-Разрабатывать и сопровождать фронтальную часть новой системы на базе React 18/19 и TypeScript. -Проектировать архитектуру клиентского приложения с нуля: выделять переиспользуемые компоненты, модули и слои приложения, закладывая основу для долгосрочного развития.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
As a VP of AI Transformation will be responsible for defining and executing Humanoid's enterprise-wide AI transformation strategy.
This leader will establish the vision, operating model, governance framework, and execution roadmap required to enable AI adoption across all business functions. Working closely with the CEO, Executive Leadership Team, Business Transformation, IT, Engineering, and functional leaders, you will drive Humanoid's evolution into an AI-native company.
You will lead the AI Transformation Office and oversee a cross-functional team, including AI Leads across Engineering, Business Operations, Back Office Functions, and Executive Operations. You will ensure that every AI initiative delivers measurable business value while maintaining the highest standards of security, compliance, governance, and operational excellence.
This is a highly strategic leadership role with significant influence over the future operating model of the company.
WHAT YOU'LL DO:
AI Transformation Strategy
- Define and execute Humanoid's enterprise AI transformation vision and roadmap.
- Develop a company-wide AI strategy aligned with business objectives and growth plans.
- Establish priorities, investment frameworks, and governance structures for AI initiatives.
- Advise executive leadership on emerging AI opportunities, risks, and market developments.
- Build an AI-first culture focused on innovation, productivity, and continuous improvement.
- Drive the adoption of AI agents, intelligent automation, and AI-enabled workflows across the organization.
AI Operating Model & Continuous Improvement
- Own and evolve Humanoid's AI-Powered Continuous Improvement Flywheel.
- Establish transformation governance, operating cadences, reporting mechanisms, and executive review forums.
- Embed AI initiatives into business planning, capability maturity assessments, and operational reviews.
- Identify, prioritize, and scale high-impact AI use cases across all functions.
- Ensure successful pilots are translated into enterprise-wide capabilities.
- Drive the development of AI-native ways of working across the organization.
Enterprise AI Governance
- Establish policies, standards, and controls for responsible AI deployment.
- Define governance frameworks covering:
- AI ethics and responsible AI
- Security and cyber risk management
- Data governance and privacy
- Human-in-the-loop controls
- Model evaluation and monitoring
- Compliance and audit readiness
- AI vendor and platform governance
- Ensure all AI solutions align with corporate, legal, and regulatory requirements.
Organizational Transformation & Change Management
- Lead enterprise-wide AI adoption and change management programs.
- Build AI literacy across leadership teams and employee populations.
- Establish AI Champions networks and communities of practice.
- Drive workforce enablement and behavioral change initiatives.
- Foster a culture where AI augments human capabilities, accelerates decision-making, and improves productivity.
Business Impact & Value Realization
- Define KPIs and success metrics for AI transformation initiatives.
- Measure and report:
- Automation maturity
- Productivity improvements
- ROI of AI initiatives
- User adoption
- Quality and accuracy outcomes
- Cost efficiencies
- Operational performance improvements
- Present transformation progress, outcomes, and strategic recommendations to the Executive Leadership Team and Board.
Cross-Functional Leadership
- Lead and mentor AI Leads and transformation teams across the business.
- Partner closely with:
- CEO and Executive Leadership Team
- Business Transformation
- Engineering
- IT
- Finance
- HR
- Supply Chain
- Compliance
- Cybersecurity
- Align AI initiatives across functions to avoid duplication and maximize business impact.
- Promote collaboration between technical and business teams.
Innovation & External Ecosystem
- Continuously evaluate emerging AI technologies, platforms, and market developments.
- Build relationships with AI vendors, research institutions, industry partners, and startups.
- Identify opportunities to create competitive advantage through AI.
- Benchmark Humanoid against leading AI-native organizations and establish best practices.
WHAT WE'RE LOOKING FOR
- 10+ years of experience in business transformation, digital transformation, enterprise technology, AI strategy, or AI leadership roles.
- Proven track record leading large-scale organizational transformation programs.
- Deep understanding of artificial intelligence, machine learning, generative AI, agentic AI systems, automation, and enterprise AI platforms.
- Experience designing enterprise operating models, governance frameworks, and transformation programs.
- Strong understanding of business process transformation and continuous improvement methodologies.
- Experience leading cross-functional initiatives involving business, technology, and operations teams.
- Exceptional executive communication and stakeholder management skills.
- Strong analytical, strategic, and systems-thinking capabilities.
- Demonstrated ability to translate emerging technologies into measurable business outcomes.
- Experience building AI adoption programs at enterprise scale.
Nice to have:
- Experience building AI Centers of Excellence (CoE) or enterprise AI programs.
- Experience deploying AI agents and intelligent automation solutions at scale.
- Background in robotics, advanced manufacturing, industrial automation, or deep-tech organizations.
- Familiarity with Lean, Six Sigma, capability maturity frameworks, and operational excellence methodologies.
- Experience with enterprise knowledge management and AI-driven decision support systems.
- MBA or advanced degree in Engineering, Computer Science, Business, or a related field.
WHAT SUCCESS LOOKS LIKE:
Within your first 12 months, you will have:
- Established Humanoid's AI Transformation Office and governance framework.
- Embedded AI maturity assessments into business capability reviews.
- Delivered multiple AI initiatives with measurable business impact.
- Built and operationalized an AI-first operating model across engineering and business functions.
- Increased automation maturity across critical value streams.
- Improved productivity through AI-enabled workflows and intelligent automation.
