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 tools across the organization for engineering, product management, product and release planning, monitoring and decision making There are close to real time insights available for decision making around the flow of value through the product organization and where the bottlenecks are Other units in M-Files are aware of the Operating Model, so they understand how they can request work to be planned and have visibility of the outcome Other units have a close to real time view of at an appropriate level of how releases are going Scaled your team's capabilities, nurturing talent and inspiring growth within your domain What this role is not This role is not a technology enthusiast position. The job is not to introduce AI tools because they are interesting. The job is to drive measurable operational improvement in how M-Files builds product. This role does not own product roadmap decisions, customer relationships, or GTM execution. Those sit with Platform Directors and product leads. This role creates the operating infrastructure they rely on. Skills & Experience Must have 5+ years in product management in B2B SaaS, with direct experience in enterprise or regulated-industry products Demonstrated hands-on use of AI tools in PM workflows: not familiarity, not curiosity, but operational integration into daily work Track record of designing and operating processes, not just following them Ability to work in a PE-backed environment: you understand that speed, measurability, and ARR impact are not optional constraints Strong written communication: you produce specifications, frameworks, and documentation that are clear enough to be used without explanation Strong advantage Experience with enterprise content management, information governance, or AI knowledge management products Familiarity with AI agent concepts, MCP integrations, or LLM-grounded product architectures Background in organizational design, process improvement, or lean product operations Exposure to FedRAMP, compliance, or regulated-industry product contexts How You Think and Work You treat processes as products — with users, outcomes, and a need for continuous iteration. You draw a clear distinction between tools that make people faster and those that make thinking shallower. Comfortable with ambiguity at the edges, you are intolerant of vagueness where it matters most. You measure outcomes, not effort, and you document for the team, not for yourself. Why M-Files? We are a global company with Finnish roots and with a product that we are very proud of! By joining M-Files, you will get the opportunity to contribute to our success and growth, while developing your own expertise. Our team is fun, and our solutions are changing the market! Our guiding principles of " Make It Happen ", " Help Others ", and " Love Customers " are highlighted through our daily actions as a team. Transparent communication and outstanding team spirit were listed as our strengths in our M-Filer Experience survey. What We Offer: International team of top performers Inclusive and dynamic culture (virtual and in-person) Opportunity to contribute to our success and growth globally Flexible work/life balance Competitive compensation and benefits package Does this sound exciting to you? Join M-Files and help industry leaders transform the way they manage information and drive business success! Please submit your application, salary request, and CV as soon as possible, but no later than July 19th, 2026 . We start processing applications immediately and the positions are filled once a perfect match is made. Application note: Due to the high volume of interest, we won’t be able to respond to LinkedIn InMails. Instead, we encourage you to focus on a clear, thoughtful application, especially your cover letter. Applications must be submitted through our career portal or job boards such as LinkedIn. We do not accept applications via email. Please note that, due to the high volume of applications, we are unable to respond to LinkedIn InMails. Finally, please be aware that we do not sponsor relocation for this role and will only consider applicants currently based in M-Files countries (Finland, Sweden or Norway).