Location: Athens; Limassol; Nicosia; Thessaloniki
Workplace: hybrid
The Role:
We are looking for a Senior Data Scientist specializing in Graph AI to join our growing Data Science team. In this role, you will design and deploy production-grade graph machine learning solutions, working with Graph Neural Networks (GNNs), graph databases, and large-scale datasets to solve complex real-world problems.
You will play a key role in shaping the company's Graph AI capabilities, collaborating with cross-functional teams and mentoring other data scientists while delivering innovative, business-impacting solutions.
The main responsibilities of the position include:
Design, develop, and deploy Graph Neural Networks (GNNs) and graph-based machine learning solutions
Transform large, complex datasets into graph representations and extract actionable insights using advanced analytics, graph algorithms, and statistical techniques.
Drive the adoption of Graph AI across the organisation by
identifying
new use cases and contributing to the evolution of the company's data science strategy.
Communicate complex technical concepts and model outcomes clearly to both technical and business audiences.
Ensure
high standards
in data preparation, feature engineering, model evaluation, documentation, and code quality
.
Leverage
technologies such as Python, Graph Neural Networks, graph databases, modern ML frameworks, and cloud-based data platforms
to build innovative data solutions
Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics
Lead and supervise a team of data scientists working on graph-related tasks
Partner closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to translate business challenges into scalable Graph AI solutions.
Main requirements:
University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field
At least 6 years of experience in data science, machine
learning
and AI
, including hands-on experience in designing,
training
and optimising Graph Neural Networks (GNNs) for production applications.
Experience working with relational and non-relational databases
Solid experience working with graph databases (e.g., Neo4j, Neptune) and
proficiency
in graph query languages (e.g., Cypher or Gremlin).
Experience with data visualization tools such as Matplotlib, Seaborn, or
Plotly
Strong programming skills in Python and
experience with Pandas, NumPy
, and similar data analysis
libraries
Strong analytical thinking, problem-solving ability, and attention to detail
.
Excellent communication skills and the ability to work collaboratively in a team environment
Fluent in English
Benefit from:
Attractive
remuneration
package plus performance related reward
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
Let’s
Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Bring It to Life – Role-Specific Take-Home Task
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Make a difference.
Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Commercial Solutions Engineering team are our in-house, customer-facing product experts. The Commercial SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful. We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Commercial SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams.
What You’ll Be Doing:
Join as an early member of a high growth team working together to solve technical and customer problems the right way
Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers
Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility
Deliver product and technical presentations to potential and existing customers
Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape
Drive product conversations based on need and problems learned during customer interactions
Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material
What Makes You a Great Fit:
Ideally located on the Central Region of the US
5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running.
We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership
We are a remote-first company so you would need to learn to work and collaborate with an international team
You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products
You will love solving technical challenges and thrive on bringing creative solutions to our customers
You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table!
You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life!
Compensation & Rewards:
In the United States the OTE (On-Target Earnings) compensation range for this role is $182,000 - $226,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes.
We're looking for a software engineer with a strong identity and security focus to join our Expansion team. You'll help build the authentication, authorization, and access-management primitives that Render's customers depend on including SSO, RBAC, audit logging, scoped credentials and SCIM provisioning.
This is not a security operations or compliance role. You'll own changes across Render's platform and think carefully about how to make security features feel built in, not bolted on.
WHAT YOU'LL DO
- Design and ship authentication and authorization systems for users, agents, and services including credential scoping, SSO, SCIM provisioning and fine-grained permission models.
- Evolve Render's authorization model toward clear permissions and scopes for applications, environments, projects, and other platform resources.
- Own the security experience across the stack, from the interfaces used to manage features through to the APIs, data models and systems behind them.
- Build the controls and audit trails customers use to define, enforce and understand how people, services and agents act within their systems.
- Design shared auth APIs and primitives, then work closely with Product, Design, Security, and other Render teams to drive adoption.
- Operate authentication and authorization systems that customers and other teams depend on, including observability, safe rollouts, incident response, and on-call.
WHAT WE'RE LOOKING FOR
- 6+ years of experience shipping and operating production systems.
- You’ve built customer-facing authentication or authorization features and understand how security choices shape the product experience.
