Location: Dublin
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Technical Customer Experience (CX) Specialist, you will be frontline support within our global support team, reporting to a CX Manager. You’ll help legal, tax, and finance professionals at some of the world’s largest firms get the most out of Harvey, and you’ll own technical issues from first response through root cause. This isn’t a typical SaaS support role: Harvey moves fast, priorities shift often, and you’ll wear multiple hats as the product and team scale. We’re looking for someone who loves problem-solving, thrives with ambiguity, and pairs strong technical instincts with real empathy for enterprise customers.
Shift schedules are being finalized and may include hours outside standard local business hours to support our global customers. Specific working hours will be discussed during the interview process and confirmed before an offer is accepted.
WHAT YOU'LL DO
- Serve as the first point of contact for customer support inquiries, delivering empathetic, accurate, and timely resolutions.
- Juggle multiple competing priorities and tasks, ensuring a high level of service and responsiveness.
- Own technical issues across topics like AI output quality, login and SSO, authentication and tokens, REST API integrations, and error logs, working each to root cause by confirming scope, ruling out configuration and environment, and knowing why a fix will work before sending it.
- Investigate with Datadog (including RUM session replay), Omni, Snowflake, and Auth0, and use Claude Code and the Datadog MCP integration to get to answers faster.
- Maintain a high standard of reliability and accountability, ensuring consistent coverage and follow-through during assigned shifts.
- Collaborate with team members to troubleshoot complex issues, escalating them appropriately when needed.
- Maintain a deep understanding of our products and services to provide knowledgeable support.
- Document customer interactions and feedback to aid in continuous improvement of our services.
- Work closely with other departments to resolve customer issues and contribute to the overall customer experience.
- Collaborate effectively as part of a team while confidently owning and executing tasks independently.
- Stay informed of new product features and updates to provide accurate and current support.
- Contribute to the development and refinement of support processes and materials, such as FAQs and knowledge base articles.
WHAT YOU HAVE
- 3+ years proven experience in a technical support role, in a fast-paced environment providing “white glove” or “premium support” to large enterprise customers for AI-driven products
- Exceptional empathy and a genuine desire to help and connect with customers.
- Strong problem-solving skills, with the ability to think creatively and resolve complex issues.
- Excellent organisational skills, capable of managing multiple tasks and priorities effectively.
- Comfortable operating with ambiguity in a fast-moving environment, with a track record of taking ownership
- Strong communication skills, both written and verbal, with the ability to convey complex information in an understandable manner.
- Understanding of APIs, and ability to explain complex API concepts to both technical and non-technical customers.
- Familiarity with customer support tools and CRM systems; experience with Zendesk, Salesforce is a plus.
- Ability to work collaboratively in a team environment and build positive working relationships across departments.
- A passion for learning and personal growth, with a commitment to staying informed about industry trends and best practices.
- Availability to participate in an on-call rotation outside scheduled working hours, including nights, weekends, and holidays, in accordance with the company’s on-call policy.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-SH1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: London
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Technical Customer Experience (CX) Specialist, you will be frontline support within our global support team, reporting to a CX Manager. You’ll help legal, tax, and finance professionals at some of the world’s largest firms get the most out of Harvey, and you’ll own technical issues from first response through root cause. This isn’t a typical SaaS support role: Harvey moves fast, priorities shift often, and you’ll wear multiple hats as the product and team scale. We’re looking for someone who loves problem-solving, thrives with ambiguity, and pairs strong technical instincts with real empathy for enterprise customers.
Shift schedules are being finalized and may include hours outside standard local business hours to support our global customers. Specific working hours will be discussed during the interview process and confirmed before an offer is accepted.
WHAT YOU'LL DO
- Serve as the first point of contact for customer support inquiries, delivering empathetic, accurate, and timely resolutions.
- Juggle multiple competing priorities and tasks, ensuring a high level of service and responsiveness.
- Own technical issues across topics like AI output quality, login and SSO, authentication and tokens, REST API integrations, and error logs, working each to root cause by confirming scope, ruling out configuration and environment, and knowing why a fix will work before sending it.
