• Own the ongoing internal AI strategy and operating model: decide which capabilities to invest in, which to retire, and keep the model current as tools and needs change. • Set product direction for the internal knowledge/context layer and the library of reusable skills, agents, and workflows; set priorities and partner with engineering and data on delivery. • Own the standards, governance, and trust model with security, legal, and the AI Governance Committee so employees move fast within clear, safe guardrails. • Own the metrics that show whether the internal AI investment is paying off (adoption, reuse, change in how work gets done) and reset priorities each cycle. • Set the adoption strategy and the bar for what scales company-wide; deliver through L&D, an ambassador network, and department leaders.

• 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 • 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 • 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 • 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

• Developing a working knowledge of Talogy’s solutions and platforms. • Responding promptly and professionally to requests for client support, with the aim of ensuring satisfactory resolutions for all parties. • Taking calls and emails from clients and colleagues, handling them in a friendly and professional manner. • Scenarios can include (but not limited to): Answering general questions and requests for information about our products and platforms. • Processing product purchases. • Supporting set up of product demos. • Handling complaints or feedback on from clients. • Providing technical support where appropriate. • Onboarding new clients to Talogy platforms. • Tasks can include but not limited to: Liaising with colleagues or clients directly to gather the requirements using the relevant request templates. • Configuring new client accounts on Talogy platforms. • Configuring basic platform customisations eg branding, email templates & assessment packages. • Supporting clients to independently use Talogy platforms by providing supporting materials or running live platform training. • Running managed-service projects on Talogy platforms with limited support.

• Own the end-to-end VIP user journey across App and Web, including VIP purchase, user center, benefits center, referral, notifications, swag/benefit application, and event participation. • Improve VIP product experience by identifying user pain points and enhancing benefit visibility, tier understanding, and overall usability for different VIP segments. • Design and execute growth and lifecycle initiatives to drive VIP acquisition, activation, engagement, retention, and user recall. • Plan and run VIP campaigns and operational activities, ensuring strong execution, QA, and post-campaign analysis. • Work closely with Product, Engineering, Design, Marketing, CRM, Sales, and Regional teams to deliver scalable solutions using existing platform capabilities. • Use data analysis to monitor funnel performance, user behavior, campaign ROI, and key VIP growth metrics, and turn insights into action plans.