Senior Design Engineer
Buffer is a social media management platform for scheduling, publishing, and analyzing posts across social networks. Remote work. 4-day workweek.
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Buffer is a social media management platform for scheduling, publishing, and analyzing posts across social networks. Remote work. 4-day workweek.
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Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. The company has 7M+ app downloads, 2M+ monthly active users, 7,000+ partner stores, and has raised US$310M+ from leading global investors. The team is Manila-based, globally distributed, and hybrid-first, spanning 45+ countries. About the role: You'll join the Python Development team to design and build new backend services, expanding engineering capacity so Salmon can launch strategically important new service lines. What you'll do: — Design and build new backend services in a microservice, event-driven environment, with reliability as the primary constraint. — Coordinate architecture and integrations with the Core and RBB teams to keep cross-team delivery consistent. — Contribute to the delivery of a major new service line, such as collections or cross-matching graphs, as business priorities take shape. What you'll own: — Own key components in the existing architecture and take on new service domains as they come up. — Design service architecture and choose communication patterns between services. — Instrument services with metrics for monitoring and alerting, and cover them with unit tests. — Identify and resolve technical debt and architectural bottlenecks. — Build and maintain shared libraries and tooling for recurring tasks. — Explore and adopt new instruments, and bring your own ideas to how we build. What makes you a strong fit: — 3+ years of production experience as a Python backend developer. — Strong Python skills including typing, testing, packaging, asyncio, threading, multiprocessing. — Production experience with microservice architecture. — Familiarity with event-driven systems such as Kafka. — Experience with Docker and Kubernetes, preferably on AWS EKS. Nice to have: — Experience with AWS and Terraform. — Knowledge of domain-driven design. — Experience with a statically typed compiled language. — Work experience in finance, antifraud or risk. — Experience with graph databases and graph-based data models. What we offer: — Build what's next in Southeast Asian fintech. — Ownership and flexibility. — Stock option plan with four-year vesting and 25% cliff after the first year. — Hybrid-first work model with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8). — Company-provided tools and equipment. — Office in Bonifacio Global City, Manila. — Medical insurance support for you and your family through co-funding or reimbursement, depending on location and policy limits. — Access to an internal mental health support specialist. — 22 vacation days, Philippine public holidays, and 15 sick days. — 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila. Relocation and family support: — Relocation support including flights, two weeks of accommodation, visas, paperwork, and logistics. — Reimbursement of eligible pet relocation expenses. — US$2,500 per year for flights home. — Baby and family stipends for employees relocating to Manila: US$1,000 per month for each child under two and US$500 per month for each child aged two to 18. Growth and team experience: — Opportunities to learn and share expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications. — Company-sponsored trips to Manila to meet and work with your team in person. — Regular team offsites, sports activities, and team events. — High-performing teams can earn a dedicated beach house week in Southeast Asia.
