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Position Summary: The Medical Science Liaison (MSL) reports to the Sr. Director, National Field Medical Affairs and is responsible for fostering strong relationships with key opinion leaders (KOLs) and supporting the scientific and clinical strategy of Orca Bio's next generation allogeneic cell therapies. The ideal candidate will have deep expertise in hematopoietic stem cell transplantation (HSCT), cellular therapy, and the evolving cell therapy landscape, including clinical, operational, regulatory, and market access considerations. The MSL will serve as a trusted scientific partner between Orca Bio and external healthcare providers (HCPs), establishing strong professional collaborations with investigators and other HCPs within the designated territory (Southern California, Arizona, New Mexico, or Colorado). The MSL will also be an active leader and contributor on projects supporting Medical Affairs Strategic Objectives. Responsibilities: — Serve as a subject matter expert in stem cell transplantation, cell therapy, and cellular immunotherapy, providing scientific insights on treatment paradigms, clinical operations, patient access, and competitive landscape. — Identify, develop, and maintain deep scientific, peer-to-peer relationships with academic stem cell therapy experts, thought leaders, HCPs, and access stakeholders to answer scientific and product-related questions and ensure safe and appropriate use of Orca Bio products. — Prepare and maintain a territory management plan shared with Medical Leadership and internal stakeholders. — Engage with Orca field team members to provide medical support for onboarding activities related to treatment center authorization, adverse event reporting, handling out-of-spec products, and partner with Market Access colleagues to provide medical education and support to local payers. — Maintain a deep and current understanding of hematologic malignancies, stem cell transplantation, cell therapy, cellular immunotherapy, and competitive developments to facilitate high-level scientific exchange. — Assess transplant and cell therapy landscape through engagement with KOLs, investigators, and academic centers to identify scientific trends, evidence gaps, and research opportunities relevant to Orca Bio's therapies. — Serve as primary liaison for Orca Bio's Investigator-Sponsored Trial (IST) program, supporting research concept development, proposal and protocol development, governance communication, and scientific oversight throughout study phases. — Gather and communicate actionable scientific insights and stakeholder feedback to leadership and cross-functional partners to inform medical strategy, evidence generation, and lifecycle planning. — Provide scientific and clinical expertise to support internal and external stakeholders through advisory boards, clinical investigator meetings, educational meetings, professional organizations, advocacy groups, GPOs, and speaker bureaus. — Support clinical trial activities to enhance patient recruitment, enrollment, and discussions on safe and effective use of investigational products, ensuring adherence to Good Clinical Practice (GCP) and regulatory standards. — Lead collection, analysis, synthesis, and dissemination of scientific information from congresses and scientific exchanges, translating data and feedback into actionable recommendations. — Coordinate efforts of other MSLs for congress coverage when assigned. — Provide medical and scientific support for health outcomes, real-world evidence, and payer/provider engagement strategies. — Initiate and autonomously execute projects aligned with Orca Bio’s scientific, clinical, and business operations, partnering with research, clinical development, commercial, market access, regulatory, and quality functions. — Provide education and training to commercial marketing and sales teams on therapies and disease states. Required Qualifications: — Advanced clinical degree in life-science or basic-science discipline (MD, DO, PharmD, NP, PA, DNP, M.Sc, or Ph.D.) and industry experience as an MSL. — Significant clinical and/or industry experience in malignant hematology, HSCT, cellular therapy, CAR-T, immune effector cell therapies, or other advanced therapy modalities. — Strong understanding of cell therapy ecosystem including transplant center operations, apheresis and cell processing workflows, treatment center authorization, patient referral pathways, and competitive cell therapy products. — Strong understanding of clinical development, regulatory requirements, and commercial strategies; HEOR data experience is a plus. — Excellent interpersonal and communication skills to engage and influence diverse stakeholders. — Ability to interpret and present complex scientific data to diverse audiences. — Strong strategic thinking, problem-solving skills, and solution-oriented mindset. — Ability to collaborate with cross-functional colleagues to serve internal and external stakeholder needs. — Ability to work independently and manage multiple priorities in a fast-paced, dynamic environment. Preferred Experience: — 5+ years of industry experience as an MSL. — Experience with field medical launch planning, execution, and post-launch support. — Direct experience supporting cell therapy, stem cell transplantation, CAR-T, or other advanced therapeutic platforms. — Experience working in a small biotech company or start-up environment. Compensation and Benefits: — Annual salary range $195,000 - $245,000 based on experience, education, location, and other factors. — Eligibility for pre-IPO equity and annual bonus. — Competitive medical, dental, and vision benefits. — PTO, 401(k) plan, life and accidental death and disability coverage, and parental leave benefits. — Other perks include subsidized daily lunches and snacks at on-site locations.