- Investigate with Datadog (including RUM session replay), Omni, Snowflake, and Auth0, and use Claude Code and the Datadog MCP integration to get to answers faster.
- Maintain a high standard of reliability and accountability, ensuring consistent coverage and follow-through during assigned shifts.
- Collaborate with team members to troubleshoot complex issues, escalating them appropriately when needed.
- Maintain a deep understanding of our products and services to provide knowledgeable support.
- Document customer interactions and feedback to aid in continuous improvement of our services.
- Work closely with other departments to resolve customer issues and contribute to the overall customer experience.
- Collaborate effectively as part of a team while confidently owning and executing tasks independently.
- Stay informed of new product features and updates to provide accurate and current support.
- Contribute to the development and refinement of support processes and materials, such as FAQs and knowledge base articles.
WHAT YOU HAVE
- 3+ years proven experience in a technical support role, in a fast-paced environment providing “white glove” or “premium support” to large enterprise customers for AI-driven products
- Exceptional empathy and a genuine desire to help and connect with customers.
- Strong problem-solving skills, with the ability to think creatively and resolve complex issues.
- Excellent organisational skills, capable of managing multiple tasks and priorities effectively.
- Comfortable operating with ambiguity in a fast-moving environment, with a track record of taking ownership
- Strong communication skills, both written and verbal, with the ability to convey complex information in an understandable manner.
- Understanding of APIs, and ability to explain complex API concepts to both technical and non-technical customers.
- Familiarity with customer support tools and CRM systems; experience with Zendesk, Salesforce is a plus.
- Ability to work collaboratively in a team environment and build positive working relationships across departments.
- A passion for learning and personal growth, with a commitment to staying informed about industry trends and best practices.
- Availability to participate in an on-call rotation outside scheduled working hours, including nights, weekends, and holidays, in accordance with the company’s on-call policy.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-SH1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Spec-driven разработчик, который почти не пишет код руками. Ваша ценность — в точности мышления: вы продумываете задачу, пишете спецификацию, раздаете работу AI-агентам и принимаете результат по доказательствам, а не на глаз.
УдалённоseniorГеография найма не уточнена
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.
О проекте:
Мы строим технологическую платформу для производства, хранения и дистрибуции медиаконтента. Это медиа-хранилище нового поколения, где AI‑агенты берут на себя рутинные и творческие задачи: от автоматической разметки и адаптации контента до его подготовки к публикации в 30+ каналах (сайты и приложения Банка, мессенджеры, соцсети). Решение кардинально сокращает Time‑to‑Market вывода контента и меняет подход к управлению медиа в масштабах крупного банковского бизнеса.
Вы возьмёте на себя техническое лидерство в создании интерфейсов, через которые люди управляют этим интеллектуальным конвейером, и будете ключевым участником проектирования собственных AI‑агентов и мульти‑агентных систем.
Задачи:
В первые 3 месяца (испытательный срок):
• Погружение в платформу: архитектура, кодовая база, бизнес-логика.
• Исправление 1–2 багов для быстрого входа в контекст продукта.
• Реализация 2 небольших фичей под менторством тимлида или самостоятельно.
• Реализация 1 крупной фичи — полноценного модуля с AI‑интеграцией.
После испытательного срока (4–6 месяцев и далее):
• Создание новых сервисов и модулей платформы с нуля.
• Проектирование архитектуры поверхностей взаимодействия с AI — чаты с потоковой передачей ответов (SSE), канвасы, панели мониторинга агентов.
• Участие в проектировании и разработке мульти‑агентных систем и собственных AI‑агентов, интегрированных в продукт.
• Разработка и подключение инструментов на базе Model Context Protocol (MCP).
• Проведение код‑ревью и поддержание высоких стандартов качества.
• Менторство middle- и junior-разработчиков.
• Активное участие в планировании спринтов (2‑недельные циклы), оценка сложности задач.
• Тесное взаимодействие с аналитиками, бэкенд-разработчиками, дизайнерами и тестировщиками.
