Задачи:
— Работа на проектах HR-тех, в команде размером 10+ человек
— Активная вовлечённость в постановку и анализ задач
— Fullstack-разработка новых бизнес-процессов систем найма сотрудников
— Прямая работа с заказчиком
— Поддержка существующих уже реализованных процессов в сервисах
Требования:
— Больше двух лет разработки на Python
— Опыт разработки web-сервисов в монолитной и микросервисной парадигме
— Уверенное знание SQL или DjangoORM
Будет плюсом:
— Опыт разработки на Django, Django-ninja
— Опыт фронтенд-разработки на TypeScript/React или желание обучиться фронтенд-разработке
Задачи:
- Разрабатывать и развивать высоконагруженные сервисы Feature Store.
- Проектировать и внедрять надежные и масштабируемые решения для хранения и обработки данных.
- Интегрировать сервисы с ML-пайплайнами и инфраструктурой данных.
- Оптимизировать производительность, устойчивость и отказоустойчивость системы.
- Принимать участие в архитектурных решениях и техническом развитии платформы.
Требования:
- Уверенное знание Java.
- Опыт разработки под Linux.
- Понимание принципов работы распределённых систем.
Location: England; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
The Secure Build team builds and operates the infrastructure behind Docker's container builds. The team owns Docker Build Cloud and Auto Builds while developing the next generation of trusted build and CI capabilities.
Software is being changed faster than ever, but CI remains a bottleneck and a major trust boundary. Developers and software agents need to run build and test work quickly without exposing secrets, losing local-to-cloud parity or accepting an unverifiable result. Our direction is to make Docker the trusted place CI runs and turn that constraint into an accelerator.
The technical work spans Go services, container and build technology, cloud infrastructure, isolated execution and software supply-chain security. It also requires disciplined operation of the production systems customers rely on today. Docker Build Cloud and Auto Builds will need targeted reliability and operational improvements while useful capabilities evolve towards a coherent Secure Build platform.
As a Senior Software Engineer, you will turn these problems into practical product and technical outcomes. You will own substantial work from discovery and design through production, make sound security and reliability trade-offs, and stay close to the experience of developers and the agents they delegate work to.
We make extensive use of AI-assisted engineering tools. We expect engineers to use them thoughtfully, validate their output and remain accountable for the quality and security of what ships.
SUCCESS IN THIS ROLE LOOKS LIKE
You will succeed by becoming an end-to-end owner for secure, reliable build infrastructure. Within your first year, you should have delivered a material secure-build or CI capability, reduced operational risk in Docker Build Cloud or Auto Builds, and become a trusted partner to the teams and customers that consume the platform.
RESPONSIBILITIES
- Turn developer, agent and security problems into clear requirements, staged technical decisions and measurable outcomes.
- Design, build and operate Go services and APIs that power Docker's build and secure-CI infrastructure.
- Develop isolation, identity, policy, provenance, attestation and signing capabilities for trusted build and test jobs.
- Work with container, OCI, BuildKit, cloud and isolated-execution technologies to deliver secure and reproducible workflows.
- Own features from technical design through rollout, observability, incident response and ongoing maintenance.
- Keep Docker Build Cloud and Auto Builds reliable, make targeted improvements that reduce operational load, and help their capabilities evolve towards the wider Secure Build direction.
- Make practical security trade-offs and use threat modelling to guide designs without blocking delivery.
- Design for a clear developer experience, including workflows initiated or consumed by software agents.
- Partner with Product, Security, Developer Experience, Registry and other platform teams on end-to-end customer workflows.
- Participate in the team's paid on-call rotation and drive improvements from incidents and recurring operational work.
- Communicate decisions, risks and progress clearly in a remote, async-first environment.
QUALIFICATIONS
REQUIRED
- 6+ years of software engineering experience, with demonstrated technical leadership on production systems at scale.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong backend engineering experience building and operating distributed systems in production.
- Production experience with Go and the ability to write, test, review and debug maintainable Go services.
- Experience with containers and build or CI systems, such as OCI, BuildKit, Buildx, GitHub Actions or comparable platforms.
- Experience with cloud-native infrastructure and a major cloud platform.
- A strong operational mindset covering observability, reliability, incident response and on-call ownership.
- Evidence of taking a feature or service from an ambiguous problem through production operation and measurable results.