195 000 – 245 000 $

Задачи: — Владеть полным циклом продукта Swap от этапа исследования и стратегии до разработки дорожной карты, доставки, запуска, роста и оптимизации с ответственностью за измеримые пользовательские и бизнес-результаты. — Определять видение продукта, стратегию, дорожную карту, приоритеты, требования, метрики успеха и критерии готовности к запуску. — Руководить сложными кросс-функциональными инициативами с командами Product Owners, Product Design, QA, Engineering, Marketing, Legal и Sales & Business Development, согласовывая владение, зависимости, планы выхода на рынок и готовность бизнеса. — Проводить структурированные исследования, изучение клиентов, проверку гипотез и эксперименты перед значительными инженерными инвестициями. — Создавать обоснованные инвестиционные кейсы, используя продуктовую и блокчейн-аналитику, оценку возможностей, конкурентный бенчмаркинг, анализ затрат и выгод и соответствующие стратегические рамки. — Использовать AI для ускорения исследований, документации, открытий, приоритизации и экспериментов, создавая повторяемые рабочие процессы и проверяя результаты на точность, релевантность и потенциальные искажения. — Использовать Dune Analytics и другие платформы продуктовой или блокчейн-аналитики для проверки предположений, определения KPI, измерения результатов и корректировки дорожной карты при изменении данных. — Отслеживать пользователей, конкурентов, динамику рынка и новые DeFi-протоколы, превращая возможности, риски и угрозы в продуктовые инициативы или эксперименты. — Руководить продуктовыми решениями по маршрутизации, агрегации, API, интеграциям, источникам ликвидности, производительности, масштабируемости и надежности, балансируя между текущими конкурентными потребностями и долгосрочной эволюцией платформы. — Коммуницировать направление продукта, инвестиционные рекомендации, компромиссы, риски, производительность и прогресс дорожной карты техническим, нетехническим и исполнительным заинтересованным сторонам. Требования: — Опыт управления продуктом не менее 6 лет, включая полное владение сложными техническими продуктами или платформами. — Понимание Web3, DeFi, блокчейн-продуктов, DEX-агрегации, ликвидности, маршрутизации или смежных финансово-технологических областей. — Опыт определения и реализации продуктовых стратегий, дорожных карт, требований, метрик успеха и планов запуска для сложной продуктовой области. — Опыт руководства инициативами в областях продукта, инженерии, дизайна, маркетинга и продаж, умение управлять неоднозначностью и обеспечивать доставку без прямого авторитета. — Тесное сотрудничество с инженерными командами по API, интеграциям, инфраструктуре, архитектуре систем, масштабируемости и производительности. — Сильные навыки структурированного исследования, изучения клиентов, экспериментов, проверки гипотез, анализа рынка и конкурентов. — Опыт создания обоснованных кейсов для значительных продуктовых или инженерных инвестиций и презентации рекомендаций технической, нетехнической и исполнительной аудитории. — Использование продуктовых, бизнес, технических и on-chain данных, включая Dune Analytics или аналогичные платформы, для принятия решений, измерения результатов и корректировки приоритетов. — Использование AI в исследованиях, открытии, документации, приоритизации или экспериментах с проверкой результатов и сохранением ответственности за решения. — Отличные письменные и устные коммуникативные навыки, высокая ответственность, внимание к деталям и ориентация на измеримые результаты. Плюсы: — Опыт работы с B2B SaaS, API, платформами для разработчиков или инфраструктурными продуктами. — Опыт работы с партнерами, интеграциями или командами бизнес-развития. — Опыт создания дашбордов Dune или проведения продвинутого on-chain анализа. — Опыт проектирования повторяемых AI-поддерживаемых рабочих процессов управления продуктом. — Опыт презентации значительных инвестиционных рекомендаций руководству или наличие соответствующих сертификатов в области управления продуктом, agile, аналитики, блокчейна, DeFi, AI или технической архитектуры.