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Ключевая миссия CTO: построить инженерную организацию нового поколения. Ожидается построение AI Native Engineering Organization, внедрение AI PDLC как основного процесса разработки, организация работы автономных Tiny Teams, создание культуры постоянных экспериментов и быстрого вывода гипотез в продукт, широкое использование AI для автоматизации инженерной деятельности, сокращение времени полного цикла Idea → Prototype → MVP → Production, формирование инженерной культуры с акцентом на скорость обучения и внедрения инноваций. Задачи: — Определять и реализовывать технологическую стратегию направления совместно с Product Lead и бизнесом; — Отвечать за разработку и развитие ключевых продуктов направления: мобильного приложения нового поколения, AI-помощника, платформы персонализированного риск-профиля и интеллектуальных сервисов повышения качества и продолжительности жизни; — Формировать AI Native инженерную организацию для высокой скорости вывода новых продуктов и функций; — Внедрять современные практики AI PDLC на всех этапах жизненного цикла AI-продуктов; — Организовывать эффективный процесс исследований (R&D), быстрого прототипирования и проверки продуктовых гипотез; — Руководить несколькими автономными инженерными командами (Tiny Teams), обеспечивая их эффективность и ответственность; — Развивать практики агентной разработки (Agentic AI), AI Coding и использование AI-инструментов для автоматизации инженерной деятельности; — Формировать масштабируемую архитектуру AI-first продуктов для быстрого внедрения новых моделей, сервисов и сценариев; — Управлять архитектурой решений, техническим долгом и технологическими рисками; — Обеспечивать надежность, масштабируемость, наблюдаемость и безопасность сервисов промышленного уровня; — Развивать инженерную культуру, основанную на автоматизации, непрерывном обучении, экспериментах и улучшении процессов; — Формировать технологический roadmap направления и обеспечивать достижение бизнес- и продуктовых целей. Требования: — Опыт руководства несколькими инженерными командами разработки от 2 лет; — Опыт создания и развития современных цифровых продуктов с высокой скоростью поставки изменений; — Опыт формирования и реализации технологической стратегии продукта; — Практический опыт построения архитектуры мобильных и backend-продуктов промышленного уровня; — Опыт управления архитектурой, качеством разработки и техническим долгом; — Практический опыт внедрения AI PDLC или аналогичных процессов разработки AI-продуктов; — Глубокое понимание жизненного цикла AI-продуктов: Data → Prompt → Model → Evaluation → Production → Monitoring → Continuous Improvement; — Понимание современных подходов к разработке LLM-приложений, Agentic AI, Multi-Agent Systems, Tool Calling, MCP, Workflow Orchestration и Retrieval-Augmented Generation (RAG); — Практический опыт применения современных AI-инструментов разработки (Cursor, Claude Code, GitHub Copilot и др.); — Опыт построения процессов R&D, быстрого прототипирования и проверки продуктовых гипотез; — Опыт организации работы автономных инженерных команд (Tiny Teams); — Опыт разработки мобильных приложений и высоконагруженных backend-сервисов; — Понимание принципов построения персонализированных цифровых сервисов и работы с пользовательскими данными; — Понимание современных практик DevSecOps, CI/CD, Observability и Platform Engineering; — Опыт эффективного взаимодействия с продуктовой командой и бизнесом. Будет преимуществом: — Опыт создания AI-first продуктов на базе современных LLM; — Опыт построения агентных платформ или мультиагентных систем; — Опыт внедрения AI Native Engineering в инженерной организации; — Опыт организации процессов AI Quality Engineering, Continuous Evaluation и AI Observability; — Опыт создания персонализированных рекомендательных систем; — Опыт разработки AI Copilot, AI Assistant или AI Agent продуктов; — Опыт работы в MedTech, HealthTech, Digital Health или Wellness; — Опыт создания мобильных consumer-продуктов с высокой ежедневной активностью пользователей (DAU/MAU); — Понимание современных подходов Product Discovery, Experiment Driven Development и Lean Startup. Условия: — Формат: Гибридный (от 2-х дней в неделю, м. Технопарк); — Бесплатный доступ к телемедицине и очным приемам в частных клиниках (включая стоматологию и сессии с психологами); — Условия ипотечного кредитования от Сбербанка; — Индивидуальный план развития; — Обучение: английский с корпоративным преподавателем, скидки на курсы в Skyeng, компенсация обучения от ведущих платформ; — Официальное оформление, стабильные выплаты, оплата больничного и отпуска, современная техника; — Частичная компенсация спортивного абонемента, бесплатные занятия сквошем и футболом.