- Working knowledge of security boundaries, identity, secrets and common software supply-chain risks.
- A strong product mindset and care for developer workflows, including experiences used by software agents.
- Clear written and spoken communication suited to a remote, async-first company.
HELPFUL, BUT NOT REQUIRED
- Experience with Kubernetes.
- Experience with SLSA, in-toto, SBOM, VEX, Sigstore, cosign, provenance or artefact signing.
- Experience with sandboxing, microVMs, untrusted workload execution or multi-tenant infrastructure.
- Experience building hosted CI runners, remote builders or developer-platform infrastructure.
- Experience with agentic development workflows or building systems used programmatically by software agents.
- Experience evolving a legacy production system while delivering new capabilities.
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Docker Build Cloud, Auto Builds and the Secure Build product and technical direction.
- Pair with the Secure Build team on core services, deployments and operational practices.
- Ship a useful production change and take part in an operational review or incident-learning session.
- Understand the secure-CI threat model and build relationships with DHI, Registry and Developer Experience.
FIRST 90 DAYS
- Own a secure-build feature or reliability improvement from problem definition through production.
- Contribute materially to the secure-CI architecture, including isolation, identity, policy or signed evidence.
- Deliver an observable improvement to the reliability or operability of an existing build service.
- Demonstrate strong product judgement across developer and agent workflows.
ONE YEAR OUTLOOK (FIRST YEAR)
- Be a trusted senior technical owner on the Secure Build team.
- Deliver a material secure-CI or trusted-build capability used by customers or internal product teams.
- Improve the reliability and maintainability of Docker Build Cloud and Auto Builds while helping their useful capabilities converge with the wider platform.
- Contribute to the team's architecture for isolated execution, brokered access and verifiable build outcomes.
- Help establish strong product, design, review and operational practices as the team grows.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
EU: €94,040 – €155,650+ equity
United States: $160,900 – $260,700 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
About the company New York’s largest e-bike rental company, a fast-growing startup that has raised $20M+ in funding.
Задачи:
— Управлять командой по работе с должниками: распределять задачи, контролировать выполнение и обеспечивать достижение KPI.
— Отвечать за показатели по взысканию долгов и улучшать их.
— Управлять рабочими процессами взыскания в CRM и ERP, включая статусы, триггеры, автоматические последовательности и маршрутизацию задач.
— Регулярно анализировать просроченные счета и приоритизировать усилия по их взысканию.
— Выявлять пробелы в процессах и предлагать улучшения системы и рабочих процессов взыскания.
— Сотрудничать с операционным отделом, службой поддержки и командой разработки для внедрения улучшений.
— Координировать эскалации в сторонние агентства или правоохранительные органы при необходимости.
— Отчитываться перед высшим руководством о результатах, рисках и инициативах по улучшению.
Требования:
— Опыт работы 3+ года в операциях, службе поддержки клиентов, взыскании долгов или смежной области.
— Опыт управления командой или надзорной деятельности не менее 2 лет.
— Опыт работы с взысканием долгов или должниками является значительным преимуществом.
— Сильное чувство ответственности и умение управлять результативностью через KPI.
— Уверенное владение CRM/ERP системами и операционными процессами.
— Свободное владение английским языком (C1+). Русский язык — плюс.
— Готовность работать в часы бизнес-операций по восточному времени США.
Условия:
— Возможность присоединиться к крупнейшей компании по аренде электровелосипедов в Нью-Йорке, быстрорастущему стартапу с финансированием более $20 млн.
— Прямая работа с основателями компании и значительная ответственность за важную бизнес-функцию.
— Возможность изучать инструменты ИИ, автоматизацию и vibe coding — опыт не обязателен.
— Курсы, финансируемые компанией, по vibe coding, инструментам ИИ, автоматизации и другим техническим навыкам.
— Полностью удалённая, полная занятость (40 часов в неделю).
— Базовая зарплата от $3000 плюс бонусы за результативность.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
Cloud providers and Systems Integrators help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind that ecosystem.
You'll build the reference architectures, integration patterns, and enablement programs that make partner motions work technically: co-sell with cloud hyperscalers, and independent delivery capability at systems integrators and global systems integrators (GSIs). You build with and for a partner, whose technical team then takes what you built to dozens of their own clients.
About the role
AWS, Google Cloud, and Microsoft Azure help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind those cloud alliances.