• Участие в подготовке и выпуске релизов.
Требования:
• Опыт коммерческой фронтенд-разработки от 5 лет, из них от 2 лет в роли Senior.
• Глубокий практический опыт с React, Next.js и TypeScript, понимание внутреннего устройства.
• Опыт проектирования архитектуры сложных фронтенд-приложений и принятия ключевых технических решений.
• Понимание и применение принципов SOLID, DRY, KISS, а также паттернов проектирования.
• Опыт работы с менеджерами состояний (Redux Toolkit, RTK Query) в крупных проектах.
• Уверенные знания HTML5, CSS3 и препроцессоров (SASS).
• Опыт работы с REST API, SSR и серверным Node.js на продвинутом уровне.
• Опыт работы с Server-Sent Events (SSE): проектирование стриминговых интерфейсов, обработка событий на клиенте, реконнекты, graceful degradation.
• Умение писать unit‑тесты (Jest/React Testing Library), опыт внедрения культуры тестирования в команде.
• Опыт наставничества и менторства разработчиков.
• Уверенное проведение код‑ревью и работа по GitFlow.
• Навыки работы с дизайн‑системами и Figma/Pixso для самостоятельного чтения макетов.
Soft Skills и контекст:
• Приоритет: опыт работы в банковской сфере и понимание банковских процессов, требований к безопасности и надёжности.
• Умение аргументировать технические решения перед командой и стейкхолдерами.
• Проактивность: видишь проблемы и предлагаешь решения до того, как они станут критичными.
• Способность вести техническую документацию и понятно транслировать сложные концепции.
Образ идеального кандидата:
Senior фронтенд-разработчик с опытом от 5 лет, с несколькими сложными проектами, желательно в банковской или финтех-сфере. Описывает конкретные архитектурные решения и их влияние на бизнес: проектировал архитектуру фронтенда для стримингового AI‑чата, внедрял MCP‑интеграцию, проводил рефакторинг модулей, снижая Time-to-Market.
Умеет работать в команде, проактивно видит проблемы и предлагает решения, интересуется конструированием AI‑агентов и мульти‑агентных взаимодействий, понимает real‑time интерфейсы на SSE.
Хотит задавать технологические стандарты, растить команду и влиять на продукт.
Условия:
• достойный уровень заработной платы (по итогам технического интервью)
• работа в аккредитованной IT компании
• сотрудничество: ТК РФ, ИП, ГПХ
• ДМС, расширенные возможности стандартного социального пакета
• корпоративный абонемент на фитнес и курсы английского языка
• командная работа по гибким методологиям
• реферальная система «Приведи друга – получи бонус»
Location: Nicosia
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Work Intelligence Unit is building the foundation for a work delivery platform for humans and agents. MCP gives AI assistants secure, permission-aware access to Wrike, Skills help them use that access effectively and GraphQL provides a structured foundation for retrieving and acting on work data.
We are looking for a Senior Product Manager to lead the product direction for Wrike’s AI Platform & Ecosystem, including MCP, Skills and GraphQL. You will make Wrike easier for AI assistants and agents to understand, use and extend.
This is a platform role with broad leverage. You will lead the core MCP team, help other Wrike teams create their own MCP tools and Skills where they hold domain expertise and give the GraphQL engineering team clear product direction on how its capabilities and tools should evolve. You will also own the publishing and ongoing quality of the Wrike MCP plugin across relevant AI marketplaces, including OpenAI, Anthropic and Microsoft.
Role Scope:
You will own the strategy and roadmap for Wrike’s agent-facing platform, working closely with the core MCP and GraphQL engineering teams complemented by Architecture, Security, customer-facing and product teams across Wrike.
MCP, Skills and GraphQL Strategy:
Lead the core MCP team and define the roadmap for how external AI assistants and agents securely interact with Wrike.
Define MCP standards and enable other Wrike teams to create high-quality tools for the domains where they have expertise.
Lead the discovery and creation of Skills that help agents and AI assistants use Wrike effectively, while establishing standards that other teams can follow.