Ключевая миссия CTO: - Построение AI Native Engineering Organization; - Внедрение AI PDLC как основного процесса разработки; - Организация работы автономных Tiny Teams; - Создание культуры постоянных экспериментов и быстрого вывода гипотез в продукт; - Широкое использование AI для автоматизации инженерной деятельности; - Сокращение времени прохождения полного цикла Idea → Prototype → MVP → Production; - Формирование инженерной культуры, где скорость обучения и внедрения инноваций становится ключевым конкурентным преимуществом. Задачи: - Определять и реализовывать технологическую стратегию направления совместно с Product Lead и бизнесом; - Отвечать за разработку и развитие ключевых продуктов направления: мобильного приложения нового поколения, AI-помощника, платформы персонализированного риск-профиля и интеллектуальных сервисов повышения качества и продолжительности жизни; - Формировать AI Native инженерную организацию, обеспечивающую высокую скорость вывода новых продуктов и функций; - Внедрять современные практики AI PDLC на всех этапах жизненного цикла AI-продуктов — от идеи и исследований до промышленной эксплуатации; - Организовывать эффективный процесс исследований (R&D), быстрого прототипирования и проверки продуктовых гипотез; - Руководить несколькими автономными инженерными командами (Tiny Teams), обеспечивая их высокую эффективность и ответственность за конечный результат; - Развивать практики агентной разработки (Agentic AI), AI Coding и использования AI-инструментов для автоматизации инженерной деятельности; - Формировать масштабируемую архитектуру AI-first продуктов, обеспечивающую быстрое внедрение новых моделей, сервисов и пользовательских сценариев; - Управлять архитектурой решений, техническим долгом и технологическими рисками; - Обеспечивать надежность, масштабируемость, наблюдаемость и безопасность сервисов промышленного уровня; - Развивать инженерную культуру, основанную на автоматизации, непрерывном обучении, экспериментах и постоянном улучшении процессов; - Формировать технологический roadmap направления и обеспечивать достижение бизнес- и продуктовых целей. Требования: - Опыт руководства несколькими инженерными командами разработки от 2 лет; - Опыт создания и развития современных цифровых продуктов с высокой скоростью поставки изменений; - Опыт формирования и реализации технологической стратегии продукта; - Практический опыт построения архитектуры мобильных и backend-продуктов промышленного уровня; - Опыт управления архитектурой, качеством разработки и техническим долгом; - Практический опыт внедрения AI PDLC или аналогичных процессов разработки AI-продуктов; - Глубокое понимание жизненного цикла AI-продуктов: Data → Prompt → Model → Evaluation → Production → Monitoring → Continuous Improvement; - Понимание современных подходов к разработке LLM-приложений, Agentic AI, Multi-Agent Systems, Tool Calling, MCP, Workflow Orchestration и Retrieval-Augmented Generation (RAG); - Практический опыт применения современных AI-инструментов разработки (Cursor, Claude Code, GitHub Copilot и др.); - Опыт построения процессов R&D, быстрого прототипирования и проверки продуктовых гипотез; - Опыт организации работы автономных инженерных команд (Tiny Teams); - Опыт разработки мобильных приложений и высоконагруженных backend-сервисов; - Понимание принципов построения персонализированных цифровых сервисов и работы с пользовательскими данными; - Понимание современных практик DevSecOps, CI/CD, Observability и Platform Engineering; - Опыт эффективного взаимодействия с продуктовой командой и бизнесом. Преимущества: - Опыт создания AI-first продуктов на базе современных LLM; - Опыт построения агентных платформ или мультиагентных систем; - Опыт внедрения AI Native Engineering в инженерной организации; - Опыт организации процессов AI Quality Engineering, Continuous Evaluation и AI Observability; - Опыт создания персонализированных рекомендательных систем; - Опыт разработки AI Copilot, AI Assistant или AI Agent продуктов; - Опыт работы в MedTech, HealthTech, Digital Health или Wellness; - Опыт создания мобильных consumer-продуктов с высокой ежедневной активностью пользователей (DAU/MAU); - Понимание современных подходов Product Discovery, Experiment Driven Development и Lean Startup. Условия: - Формат: гибридный (от 2-х дней в неделю, м. Технопарк); - Бесплатный доступ к телемедицине и очным приемам в частных клиниках (включая стоматологию и сессии с психологами); - Условия ипотечного кредитования от Сбербанка; - Индивидуальный план развития; - Обучение английскому языку с корпоративным преподавателем, скидки на курсы в Skyeng, компенсация обучения от ведущих платформ; - Официальное оформление, стабильные выплаты, оплата больничного и отпуска, современная техника; - Частичная компенсация спортивного абонемента, бесплатные занятия сквошем и футболом.
