across every account and partner with Account Management on executive relationships, so the account stays steady through change like a new Controller or CFO - Partner with Account Management on QBRs and executive business reviews, quantifying Ramp's impact in the language CFOs and Controllers care about — close cycle improvement, spend visibility, savings, and ROI — not just product usage metrics - Spot opportunities for growth and bring them to Account Management, who owns renewals and expansion; as customers add products, drive ongoing activation so they reach value quickly - Run your book on data: monitor usage, CP, and risk signals, get ahead of challenges and escalations, and see them through to resolution well before renewal is on the calendar - Use AI tools daily to prepare for customer calls, build materials, synthesize data, identify account risk, and operate at a pace traditional methods can't match - Bring customer feedback back into Ramp — surfacing patterns, gaps, and opportunities from your accounts to shape how Ramp evolves - Help build the motion from the ground up: executive sponsor programs, champion groups, churn reviews, and the playbooks every future Lifecycle CSM will run MUST-HAVES - Long-term account ownership — You've owned a book of customers past launch and through renewal, and you have measurable retention, adoption, or satisfaction results to show for it. Finance or fintech context is a plus but not required. - Customer experience mindset — You measure success by how customers feel about working with you, not only by milestones hit. You get ahead of problems before customers raise them and own escalations through resolution. - Executive relationship building — You build multi-threaded relationships across finance, operations, and the C-suite. When your champion leaves, the account doesn't leave with them. - Financial impact communication — You can walk a CFO through the value Ramp has delivered, connect adoption to P&L outcomes, and help make the case for continued investment in financial terms, not product terms. A finance background is not required — fluency is. - AI fluency as a daily habit — You already use AI tools habitually in your work. You use them to prep for calls, synthesize information, build customer-facing materials, and automate repetitive tasks. This is how you work, not something you're exploring. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment. - Data-driven book management — You prioritize your time based on usage, revenue, and risk signals, not on who emailed last. You can spot an at-risk account months before renewal and know what to do about it. - Technical and systems acumen — You're comfortable around major ERP platforms (NetSuite, SAP S/4HANA, Workday, Sage Intacct, or similar) and understand how Ramp fits into a customer's finance stack. You don't need to code, but you can diagnose what's blocking adoption and bring in the right technical partner. - Builder mindset — You're energized by building something that doesn't exist yet. This team is new, and you'll help shape the playbooks, programs, and rituals that define how Lifecycle CSMs work, all while running your own book. You bring structure to ambiguity and iterate quickly when something isn't working. - 7+ years in enterprise customer success, account management, or consulting — You've spent enough time with complex organizations and senior stakeholders that it's second nature. You know how to keep an enterprise customer successful long after the launch. NICE-TO-HAVES - Consumption-based revenue experience — You've worked with a product where value is measured in usage or spend, not seats, and know how to grow adoption after the contract is signed. - Finance domain depth — Exposure to FP&A, accounting software ecosystems (NetSuite, Sage, QuickBooks, Xero), expense management, or CFO-adjacent workflows. Accelerates credibility with Ramp's customer base. - Demonstrated commercial impact — You can point to retention, adoption, or renewal outcomes with specific metrics attached — not described in general terms. - Background at an AI-first or AI transformation company — not just a company that uses AI, but one where rethinking workflows around it was part of the product or culture - High-growth or startup experience (comfort operating in ambiguity and rapid change) BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Mid-Market Customer Success Managers on the Lifecycle team don't stop at go-live — they make sure customers keep getting more from Ramp as their business grows. Ramp has grown its product suite significantly over the last several years. As we've matured as an organization, our customer relationships have grown more complex too: customers are buying more of the platform at once, running it across more entities and teams, and relying on it for more of how their finance function operates. Hitting an activation milestone doesn't mean the job's finished. Too often, a feature that could solve a real problem goes unused because no one is there to show how it would work in that customer's business. That's where you come in. This is a role for people who understand how finance teams actually run, who think in years rather than quarters, and who already use AI the way surgeons use instruments: not occasionally, not as an experiment, but as the default way they work. You'll own the customer experience after