Principal, Product Management Operations (FIN, SWE, NOR)

APPLICATION DEADLINE: We encourage you to apply soon if interested, this role will be taken offline based on applicant volume. LOCATION : This role is open for remote work within Europe in one of our M-Files countries (Finland, Sweden or Norway). Candidates must already be located in and have a valid work permit for the country of employment. No relocation support is provided. M-Files is redefining how work gets done. Our context-first document management system offers purpose-built business use cases—spanning universal and industry-specific workflows—to enable secure collaboration, automate processes, and ensure governance. Unlike traditional systems, M-Files organizes content around the context of your business, connecting documents to related people, projects, and transactions. With our unique metadata-driven architecture, organizations can model content in line with their business processes, unify information across silos, and apply AI at scale. The result is greater productivity, reduced risk, and smarter, faster decisions for over 6,000 customers in 100+ countries. For more information, visit https://m-files.com/ The Principal, Product Management Operations owns how AI is embedded into the product development lifecycle across the Product Management organization. This is not an advisory or evangelism role. It is an operational and strategic execution role: designing, deploying, and running the AIaugmented PDLC processes that allow M-Files' PM team to operate at higher speed, higher quality, and lower cognitive overhead than peer organizations. The role works directly with the VP of Product Management and is accountable for measurable outcomes: faster cycle times, better signal-to-noise in discovery, and AI-first ways of working that become the M-Files operating standard. Key Responsibilities AI PDLC Design and Operation Design and maintain the end-to-end AI-First product management lifecycle, from discovery through delivery and iteration Own the tooling stack, prompt libraries, agent configurations, and workflow automation that PM teams use daily Ensure every phase of the PDLC has a defined AI-augmentation pattern: what the AI does, what the PM does, and how quality is verified Keep the PDLC current as M-Files' own agent portfolio (Aino, Chat, Workflow, MCP Connect, Insights) evolves Continuous Discovery Infrastructure Build and operate scalable discovery pipelines: customer signal aggregation, interview synthesis, competitive monitoring, and insight routing to the right PM at the right time Define how AI tools (including internal M-Files agents) are used in user research, persona modeling, and hypothesis generation Establish quality standards for AI-assisted discovery outputs, distinguishing genuine customer insight from AI-generated noise Product Management Team Capability and Standards Define what AI-First PM competency looks like at M-Files, and build the learning infrastructure to close capability gaps Run onboarding for new PMs on AI tooling and PDLC standards; maintain documentation that does not require your presence to be useful Establish and enforce output standards across the team: specifications, decision records, discovery artifacts, and measurement frameworks Measurement and Feedback Loops Instrument PM operations: track cycle times, rework rates, discovery quality, and shipping cadence Report PM operational metrics to VP Product Management; flag systemic issues and propose structural fixes Connect PM process performance to product outcomes: AI-attributed ARR, feature adoption, NRR impact Key Performance Outcomes Unveiled and embedded a symphony of streamlined processes, shortening time-to-market and enhancing cross-functional collaboration Have the organization build the muscle to self-organize around the set of defined, measurable outcomes you have landed and helped communicate Successfully orchestrated timely releases catering to the diverse needs of our global clientele There are a harmonized set of tool