Задачи: — Быть основным контактным лицом для стратегических корпоративных клиентов, строить многопоточечные отношения с разработчиками, продуктовыми командами и руководителями высшего звена — Выступать в роли технического эксперта в разговорах с клиентами, проверять архитектуру интеграций, устранять неполадки в реализации API и консультировать по лучшим практикам по всему портфелю продуктов Vonage (SMS, Voice, WhatsApp, RCS, Video, Verify и др.) — Проводить ежеквартальные бизнес-обзоры (QBR), выявлять риски для здоровья клиентов и сотрудничать с техническими экспертами, продуктовой и инженерной командами для решения сложных задач — Отвечать за рост доходов и прямой маржи по своему портфелю, точно прогнозировать и реализовывать стратегии удержания и расширения — Разрабатывать планы успеха, ориентированные на результаты, согласованные с бизнес-целями каждого клиента, обеспечивая измеримое принятие платформы и долгосрочную отдачу от инвестиций — Выявлять и развивать возможности для дополнительной продажи и перекрестных продаж, связывая кейсы клиентов с новыми или недостаточно используемыми возможностями, тесно сотрудничать с отделом продаж, используя данные об использовании, оценки здоровья и метрики вовлеченности — Сотрудничать с техническими менеджерами решений (TSM) в рамках модели pod для сложных решений и эскалаций, сохраняя полную ответственность за коммерческие результаты Требования: — Свободное владение английским и немецким/французским языками — Более 5 лет опыта в техническом управлении аккаунтами, успехе клиентов или аналогичной стратегической роли с сильной технической базой в API или продуктах для разработчиков — Глубокие практические знания CPaaS или API платформ: мессенджинг (SMS, WhatsApp Business Platform, RCS), Voice/VoIP, Video и решения для аутентификации/Verify — Твердое понимание REST API, вебхуков, SDK и паттернов интеграции ПО, умение читать документацию API и участвовать в техническом устранении неполадок вместе с клиентами — Подтвержденный опыт управления и развития сложных корпоративных аккаунтов с значительной ответственностью за ARR — Исключительные коммуникативные навыки, способность вести глубокие технические разговоры с разработчиками и инженерами, а также ясно объяснять эти концепции бизнес- и исполнительной аудитории — Ориентация на данные, умение использовать оценки здоровья клиентов, аналитику использования и метрики вовлеченности для выявления рисков и возможностей роста (Salesforce, Gainsight или эквивалент) — Способность ориентироваться в сложных многостейкхолдерных средах и достигать согласия по конкурирующим приоритетам Плюсы: — Прямой опыт работы в CPaaS провайдере (например, Vonage, Twilio, Sinch, Infobip, MessageBird) — Знакомство с платформами разговорного ИИ, чатботами или стратегиями омниканального взаимодействия — Знание протоколов VoIP, SIP или WebRTC — Степень бакалавра в области компьютерных наук, информационных технологий, инженерии или смежных областей Условия: — Возможность значительного влияния на стратегический опыт клиентов и рост бизнеса — Конкурентоспособная зарплата и возможности карьерного роста — Частная медицинская страховка (Adeslas) — Групповой пенсионный план (Generali) — Страхование жизни и от несчастных случаев (VidaCaixa) — Линия поддержки Ericsson Care — Дискреционное время отдыха (DTO)
SeekOut is the leading Enterprise Talent Optimization Platform that companies use to quickly hire, grow, and retain great talent while focusing on diversity, technical expertise, and other hard-to-find skillsets. In 2022, SeekOut was named on the Forbes annual list of America’s Best Startup Employers and CEO Anoop Gupta was crowned GeekWire’s Startup CEO of the Year. Throughout 2021, SeekOut was ranked number two in the B2B category of The Information’s 50 Startups to Watch list, and was included on Madrona’s Intelligent Apps Top 40 list. Founded in 2017 by top executives and engineers from Microsoft, SeekOut has raised $189 million in funding, is backed by Tiger Global Management, Madrona Venture Group, Mayfield, and Founders Circle Capital and was valued at $1.2 billion in its recent Series C round. Additional Information: SeekOut offers great benefits including health/vision/dental, transportation subsidies, 401k, education budgets, ability to work remote, onsite parking (if/when we go back to the office), snacks/lunches, and more! We are an inclusive, open, energetic, caring team, that is learning and growing, pulling in the same direction to deliver out sized results, while still having fun. SeekOut condemns discrimination, racism, and racial injustice in all forms. Committed to attracting and retaining a diverse staff, SeekOut will honor your experiences, perspectives, and unique identity. Together, we strive to create and maintain working and learning environments that are inclusive, equitable and welcoming. We are accelerating our efforts through our products and policies to take action and advance definitive, measurable policies and practices that eliminate racism and discrimination. SeekOut is proud to be an equal opportunity employer. We are committed to inclusion of all individuals and will make reasonable accommodations for qualified individuals with disabilities in our job application process. If you require assistance or accommodations to participate in the job application or interview process, please contact HR@seekout.com.