- You've designed and operated systems where correctness, availability, and safe rollout matter. You are comfortable working through API, data-model, caching, and migration tradeoffs.
- You can balance security and product tradeoffs. You understand why a control exists, the friction it creates and when a simpler design is enough.
- A track record of taking ambiguous projects from design through production while working with product, design, and engineers in other parts of the company.
We care more about the systems you've built and the decisions you made than whether your last role had a "security" title.
NICE-TO-HAVES:
- Hands-on experience with OAuth, OpenID Connect, SAML, SCIM, JWTs or other authentication methods.
- Experience with multi-tenant authorization models such as RBAC, ABAC, or ReBAC, including policy engines or fine-grained authorization systems.
- Experience with workload identity, short-lived credentials, secrets management, privileged access, or security controls for services and agents.
- Experience building developer platforms, cloud infrastructure, identity product or SaaS products where APIs and backwards compatibility matter.
- Familiarity with compliance frameworks such as SOC 2 or ISO 27001 and an ability to turn those requirements into security improvements for all customers.
- Contributions to open-source auth/security tooling.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
Задачи:
— Управление полным жизненным циклом разработки функциональных возможностей: от брифинга и декомпозиции до релиза и анализа результатов.
— Аудит существующих процессов и их оптимизация.
— Разработка процессов с учетом специфики команды и продукта.
— Организация рабочего пространства в системах Jira или ClickUp.
— Настройка проектов, досок, статусов, рабочих потоков (workflow), шаблонов и дашбордов.
— Подготовка документации, пользовательских сценариев, контрольных списков и блок-схем.
— Самостоятельное формирование и заполнение задач для кросс-функциональных команд.
— Декомпозиция функциональных возможностей на задачи для команд Frontend, Backend, QA, DevOps и дизайна.
— Определение зависимостей между задачами, командами и этапами разработки.
— Оценка трудозатрат в часах совместно с командами.
— Планирование сроков и контроль загрузки команды.
— Управление бэклогом и приоритизация задач в сотрудничестве с продуктовыми менеджерами и лидерами команд.
— Контроль статусов, сроков, рисков и блокирующих факторов.
— Проведение планирований, грумингов, ретроспектив и других командных встреч.
— Организация и сопровождение плановых релизов, релизов нового функционала и экстренных исправлений (hotfix).
— Подготовка релизных контрольных списков и контроль готовности всех участников.
— Настройка автоматизаций внутри Jira или ClickUp.
— Настройка интеграций между системами отслеживания задач, Slack, GitHub или GitLab.
— Внедрение нейросетей для создания, заполнения и актуализации задач.
— Автоматизация проектных процессов с использованием нейросетей.
— Поддержание актуальности документации и процессов.
— Подготовка регулярных отчетов о статусе для команды и стейкхолдеров.
— Трансформация бизнес-требований в понятные задачи, пользовательские истории (user stories) и критерии приемки (acceptance criteria).
Требования:
— Опыт работы в должности Project Manager или Delivery Manager не менее 4 лет.
— Опыт управления кросс-функциональными командами.
— Опыт ведения проектов с участием команд Frontend, Backend, QA, DevOps и дизайна.
— Уверенное владение системами Jira и Confluence или ClickUp.
— Опыт настройки и реорганизации процессов в системах отслеживания задач.
— Опыт создания рабочих потоков, шаблонов, дашбордов и автоматизаций.
— Опыт настройки интеграций между системами отслеживания задач, Slack, GitHub или GitLab.
— Практический опыт автоматизации рабочих процессов с помощью нейросетей.
— Навыки использования нейросетей для создания и заполнения задач, генерации критериев приемки, декомпозиции функциональных возможностей и актуализации документации.
— Способность самостоятельно выявлять и внедрять сценарии применения искусственного интеллекта для сокращения объема рутинных операций.
— Умение самостоятельно формировать полные и понятные технические задания.
— Навыки декомпозиции крупных функциональных возможностей и управления зависимостями.
— Опыт оценки трудозатрат и планирования загрузки команды.
— Опыт организации и сопровождения релизов.
— Понимание жизненного цикла разработки цифровых продуктов.
— Понимание принципов CI/CD, процесса code review и работы с техническим долгом.
— Знание методологий Scrum, Kanban или Scrumban и умение адаптировать процессы под специфику команды.