We are seeking an experienced technical product manager to design and deliver high-value AI Agent solutions across the Veeva Quality Cloud suite of products. Veeva Quality Cloud accelerates the manufacturing of high-quality products to a greater number of patients. The cloud platform unifies applications, processes and partners across content management, training, Quality Management System (QMS) and QC lab solutions (LIMS). In this role, you will be an expert in the use of AI to design and build AI agents that analyze document content and intelligently extract the information to map & store them as structured data within the Veeva Quality Cloud data model (i.e. ‘Docs to Data’).

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About Whizz Whizz is the largest e-bike subscription service for gig delivery workers in North America. We rent maintained, insured e-bikes to independent couriers on a monthly subscription. We operate in six states, with New York as our largest market, and employ 100+ people. Purpose of the Role The Head of Finance owns the company's finance and accounting function. This is an operational role. The priority is accurate reporting, disciplined budgeting, and financial control across a physical, asset-heavy business. Responsibilities Financial reporting. Own the preparation and accuracy of the P&L, cash flow statement, and balance sheet. Run the monthly close on schedule and ensure the reporting package is consistent, reconciled, and usable by management. Inventory and fleet accounting. Own how inventory and fixed assets are recorded and reflected in the financial statements. This includes maintaining and improving the capitalization and depreciation policy for bikes, batteries, and spare parts, managing the fixed asset register, accounting for disposals and write-offs, and reconciling operational inventory records against the general ledger. Budgeting and financial model. Maintain the company's financial model for internal planning purposes. Build the annual and quarterly budgets with department heads, track actual performance against plan, and variances with recommended corrective action. Financial control. Build the financial control function: approval and authorization procedures, spend controls, segregation of duties, and regular controls over cash, receivables, and payables. Team and external partners. Manage in-house accountants and the outsourced accounting firm, define the division of work between them, and hold both to agreed deadlines and quality standards. Compliance and operations. Oversee payroll, multi-state tax registrations and filings, statutory reporting, and audit readiness. Oversee accounts payable, accounts receivable, collections, and payment processing operations. Cross-functional Work The Head of Finance works directly with the operations, supply chain, and product teams on projects such as pricing changes, new city launches, vendor contracts, warehouse and inventory processes, and payment system changes. The role is expected to identify and address the financial and accounting implications of these projects at the design stage. Requirements 7+ years in accounting and finance, including experience owning a full monthly close as Controller, Head of Finance, or equivalent. Experience in the US market. Experience with inventory and fixed asset accounting in a physical business. Multi-state payroll and tax compliance experience. Experience managing accounting staff and outsourced providers. Experience in a company where processes had to be built rather than maintained. Strong systems skills, including accounting system implementation or migration. What We Offer Competitive salary and benefits. Fully remote work in the rapidly growing business. Full ownership of the finance and accounting function. Direct reporting line to the CEO.

RELOCATION TO GERMANY adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we’ve become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn’t just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren’t just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. As a Data Engineer on this team – you’ll be building and maintaining the infrastructure that makes them possible: the Feature Store, the data pipelines, the data quality systems, and the data architecture that data scientists depend on to move fast. Your Mission & Who We Are Looking For: Data engineering at ML scale. You have 5+ years in data engineering on a modern stack, with proven experience handling systems that process several TB of data per day and thousands of events per second. Flink is your default for real-time. You have hands-on experience with Apache Flink for stateful stream processing and real-time feature computation. You’ll translate Data Science requirements into high-performance streams, enable Data Scientists to contribute new features and implement features yourself when needed. Pipeline bottlenecks don’t survive long around you. You know how to identify and eliminate inefficiencies in complex ETL jobs, whether handling high-volume batch processing or real-time streaming systems like Kafka. At adjoe, data velocity is critical: slow pipelines directly impact model freshness and prediction quality at sub-100ms inference. You think in layers, not tables. You move beyond raw data to design robust, multi-layered data architectures using dbt, and can reason confidently about storage formats, Data Lakehouse models, and what belongs where in a 1PB+ data lake. Familiarity with Medallion Architecture is a strong plus. The bridge between Data Science and Backend. You’ve worked closely with Data Scientists on online ML systems with low latency requirements, and understand what it takes to make experimental research production-ready. Strong Java required; Go or Python a plus. Owns quality, not just delivery. You implement data validation, monitoring, and governance processes in production, because in a system where model inputs directly drive advertiser ROI, data integrity isn’t optional. Experience with Airflow, Kubeflow, AWS, Terraform, and Kubernetes is a strong plus. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. Go Big. Own projects with impact on 770M users and push adtech boundaries. Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. Be Direct. Solve problems openly and collaborate across teams. Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.

