M-Files

Artificial Intelligence

• Discover & shape high-value AI opportunities (internal process focus)
• Partner with functional leaders to identify workflows where AI can remove friction, reduce cycle time, improve accuracy, or strengthen compliance.
• Map the current state process, identify bottlenecks and failure modes, and re-design the process to be automation-ready (clarify inputs/outputs, decision points, data sources, controls, and ownership).
• Define success metrics (time saved, error reduction, throughput, adoption, auditability) and translate business goals into a build plan.
• Build internal AI agents and automation tools (end-to-end ownership)
• Design and implement internal agents using modern LLM patterns (tool use/function calling, retrieval-augmented generation where needed, structured outputs, and human-in-the-loop checkpoints).
• Build whole-product solutions: lightweight UX, service/API layer, integrations, data access, and automation triggers—appropriate to the use case.
• Use AI-assisted development techniques to speed delivery while sustaining maintainability and readability.
• Operate, maintain, and scale (production mindset)
• Own reliability: monitoring, alerting, logging, incident response, and continuous improvements.
• Establish repeatable patterns for onboarding new workflows and scaling existing ones (templates, shared components, evaluation harnesses, documentation).
• Create and maintain runbooks and lightweight training so internal teams can adopt solutions confidently.
• Risk, control, oversight, security & compliance by design
• Implement appropriate guardrails: data minimization, access controls, secrets management, safe prompt/tooling patterns, output validation, and traceability.
• Ensure solutions meet internal security and compliance expectations (including audit readiness, change management discipline, and clear ownership).
• Maintain clear documentation of how systems work, what data they touch, and how risks are mitigated.
• Cross-functional coordination
• Coordinate across IT/Security, Legal/Privacy, and functional SMEs to get solutions approved and adopted.
• Communicate progress with crisp updates; manage tradeoffs between speed and rigor.
• Outcomes to be achieved
• A portfolio of high-impact internal AI agents deployed into real workflows (not demos), with measurable business outcomes.
• A scalable operating model for internal AI: reusable components, clear governance, and a predictable path from idea → production.
• Reduced process friction through AI + process redesign, not AI bolted onto broken workflows.
• High trust in outputs through appropriate controls, auditability, and operational reliability.
• Working style / What success looks like here
• You are low ego, high output: you can operate independently, but you collaborate naturally and bring others along.
• You can move fast without being reckless: you know where to be scrappy and where to add rigor.
• You care about outcomes: automation only matters if it changes how people work.

AI Operations Engineer – Internal Agents, Workflow Automation

Growth Marketing

• **What You Will Be Doing / Responsibilities and Duties**
• **Website Strategy & Governance**
• - Own website strategy and digital experience vision
• - Manage a prioritized roadmap tied to pipeline impact
• - Establish structured intake and evaluation processes
• - Apply AI-assisted prioritization
• - Safeguard strategic focus and conversion performance
• **High-Intent Growth & CRO**
• - Improve Demo and Sales inquiry performance
• - Design ICP- and persona-based journeys
• - Use AI to identify friction, generate test ideas, optimize messaging, and predict intent
• - Lead structured experimentation (A/B, CTA, layout testing)
• - Continuously optimize conversion architecture
• Primary KPIs: High-intent conversion rate, Demo growth, Sales-accepted leads, Website-influenced pipeline
• **AI-Driven Personalization**
• - Personalize by industry, behavior, source, and buyer stage
• - Dynamically adapt messaging, proof points, and CTAs
• - Integrate behavioral data with AI-based intent scoring
• - Align with Demand Gen and GTM Operations
• **Analytics & AI-Augmented Decision Making**
• - Define KPIs linking web behavior to revenue
• - Use AI to surface trends, forecasts, and lift opportunities
• - Build automated executive dashboards
• - Translate insights into prioritized actions
• - Increase experimentation velocity
• **Brand & Digital Experience**
• - Ensure consistent, differentiated brand expression
• - Validate messaging clarity with AI testing
• - Balance brand governance with performance optimization
• - Partner with Brand and Product Marketing
• **SEO & AI Discovery**
• - Optimize architecture for semantic and AI search
• - Structure content for answer engines and LLM visibility
• - Use AI to identify gaps and intent clusters
• - Monitor traditional and AI-based search performance
• **AI-Enabled Team Operations**
• - Embed AI into briefs, QA, reporting, and launches
• - Establish responsible AI governance
• - Train and mentor the web team
• - Drive efficiency without compromising quality
• **Cross-Functional Leadership**
• - Partner with Product, Sales, Corporate, and Demand Generation
• - Align on lead quality and conversion impact
• - Lead sprint planning and roadmap reviews
• - Mentor web team and maintain disciplined execution
• **What Success Looks Like**
• - Growth in high-intent conversions (Demo, Talk to Sales)
• - Increased website-sourced pipeline
• - Faster, AI-powered experimentation cycles
• - Personalized journeys driven by behavioral and intent data
• - Clear governance and predictable roadmap execution
• - AI embedded in daily workflows to improve speed and scale