— Базовые навыки работы с Figma.
— Базовое понимание SQL и инструментов мониторинга, включая Grafana или Kibana.
— Понимание особенностей Telegram Mini Apps, WebView и TMA SDK.
— Умение выявлять риски и блокирующие факторы до начала этапа разработки.
— Навыки фасилитации встреч и фиксации договоренностей.
— Понимание взаимосвязи между трудозатратами, ресурсами и бюджетом проекта.
— Системное мышление, самостоятельность и внимательность к деталям.
Задачи:
— Управление полным жизненным циклом разработки функциональных возможностей: от брифинга и декомпозиции до релиза и анализа результатов.
— Аудит существующих процессов и их оптимизация.
— Разработка процессов с учетом специфики команды и продукта.
— Организация рабочего пространства в системах Jira или ClickUp.
— Настройка проектов, досок, статусов, рабочих потоков (workflow), шаблонов и дашбордов.
— Подготовка документации, пользовательских сценариев, контрольных списков и блок-схем.
— Самостоятельное формирование и заполнение задач для кросс-функциональных команд.
— Декомпозиция функциональных возможностей на задачи для команд Frontend, Backend, QA, DevOps и дизайна.
— Определение зависимостей между задачами, командами и этапами разработки.
— Оценка трудозатрат в часах совместно с командами.
— Планирование сроков и контроль загрузки команды.
— Управление бэклогом и приоритизация задач в сотрудничестве с продуктовыми менеджерами и лидерами команд.
— Контроль статусов, сроков, рисков и блокирующих факторов.
— Проведение планирований, грумингов, ретроспектив и других командных встреч.
— Организация и сопровождение плановых релизов, релизов нового функционала и экстренных исправлений (hotfix).
— Подготовка релизных контрольных списков и контроль готовности всех участников.
— Настройка автоматизаций внутри Jira или ClickUp.
— Настройка интеграций между системами отслеживания задач, Slack, GitHub или GitLab.
— Внедрение нейросетей для создания, заполнения и актуализации задач.
— Автоматизация проектных процессов с использованием нейросетей.
— Поддержание актуальности документации и процессов.
— Подготовка регулярных отчетов о статусе для команды и стейкхолдеров.
— Трансформация бизнес-требований в понятные задачи, пользовательские истории (user stories) и критерии приемки (acceptance criteria).
Требования:
— Опыт работы в должности Project Manager или Delivery Manager не менее 4 лет.
— Опыт управления кросс-функциональными командами.
— Опыт ведения проектов с участием команд Frontend, Backend, QA, DevOps и дизайна.
— Уверенное владение системами Jira и Confluence или ClickUp.
— Опыт настройки и реорганизации процессов в системах отслеживания задач.
— Опыт создания рабочих потоков, шаблонов, дашбордов и автоматизаций.
— Опыт настройки интеграций между системами отслеживания задач, Slack, GitHub или GitLab.
— Практический опыт автоматизации рабочих процессов с помощью нейросетей.
— Навыки использования нейросетей для создания и заполнения задач, генерации критериев приемки, декомпозиции функциональных возможностей и актуализации документации.
— Способность самостоятельно выявлять и внедрять сценарии применения искусственного интеллекта для сокращения объема рутинных операций.
— Умение самостоятельно формировать полные и понятные технические задания.
— Навыки декомпозиции крупных функциональных возможностей и управления зависимостями.
— Опыт оценки трудозатрат и планирования загрузки команды.
— Опыт организации и сопровождения релизов.
— Понимание жизненного цикла разработки цифровых продуктов.
— Понимание принципов CI/CD, процесса code review и работы с техническим долгом.
— Знание методологий Scrum, Kanban или Scrumban и умение адаптировать процессы под специфику команды.
— Базовые навыки работы с Figma.
— Базовое понимание SQL и инструментов мониторинга, включая Grafana или Kibana.
— Понимание особенностей Telegram Mini Apps, WebView и TMA SDK.
— Умение выявлять риски и блокирующие факторы до начала этапа разработки.
— Навыки фасилитации встреч и фиксации договоренностей.
— Понимание взаимосвязи между трудозатратами, ресурсами и бюджетом проекта.