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The Client Solutions & Analytics engineering team builds and maintains a suite of proprietary quantitative platforms spanning portfolio construction and optimization, retirement and defined contribution solutions, Capital Market Assumptions, multi-asset risk analytics, and institutional client intelligence tooling. Responsibilities: — Design and implement RESTful APIs using Python frameworks (FastAPI, Django, Tornado) — Build and maintain data pipelines and backend services for analytics workloads — Design and optimize database schemas across relational, NoSQL, and cloud data stores — Work with structured and unstructured data across Snowflake, Postgres, S3, and MongoDB — Collaborate closely with quantitative researchers, frontend engineers, and business stakeholders — Contribute to system design and architecture decisions — scalability, reliability, security — Monitor and troubleshoot production systems using observability tooling Requirements: — 9+ years of backend development experience — Strong Python proficiency — the team's primary language — Solid hands-on experience with Postgres, Snowflake, MongoDB, and S3 — Strong grasp of data modeling (ER design) and system design principles — Interest in AI-assisted development and modern developer tooling — Experience building and shipping production-grade REST APIs We offer: — Flexible work setup: remote model (Poland, Serbia, Georgia, Spain, Portugal, Armenia) or hybrid if desired (Poland) — Health insurance coverage for those based in Poland — 50% coverage of health insurance for spouses and children in Poland — 24 days of paid vacation — 10 days of paid sick leave — 50% reimbursement for professional training, education, conferences — Work alongside a highly professional team — Engaging teambuilding events and activities
6 000 – 8 000 $
Задачи: — Проектирование ИТ-архитектуры международных проектов и создание единого подхода к запуску ИТ-инфраструктуры в новых странах; — Локализация и интеграция систем: адаптация российских технологических решений под международный контур, интеграция скоринговых инструментов с локальными CRM, учетными базами и внешними продуктами; — Выбор технологического стека: подбор оптимальных решений (CRM, data platforms, cloud-сервисы, BI, ETL) для обеспечения быстрой и системной реализации проектов; — Hands-on подход к разработке: активное участие в работе с кодовой базой, архитектурными ограничениями и сложными интеграциями; — Кросс-функциональное взаимодействие с бизнесом, аналитиками, локальными командами и руководством международного проектного офиса. Требования: — Senior-level специалист с опытом DevOps, построения ИТ-архитектуры и запуска сложных технологических продуктов; — Опыт работы с облачной инфраструктурой, современными SaaS-решениями, Cloud CRM, Databricks, data platforms, API, BI, workflow и интеграционными инструментами; — Самостоятельность, зрелость, hands-on подход и ориентация на бизнес-эффективность, масштабируемость и time-to-market; — Опыт работы с зарубежным ИТ-ландшафтом и запуск продуктов на новых рынках будет преимуществом; — Понимание специфики финансовой инфраструктуры будет преимуществом. Условия: — Возможность полностью удаленной работы из любой точки мира; — Конкурентная оплата труда и прозрачная бонусная система; — Работа с масштабируемыми и высоконагруженными сервисами; — Возможность влиять на международный рост компании и развитие новых направлений бизнеса.