Set the product direction for GraphQL and the tools built on top of it, ensuring its evolution improves the coverage and usefulness of Wrike Core.
Ecosystem, Quality and Distribution:
Own the publishing, maintenance and evolution of the Wrike MCP plugin across relevant marketplaces, including OpenAI, Anthropic and Microsoft.
Create a clear approach to MCP quality, reliability, governance, documentation and developer experience.
Work with customers, partners and internal teams to identify the highest-value agent workflows and improve them through feedback and usage data.
Translate technical trade-offs into clear product decisions; hands-on coding is not required.
What You Will Help Shape:
A scalable MCP and Skills ecosystem that lets AI assistants and agents securely understand and act on work in Wrike, while enabling Wrike teams to contribute their domain expertise.
GraphQL capabilities and tools that broaden the coverage and usefulness of Wrike Core for MCP, Skills, and future agent experiences.
A strong marketplace presence and high-quality plugin experience across the AI assistants where customers want to use Wrike.
Your Impact:
Make Wrike a trusted, useful system of action for AI assistants and agents working across customers’ existing ecosystems.
Give customers reliable, permission-aware ways to let AI assistants retrieve context and take action in Wrike.
Turn customer needs, ecosystem signals and technical constraints into a focused roadmap for MCP, Skills and GraphQL.
Enable other teams across Wrike to contribute agent-ready tools and Skills while maintaining shared standards for quality and governance.
Your Qualifications:
5+ years of PM experience in technical, platform, AI, developer, or enterprise software.
Experience with MCP and Skills, including how agents use tools and guidance to act effectively.
Technical fluency in AI agents, MCP, Skills, permissions, reliability, and developer experience; hands-on engineering is not required. GraphQL experience and an understanding of structured product data is a major advantage.
Use customer research, adoption data, experiments, and feedback to set priorities and improve outcomes.
Explain complex technical concepts clearly to engineers, customers, partners, and senior stakeholders.
Proactive and can-do: take ownership, solve problems, and adapt as you learn.
Why This Role Is Unique:
You will help define how Wrike becomes a trusted platform for AI assistants and agents, not just a destination where work is stored.
You will work at the intersection of agentic AI, developer experience, enterprise permissions, platform strategy and customer value.
The role is remote across the European Union, with a preference for Prague, Czech Republic and Cyprus.
What’s Next?
Introduction Call with a Recruiter
Conversation with the AI Product Director
Interview with Product and Engineering, Architecture representatives
Final interview with CPO and HRBP
Benefits & Perks:
25 working days of paid vacation
Sick Leave Compensation (5 Uncertified + 10 Certified Days)
Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity
2 Volunteer Days
Medical Insurance (Employees + Dependents)
Life Insurance (Employees)
Provident Fund
Hybrid Working Model
School Allowance (Up to €600/month for school aged kids)
Simcard w/ Unlimited Internet Access for active employees
Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
Work Permit, Blue Card & Naturalization Support
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Prague
Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.
Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you.
Our vision:
A world where everyone is free to focus on their most purposeful work, together.
About the Role:
You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Work Intelligence Unit is building the foundation for a work delivery platform for humans and agents. MCP gives AI assistants secure, permission-aware access to Wrike, Skills help them use that access effectively and GraphQL provides a structured foundation for retrieving and acting on work data.
We are looking for a Senior Product Manager to lead the product direction for Wrike’s AI Platform & Ecosystem, including MCP, Skills and GraphQL. You will make Wrike easier for AI assistants and agents to understand, use and extend.
This is a platform role with broad leverage. You will lead the core MCP team, help other Wrike teams create their own MCP tools and Skills where they hold domain expertise and give the GraphQL engineering team clear product direction on how its capabilities and tools should evolve. You will also own the publishing and ongoing quality of the Wrike MCP plugin across relevant AI marketplaces, including OpenAI, Anthropic and Microsoft.
Role Scope:
You will own the strategy and roadmap for Wrike’s agent-facing platform, working closely with the core MCP and GraphQL engineering teams complemented by Architecture, Security, customer-facing and product teams across Wrike.