adjoe builds the technologies behind mobile apps growth and monetization. adjoe Ads is a programmatic in-app advertising platform connecting advertisers and publishers through Android and iOS SDKs. The User Experience team owns native Kotlin and Swift code running inside publisher apps, participating in 120 million daily auctions and capturing behavioral signals powering 50 billion predictions per day. The team also manages analytics dashboards, investigation tools, and data frameworks for real-time revenue performance, infrastructure cost visibility, and data quality assessments. Your Mission & Who We Are Looking For: — 5+ years of data analysis experience with senior leadership, mentoring junior/mid-level analysts, and bridging business ideas to technical solutions. — Design and automate reliable, scalable data pipelines and workflows using dbt and Airflow for real-time performance reporting, data quality control, and regulatory compliance. — Mastery of SQL (Window Functions, CTEs, deeply nested JSON/Map types) to optimize Trino/Athena queries over 5TB+ daily data volumes for speed and cost-efficiency. — Deep Python expertise for complex, memory-efficient data manipulation and statistical modeling to handle massive daily data volumes. — Apply Python-driven statistical methods (Power Analysis, P-values, Bayesian frameworks) for rigorous evaluation of SDK-side experiments and feature rollouts. — Combine data visualization and technical storytelling to translate complex analyses and operational findings into actionable recommendations for stakeholders. Relocation support to Hamburg, Germany is provided for candidates worldwide ready to join the team.

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About the company: Plurio builds AI agents for performance marketing, automating analysis and optimization for media buying teams managing $300K–$15M/month on Google, Meta, and TikTok. Their AI agents handle budget allocation, creative management, and automation rules based on historical data and ML models, managing over $500M/year in ad spend. The Role: The Senior Marketing Analyst owns marketing attribution and measurement, ensuring trustworthy and explainable performance metrics across channels with complex attribution models (first/last/multi-touch, custom windows, LTV-driven funnels). Responsibilities include cross-channel and funnel analysis integrating paid media, on-site behavior, CRM, and backend revenue to diagnose funnel leaks and unit economics issues. The role requires deep understanding of paid-channel analytics on Meta and Google platforms to inform reallocation and optimization decisions. The analyst builds AI-driven analytical workflows using AI agents (Claude Code, Cursor, Codex) to automate data preparation and analysis, designs repeatable pipelines, and creates clear dashboards and reports (Power BI, Looker, Tableau) with real-time anomaly detection. The analyst collaborates with product, data, and engineering teams to align analytical models with product development. Requirements: Excellent SQL skills with ability to write, debug, and optimize complex queries and teach AI agents to do so. Proven experience in marketing analytics and performance marketing, including attribution and management of Meta and Google Ads. Hands-on experience with AI coding agents to build workflows and automations. Systemic thinking focused on repeatable pipelines and automated analysis. Proficiency with Git for version control of queries and workflows. Strong communication skills to translate data into actionable decisions. Professional-level English and reliable overlap with US business hours. Preferred: Python for analysis beyond SQL, experience with dbt, modern data warehouses (BigQuery, Snowflake), ETL/pipeline work, web/measurement tools (GA4, GTM, server-side tracking), experience with complex funnels and LTV-driven models in sectors like EdTech, FinTech, Consumer Apps, B2C SaaS, Healthcare, Home Services. Independent project ownership and public samples of work. Red Flags: Creating dashboards without marketing or attribution understanding, SQL only via drag-and-drop BI tools, using AI agents only as chat without workflow building, theoretical marketing analytics without hands-on Meta/Google Ads experience. What to Expect: Competitive compensation aligned with senior experience, AI-first culture with advanced tooling, significant impact on client outcomes and AI product, remote work with US-hours overlap. Hiring Process: Application with CV and short answers, intro call, technical interview on SQL and marketing analytics, final culture fit conversation, paid trial period, then offer. How to Apply: Fill out the application form at the provided link; no cover letter required.