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About TestGorilla: TestGorilla is a 100% remote company founded in 2020, building a skills-based talent discovery platform to replace reliance on resumes with scientific validation of skills. The company aims to place 1 billion people in their dream jobs and is currently scaling up. About the role: The Senior People & Talent Operations Partner owns People Ops as a product, including systems, compliance, and self-serve workflows that enable the People & Culture function to run efficiently. The role involves managing payroll, compliance, and HR systems across 35 countries, building AI/automation and self-serve layers, and working in a lean two-person team directly with the Head of People & Culture. The role requires autonomy, candid communication, empathy, structure, and organization. Responsibilities: — Uphold company behaviors and foster an inclusive, supportive culture. — Design, build, and maintain a smart, automated, AI-enabled people journey from pre-boarding to off-boarding. — Be the technical owner and orchestrator of the HR tech stack, ensuring tools are unified and integrated. — Own non-Finance payroll, invoicing, contract administration, and compliance across all operating countries. — Manage data privacy, recordkeeping, and the relationship with the Employer of Record (EOR) vendor. — Configure and troubleshoot hiring tools to enable hiring managers to run searches independently. — Maintain documentation for self-serve processes accessible to humans and AI agents. — Collaborate to maintain a balance between self-serve and human involvement in People processes. Requirements: — Passion for TestGorilla's mission. — Excellent written and verbal English communication skills. — Experience building and owning sophisticated automations (Zapier, n8n, Make.com) as part of an integrated HR tech stack. — Experience managing payroll, compliance, or HR operations across multiple countries, ideally with EOR or mixed entities. — Deep, hands-on HRIS experience; HiBob experience is a plus. — Product mindset focused on user feedback and iteration. — Experience working in high-autonomy, async-first, remote-only environments. — Ability to combine operational rigor with empathy and handle sensitive matters. — Opinionated, candid, with strong feedback and stakeholder management skills. — Typically 5+ years of relevant experience, but emphasis on ownership, impact, and progression. Bonus skills: — Experience with ATS or hiring platforms like Ashby, Greenhouse, or Lever. — Experience with EOR providers such as Remote, Deel, or Oyster. — HRIS implementation or migration experience. — Experience supporting teams through organizational change. Conditions: — Hired as an Individual Contractor. — Fully remote global team. — Competitive base pay €56,520 - €70,650 plus Share Appreciation Rights (SARs), no bonus. — Remote and flexible work with asynchronous hours. — Remote work budget €1,000 per year or up to €2,000 from day one for laptop purchase. — Learning and development budget of 3.5% per year with growth opportunities. — Caregiver support including paid parental leave and tailored return-to-work. — Unlimited and flexible time off policy. Application process: Candidates apply via the provided link and complete an AI-powered skills assessment. Hiring decisions are made by humans. Support and accommodations are available for assessments. Applications close September 20, with interviews following.
About Peec AI Peec AI is the visibility platform for the age of AI search. The way people discover brands is being rewritten. ChatGPT, Claude, Google AI Mode and Copilot now sit between companies and their customers, and most brands have no idea what those models say about them. We built the platform marketing teams use to measure, understand and improve how they show up inside AI answers. We went from 0 to $15M ARR in 18 months. We're around 80 people, based in Berlin with a growing presence in New York, and we're moving fast enough that the people joining now are writing the playbook everyone after them will run. The core Peec AI product is how a brand sees itself inside AI search. Most of what it needs to become has not been built yet, and this PM will define and own it. We're looking for someone to decide what an entire product surface should be and then ship it. What You'll Do — Take new product areas from nothing to shipped, owning the problem end to end — Define what a brand's presence inside AI search should look like, working directly with our founders and customers on a category that is still being written — Go broad on the problem space before narrowing on solutions, and hold that discipline when everyone wants an answer immediately — Partner with Data, Engineering and Design to build and launch AI-native features at scale — Set the bar for how the product looks and feels, not just what it does — Own the customer relationship for your product area. Discovery calls, onboardings, and see people actually use what you built Who You Are — 3+ building excellent software products, ideally at a startup or fast-moving company — You have built new products rather than maintained and improved existing ones, and you can point to what you shipped — Experience shipping AI-powered products and systems that operate at scale — Genuine design judgement — Technical enough to work as a peer with engineers and data scientists — Experience in a product-led growth environment — You operate with very little direction. You pick up an ambiguous area and come back with a direction — Excited to be in our Berlin office five days a week — We care more about what you have built than how long you have been building. If you have fewer than three years but the work speaks for itself, apply anyway. Bonus Points — A design background, or a portfolio of things you have designed yourself — Previous founder experience — Background in Computer Science or a technical field — Previous experience building AI-driven or search-related products What We Offer — Exciting and challenging work with real impact and ownership at one of Europe's fastest-growing Series A startups — Regular team events and off-sites — Aggressive equity compensation package — Paid Dinner & Uber home when working late — The most beautiful office space and work environment in Berlin
Roundz.ai is an AI platform for conducting technical interviews and automatically screening candidates, designed specifically for the IT industry and engineering hiring.