implementation for a book of mid-market customers, partnering with Account Management on long-term account strategy. You'll also be one of the first Lifecycle CSMs on a newly formed team, helping define how Ramp earns and keeps the trust of its customers. WHAT YOU'LL DO 1. Own the post-implementation experience for a book of mid-market customers, with clear accountability for sustained adoption, customer satisfaction, and renewal readiness 2. Drive sustained adoption by understanding each customer's goals and guiding them toward the workflows that improve outcomes for their business — including the products and features they've already purchased but haven't fully put to work 3. Act as each customer's expert in finance workflows: understand how they run their business, advise on decisions as their needs change, and make the value of new Ramp capabilities clear in their context 4. Build multi-threaded relationships in every account, including finance leadership relationships you own, so the account stays steady through change like a new Controller or CFO 5. Partner with Account Management on QBRs and business reviews, quantifying Ramp's impact in the language CFOs and Controllers care about — close cycle improvement, spend visibility, savings, and ROI — not just product usage metrics 6. Spot opportunities for growth and bring them to Account Management, who owns renewals and expansion; as customers add products, drive ongoing activation so they reach value quickly 7. Run your book on data: monitor usage, CP, and risk signals, prioritize where your time goes, and get ahead of challenges and escalations before they reach renewal 8. Use AI tools daily to prepare for customer calls, build materials, synthesize data, identify account risk, and operate at a pace traditional methods can't match 9. Bring customer feedback back into Ramp — surfacing patterns, gaps, and opportunities from your accounts to shape how Ramp evolves 10. Turn what works into repeatable plays, programs, and automations that scale across your book and the team WHAT YOU'LL NEED - 5+ years of customer-facing experience in customer success, account management, or consulting, with a proven, consistent track record of retaining customers and exceeding goals - Experience owning a book of customers past launch and through renewal, with measurable retention, adoption, or satisfaction results; finance or fintech context is a plus but not required - A customer experience mindset — you get ahead of problems before customers raise them and own escalations through resolution - AI fluency as a daily habit — you already use AI tools habitually to prep for calls, synthesize information, build customer-facing materials, and automate repetitive tasks; this is how you work, not something you're exploring - Ability to communicate Ramp's impact in financial terms — walking a Controller through the value Ramp has delivered and connecting adoption to P&L outcomes - A data-driven approach to managing a book — you prioritize based on usage, revenue, and risk signals and can spot an at-risk account well before renewal - Technical and systems acumen to understand how Ramp fits into a customer's finance stack, diagnose what's blocking adoption, and bring in the right technical partner - A builder mindset — this team is new, and you're energized by shaping the playbooks, programs, and rituals that define how Lifecycle CSMs work while running your own book; you bring structure to ambiguity and iterate quickly - Strong collaboration and influencing skills across Sales, Account Management, Product, Operations, and other GTM teams NICE TO HAVES 1. Experience with a consumption-based product where value is measured in usage or spend, not seats 2. Exposure to FP&A, accounting software ecosystems (NetSuite, Sage, QuickBooks, Xero), expense management, or CFO-adjacent workflows 3. Demonstrated commercial impact — retention, adoption, or renewal outcomes with specific metrics attached 4. Background at an AI-first or AI transformation company where rethinking workflows around AI was part of the product or culture 5. High-growth or startup experience with comfort operating in ambiguity and rapid change BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re looking for a Software Engineer to join our AI Tooling team and help shape how developers and agents build with Supabase. You'll build and own our AI tooling, including agents, the MCP server, agent skills and the dashboard assistant, and as the space moves you'll build the tooling for new technologies too. You'll build it all eval-first: every tool ships with evals and metrics, so we know, with evidence, that it makes agents better rather than worse. You'll work closely with the Docs, CLI, Frontend and SDK teams, and with the AI Tooling Infrastructure engineers who run these services in production. Other teams contribute to AI Tooling to improve Supabase's agentic capabilities, and you'll help them do that while keeping the quality bar high. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR - Build and improve the AI tooling we run today, including the MCP server, agent skills, agents and the Assistant. - Make new Supabase products usable by agents from day one: tools, skills and evals for new product surfaces. Also build tooling for new AI technologies as they emerge: prototype quickly, evaluate honestly, and decide with the team what is worth taking to production. - Drive an eval-first approach: build and improve evals, instrumentation and feedback loops, measure tools against a no-tool baseline, and help define the quality KPIs and gates that stop regressions shipping. - Understand how customers and agents actually use what we ship, and turn that into improvements to our tooling, interfaces and documentation. - Design how documentation and product knowledge are exposed to agents, and measure whether it works. - Build patterns and tools that help customers add AI to their own apps, such as MCP on Edge Functions, vector embeddings and agents running on Edge Functions. - Enable teams to improve Supabase's agentic capabilities through contributions to AI Tooling: clear contribution paths, templates, documentation and review practice. - Centralise shared AI logic so teams reuse it rather than duplicate it. - Ship tools that are battle-tested, with strong tests, benchmarking and stress testing where it counts. - Work with the AI Tooling Infrastructure engineers on reliability, auth and hosting. - Work across Docs, CLI, Frontend, SDK and other teams to deliver one coherent developer experience, and stay close to the fast-moving AI ecosystem. YOU MIGHT BE A GOOD FIT IF YOU MUST HAVE: - Have 5+ years of experience in professional software engineering experience. - Write strong TypeScript and know the JavaScript ecosystem well: npm, ES modules, bundlers, compatibility. - Are deeply familiar with the AI ecosystem: current tools, agent patterns and practical trade-offs. You can tell a durable pattern from hype. - Have built developer tools, product interfaces or platform primitives used by other engineers. - Have designed or used evaluation frameworks to measure AI quality, reliability and task success, and understand baselines, variance and cost. - Have strong judgement about where AI improves workflows and how to avoid fragile or gimmicky experiences. - Write tests and validate reliability in real-world conditions. - Know Postgres and relational database practice. - Communicate clearly in writing, work across product, engineering and docs, and thrive in async, globally distributed teams. - Are comfortable navigating ambiguity and moving quickly. NICE TO HAVE: - Experience with vector databases and embeddings, ideally pgvector. - Examples of customer-facing AI features or agents you've shipped. - Examples of documentation or structured knowledge designed for developers or agents. - Experience with Braintrust or a similar eval and tracing platform, or setting up CI quality gates. - Open-source contributions or developer tooling you've maintained. - Experience across several product surfaces or teams. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Задачи: — Проводить code review решений коллег и изменений, сделанных ИИ-агентами, объяснять замечания и показывать, как сделать лучше. — Вводить в работу новых участников команды, включая стек, архитектуру проектов, принятые практики и приемы работы с ИИ-агентами. — Быть наставником для коллег, в том числе нетехнических, консультировать по архитектуре и коду, разбирать их решения и готовить примеры. — Выбирать стек, библиотеки и веб-фреймворки для Python и JavaScript с учетом требований, нагрузки, масштабирования и удобства сопровождения. — Проектировать frontend и backend: REST API, модели данных, аутентификацию и авторизацию, интеграции. — Декомпозировать задачи для ИИ-агентов, задавать технический контекст и критерии готовности, проверять изменения в Git. — Вести debugging и рефакторинг, организовывать unit-, интеграционные и end-to-end тесты. — Создавать переиспользуемые компоненты, шаблоны приложений и API-интеграции для разных компаний. Требования: — Желание регулярно заниматься code review, онбордингом и наставничеством. — Умение объяснять технические решения простым языком, в том числе коллегам без опыта разработки. — Готовность работать в офисе в Москве (м. Курская) минимум 4 дня в неделю. — Базовое понимание ИИ, включая общее представление о работе LLM, промптах, контекстном окне, ошибках моделей и их проверке. — Опыт использования ИИ-инструментов в работе, таких как чат-ассистенты, ассистенты в IDE или coding agents. — Опыт fullstack-разработки и запуска веб-приложений в production. — Уверенное владение Python и JavaScript, опыт разработки backend и frontend. — Знание HTML/CSS, веб-фреймворков и клиент-серверной архитектуры. — Практические навыки REST API, HTTP, SQL, Git, Docker и автоматизированного тестирования. — Понимание проектирования API и баз данных, прав доступа, обработки ошибок и логирования. — Умение проводить рефакторинг, разбирать зависимости и находить причины ошибок. Дополнительные преимущества: — Опыт в роли техлида, тимлида или ментора. — Углубленное знание LLM (embeddings, RAG) и опыт настройки coding agents. — Знание архитектуры корпоративных ИТ-систем и интеграций. — Знание .NET. Условия: — Работа в офисе в Москве, м. Курская, минимум 4 дня в неделю. — Реальные задачи разных бизнесов, участие в выборе технологий, роль наставника в команде и совместная работа с аналитиками, преподавателем и специалистами по инфраструктуре. Для отклика необходимо прислать резюме, при наличии портфолио или ссылок на проекты добавить их к отклику, а также в сопроводительном письме ответить на вопросы о опыте code review, онбординга или наставничества, используемых ИИ-инструментах и готовности работать в офисе.