We are a global algorithmic trading firm with an advanced technology stack, driving the full trading cycle — from market research and strategy design to algorithm development and software engineering. Our strength lies in deep market expertise and the continuous evolution of our infrastructure to stay ahead of the industry. Responsibilities: — Work through high-level business and technical requirements with the product, trading, and engineering teams, then build the resulting platform features. — Design, build, and maintain core platform components in Rust: exchange and broker gateways, data pipelines, monitoring tools, and algo trading infrastructure. — Optimize latency, throughput, and stability based on measurements and load testing. Low latency, reliability, and determinism are hard requirements. — Add observability to new components (metrics, logs, tracing, alerts, dashboards) so execution issues get caught early. — Diagnose incidents in the trading loop, find the root cause, write up the analysis, and fix the problem so it does not recur. — Ensure quality through automated (unit, integration, performance) and manual testing with QA, and maintain the test harnesses and integration suites that validate scenarios before production. — Document modules, service contracts, integration rules, and operational runbooks. — Help design and decompose features and epics, taking the product and trading side and operational risk into account. Qualifications: — 5+ years of relevant experience building low-latency, high-reliability systems. — Extensive experience in Rust. — Good understanding of computer systems and software architecture: Linux, networking, data structures and algorithms, concurrent and parallel programming, distributed computing, and performance optimization. — Strong engineering fundamentals and a preference for readable, maintainable code and sensible testing. — Takes ownership of tasks through to production and works to clear blockers, including pushing peers when needed. — Higher technical education or equivalent professional experience. Nice to have: — Familiarity with a trading domain: market data, trading protocols, operational risk. What we offer: — Remote-first: work from anywhere. — Tech-driven environment: no bureaucracy, legacy systems, or tech debt. — Growth & development: work with top talent in a fast-paced, innovation-driven culture. — Perks: medical insurance, sports benefits, home office setup, and educational support.

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Задачи: - Взаимодействовать с аналитиками и старшими разработчиками для уточнения требований, обсуждать архитектурные решения и согласовывать задачи - Разрабатывать бэкенд‑часть приложений на Java: создание и поддержка серверной логики в соответствии с техническими требованиями - Создавать интеграционные сервисы: разработка механизмов взаимодействия между внутренними системами и внешними API - Проектировать и реализовывать микросервисные компоненты: разработка отдельных модулей системы с учётом принципов микросервисной архитектуры, обеспечение их корректного взаимодействия - Делать интеграции с AI‑решениями: подключение и настройка взаимодействия с LLM‑платформами - Писать и поддерживать юнит‑тесты: создание автоматизированных тестов (JUnit, Mockito) для проверки корректности работы кода, обеспечение высокого покрытия тестами новых и существующих модулей - Исправлять дефекты: анализ и устранение ошибок в существующем коде - Делать рефакторинг и оптимизацию кода: улучшение структуры и производительности существующего кода под руководством наставника, соблюдение принципов чистого кода (Clean Code) и лучших практик Java‑разработки Требования: - Уверенное знание Java 17 и опыт разработки на Spring Boot 3 от 6 месяцев - Уверенное знание SQL: join, подзапросы, агрегатные и оконные функции, знание в теории или практические навыки оптимизации запросов (работа с индексами и партициями), умение анализировать план выполнения запроса - Опыт работы с реляционной БД PostgreSQL - Знание принципов работы с REST API (разработка и интеграция) - Опыт написания юнит‑тестов с использованием JUnit и Mockito - Опыт работы с Git и Maven - Базовые знания шаблонов проектирования (design patterns) в Java - Понимание принципов микросервисной архитектуры и основ работы многопоточных приложений - Практический опыт работы с Spring JDBC - Умение разбираться в чужом коде и вносить в него изменения - Высшее или неоконченное высшее техническое образование Условия: - Внутренние семинары, митапы - ДМС со стоматологией для сотрудников и скидку на покупку ДМС для ближайших членов семьи - Техника для комфортной работы - Сессии профессионального развития персонала с планом индивидуального развития каждого сотрудника