— Системное мышление, самостоятельность и внимательность к деталям.
Location: Tokyo, Japan
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.
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.
- Written and spoken Japanese fluency to communicate directly with external customers, partners, and internal teams
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.
- Business level English proficiency to communicate effectively with global stakeholders and peers.
- Experience working with Japanese enterprise customers or familiarity with Japan market dynamics and business practices.
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: Remote, Global
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
We're looking for a Release Engineer (SRE) to join our Release Engineering team (part of EngOps) — a production-operations expert who brings an SRE mindset to how Supabase ships and runs, making deploys safe, observable, and recoverable at scale.
Release Engineering's scope has grown well beyond build-and-ship: we increasingly own the operational reliability of the systems that deploy and run Supabase. In this role you'll treat our deployment pipelines, pre-production signal, and the control plane itself as production systems — with SLOs, error budgets, and on-call ownership — and you'll be the person teams lean on when reliability is on the line.
This is not a "gatekeeper" role. You'll make the reliable path the easy path: standardising how we deploy, instrumenting what we ship, and ensuring that when something breaks, we detect it quickly and recover quickly.
WHAT YOU'LL BE RESPONSIBLE FOR
In this role, you'll:
- Own the reliability of Supabase's deployment and release systems, and the control plane they run on, against clear SLOs and error budgets
- Turn pre-production into a trustworthy signal — standardizing and instrumenting today's fragmented, ad-hoc deployment workflows
- Drive disaster-recovery readiness, including making environments reproducibly deployable from scratch (untangling undocumented secrets, unclear configuration ownership, and circular service dependencies)
- Build and operate health and SLO monitoring for critical user flows, using synthetic testing to catch regressions before customers do
- Reduce mean-time-to-detect and mean-time-to-recover for deploy-related incidents — which account for a large share of our incident load
- Participate in on-call, lead blameless postmortems, and turn findings into runbooks, alerting, and automation that remove toil
- Improve deployment observability and auditability — a clear record of what shipped where, when, and by whom
- Document operational procedures — break-glass paths, access models, and runbooks — so reliability knowledge isn't tribal
RELIABILITY & OPERATIONS
- Define and track SLAs, SLOs, error budgets, and DORA delivery metrics — with meaningful alerting over noise
- Ensure deployments fail fast and safely when health checks degrade
- Harden access and break-glass workflows (e.g. scoped self-service) so the right people can act in an incident without unsafe workarounds
- Partner with product engineering and platform teams to align release practices with reliability and availability targets
YOU MIGHT BE A GOOD FIT IF YOU
- Have 5+ years in SRE, production operations, platform engineering, or release engineering
- Have operated production systems at scale and carried on-call for them
- Are fluent in SLAs, SLOs, error budgets, DORA metrics, and operational KPIs — and the observability tooling behind them (Prometheus, Grafana, Alertmanager, or similar)
- Have led incident response with tooling like incident.io http://incident.io (or PagerDuty / Opsgenie), run blameless postmortems, and driven down MTTD/MTTR
- Operate confidently on AWS (multiple accounts, IAM, VPC) in production
- Are comfortable with infrastructure-as-code (Pulumi, Terraform) and Kubernetes
- Script and automate to eliminate toil rather than absorb it
- Communicate clearly with both infrastructure specialists and product engineers
- Thrive in async, globally distributed teams
- Are comfortable navigating ambiguity and iterating toward better systems over time
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Задачи:
— Выполнять интеграционное, функциональное и end-2-end тестирование API
— Фиксировать дефекты, непроработанные/спорные требования
— Разрабатывать автотесты для имеющихся и новых продуктов компании в стэке Java
— Разрабатывать вспомогательные общие решения
— Проводить оптимизацию тестов
— Проводить code review
— Подготавливать и поддерживать тестовое окружение в Docker
— Интегрировать тесты в CI в качестве Quality Gate, анализировать результаты выполнения
— Тесно взаимодействовать с архитекторами, разработчиками, системными аналитиками в рамках продуктовой команды.