MCP, Skills and GraphQL Strategy:
Lead the core MCP team and define the roadmap for how external AI assistants and agents securely interact with Wrike.
Define MCP standards and enable other Wrike teams to create high-quality tools for the domains where they have expertise.
Lead the discovery and creation of Skills that help agents and AI assistants use Wrike effectively, while establishing standards that other teams can follow.
Set the product direction for GraphQL and the tools built on top of it, ensuring its evolution improves the coverage and usefulness of Wrike Core.
Ecosystem, Quality and Distribution:
Own the publishing, maintenance and evolution of the Wrike MCP plugin across relevant marketplaces, including OpenAI, Anthropic and Microsoft.
Create a clear approach to MCP quality, reliability, governance, documentation and developer experience.
Work with customers, partners and internal teams to identify the highest-value agent workflows and improve them through feedback and usage data.
Translate technical trade-offs into clear product decisions; hands-on coding is not required.
What You Will Help Shape:
A scalable MCP and Skills ecosystem that lets AI assistants and agents securely understand and act on work in Wrike, while enabling Wrike teams to contribute their domain expertise.
GraphQL capabilities and tools that broaden the coverage and usefulness of Wrike Core for MCP, Skills, and future agent experiences.
A strong marketplace presence and high-quality plugin experience across the AI assistants where customers want to use Wrike.
Your Impact:
Make Wrike a trusted, useful system of action for AI assistants and agents working across customers’ existing ecosystems.
Give customers reliable, permission-aware ways to let AI assistants retrieve context and take action in Wrike.
Turn customer needs, ecosystem signals and technical constraints into a focused roadmap for MCP, Skills and GraphQL.
Enable other teams across Wrike to contribute agent-ready tools and Skills while maintaining shared standards for quality and governance.
Your Qualifications:
5+ years of PM experience in technical, platform, AI, developer, or enterprise software.
Experience with MCP and Skills, including how agents use tools and guidance to act effectively.
Technical fluency in AI agents, MCP, Skills, permissions, reliability, and developer experience; hands-on engineering is not required. GraphQL experience and an understanding of structured product data is a major advantage.
Use customer research, adoption data, experiments, and feedback to set priorities and improve outcomes.
Explain complex technical concepts clearly to engineers, customers, partners, and senior stakeholders.
Proactive and can-do: take ownership, solve problems, and adapt as you learn.
Why This Role Is Unique:
You will help define how Wrike becomes a trusted platform for AI assistants and agents, not just a destination where work is stored.
You will work at the intersection of agentic AI, developer experience, enterprise permissions, platform strategy and customer value.
The role is remote across the European Union, with a preference for Prague, Czech Republic and Cyprus.
What’s Next?
Introduction Call with a Recruiter
Conversation with the AI Product Director
Interview with Product and Engineering, Architecture representatives
Final interview with CPO and HRBP
Benefits & Perks:
5 Weeks of paid vacation
Sick Leave Compensation
5 Paid Uncertified Sick Days
2 weeks fully paid w/ medical certificate, additional
4 weeks paid at 80% salary rate
Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
2 Volunteer Days
Meal Vouchers (CZK 220 per working day)
Annual Prague Travel Card (Lítačka)
Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus
Your recruitment buddy will be
Alexandra Vorobyova
, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
We’re a team of innovators and creators who solve the complex work problems of today and tomorrow.
Hybrid work mode
Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations.
While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection.
Our persona
💡 Smart:
We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched.
💚 Dedicated:
We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too!
🤗 Approachable:
We're friendly, easy to get along with, considerate, and helpful.
Our culture and Values
🤩 Customer-Focused
We care about our customers.
We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together,
each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation.
It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization,
by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Check out our
LinkedIn Life Page
,
Company culture page
,
Instagram
,
Wrike Engineering Team
,
Medium
,
Meetup.com
,
Youtube
for a feel for what life is like at Wrike.
Location: Indonesia; Nigeria; Turkey; United States
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project.
In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions.
You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities.