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Задачи: — Разработка и поддержка backend-сервисов на Go. — Проектирование и реализация REST/gRPC API. — Работа с PostgreSQL, Redis и системами обмена сообщениями. — Интеграция с внешними сервисами и API. — Написание модульных и интеграционных тестов. — Оптимизация производительности и повышение надежности приложений. — Участие в код-ревью, обсуждении архитектуры и технических решений. Требования: — Опыт коммерческой разработки на Go от 2 лет. — Хорошее знание языка Go и его стандартной библиотеки. — Опыт работы с PostgreSQL и SQL. — Понимание принципов микросервисной архитектуры. — Опыт разработки REST API и желательно gRPC. — Знание Docker, Git и CI/CD. — Понимание принципов многопоточности, конкурентности и сетевого взаимодействия. Будет плюсом: — Опыт работы с Kubernetes. — Знание Kafka, RabbitMQ или NATS. — Опыт работы с облачными платформами AWS, GCP или Azure. — Понимание Domain-Driven Design и Clean Architecture

2 000 – 5 000 $

Задачи: — Участвовать в проработке архитектурных решений для запуска новых продуктов/проектов, взаимодействуя с менеджерами, аналитиками, разработчиками и тестировщиками — Заливать новые фичи в develop — Проводить Code Review и помогать коллегам избегать ошибок в продакшене — Покрывать тестами каждую задачу — Исправлять баги, если тесты их не выявили — Обеспечивать интеграцию решений в процесс CI/CD — Поддерживать высокую отказоустойчивость и производительность продакшена — Выполнять разнообразные задачи: от мелких правок API до создания новых сервисов Требования: — Опыт разработки на Java не менее года, использование Java 17 и выше — Умение работать в команде, знание гибких методологий Scrum/Kanban — Знание систем автоматизации сборок Maven/Gradle, опыт работы с Gitlab CI/Jenkins — Навыки подготовки Docker образов и знакомство с Kubernetes — Знание паттернов проектирования и System Design — Базовые знания Linux и уверенное использование Git

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Задачи: — разработка backend API и распределённых сервисов — поддержка высоконагруженных и конкурентных систем Требования: — 3+ года профессионального опыта в разработке — сильный production-опыт с Python — практический опыт с PostgreSQL и Redis — опыт построения и поддержки backend API и распределённых сервисов — опыт работы с конкурентными и высоконагруженными системами — понимание принципов software architecture и system design — опыт с Git и современными процессами разработки — хорошее понимание сетевых основ: HTTP, TCP/IP, веб-технологии — опыт с Prometheus, Grafana, Loki — покрытие тестами (Pytest, Unit тесты, Интеграционные тесты) не менее 80% Будет плюсом: — опыт работы в доменах финансовый сектор, логистика, карты, 1С, документооборот Требования к софт скиллам: — самостоятельность — проактивность Условия: — fulltime — работа с проживанием в таунхаусе на время разработки проекта в Москве — компания предоставляет релокацию О компании: Djatu — B2B-маркетплейс (агрегатор) для тяжёлых и негабаритных грузоперевозок с акцентом на доверие, безопасность сделки и полный цифровой цикл. Стадия — Seed.