Требования:
— Опыт работы с Java более 5 лет
— Знание Spring Boot 2+
— Уверенные знания ООП, принципов SOLID и структур данных
— Опыт работы с Maven
— Опыт тестирования RESTful сервисов и Web UI
— Опыт написания интеграционных тестов
— Опыт тестирования распределенных систем
— Умение идентифицировать и устранять причины нестабильности автотестов
— Опыт работы с PostgreSQL
— Опыт работы в Unix средах, с системами контроля версий (Git) и с Docker контейнерами
— Умение проводить Code-review QA Automation Engineers (Java)
— Способность решать сложные технические проблемы.
Будет плюсом:
— Знание классических алгоритмов программирования
— Опыт реализации или поддержки CI пайплайнов
— Опыт работы с распределенными хранилищами данных.
Задачи:
- Разрабатывать и поддерживать высоконагруженный бэкенд корпоративного портала на Python и FastAPI (async/await, dependency injection, middleware);
- Проектировать схемы и работать с PostgreSQL (SQL) и MongoDB (NoSQL), а также с объектными хранилищами (S3). Интегрировать локальные LLM, работать с векторным хранилищем Qdrant и поисковым движком OpenSearch;
- Настраивать инструменты наблюдаемости (OTEL, Jaeger, Prometheus, Grafana) для отладки распределённых систем. Работать с Docker, Nginx, настраивать CI/CD пайплайны в GitLab;
- Проектировать отказоустойчивые API, участвовать в Code Review, поддерживать высокий стандарт качества кода.
Требования:
- Ключевой стек: Python, FastAPI, PostgreSQL, MongoDB, AI/LLM, Qdrant;
- Core: глубокое знание Python и фреймворка FastAPI: async/await, dependency injection, middleware;
- Базы данных: опыт проектирования схем и работы с PostgreSQL, SQL и MongoDB NoSQL, знание объектных хранилищ S3;
- AI & Search: опыт интеграции локальных LLM, работы с векторными хранилищами Qdrant и поисковыми движками OpenSearch;
- Наблюдаемость: опыт настройки и использования инструментов мониторинга OTEL, Jaeger, Prometheus, Grafana для отладки распределённых систем;
- DevOps: уверенная работа с Docker, Nginx, настройка CI/CD пайплайнов в GitLab;
- Уровень: Middle от 3 лет, Senior от 5 лет; умение проектировать отказоустойчивые API.
Location: New York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California
Workplace: remote
About the role:
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move.
We’re an
Anthropic and AWS Partner
with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name
What You’ll Do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What We Look For:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open-source contributions or public writing on applied AI
What We Offer:
Full-time employment
On-site visits to clients’ facilities and our office in NYC 1/week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(K) matching plan
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
How We Hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO
Location: Barcelona, Spain
Workplace: remote
Welcome to OLX
We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.
We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.
Our brands – including AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.
Join OLX and see how far you can go.
We believe the future of our products sits at the intersection of AI and design. Our ambition is to become an AI-native organization, where intelligent systems and human-centered design come together to create faster, smarter, and more meaningful customer experiences. We’re rethinking how products are built, how experiences are shaped, and how teams deliver impact.
A key part of this transformation is creating the right foundations and infrastructure to enable high-quality experiences at scale - where design systems, patterns, and workflows are structured, scalable, and AI-readable, unlocking new levels of speed, consistency, and innovation.
The role
We're looking for a Senior Product Designer to join our Design System team, working across our Real Estate products. You'll play a key role in evolving our design system, helping designers and engineers across the business design and build with greater consistency, quality and pace.
You'll work day to day within a small, dedicated pod, spanning web and app. But the system serves designers across multiple tribes, each shipping their own product work. You'll work within our contribution model, helping teams outside the pod propose, adopt and evolve components without fragmenting the system.
We're looking for someone with strong craft, attention to detail, and curiosity about systems thinking and AI-assisted workflows. You'll help create a coherent product experience across our brands while developing your own design systems practice.