- Created a sustainable AI adoption culture supported by governance, training, and continuous improvement.
- Positioned Humanoid as one of the world's leading AI-native robotics companies.
WHAT WE OFFER
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays.
- Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
- Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
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• Развивать R&D-функцию, генерировать новые идеи и превращать их в реальные продукты и бизнес-результаты. • 10+ лет опыта в R&D / технологиях / инженерных функциях в пищевой FMCG;
Москва
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Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Build the iOS platform that helps engineers ship confidently. As Notion’s mobile team grows, we’re turning the first generation of mobile foundations into a durable platform: clearer architecture, ergonomic testing, dependable observability, and faster CI/CD. This role is broad—you’ll shape the iOS stack end to end, from shared frameworks and build systems to release quality, with opportunities to work across our shared Rust layer and AI infrastructure for mobile development. You’ll pair with mobile AI and core product engineers to understand friction, evaluate new iOS capabilities, and decide what should become part of the platform.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE
- Make the iOS platform agent-ready: Give engineers and agents dependable ways to build, run, test, screenshot, and iterate through the app so mobile teams can move faster without lowering the quality bar.
- By the end of your first year, define how iOS features are built: establish architecture and ship developer tools, then partner with product engineers to adopt them.
- Raise the bar for iOS reliability and release quality: Improve the systems that catch regressions, prevent incidents, and help engineers understand issues quickly across builds, tests, observability, and CI/CD.
SKILLS YOU'LL NEED TO BRING
- Deep iOS engineering experience at scale: You’ve helped build and deploy mobile applications used by millions, and understand the reliability, performance, and operational practices required at that scale.
- Platform or infrastructure experience: You’ve worked below the product-feature layer on mobile CI/CD, testing platforms, build systems, developer tooling, or shared frameworks—and can turn recurring friction into durable systems.
- Strong architectural judgment: You’re familiar with multiple approaches to iOS architecture and can explain the trade-offs clearly, choosing patterns that make features easier to build, test, and maintain.
- Cross-functional influence: You can partner closely with product engineers, understand their pain points, and earn adoption for new platform APIs, workflows, and standards without relying on authority.
- AI-native engineering practice: You use AI tools and agents as real collaborators, framing tasks clearly, reviewing generated changes, testing behavior, and designing workflows that make the broader team more effective.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $150,000 - $168,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Задачи:
— Дизайн, реализация и запуск задач целиком
— Улучшение и оптимизация системы
— Разбор проблем в продакшене
Требования:
— Сильный сеньор, способный взять задачу целиком
— 5+ лет продакшн-опыта на C#/.NET
— Опыт работы с распределёнными системами под реальной нагрузкой
— Глубокие знания SQL Server
— AI-native: опыт работы с Claude Code или аналогичными инструментами
— Привычка к постоянному улучшению системы, выявлению и устранению проблем
— Стек: C#/.NET, GraphQL, gRPC, MediatR/CQRS, EF Core, SQL Server, Redis, Kafka, MassTransit, AWS, Kubernetes/Helm, Argo CD, OpenTelemetry
Условия:
— B2B
— Полная удалёнка
— Гибкий график
— Оплачиваемый AI-тулинг (Claude Code и другие инструменты для ускорения работы)
— Возможности роста до тех-лида / владельца домена
Задачи:
— Поддерживать, разрабатывать и выпускать iOS и Android приложения в Apple App Store и Google Play
— Создавать полностековые фронтенд и бэкенд функции с бесшовными интеграциями API (торговая платформа, CRM, платежи, KYC)
— Внедрять функции на основе ИИ в приложение и использовать рабочие процессы кодирования на основе ИИ (Codex, Claude Code, Cursor)
— Брать на себя полную ответственность от требований до тестирования, CI/CD и развертывания в продакшене
— Обеспечивать высокую производительность, надежную безопасность, масштабируемость и отладку системы
Требования:
— Сильный опыт на уровне Senior в полностековой и мобильной разработке приложений (iOS и Android)
— Глубокий технический опыт в интеграции API (Fintech, CRM, Trading, KYC, PSPs)
— Подтвержденная способность понимать, рефакторить и брать на себя ответственность за существующие продакшн кодовые базы
— Опыт работы с современными инструментами кодирования ИИ и интеграцией функций ИИ в живые приложения
— Независимый, самоорганизованный подход, способный управлять полным жизненным циклом разработки
Условия:
— full-time
Компания: Fintech / Trading — компания из сферы финансовых технологий и трейдинга
Формат работы: удалённая (Кипр)
Java Big Data Developer IT Вакансии Разработка и интеграция с распределенными системами хранения и обработки данных в экосистеме Big Data. Роль для специалиста, уверенно владеющего Java и имеющего практический опыт работы с Hadoop и Greenplum.
- Frontend: React 18 или 19 и TypeScript, современный сборщик (Vite), управление серверным состоянием (TanStack Query или аналоги), компонентные библиотеки (MUI или аналоги), архитектура крупного SPA (Feature-Sliced Design или сопоставимый подход). проектирование REST API, аутентификация и управление сессиями, работа с PostgreSQL.
— Проектировать архитектуру и развивать backend-сервисы для хранения и процессинга данных. — Отвечать за техническое качество: code review, стандарты разработки, тестирование, документацию.
ОфисleadЛимассол
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Show contacts Job description Разработка и доработка backend-сервисов на Python по техническим заданиям; разработка unit-тестов и участие в code review.
УдалённоmiddleГеография найма не уточнена
ОфисUK, London
ГибридSan Francisco, California; New York, New York