Senior Manager, Web & Digital Growth

Business Development Rep

• **What you will be doing/Responsibilities and Duties:**
• - Collaborate closely with Account Executives to develop joint strategies for prospect engagement, pipeline growth, and customer success.
• - Think strategically about account prioritization and creative ways to open conversations with key decision-makers.
• - Partner with assigned Sales team to strategically identify and qualify target accounts, increasing pipeline and revenue within your territory
• - Meet/exceed your monthly/quarterly meeting targets, quality, and activity goals
• - Leverage account maps, technology stack, and account research to conduct prospecting and uncover latent demand.
• - Deliver key promotional messages to a sophisticated target audience, using all available mediums including telephone, email, social media and other techniques.
• - Collaborate closely with colleagues in sales and marketing to share and obtain feedback, lessons learned and best practices.
• - Ability to travel for internal conference (GTM Kickoff) in January
• - Potential travel to relevant team events and conferences semi-yearly/yearly

Business Development Representative – Pipeline Opportunity

Program Manager

• **Responsibilities and Duties:**
• - Define program scope, structure, and success criteria to support overall customer and business objectives.
• - Ensure projects within the program are scoped accurately and resourced appropriately.
• - Collaborate with Solution Architects to validate solution definitions and effort estimates.
• - Work with Sales to confirm program budgets support required delivery capacity.
• - Coordinate with Services Leadership to confirm availability of consulting resources.
• - Collaborate with the Subcontracting Manager to ensure subcontracted components can be sourced and integrated effectively.
• ****Program Execution & Delivery**
• - 10 + years of project and program manager experience in the ICT sector
• - Secure and coordinate consulting, Product Development (PD), and subcontracted resources needed across all program projects.
• - Establish program‑level governance, communication practices, and meeting cadences.
• - Ensure stakeholders understand roles, responsibilities, and expectations across the full program.
• - Oversee task allocation within project teams and monitor progress across streams.
• - Maintain strong communication and transparency with customers at program level.
• - Identify and resolve cross‑project dependencies, risks, and issues proactively.
• - Manage scope changes across the program, ensuring impact analysis and approval on schedule, cost, and resource plans.
• - Drive the program toward successful completion, ensuring all deliverables are approved by the customer.
• ****Collaboration Opportunities**
• - Report and escalate program‑level delivery risks to the Team Manager or Director, Project Management Office.
• - Collaborate closely with Sales (Sales Managers, Key Account Managers) throughout the program lifecycle.
• - Coordinate resource allocation with Regional Services Leadership.
• - Work with PD Team Managers to secure and track PD contributions for program needs.
• - Engage Service Managers early to plan the transition from program delivery into ongoing service management.

Customer Success Manager

• Own and grow a portfolio of strategic enterprise and upper mid-market customers, ensuring long-term success, retention, and expansion
• Build and maintain trusted relationships with executive sponsors and key decision-makers within customer organizations
• Drive customer value realization by aligning M-Files solutions to customer business objectives and success metrics
• Lead strategic account planning, including success plans, executive business reviews, and long-term roadmaps
• Proactively identify risks, manage escalations, and mitigate churn through early intervention and structured engagement
• Identify and drive upsell and cross-sell opportunities in close collaboration with Sales
• Partner with Professional Services during onboarding and key milestones to ensure smooth implementation and strong user adoption
• Act as a senior escalation point and advocate for the customer across Product, Support, Sales, and Services
• Bring structured customer feedback and insights into the organization to influence product direction and service improvements
• Support the development of Customer Success best practices and mentor other team members where appropriate

Principal Customer Success Manager

Consultant

• Your daily work consists mostly of consulting with direct customers and M-Files partners in M-Files projects. You will be supporting our customers in developing their business processes with the use of our product.
• Your main responsibilities include defining business requirements with the customer and planning a system design with the ascertained requirements. By choosing the correct methods of implementation with scalability and maintenance in mind, you ensure a high customer value throughout the solution's lifecycle. You will also participate in the continuous development of our implementation practices.
• We are looking for team players, who are inspired of learning new, working in project mode and working together with the team. We value the will to solve customer's technical issues, we value a consultative way of working and good communications skills.

Consultant – System Specialist

• Work closely with your team in both national and international customer projects
• Share your knowledge and sparring with your colleagues
• Consult with direct customers and M-Files partners in M-Files projects
• Support our customers in developing their business processes with the use of our product
• Define business requirements with the customer and plan a system design with the ascertained requirements
• Choose the correct methods of implementation with scalability and maintenance in mind
• Ensure a high customer value throughout the solution's lifecycle
• Participate in the continuous development of our implementation practices

Senior Consultant – Senior Systems Specialist

Product Marketing

• **Core Responsibilities**
• **Competitive Intelligence Leadership**
• - Developing and maintaining a structured competitive intelligence program including win/loss
• - Analyzing competitors’ product capabilities, roadmap signals, AI positioning, and go-to-market strategies
• - Monitoring, aggregating, synthesizing and communicating market trends and emerging AI use cases relevant to M-Files
• - Delivering clear, actionable insights to product management, go-to-market teams and leadership
• **AI-Focused Market Analysis**
• - Assessing competitive positioning in AI-driven automation, content intelligence, and enterprise information management
• - Identifying competitive gaps and opportunities aligned with Board-level priorities
• - Partnering with Product Management to translate findings into roadmap recommendations
• **Sales Enablement**
• - Creating and maintaining battlecards, objection-handling guides, and competitive messaging
• - Supporting Sales with deal-specific competitive insights when needed
• - Conducting internal training sessions to improve competitive fluency
• **Cross-Functional Collaboration**
• - Acting as the bridge between Product, Marketing, Sales, and Services on competitive topics
• - Ensuring messaging reflects current product capabilities and roadmap direction
• - Sharing structured insights with leadership on competitive risks and opportunities