Key responsabilities:
Design and evolve reusable components, patterns and foundations within our design system, reducing duplication and improving consistency across tribes
Define component behaviour, states and variants, working directly with engineering to ship them
Run and improve the contribution model: the process and standards that let designers outside the core pod propose and ship components without breaking system coherence
Support design work from problem framing through to documentation and handover, using research and feedback from teams to inform decisions
Create clear documentation and specifications covering variants, edge cases and usage guidance
Collaborate closely with engineers on token strategy and the practical link between Figma and production code
Resolve conflicts between a tribe's local need and the system's long-term coherence
Work with product design teams to identify gaps and embed stronger systems thinking across products
AI-enabled Design Systems:
Use AI-assisted tooling as part of your daily workflow, from research through to prototyping and component definition
Contribute to making the system well-structured for AI-assisted workflows, including tokens, documentation and reusable patterns
Know when to override AI output with your own design judgment, and be able to explain why
What we're looking for:
Proven experience designing and maintaining a design system at scale, not just documenting one
Experience running or contributing to a contribution model, or a clear point of view on how you'd build one
Strong technical fluency: you understand how your decisions translate into code, and work with engineers as a peer, not a handoff
Sharp judgment on trade-offs: when to enforce consistency, when to allow exceptions
Strong communicator, able to justify design system decisions to stakeholders who don't share your priorities, and bring other designers along rather than dictate to them
Comfortable with AI-assisted tools, with an interest in applying them in practical ways to improve speed, quality and consistency
Required experience
A portfolio demonstrating strong product and systems thinking, with evidence of shipped impact, not just documented patterns
Experience working in Figma, including component libraries, variables and tokens, alongside experience with built or coded prototypes
Experience working closely with engineers to deliver high-quality, scalable outcomes
Experience or strong interest in AI-assisted design or development workflows
Hiring Process
First Stage - Recruiter
Screen
This is your first interview with our Talent Acquisition team. We’ll explore your background, skills, and experience, as well as your approach to autonomy, ownership, and critical thinking. It’s also a chance to discuss your aspirations and ensure alignment with our culture and values.
Second Stage -
Portfolio Review
In this stage, you’ll meet with the Hiring Manager and a Designer from the team. We’ll explore your process thinking and approach to design through a case study of your choice. This is also a great opportunity to discuss how you collaborate with others and how your values align with our team culture.
Third Stage -
AI Sandbox Challenge
This is a dynamic and interactive session where you’ll have the chance to demonstrate your thought process in action. It’s designed to give us insight into how you approach challenges, integrate AI into your workflows, and apply your skills in a practical setting.
We aim to make this process clear, collaborative, and reflective of the way we work as a team.
DEI statement
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don't meet all the requirements - you may be just the right fit for this or other opportunities with us.
Privacy Data disclaimer
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.
Location: Sta. Rosa, Laguna
Workplace: OnSite
Duties and Responsibilities
- Customer Onboarding
- Conducts customer due diligence and KYC (know-your-customer)
- Checks the legitimacy of the proof of identity and escalates immediately if suspected counterfeit or suspicious.
- Validates the completeness and accuracy of customer information on the customer information sheet/account opening form.
- Conducts signature verification.
- Photocopies the proof of identity and files it together with the account opening form.
- Creates the customer profile and opens the account in the Core Banking System (CBS)
- Secures appropriate approval for the creation completed.
- Releases passbook / chequebook / Time Deposit Certificate, as applicable, depending on the product availed by the customer.
- Scans the Account Opening Document Set.
- End-Of-Day (EOD) generation of report of all accounts opened and submits EOD report to the Service Delivery Head.
- Customer Information Update – validation of customer documents presented to support the update if customer-initiated request or performs update of customer profile as part of the periodic review.
- Conducts Enhanced Due Diligence as necessary.
- Maintains Customer’s Account in the system based on customer’s request or bank-initiated activities.
- Preparation of Customer Notifications and monitor its delivery status.
- Fire-Proof Cabinet / Vault Custodianship
- Safekeeps accountable forms and records the utilization of accountable forms.
- Safekeeping of Account Opening Documents, together with the proof of deposit, in a secured and organized manner during the branch banking hours.
- Act as dual custodian to safekeep or release the cheques received in a fire-proof cabinet/vault for deposit to the Depository Bank by the Teller.
- Customer Interaction such as but not limited to:
- Attends to customer queries at the branch.
- Responds to Customer Inquiry via email.
- Resolves customer complaint.
- Call-out (TD Maturity, Bounced Cheques, etc.)
- Release and Monitoring of Bounced Cheques Pick up and/or Replacement
- Debit Cards Handling
- Release of Debit Cards to Customers and Tagging in the System
- Blocking of Card – Lost / Stolen
- Destruction of aged card
- All files shall be safekept in the designated filing cabinet and shall be within the retention period.