You'll build the reference architectures, integration patterns, and co-sell assets that make our cloud motions work technically. That covers marketplace listings and private offers, joint solutions with cloud field teams, and technical wins on named accounts. You build with and for each cloud provider, and their partner and field teams then take what you built to many of their own customers. When a cloud deal involves a services partner, you make sure that partner can deliver on LangChain.
Key responsibilities
Cloud partner engineering (AWS, GCP, Azure)
- Own the technical relationship with partner and field teams at AWS, Google Cloud, and Microsoft Azure
- Build reference architectures and integration patterns for running LangChain, LangGraph, DeepAgents and LangSmith on each cloud, including integrations with each provider's native AI and data services (for example Amazon Bedrock, Gemini Enterprise, AzureAI)
- Support the technical side of co-sell: joint solution briefs, deployment guides, and validated architectures that cloud sellers can bring to their customers
- Partner with cloud account teams on solutioning for named accounts, from discovery through technical win
- Keep our marketplace listings, deployment options, and co-sell technical assets current as the product evolves
- Enable cloud field and partner teams through workshops, demos, and technical briefings so they can position LangChain without pulling in our engineers for every deal
- Build and maintain joint technical plans with each cloud provider, turning shared account and industry priorities into a concrete set of reference assets
Marketplace motions with services partners
- Support systems integrators and resellers when they're part of a cloud deal, such as marketplace private offers transacted through a channel partner or joint deployments on a customer's cloud
- Give those partners the technical assets they need to scope and deliver LangChain on AWS, GCP, or Azure, using existing reference architectures and implementation guides rather than a standalone enablement program
Partner technical evangelism and feedback
- Serve as a technical escalation point for complex deployments sourced through cloud partners
- Represent LangChain at cloud provider events, summits, and joint webinars
- Gather feedback from cloud partners and the field, and route it back to product and engineering
What we're looking for
7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Partner Solutions Architect, Solutions Architect, or Sales Engineer. Experience at or alongside a hyperscaler is a strong plus. We also like former founders and technical leaders, so if you have an unusual background but the right skill set, you're welcome to apply.
Cloud and partner experience
- Track record of working with AWS, Google Cloud, or Microsoft Azure partner and field teams to drive co-sell, from joint solution design through technical win
- Familiarity with cloud marketplace mechanics such as listings, private offers, and channel partner offers, and with hyperscaler co-sell programs
- Experience enabling a partner's field or technical teams so they can position and deploy a product without depending on you for every deal
- Comfortable working across engineering, partnerships, and sales at the same time
- Strong presentation and technical communication skills, able to translate between technical and business stakeholders, including C-suite executives
Agent engineering and development
- Hands-on experience building with LLM frameworks such as langchain, langgraph, or similar, including RAG patterns and agent architecture
- Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results
- Strong Python skills
Cloud architecture and integration
- Deep working knowledge of at least one of AWS, GCP, or Azure, and familiarity with the other two. Strong background in GCP or Azure preferred.
- Hands-on experience with cloud AI platforms and managed model services
- Experience designing integrations, sample repositories, or reference architectures that other teams can pick up and reuse
- Familiarity with vector stores, tool integration, and API design in agentic systems
Key attributes
- You build credibility with a cloud provider's technical and field teams and act as their trusted advisor on LangChain
- Building and evangelizing are both part of the job. You're equally comfortable writing an integration and presenting it at a cloud summit
- You build assets that scale. A reference architecture should work across every cloud account team, not only the one in front of you
- You're comfortable with variety. AWS, GCP, and Azure each have their own programs, sellers, and ways of working, and switching between them doesn't throw you off
LOCATION:
San Francisco
COMPENSATION:
$185K to $225K
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Задачи:
— работа над мобильным банком;
— разработка кредитных конвейеров для физических и юридических лиц;
— создание scoring и collection-систем;
— поддержка и развитие других высоконагруженных банковских сервисов.
Требования:
— 5+ лет коммерческой Java-разработки;
— хороший уровень Java Core и понимание Spring;
— опыт работы с микросервисной архитектурой;
— уверенное владение SQL и интеграциями;
— опыт работы с Production-системами;
— опыт в банковской сфере или FinTech будет плюсом.
Условия:
— работа в офисе в Ташкенте;
— обязательная релокация;
— для кандидатов из других стран предоставляется релокационный пакет и компенсация аренды жилья.