от 150 000 ₽

Menlo Security is seeking an experienced Senior Software Engineer to join the Service Delivery team. The position is full-time and either remote (UK time zone) or based from their Bracknell, UK office. Responsibilities: — Design and develop novel solutions using a RESTful approach to APIs and building asynchronous HTTP services. — Maintain and evolve the current portfolio of services supporting internal and external customers. — Critically analyze and optimize services and frameworks to ensure performance at scale. — Deliver code in a repeatable and scalable manner, maintaining high quality. Minimum qualifications: — BS/BA or relevant experience preferred. — At least 5 years experience in Software Engineering. Experience & skills: — Strong proficiency with Python and asynchronous services, ideally using Tornado, Twisted or asyncio. — Strong understanding of GCP, AWS or other Clouds. — Experience with containerization and Kubernetes. — Proficient with RESTful APIs and microservice design. — Experience using Linux. — Customer-focused with experience working with engineers as customers. — Strong sense of ownership and responsibility, able to design creative solutions and communicate effectively. — Enjoys collaborative work and committed to driving projects to completion. — Ability to write clean, concise and maintainable code. — Strong written and verbal communication skills. — Proactive, ambitious, and strong ability to learn new things. — Highly organized with critical attention to detail and documentation. — Experience with NodeJS is desirable.

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Задачи: - Разрабатывать новый функционал продукта и участвовать в запуске новых проектов. - Реализовывать pixel-perfect интерфейсы по макетам Figma, соблюдая дизайн-систему и высокие стандарты качества. - Работать со сложной бизнес-логикой, улучшать архитектуру приложения, заниматься рефакторингом и поддержкой существующего функционала. - Писать unit- и integration-тесты, самостоятельно проверять качество реализованных решений. - Оптимизировать производительность приложения, улучшать SEO и участвовать в развитии продукта вместе с дизайнерами и командой разработки. Требования: - Коммерческий опыт разработки на React и Next.js в продуктовой компании. - Отличное знание TypeScript, включая generics и строгую типизацию. - Опыт работы с App Router и React Server Components. - Опыт работы с react-hook-form, Zod и Zustand. - Опыт разработки в рамках дизайн-систем и работы с Figma. - Опыт оптимизации производительности (Core Web Vitals, rendering, bundle size) и понимание принципов SEO. - Опыт написания unit- и integration-тестов. Будет преимуществом: Stripe, Coinflow; Web3 / Solana; next-intl; Feature-Sliced Design (FSD); epub.js; Google Tag Manager, GA4, маркетинговые интеграции и аналитика. Условия: - Полностью удалённая работа. - Оплата в валюте. Оформление по b2b контракту. - Гибкость, минимум бюрократии. - Небольшая команда, где ваш вклад заметен.

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RELOCATION TO CYPRUS OR POLAND Easybrain is looking for a Junior User Acquisition Manager who has experience working at Deloitte, KPMG, PwC or EY and is eager to launch user acquisition campaigns worldwide, execute marketing initiatives, and contribute to the growth of our projects. We believe that a background in audit provides a strong foundation for success in User Acquisition, thanks to its emphasis on analytical thinking, data-driven decision-making, attention to detail, and working with large datasets. Responsibilities: - Own and execute Easybrain's mobile user acquisition strategy across multiple advertising networks; - Work with data sets to create and optimize campaigns, and target users based on performance metrics; - Closely collaborate with designers in the creative process for ads. Requirements: - Excellent knowledge of English (at least Upper Intermediate); - Knowledge of Russian language is a must; - Basic knowledge of Excel or Google Spreadsheets; - Interest in the mobile application and game market; - Combo of analytical mindset and creativity; - Being a fast learner. Benefits: Besides the engaging tasks, support from experienced colleagues, challenge, and drive, we offer: - Full support in relocating to countries where our offices are located; - High-end market salary with performance bonuses; - All needed equipment; - Regular company events and monthly Friday meetings; - Social benefits (private medical cover, sports reimbursement, etc.); - Paid vacations, sick days; - English, Greek, and Polish online language classes; - Reimbursement for education and professional development.

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Задачи: — выступать в роли наставника и заказчика для команды из трёх студенток IT-колледжа; — помогать сформулировать задачу для мобильного приложения; — давать обратную связь и поддерживать команду на пути к результату. Требования: — опыт работы в IT в одной из ролей: Product / Project Manager, UX/UI Designer, Frontend, Backend, Mobile, Fullstack Developer, QA Engineer; — готовность уделять проекту около 1 часа в неделю; — желание развивать будущих специалистов и делиться практическим опытом; — проживание в Алматы; — владение русским или казахским языком. Условия: — формат участия: гибридный (онлайн + офлайн); — срок участия: октябрь — июнь (9 месяцев).