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Synthesia Roleplay Sessions is a training tool that lets people practice real conversations with AI avatars. Instead of just watching training videos, learners do interactive roleplay exercises, like practicing a sales pitch or handling a customer complaint with an AI coach. The AI gives instant feedback so people know what they did well and what to improve. Managers can use a dashboard to track which employees have completed their training, see how well they performed, and measure if the training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during roleplay, score their performance, generate helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product-focused software developer as you will be expected to work on different products. Please bring with you: — Ability to apply your machine learning knowledge to solve real product problems. — At least seven (7) years of experience as a software engineer, with at least 2 years at senior level. — Experience in a high-performing engineering team operating at scale, whether in a scale-up or established organisation recognised for strong engineering culture. — Strong alignment with commercial success. — Pragmatism and bias towards action. — Comfort with fast iteration. Why join us? — We’re living the golden age of AI. — Our culture is focused on building and empowering people to work fast. — Serving 50,000+ customers including 50% of the Fortune 500. — Proprietary AI technology built in-house by world-class AI researchers and engineers. — Commitment to AI safety, ethics, and security. The hiring process includes: — Tech Recruiter Interview (30-40min) covering technical background and experience. — Delivery and Impact Interview (60min) deep dive into past projects and impact. — Technical Rounds including Work Scenario Round (75-90min) and System Design Technical Discussion (60min). — Leadership Retrospective (60min) discussing collaboration, growth, and role expectations. — Final debrief leading to offer or end of process. Other important info: — Preference for role based in-office or remote in UK, Germany, Switzerland or Ireland, with possible support for remote workers elsewhere in Europe. — Salary starts at EUR/GBP/CHF 120,000 base plus RSUs. — Full-time employment only, no contractors. — 25 days of leave plus local holidays.
eClinical Solutions helps life sciences organizations accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud, which provides centralized data access and advanced analytics for smarter business decisions. eClinical Solutions is focused on innovation in clinical trials through improved data management and analytics, using their elluminate technology platform to speed up timelines and automate manual processes. The role involves contributing to this agile data management approach, enabling clients to proactively manage clinical programs and make informed decisions.
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Banco Plata is a major fintech platform in Latin America operating under the Open Finance principle. Languages required: Spanish (fluent), English (professional working proficiency).
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Proxet is a company that provides product and platform engineering, data engineering, AI/ML, and cloud transformation services. Languages required: English (fluent), Polish (fluent). Work format: Remote (Poland).
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About the Role As a Customer Success Manager at Abnormal AI, you will serve as the primary liaison between customers and internal teams, focusing on successful onboarding, adoption, and ongoing value delivery. You will build and nurture strong customer relationships, align on business goals, and drive measurable outcomes through best practice adoption and strategic planning. You will proactively identify opportunities and risks to help customers maximize their investment and contribute valuable feedback for product improvements. Your role involves collaboration with cross-functional teams and maintaining customer satisfaction and retention. Who you are - Skilled at building trust and maintaining relationships with stakeholders at various organizational levels, including executives - Action-oriented, analytical, and collaborative in approach to customer success and issue resolution - Dedicated to delivering measurable customer value and ensuring satisfaction throughout the customer lifecycle - Strong verbal and written communication skills, comfortable handling both strategic discussions and technical conversations - Solid technical understanding of SaaS products, including internet technologies, networking, and email security solutions - Proven track record of driving product adoption and supporting long-term customer growth What you will do - Act as the main point of contact for assigned customers, developing strategic relationships and guiding platform adoption and success planning - Deliver regular business reviews (QBRs/EBRs), clearly communicating ROI and aligning on success metrics to support retention and expansion - Understand customers’ industries, goals, and challenges to provide tailored recommendations and align internal and external stakeholders on success objectives - Promote awareness and usage of key platform features, provide ongoing education, and identify opportunities for expanded adoption - Proactively monitor customer health, manage escalations, and collaborate with Product, Engineering, Support, and Sales teams to resolve issues and share actionable insights - Maintain expert knowledge of the product roadmap