LOCATION:
Remote
EXPERIENCE:
5+ years in application/product security or security-focused software engineering
PROJECT:
GenAI application security evaluation and AI training
TECHNICAL FOCUS:
Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP
AI EXPERIENCE:
Hands-on experience building LLM agents or RAG applications is required.
Key Responsibilities
Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities.
Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components.
Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences.
Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives.
Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries.
Annotate security findings, including affected assets, root causes, controls, severity, and residual risk.
Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients.
Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors.
Recommend appropriate security controls and remediation approaches.
Participate in technical calibration, peer reviews, and quality assurance activities.
Requirements
5+ years of professional experience in application security, product security, or security-focused software engineering.
Strong experience conducting secure code reviews and identifying application-level vulnerabilities.
Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST).
Hands-on experience with security analysis tools such as CodeQL or Semgrep.
Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications.
Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP).
Strong understanding of authorization models, including:
Actors, identities, and trust boundaries.
Multi-tenant authorization and access control.
OAuth, IAM, and identity management.
Permitted data access and actions.
Purpose and recipient restrictions.
Document-level access control.
Production-level coding experience in Python and/or TypeScript.
Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives.
Strong analytical skills and the ability to communicate technical security findings clearly.
Location: Bangladesh; Brazil; Colombia; Egypt; Ghana; India
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are looking for experienced Application Security Engineers and Security-Focused Software Engineers to support a specialized AI security evaluation project.
In this role, you will assess how effectively static analysis tools identify security vulnerabilities in Generative AI applications, particularly LLM agents and Retrieval-Augmented Generation (RAG) systems. You will build small, runnable repositories containing realistic examples of Sensitive Information Disclosure (SID) and Excessive Agency (EA) vulnerabilities, alongside fixed and near-miss versions.
You will analyze code paths, identify security weaknesses, define authorization contexts, develop deterministic tests, and document findings. Your work will help improve the reliability of security tools and strengthen how AI systems are evaluated for application-level vulnerabilities.
LOCATION:
Remote
EXPERIENCE:
5+ years in application/product security or security-focused software engineering
PROJECT:
GenAI application security evaluation and AI training
TECHNICAL FOCUS:
Python, TypeScript, SAST, CodeQL, Semgrep, LLM agents, RAG, and MCP
AI EXPERIENCE:
Hands-on experience building LLM agents or RAG applications is required.
Key Responsibilities
Build runnable agent and RAG repositories containing code-reachable Sensitive Information Disclosure and Excessive Agency vulnerabilities.
Develop realistic security scenarios involving tool calling, agent memory, Model Context Protocol (MCP), and other LLM application components.
Create vulnerable, fixed, and hard-negative code variants with minimal security-relevant differences.
Evaluate static application security testing (SAST) tools and assess their ability to detect genuine vulnerabilities while avoiding false positives.
Perform source-to-sink analysis and trace relevant data flows, action paths, and trust boundaries.
Annotate security findings, including affected assets, root causes, controls, severity, and residual risk.
Define authorization contexts covering actors, tenants, identities, permitted data, actions, purposes, and recipients.
Develop deterministic tests to validate vulnerable, fixed, and negative security behaviors.
Recommend appropriate security controls and remediation approaches.
Participate in technical calibration, peer reviews, and quality assurance activities.
Requirements
5+ years of professional experience in application security, product security, or security-focused software engineering.
Strong experience conducting secure code reviews and identifying application-level vulnerabilities.
Practical knowledge of source-to-sink analysis, taint analysis, and static application security testing (SAST).
Hands-on experience with security analysis tools such as CodeQL or Semgrep.
Experience building or securing LLM agents and/or Retrieval-Augmented Generation (RAG) applications.
Familiarity with frameworks and technologies such as LangChain, LlamaIndex, OpenAI or Anthropic SDKs, and Model Context Protocol (MCP).
Strong understanding of authorization models, including:
Actors, identities, and trust boundaries.
Multi-tenant authorization and access control.
OAuth, IAM, and identity management.
Permitted data access and actions.
