Senior Product Manager II, Developer ecosystem MCP (Remote from UK)

About The Role For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is building the AI connectivity layer that lets enterprise teams work through the AI assistants they already use - Claude, Copilot, Gemini, and ChatGPT. The Model Context Protocol (MCP) is at the centre of that strategy, and this role owns its adoption and growth. With 7,500+ organisations connected across five AI platforms and an Anthropic case study validating Smartsheet’s position, MCP is one of the most strategically significant product areas in the company. This is an individual contributor role for a senior product leader who owns product strategy through an adoption lens, and who lives with customers and power users to bridge field signals with engineering direction. The core personas are the people pushing AI hardest - CLI power users, agent builders, and the teams wiring tools and agents into their daily work. You are their voice inside Smartsheet, and Smartsheet’s voice to them. This person operates as the product peer to the engineering lead for MCP, planning and launching together day to day. As the platform matures and this role builds the track record to take on more, we expect the scope to grow, potentially into leading industry-vertical specialisation (for example Pharma, Fintech, Construction) as those needs emerge. You will work remotely from the UK and report to the Director, Product Management. You Will:

• Own the MCP adoption strategy and shape roadmap priorities based on usage and persona evidence, in partnership with the Director of Engineering who owns the technical roadmap.
• Own the activation and adoption pathway, understanding why connected organisations don’t become active tool callers, run research and data analysis against usage patterns, and shape product and go to market investments that convert connection into daily value
• Champion CLI power users, agent builders, and tool calling developers as core product personas, spending real time with them, understanding their workflows across Claude, Copilot, Gemini, and ChatGPT, and making their needs legible to engineering and product leadership
• Sit with customers on their actual use cases, run pilots and proof of concepts alongside client teams, capturing what they build with MCP tools and agents, and turning those engagements into showcases, reference stories, and adoption plays the field can run
• Be the field enablement engine for MCP, building the demos, playbooks, documentation, and enablement content that helps Sales, Customer Success, and Solutions teams tell the MCP story and land it with enterprise customers
• Document the platform for the people who use it, clear, current, use case driven documentation of MCP toolpoints, agents, and integration patterns that makes the ecosystem self serve for customers and internal teams
• Partner day to day with the MCP engineering lead as product and engineering peers, jointly owning the go live and launch plan for MCP capabilities, from how features are shaped and released to how the adoption curve is driven afterwards
• Help engineers see what customers see, bringing client use cases, research findings, and adoption data into engineering conversations so the team understands what to build to unlock more usage
• Be the internal front door for MCP, help other teams understand the tool surface, see where their capabilities fit, and take part in building toolpoints with us, maintaining a federated view of tool coverage and capability gaps across contributing teams
• Work closely with the Smart Assist team to ensure a coherent and aligned customer experience is delivered regardless of how customers access MCP capabilities, surfacing cross-team insights and dependencies
• Own business metrics, usage patterns, and data signals, partnering with Business Intelligence to define success metrics for every capability, instrument from day one, and use post launch data to guide iteration and prioritisation
• Author crisp product briefs and use case narratives grounded in customer evidence that give engineering and design…