- Ensure completion of tasks assigned within the agreed turnaround-time.
- Other processes that may arise related to Account Services.
- Timely reports concerns identified and possible issues that might have impact to branch operations.
- Acts as reliever when somebody goes on leave based on the relief arrangement within the team.
- Organizes team files (soft and hard copy) and adheres to the record retention policy.
- Identifies processes/systems for improvement but ensuring controls are in place.
- Initiates projects for the betterment of the team and the company as a whole.
- Participates on UAT/UVT for new or enhancement of systems that will have impact to the team.
- Participates in Business Continuity Plan (BCP) Activities.
- Prompt identification and escalation of issues noted and propose resolution to the immediate supervisor.
- Performs tasks that maybe assigned from time to time other than the basic responsibilities listed above.
- Assists in combatting money laundering by ensuring processes required are in place.
- Complies with regulatory requirements like BSP, AMLC, PDIC, BIR and other governing bodies.
- Strict adherence to company’s policies and code of conduct.
EDUCATION & COMPETENCIES
- University degree on Banking & Finance, or any related Business Course
- With at least 3 years of relevant experience in a banking industry
- Strong knowledge and experience in teller services or branch operations
- Sufficient knowledge of BSP regulations
- Good communication skills
- Problem-solving skills in a well-structured manner
- Ability to work with different culture, race, or ethnic group.
- Can work independently with minimal supervision.
- Acceptable risk management skills and ability to mitigate identified risks.
- Good interpersonal skills
- Keen attention to details
- Organize, innovative and results oriented.
- Ability to multi-task in a fast-paced environment
- Positive attitude knows how to find ways to address different circumstances.
- With official Signature Verification, KYC / CDD Training / Seminars attended.
Задачи:
— Обучить студенток колледжей мобильной разработке с нуля в рамках 9-месячного проекта.
— Возглавить казахскую и русскую группы обучения.
— Проверять домашние задания и поддерживать студентов в Telegram.
Требования:
— 3+ года коммерческого опыта во Flutter/Dart.
— Опыт в менторстве/обучении джунов или проведении курсов/воркшопов.
— Опыт работы с ИИ-помощниками (Cursor, Claude Code, Copilot).
— Готовность делиться опытом и поддерживать студентов.
— Свободное владение русским и/или казахским языками.
Условия:
— Общий объем работы около 240 часов за период с октября 2026 по июнь 2027.
— Формат работы офлайн в Алматы, 2-3 раза в неделю по 4 часа в день, утренние и дневные группы.
— Бюджет проекта до 3 000 000 тенге, оформление по ИП, ТОО или как самозанятый.
Location: New York; Massachusetts; Washington DC-Baltimore Area; Pennsylvania
Workplace: remote
About the role:
We’re an
Anthropic and AWS Partner
with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name
What You’ll Do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What We Look For:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open-source contributions or public writing on applied AI
What We Offer:
Full-time employment
On-site visits to clients’ facilities and our office in NYC 1/week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(K) matching plan
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO
Mayflower is a technology company focused on transforming the live entertainment industry by providing high-quality live streaming experiences. The Design System Designer role involves evolving and maintaining the design system across product and engineering teams.
Responsibilities:
— Evolve and maintain the existing UI foundation using Figma, Storybook, and code
— Design and refine core UI components such as inputs, buttons, form elements, and patterns
— Refine and extend a scalable token architecture (primitive → semantic → component) with theming support
— Improve alignment between Figma, frontend implementation, and Storybook to ensure product consistency
— Contribute to and improve the design-to-code workflow using Figma Variables, Tokens Studio, Style Dictionary, and CI/CD pipelines
— Support migration of components toward a token-based structure, prioritizing impactful areas
— Help shape and maintain contribution guidelines and system standards for design and engineering teams
— Contribute to documentation and knowledge sharing to facilitate system understanding and usage
— Explore and support AI-assisted workflows, including structured and machine-readable design system practices
Компания: Продуктовая IT-компания с офисом в Бостоне, США. Сервис помогает быстрее находить, оценивать и продвигать коммерческую недвижимость с помощью AI и глубокой аналитики рынка. Решение для брокеров, инвесторов и собственников, которым нужны актуальные листинги, точные инсайты и более быстрые решения по сделкам.