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Role overview: We are looking for a Game Mathematician to design, validate, and improve mathematical models for casino games. You will work closely with Product Owners, developers, QA, and certification teams to create engaging, compliant, and mathematically robust game experiences. Responsibilities: — Design and develop mathematical models for slots, casual and table games; — Contribute to game mechanics and feature design together with Product Owners and game designers; — Build simulations and analytical tools to validate RTP, volatility, hit frequency, maximum win, and other key game parameters; — Review and verify mathematical implementations together with developers and QA; — Analyze, update, and adapt legacy mathematical models from previously released games when required; — Support game balancing, playtesting, and post-release analysis using gameplay and statistical data; — Work with certification laboratories during game certification, investigate mathematical or technical findings, and prepare required fixes or supporting documentation; — Analyze market trends and existing game mechanics to identify opportunities for innovation. Requirements: — Degree in Mathematics, Statistics, Computer Science, or a related field — or equivalent practical experience; — Strong knowledge of probability theory, combinatorics, statistics, and mathematical modeling; — 5+ years of proven experience creating mathematics for slot games and/or other casino games; — Experience collaborating with certification laboratories and resolving certification-related issues; — Ability to explain which certification labs you have worked with, what requirements or findings arose, and how you addressed them; — Proficiency in at least one object-oriented programming language, such as C++, C#, or similar; — Strong Excel skills and experience with simulations, data analysis, and large datasets; — Experience with Git; — Strong analytical thinking, attention to detail, and problem-solving skills. Nice to have: — Understanding of player psychology, engagement mechanics, and the iGaming market; — Experience working with legacy game mathematics, including reviewing, debugging, recalculating, and updating existing models. Work conditions: — Work where it suits you: from home, the office, or a mix of both. — 100% paid vacation and sick days, plus extra days off. — Medical insurance and mental health support. — BCoins for internal rewards and fun perks. — Budget for professional development, certifications, and language courses (English and Polish). — Hackathons, team events, and legendary parties. — Kids’ camp for BGamers’ families. — Referral program with real rewards.

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Мы — амбициозная команда специалистов, которая ставит перед собой амбициозную задачу по разработке и внедрению ИИ-агента для управления технологическими рисками Банка. Наше решение помогает быстро выявлять, оценивать и минимизировать последствия технологических рисков. В нашей команде ты сможешь быть вкладом в создание и развитие продукта с 0 и работать с передовыми технологиями, свободные коммуникации и быстрые решения без долгих согласований. Задачи: — проектировать и разрабатывать backend-сервисы на Python для LLM-агентов и ML-пайплайнов (низкие задержки, высокая надёжность, observability) — выстраивать и развивать архитектуру агентских систем (оркестрация инструментов, память, планирование, безопасные guardrails, оценка качества) — внедрять ML System Design подходы: искать и применять передовые идеи и мировой опыт в области архитектур агентских систем — работать с данными и интеграциями: очереди/стриминг, базы, кэш, внешние API — проводить технические исследования (R&D), быстро прототипировать, измерять, масштабировать в прод — развивать платформу: тестирование, CI/CD, мониторинг, трассировка, расходы — влиять на инженерную культуру: код-ревью, дизайн-сессии, менторство. Требования: — от 4 лет промышленной backend-разработки на Python с акцентом на надёжность и производительность — опыт проектирования распределённых систем и высоконагруженных сервисов — уверенная математическая база (вероятность/статистика/оптимизация), инженерный вкус и привычка мерить всё метриками — практика работы с ML-системами в проде: фичи, офлайн/онлайн-оценка, A/B, наблюдаемость качества — навык разбираться в новых подходах (LLM-агенты, инструменты, память, RAG, оценка), критически их проверять и доводить до результата — готовность брать ответственность за продуктовые эффекты, а не только за код. Будет плюсом: — опыт построения agentic-архитектур (планировщики, многoшаговые цепочки, инструментализация, безопасность) — опыт реализации высокоэффективного инференса LLM моделей, глубокое понимание работы kernel для инференса — вклад в open-source или публикации/доклады — знание домена рисков.

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