Задачи:
- Работа на проектах HR-тех, в команде размером 10+ человек
- Активная вовлечённость в постановку и анализ задач
- Fullstack-разработка новых бизнес-процессов систем найма сотрудников
- Прямая работа с заказчиком
- Поддержка существующих уже реализованных процессов в сервисах
Требования:
- Больше двух лет разработки на Python
- Опыт разработки web-сервисов в монолитной и микросервисной парадигме
- Уверенное знание SQL или DjangoORM
Location: Paris, France
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:
As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes.
This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value.
You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams.
The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required.
This role will be based in Paris. 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:
- Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption.
- Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale.
- Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation.
- Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value.
- Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback.
- Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path.
- Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements.
- Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value.
SKILLS YOU'LL NEED TO BRING:
- 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role.
- Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria.
- Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions.
- Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows.
- Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively.
- Strong experience delivering implementations that drive adoption, change management and long-term customer value.
- Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness.
- Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences.
- Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward.
- Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments.
- Fluency in English and French.
NICE TO HAVES:
- Experience designing or deploying Agents, automations or AI-powered workflows with Customers.
- Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows.
- Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up.
- Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements.
- Previous experience in a fast-paced, high-growth technology environment.
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. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €106,000 - €119,000 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. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#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.
Location: Dublin, Ireland
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:
As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes.
This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value.
You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams.
The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required.
This role will be based in Dublin. 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:
- Partner with customers on forward deployed engagements from discovery through launch, translating business goals and workflow requirements into scalable clear solution design and Notion solutions that drive durable adoption.
- Design scalable Notion architectures that translate customer workflows, permission and governance needs, integrations and AI use cases into optimal workspaces that are easy to adopt, manage and scale.
- Design and deploy AI-native workflows using Notion AI, custom agents, automations, Workers, Developer Platform capabilities and adjacent AI tools, partnering with Forward Deployed Engineering when advanced technical depth is needed for migrations, API constraints, security architecture or frontier implementation.
- Help customers navigate change by designing adoption plans, enablement materials and launch approaches that drive sustained usage and measurable business value.
- Identify repeatable patterns across customer engagements and convert them into packaged solutions, templates, reference architectures, run books, enablement assets and product feedback.
- Serve as a trusted advisor to customers, simplifying complex technical requirements, making practical tradeoff recommendations and helping stakeholders align around a clear implementation path.
- Partner cross-functionally with GTM, Product, Engineering, PMM, Services leadership and the partner ecosystem to scale what works beyond individual customer engagements.
- Create clear implementation plans, handoff materials and success measures that align customers and internal teams on the path to value.
SKILLS YOU'LL NEED TO BRING:
- 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role.
- Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria.
- Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions.
- Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows.
- Technical fluency with APIs, integrations, data models, automation, enterprise systems, developer workflows and implementation tradeoffs. You do not need to write production code but you should be able to reason through technical constraints and troubleshoot effectively.
- Strong experience delivering implementations that drive adoption, change management and long-term customer value.
- Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness.
- Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences.
- Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward.
- Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments.
NICE TO HAVES:
- Experience designing or deploying Agents, automations or AI-powered workflows with Customers.
- Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows.
- Experience developing discovery methodologies, reusable delivery assets, internal tooling, packaged services or reference architectures from the ground up.
- Experience partnering with Product and Engineering teams to turn field learnings into roadmap signal, reusable architecture patterns or scalable product improvements.
- Previous experience in a fast-paced, high-growth technology environment.
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. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €106,000 - €119,000 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. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
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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.
Обязанности:
• тестирование большого количества микросервисов платформы
• подготовка критериев для AI-тестирования и разработка автоматизированных тестов на Python
• разбор инцидентов и поиск причин ошибок
• работа с большими массивами данных и создание тестовых документов.
Требования:
• имеешь опыт автоматизации тестирования на Python минимум два года
• знаком с инструментами командной строки и AI-ассистентами типа GigaCode, ClaudeCode, QwenCode, OpenClaw
• понимаешь теорию тестирования и хочешь осваивать передовые методы и технологии
• имел опыт тестирования веб-сервисов, backend-систем, микросервисов и REST API
• хорошо взаимодействуешь с коллегами-аналитиками и разработчиками.