Purpose and recipient restrictions.
Document-level access control.
Production-level coding experience in Python and/or TypeScript.
Ability to distinguish genuine Sensitive Information Disclosure and Excessive Agency vulnerabilities from non-findings and false positives.
Strong analytical skills and the ability to communicate technical security findings clearly.
Задачи:
— Вести два мобильных приложения от спецификации до релиза на iOS и Android, включая полный цикл разработки: обсуждение требований, продакшен и поддержка после релиза.
— Работать по подходу Spec-Driven Development: фиксировать спецификацию до написания кода и обновлять её вместе с задачами и тестами при изменении требований.
— Ставить задачи AI-агентам, проверять и ревьюить сгенерированный код.
— Вносить изменения в бэкенд, работать с API, SQL и внешними интеграциями, включая взаимодействие через AI-агентов.
— Настраивать AI-агентов под проект: создавать инструкции, навыки, контекст, подключать инструменты через MCP или API, автоматизировать процессы.
— Выпускать сборки в App Store и Google Play, расследовать ошибки и проблемы производительности в продакшене.
Требования:
— Уверенный опыт мобильной разработки на React Native и TypeScript.
— Опыт выпуска приложений в App Store и Google Play.
— Ежедневная практика работы с AI-агентами (Claude Code, Cursor или аналоги) и понимание выбора моделей для задач.
— Навык критической проверки сгенерированного кода: ревью, тестирование, поиск ошибок моделей.
— Опыт работы с SQL, REST API и интеграциями со сторонними сервисами.
Будет плюсом:
— Опыт работы в финтехе и кредитных продуктах.
— Опыт настройки AI-процессов для команды: правила для агентов, шаблоны, автоматические проверки.
— Опыт расследования проблем производительности в продакшене.
Условия:
— Удалённый формат работы.
— Заработная плата от 3000 до 4500 евро в месяц.
Компания: ООО Партнер плюс.
• Делать 3D-модели с AI: генерировать из изображений и текста и готовить к использованию в проекте под визуализации или real-time. • Собирать сложные и инженерно точные объекты по референсам и чертежам совместно с Claude или ChatGPT: процедурно и скриптами (Blender + Python).
Задачи: разработка ML-моделей и алгоритмов оптимизации, включая алгоритм приоритизации и ранжирования вариантов замен с формированием трёх наиболее подходящих опций и объяснением критериев выбора; сбор, обработка, нормализация и анализ данных из корпоративных источников, подготовка датасетов и витрин для ML-моделей;
Location: Ukraine; Spain; Serbia; Yerevan; Poland
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a senior pod alongside an FDE, an FDX, and Senior AI Engineers — contributing to real delivery work while building toward independent ownership.
Requirements:
Mindset
Proactive and self-directed; you push for clarity rather than waiting for a ticket.
Excellent communication and problem-solving skills.
Comfortable with some ambiguity, with support from senior team members as you take on more.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
Hands-on experience building or contributing to RAG systems, ideally in a production or near-production setting.
Solid engineering fundamentals; Python and/or TypeScript proficiency. Productive in an unfamiliar codebase with some ramp-up support.
Practical AWS experience (Lambda, S3, ECS, or similar); ready to grow into Bedrock and Bedrock AgentCore .
Some experience with containers and CI/CD in real projects.
Exposure to evaluating non-deterministic systems — you've contributed to or run test/eval cycles, even if you haven't owned a full eval suite end-to-end.
Basic working knowledge of model/agent monitoring concepts.
Awareness of cost and latency trade-offs when working with LLMs.
Some hands-on exposure to the Claude ecosystem (Claude Code, CLAUDE.md, hooks, skills files) is a plus, or strong ability to ramp up quickly.
Practical experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) in real projects.
2+ years of software or ML engineering experience, including some exposure to production systems.
Solid AI/ML foundations — you understand what the models do well enough to reason about common failure modes.
Nice to Have:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications (or actively pursuing them).
A2A: Interest in agent-to-agent interoperability concepts.
CI/CD pipeline experience (GitHub Actions, GitLab CI).