and communicate relevant updates and enhancements to customers - Coordinate with internal teams to develop and execute customer success plans, addressing risks before they impact engagement or satisfaction Must Haves - 5+ years of experience in enterprise SaaS, with at least 3+ years in Customer Success, TAM, or support roles - Proven ability to manage large customer portfolios and develop long-term relationships, including at the executive level - Excellent communication, presentation, and organizational skills, capable of managing both strategic and technical conversations effectively - Strong problem-solving skills and experience resolving escalations while maintaining a positive customer experience - Proficiency with CRM and case management tools such as Salesforce and Jira - Technical proficiency related to internet technologies, networking, and email security products - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience
We are seeking an elite, hands-on Senior Security Compliance Consultant (SOC 2 & GRC Specialist) to lead a critical, company-wide SOC 2 Type II audit readiness initiative. In this strategic engagement, you will perform comprehensive gap analyses, assess existing security controls, design robust compliance workflows, and drive cross-functional teams toward audit completion. The ideal candidate brings a proven track record in GRC frameworks, control mapping, evidence automation, and policy development. Utilizing automated compliance platforms such as Sprinto, you will build repeatable compliance processes, validate technical controls, and ensure a seamless audit experience across the entire organization. General Information (About the Client): Our client is a fast-scaling, cloud-native technology platform committed to maintaining enterprise-grade trust, security, and data privacy. To support their rapid commercial growth and enterprise sales pipeline, they are establishing a formal, highly disciplined security governance model. They operate a modern, cloud-first environment where compliance is treated not as a passive checklist, but as an active, automated operational advantage. By leveraging modern GRC platforms and fostering a security-conscious culture, they provide an empowering environment for compliance experts to drive real architectural and procedural improvements. Tasks and Deliverables: SOC 2 Readiness & Gap Analysis: Conduct a thorough assessment of existing technical and operational security controls, pinpointing compliance gaps and building an actionable remediation roadmap. Control Design & Implementation: Author, refine, and operationalize security controls, policies, and procedures aligned with SOC 2 Trust Services Criteria (TSC) and PCI DSS standards. Automated Evidence Collection: Lead evidence-gathering workflows using automated GRC tooling (Sprinto), ensuring all technical artifacts, access logs, and policy attestations are validated and audit-ready. PCI DSS Guidance: Provide expert advisory on maintaining PCI DSS alignment alongside SOC 2, ensuring overlapping control requirements are mapped efficiently to reduce operational drag. Cross-Functional Coordination: Collaborate with engineering, DevOps, HR, and IT teams to embed compliance workflows into daily operations without slowing down feature execution. Auditor Interface & Readiness: Serve as the primary liaison during the audit preparation phase, coordinating directly with external auditors to present evidence, resolve findings, and ensure a successful audit cycle. Required Experience: SOC 2 Mastery: Proven track record of leading end-to-end SOC 2 readiness, gap remediation, and audit preparation initiatives for cloud-native or B2B SaaS companies. GRC & PCI DSS Acumen: Deep familiarity with Governance, Risk, and Compliance (GRC) frameworks, risk assessment methodologies, and PCI DSS compliance requirements. Tooling Proficiency (Sprinto): Direct, practical experience leveraging automated compliance and evidence-collection platforms, specifically Sprinto (or equivalent modern platforms like Vanta/Drata). Policy & Control Mapping: Exceptional capability to author clear, enforceable security policies and translate abstract regulatory requirements into concrete engineering controls. Cross-Functional Facilitation: Strong stakeholder management skills with a history of driving accountability across distributed engineering, product, and operations teams.
Who we need We are looking for a Junior DevOps Engineer to support and develop the infrastructure of a large-scale IT product. This is a great opportunity to grow quickly as a professional, work with modern technologies, automate routine tasks, participate in real incidents, and be part of a friendly engineering team. Responsibilities: Administration and support of service operations Setting up build and code delivery processes (CI/CD) Automation and optimization of routine tasks Key qualifications 1.5+ years of commercial DevOps experience Experience working with Linux Knowledge of Ansible Knowledge of Docker Experience with Kubernetes (6+ months) Conversational English level B1 (Intermediate) or higher Nice to have: Basic operational knowledge of PostgreSQL Experience working with a large number of bare-metal servers Experience with cloud platforms (e.g., AWS, OVH, Cloudflare) We offer you Flexible schedules and opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation.
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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56 520 – 70 650 €
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от 120 000 €
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