Условия:
• комфортный офис рядом с метро Кутузовская
• гибкий график работы
• занятия спортом в корпоративном зале и зоны отдыха
• обучение и развитие по многочисленным направлениям СберУниверситета
• расширенное медицинское страхование возможностью страхования семьи и участия в пенсионной программе;
• льготы по ипотеке вплоть до снижения ставки на треть ключевой ставки ЦБ РФ
• бесплатные сервисы и скидки на покупки товаров партнёров Сбера.
Задачи:
— Владение техническим дизайном и микроархитектурой backend-сервисов в домене команды.
— Руководство техническим планированием, принятием решений по реализации и архитектурными обзорами.
— Установление инженерных стандартов, практик кодирования и паттернов архитектуры backend.
— Балансировка между поставкой функционала и долгосрочной поддерживаемостью, надежностью и снижением технического долга.
— Выступать основным техническим контролером качества для изменений в продакшене.
— Около 50-80% времени писать production-код на Go и TypeScript.
— Проектировать, строить и эксплуатировать масштабируемые, отказоустойчивые и высокопроизводительные backend-сервисы на всех этапах их жизненного цикла.
— Создавать backend-системы, интегрирующиеся с умными контрактами, блокчейн-инфраструктурой и Web3-сервисами.
— Проектировать и эксплуатировать системы индексирования блокчейна и обработки данных для поддержки маршрутизации, ценообразования, исполнения, портфеля и аналитики.
— Внедрять AI-first инженерные практики, наставлять инженеров и сотрудничать с командами продукта, блокчейна, инфраструктуры, безопасности и DevOps.
Требования:
— Опыт профессиональной backend-разработки не менее 6 лет, включая техническое руководство.
— Экспертный уровень в разработке backend-систем на Go и сильный опыт с TypeScript.
— Глубокие знания в проектировании и эксплуатации распределенных систем, событийно-ориентированных архитектур и облачных платформ.
— Опыт создания безопасных, масштабируемых и высокодоступных production-систем.
— Хорошее понимание блокчейн-инфраструктуры, умных контрактов, индексирования блокчейна и Web3 backend-разработки.
— Практический опыт использования Cursor AI или аналогичных AI-ориентированных инженерных сред.
— Опыт применения AI-поддержки в архитектуре, реализации, тестировании, отладке, документации и код-ревью.
— Опыт проектирования или масштабирования агентных рабочих процессов доставки ПО и помощи командам в эффективном использовании AI.
— Понимание, как AI может ускорить доставку ПО без ущерба качеству, безопасности и поддерживаемости.
— Отличные навыки системного дизайна, коммуникации и технического лидерства.
Желательно:
— Опыт с MCP-ориентированными инженерными рабочими процессами.
— Опыт создания внутренних AI инженерных платформ или инструментов повышения продуктивности разработчиков.
— Опыт работы с несколькими блокчейн-экосистемами, кроме EVM.
— Опыт с Terraform, Kubernetes или продвинутой облачной инфраструктурой.
— Сертификаты по облачным технологиям, Kubernetes, безопасности или блокчейну.
Условия:
— Удалённая работа из ОАЭ, Великобритании, Португалии, Польши или Болгарии.
— Полная занятость.
Компания 1inch является работодателем с равными возможностями, оценивающим кандидатов по навыкам, опыту и потенциалу без дискриминации. Используются AI-инструменты для помощи в обзоре заявок, но решения принимаются людьми.
Задачи:
- Развивать сервисы для запуска автотестов для всех популярных платформ (Mobile, Web, TV, Desktop): тест-раннер, автоматизацию управления фермой устройств, поддержку новых типов девайсов, новые режимы запуска тестирования сервисов
- Разрабатывать и поддерживать функциональность системы
- Проектировать отказоустойчивые сервисы
- Оценивать задачи и выполнять их в срок
- Проводить code review
- Активно взаимодействовать с тестировщиками, разработчиками, ИБ, DevOps и SRE для решения вопросов автоматизации тестирования и развития платформы тестирования
- Интегрировать наши решения в новые проекты и команды
Требования:
- Опыт работы Java-разработчиком 5+ лет
- Высокий уровень владения Java и обширные знания его экосистем, в частности Spring
- Умение работать с командной строкой в Linux
- Опыт работы с микросервисной архитектурой
- Понимание принципов эксплуатации и мониторинга сервисов
- Понимание основ тестирования и автоматизации тестирования
- Навыки в CI/CD (GitLab)
- Опыт работы с Docker
Задачи:
— С первого дня решать боевые задачи
— Разрабатывать продукты, которыми пользуются клиенты и сотрудники компании
— Вместе с опытными разработчиками улучшать существующую инфраструктуру мониторинга private cloud
Location: Morocco
Workplace: remote
About the Role
We are looking for detail-oriented Generative AI Analysts to support a variety of AI training, data annotation, evaluation, and quality review projects.
