Product manager AI platform

Wrike; Lisboa; Remote; EUR 90,000 - 150,000; Full time

Job summary

Wrike ищет менеджера продукта с опытом в области MCP и AI, чтобы возглавить развитие экосистемы для агентов и инструментов интеграции. Вы будете формировать дорожную карту взаимодействий внешних AI-ассистентов с Wrike и устанавливать standards для MCP, Skills и GraphQL.

Вы будете работать над созданием качественных инструментов, интеграций и плагинов, сотрудничая с клиентами, партнёрами и внутренними командами, чтобы Wrike стал надежной системой действий в экосистемах заказчика.

Qualifications

• Опыт управления продуктами не менее 5 лет в техническом/платформенном/enterprise ПО.
• Опыт работы с MCP и Skills, понимание того, как агенты используют инструменты.
• Техническая грамотность в области AI-агентов, MCP, разрешений и надежности; HANDS-ON не требуется.
• Умение объяснять сложные концепции инженерам, клиентам и руководству.
• Инициативность, ответственность и адаптивность в работе; приветствуется опыт GraphQL.

Responsibilities

• Руководить основной MCP-командой и определить дорожную карту взаимодействия внешних AI-ассистентов с Wrike.
• Определить стандарты MCP и позволить другим командам Wrike создавать инструменты, повышающие полезность доменов.
• Разрабатывать и устанавливать направления для GraphQL и инструментов на его базе.
• Поддерживать выпуск и развитие Wrike MCP-плагина в маркетаплейсах, включая OpenAI и Microsoft.
• Сотрудничать с клиентами, партнерами и внутренними командами для повышения ценности рабочих процессов агентов.

Skills

PM experience

AI agents

MCP

Skills system

GraphQL

Job description

Описание

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.

Задачи

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. 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. 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. 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.

Требования

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. 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. Будет плюсом: GraphQL experience and an understanding of structured product data is a major advantage

Условия

The role is remote across the European Union, with a preference for Prague, Czech Republic and Cyprus.