About Wrike
Wrike provides a work management platform that brings teams and their work together to simplify collaboration, increase productivity, and help people focus on meaningful work.
Responsibilities
•Lead the product direction for Wrike's AI Platform & Ecosystem, including MCP, Skills, and GraphQL
•Own the strategy and roadmap for Wrike's agent-facing platform in collaboration with engineering, architecture, security, customer-facing, and product teams
•Lead the core MCP team and define how external AI assistants and agents securely interact with Wrike
•Define MCP standards and enable other teams to create high-quality tools in their areas of expertise
•Lead the discovery and creation of Skills that help agents and AI assistants use Wrike effectively, and establish standards for other teams
•Set product direction for GraphQL and related tools to improve Wrike Core's coverage and usefulness
•Own the publishing, maintenance, and evolution of the Wrike MCP plugin across relevant marketplaces, including OpenAI, Anthropic, and Microsoft
•Establish an approach to MCP quality, reliability, governance, documentation, and developer experience
•Work with customers, partners, and internal teams to identify valuable agent workflows and improve them using feedback and usage data
•Translate technical trade-offs into clear product decisions
•Build a scalable MCP and Skills ecosystem that enables AI assistants and agents to securely understand and act on work in Wrike
•Shape GraphQL capabilities and tools for MCP, Skills, and future agent experiences
•Strengthen Wrike's marketplace presence and plugin experience across AI assistants
•Make Wrike a trusted system of action for AI assistants and agents across customers' existing ecosystems
•Provide customers with reliable, permission-aware ways for AI assistants to 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 to contribute agent-ready tools and Skills while maintaining shared quality and governance standards
Requirements
•At least 5 years of product management experience in technical, platform, AI, developer, or enterprise software
•Experience with MCP and Skills, including how agents use tools and guidance
•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
•Take ownership, solve problems, and adapt while learning
Nice to have
•GraphQL experience and an understanding of structured product data
Conditions
•25 calendar days of paid vacation
•Compensation for sick leave, including 5 paid uncertified sick days
•Parental leave: 18 weeks of maternity leave and 4 weeks of paternity leave
•2 volunteer days
•Medical insurance for employees and dependents
•School allowance of up to €600/month for school-aged children
•SIM card with unlimited internet access for active employees
•Office lunch allowance via Wolt on Wednesdays and Thursdays