Почему это интересно:
— Продукт с реальной ценностью: Big Data + AI
— Сильная команда инженеров и продуктовых специалистов
— Минимум бюрократии, быстрые решения
— Влияние на архитектуру и финальный продукт
— Удаленная работа
— Бонусы и stock options
— Возможность релокации / стажировки в США
— Время и ресурсы на рефакторинг и улучшения
— Внутренние QA — разработчики не остаются один на один с качеством
Задачи:
— Разработка и развитие backend-компонентов продукта
— Архитектурное проектирование и развитие серверной части системы
— Руководство командой backend-разработки
— Проведение code review, контроль качества кода и соблюдения инженерных стандартов
— Участие в оценке задач, планировании спринтов и управлении техническим долгом
— Проработка и внедрение решений по повышению производительности, стабильности и масштабируемости системы
— Участие в проектировании и реализации новых функциональных модулей
— Подготовка и актуализация технической документации
— Взаимодействие с product-командой, дизайнерами и смежными техническими ролями
— Наставничество разработчиков, участие в найме и онбординге
— Внедрение и использование AI-агентов в продуктовых и внутренних процессах
— Оценка, внедрение и масштабирование AI-решений
— Обеспечение наблюдаемости, надёжности и управляемости AI-сервисов
Требования:
— Опыт в коммерческой разработке от 7 лет
— Практическое использование AI агентов в процессах разработки от 1,5 лет
— Опыт работы на каждом месте не менее 2,5 лет
— Опыт управления командой от 3 лет
— Английский не ниже В1
— Высшее техническое образование строго из списка ВУЗов: МФТИ, МГУ, НИУ ВШЭ, НИЯУ МИФИ, МГТУ имени Н. Э. Баумана, РУДН, МАИ, «МИСИС», ИТМО, СПбГУ, «ЛЭТИ», СПбПУ Петра Великого, УрФУ, Иннополис, ЮФУ, ТПУ, КФУ, НГУ, ТГУ, СФУ, Белорусский государственный университет, Белорусский национальный технический университет, Белорусский государственный технологический университет, БГУИР, КНУ им. Тараса Шевченко, КПИ им. Игоря Сикорского, ХПИ (Харьковский политех).
Технологии:
— PHP 8.x
— MySQL / PostgreSQL
— Redis
— Elasticsearch
— SQL
— Linux
— Git
Будет преимуществом опыт работы с:
— RabbitMQ
— Go
— Python
— FastAPI
— SQLAlchemy
— Celery
Условия:
— График работы 5/2, оплачиваемый отпуск
— Дистанционный формат работы из любой точки мира
— Отсутствие бюрократии и микроменеджмента - ориентируются на результат
Обязанности:
- разработка прикладных программ (JAVA)
- поиск наилучших решений совместно с дизайнерами и аналитиками
- оценка трудоёмкости задач, участие в планировании
- написание unit-тестов
- менторство (развитие tech skills) стажёров
- взаимодействие с разработчиками и другими командами в формате Agile.
Требования:
- высшее образование
- опыт работы в роли разработчика в проектах по разработке/модификации/внедрению ПО с использованием инструментов и технологий Java от двух лет
- опыт работы с указанными технологиями по направлению Java: Spring, Hibernate, Gradle, JMS, JAX-WS, Junit
- опыт командной разработки с использованием программных продуктов Confluence и Jira
- опыт работы, как в каскадных (waterfall), так и в гибких методологиях (Agile/DevOps) разработки
- опыт работы с low-code платформой (например, Platform V Flow, Camunda)
- навыки работы с генеративными AI-моделями
- опыт создания AI-агентов и использования их в работе будет преимуществом
- опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов
- инструментальное владение AI для анализа, генерации и автоматизации.
ОфисМосква
География найма не уточнена
United States (Remote)
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorNew York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California
УдалённоBarcelona, Spain; OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply
ОфисГеография найма не уточнена
УдалённоseniorNew York; Massachusetts; Washington DC-Baltimore Area; Pennsylvania
Удалённо
lead
География найма не уточнена
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