Project Details
Job Title: Generative AI Analyst - Arabic (Morocco)
Location: Remote (Morocco)
Employment Type: Freelance
Pay Rate: 4.5 USD / hour
Depending on the project, you may work with text, translations, audio, transcriptions, images, video, or other AI-generated content. Tasks and project requirements may vary based on the program you are assigned to.
Disclaimer
Projects are subject to client requirements and may change.
Completion of the application, assessment, and onboarding process does not guarantee assignment to a specific project or a minimum amount of work.
This is a human-in-the-loop AI training environment. The use of generative AI tools is prohibited unless explicitly authorized for a specific project.
All work must be completed independently using your own knowledge and judgment.
You must comply with all data privacy, security, and confidentiality requirements. Do not store, copy, or share project data outside approved tools and channels.
What You’ll Do
Review, evaluate, and validate AI-generated content and data according to project guidelines.
Compare AI-generated outputs and identify the most accurate, relevant, or high-quality result.
Identify errors, inconsistencies, omissions, and quality issues.
Annotate, categorize, or label text, audio, images, video, or other data where required.
Provide clear written feedback or justifications for your evaluations.
Complete assigned tasks independently and within established timelines.
Follow project and client guidelines consistently and maintain a high level of accuracy.
Attend live office hours and training sessions to familiarize yourself with project guidelines, clarify questions, and prepare for task assignments.
Requirements:
Native-level fluency in Arabic (Morocco) (written and spoken)
.
Experience in
Generative AI evaluation, data annotation, translation, linguistics, content quality review, transcription, data labeling, or a related field
is preferred.
Strong English proficiency and written communication skills.
Excellent attention to detail, critical thinking, and judgment.
Ability to follow detailed guidelines and apply evaluation criteria consistently.
Comfortable working independently with structured, repetitive tasks.
Familiarity with annotation or evaluation platforms is a plus.
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Canada
Workplace: remote
About the Role
We are looking for detail-oriented Generative AI Analysts to support a variety of AI training, data annotation, evaluation, and quality review projects.
Project Details
Job Title:Generative AI Analyst - French (Canada)
Location: Remote (Canada)
Employment Type: Freelance
Pay Rate: 20USD/per hour
Depending on the project, you may work with text, translations, audio, transcriptions, images, video, or other AI-generated content. Tasks and project requirements may vary based on the program you are assigned to.
Disclaimer
Projects are subject to client requirements and may change.
Completion of the application, assessment, and onboarding process does not guarantee assignment to a specific project or a minimum amount of work.
This is a human-in-the-loop AI training environment. The use of generative AI tools is prohibited unless explicitly authorized for a specific project.
All work must be completed independently using your own knowledge and judgment.
You must comply with all data privacy, security, and confidentiality requirements. Do not store, copy, or share project data outside approved tools and channels.
What You’ll Do
Review, evaluate, and validate AI-generated content and data according to project guidelines.
Compare AI-generated outputs and identify the most accurate, relevant, or high-quality result.
Identify errors, inconsistencies, omissions, and quality issues.
Annotate, categorize, or label text, audio, images, video, or other data where required.
Provide clear written feedback or justifications for your evaluations.
Complete assigned tasks independently and within established timelines.
Follow project and client guidelines consistently and maintain a high level of accuracy.
Attend live office hours and training sessions to familiarize yourself with project guidelines, clarify questions, and prepare for task assignments.
Requirements:
Native-level fluency in French (Canada) (written and spoken)
.
Experience in
Generative AI evaluation, data annotation, translation, linguistics, content quality review, transcription, data labeling, or a related field
is preferred.
Strong English proficiency and written communication skills.
Excellent attention to detail, critical thinking, and judgment.
Ability to follow detailed guidelines and apply evaluation criteria consistently.
Comfortable working independently with structured, repetitive tasks.
Familiarity with annotation or evaluation platforms is a plus.
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