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа.
Experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build.
MCP: you can say why an agent would prefer it to a REST integration, having authored a server is an additional plus.
Responsibilities:
Build and contribute to RAG system components under senior guidance, with growing autonomy.
Write tests and help build out evaluation harnesses for the features you work on.
Write production code across the stack (AI, backend services, data pipelines) with code review support.
Help integrate AI components into backend services and RESTful APIs.
Support deployment of systems to AWS (containerized, CI/CD), taking on more of this independently over time.
Contribute to documentation, runbooks, and client handover materials.
Participate in technical discussions and architectural decisions, with an eye toward taking on more of this independently.
Support model evaluation efforts and help investigate and improve failure modes.
Take on increasing ownership of components and technical decisions as you grow in the role.
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside FDE and FDX
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: Oakland, California, United States
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the role
As Fivetran scales its Enterprise business, we're looking for a senior individual contributor – with a strong bias towards AI automation – to own the International Enterprise pipeline number across North America. You'll be the right hand to the Director of Global Demand, driving lead generation and territory hydration and ensuring the touchpoints and MQL volumes needed to hit Enterprise sales targets. You’ll build and run the always-on 1-to-many ABM engine for Enterprise accounts in North America: agent-driven workflows that turn account signals (intent, tech stack, CRM stage) into campaigns, creative, and landing pages, with guardrails and human review where it matters.
This is a strategy-and-execution role: you'll set the plan and roll up your sleeves with the team to make it work.
What you'll own
You'll own the North America enterprise pipeline number, with accountability for lead generation, territory hydration, and the touchpoint and MQL volumes needed to support sales targets. You'll execute account-specific programs to drive account engagement, lead generation and monitor the funnel from touchpoints through qualified opportunities and pipeline. You will own key paid channels, like LinkedIn and Meta, to drive these outcomes. Things you will build:
Agentic workflows, using Claude or similar harnesses, that creates, launches, and optimizes LinkedIn and Meta campaigns across target-account tiers.
Connections between ad platforms, Salesforce, and signal sources such as intent and tech-stack data, so audiences and creative update without manual list uploads.
A weekly review loop where the system and you assess what worked and improve it.
You'll work across lifecycle marketing, customer marketing, ABM, product marketing, and regional teams to orchestrate integrated programs. Partnering with the Director of Global Demand and Regional Marketing and ABM leaders, you'll improve the demand operating model across North America.
What success looks like
6 months:
target-account tiers and signals defined; an agent-assisted campaign workflow live for a first segment, with measurable gains in launch speed and cost per touchpoint or MQL.
12 months:
the engine runs across the North America Enterprise account list with BDR handoff, and it improves itself through a regular review loop. Pipeline influence and BDR conversion on engaged accounts are tracked.
What we're looking for
Deep, hands-on expertise in paid media and account-based marketing for enterprise buyers (LinkedIn required), plus experience in at least one of lifecycle, customer, or product marketing.
Experience running multi-lifecycle stage campaigns targeting enterprise buying committees
Proficiency in using LLM harnesses to automate marketing tasks, and improve marketing performance
Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs.
Excellent communication skills, specifically in communicating business outcomes, headwinds and tailwinds
You’ve built and shipped agentic or automated workflows in production, not just prompts: connecting APIs or MCP servers, defining guardrails, and measuring impact. Hands-on familiarity with CRM data (Salesforce), ad platform APIs, and signal tools is a strong plus.
You're comfortable operating as a senior IC who leads through influence rather than headcount. You should be comfortable galvanizing support behind an initiative when a number is at risk. You think in systems, you're fluent in the metrics that matter, and you move fluidly between setting strategy and executing the work yourself.
#LI-JC1 #LI-Hybrid
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$173,624
—
$217,030 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
ГибридLondon
ГибридseniorМосква
seniorNicosia; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
seniorPrague; With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations
УдалённоseniorIndonesia; Nigeria; Turkey; United States
УдалённоseniorBangladesh; Brazil; Colombia; Egypt; Ghana; India
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