
501 - 1000 employees
Founded 2009
☁️ SaaS
⚡ Productivity
🏢 Enterprise
SaaS • Productivity • Enterprise
M-Files is a leader in knowledge work automation, providing intelligent solutions for document management, workflow automation, and content collaboration. The company focuses on automating and simplifying processes for knowledge workers, enhancing productivity, compliance, and security. With a range of industry-tailored solutions, M-Files integrates seamlessly with various existing applications like Microsoft 365, Google Workspace, and Salesforce, offering comprehensive enterprise content management.
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501 - 1000 employees
Founded 2009
☁️ SaaS
⚡ Productivity
🏢 Enterprise
SaaS • Productivity • Enterprise
M-Files is a leader in knowledge work automation, providing intelligent solutions for document management, workflow automation, and content collaboration. The company focuses on automating and simplifying processes for knowledge workers, enhancing productivity, compliance, and security. With a range of industry-tailored solutions, M-Files integrates seamlessly with various existing applications like Microsoft 365, Google Workspace, and Salesforce, offering comprehensive enterprise content management.
• Partner with leaders across Sales, Marketing, Revenue Operations, Customer Success, and other functions to identify high-value AI opportunities • Map current-state processes, identify bottlenecks and failure modes, and redesign processes for automation • Define success metrics and translate business goals into build plans • Design and implement internal AI agents and agentic workflows using LLM patterns, tool use/function calling, retrieval-augmented generation, structured outputs, orchestration, and human-in-the-loop checkpoints • Build end-to-end solutions including UX, service/API layers, integrations, data access, triggers, and connections to business systems • Integrate systems through APIs, authentication, structured data formats, and webhooks • Use AI-assisted development techniques while maintaining quality and maintainability • Own production reliability through monitoring, alerting, logging, incident response, and continuous improvement • Establish reusable patterns, shared components, evaluation harnesses, templates, and documentation • Create runbooks and lightweight training for internal teams • Implement guardrails including data minimization, access controls, secrets management, safe prompting/tooling, output validation, and traceability • Ensure security, compliance, audit readiness, change management, ownership, privacy, and consent requirements • Document system operation, data access, and risk mitigations • Coordinate with Business Technology, IT/Security, Legal/Privacy, and subject matter experts • Communicate progress clearly and manage tradeoffs between speed and rigor • Deploy high-impact internal AI agents into real business workflows and establish a scalable operating model for internal AI
• Ability to build and maintain end-to-end software from design through deployment and ongoing operation • Strong engineering fundamentals • Proficiency in at least one modern programming language such as Python, TypeScript, C#, or Node.js • Comfort learning additional technologies • Practical experience integrating systems via APIs, authentication, and structured data formats • Ability to work with non-technical stakeholders, translate ambiguous problems into specifications, iterate quickly, and drive adoption • Familiarity with Sales, Marketing, Revenue Operations, or Customer Success • Experience integrating CRM, marketing automation, sales engagement, customer success/support platforms, ERP, or similar enterprise applications through APIs and webhooks • Familiarity with GTM workflows and data involving leads, accounts, opportunities, activities, customer engagement, and support processes • Comfort working with marketing, sales, and customer data, including data quality, enrichment, privacy, and consent • Experience building cloud-based services • Experience with CI/CD, source control, test automation, and operational monitoring • Knowledge of networking, identity, secrets management, and infrastructure automation • Experience or strong interest in AI-assisted development • Hands-on experience building LLM-powered tools and agents, including prompting, tool use/function calling, retrieval, orchestration frameworks, and evaluation/quality approaches • Ability to design safe and predictable AI systems using validation, fallbacks, human-in-the-loop approaches, and clear failure handling • Preferred: familiarity with enterprise security and compliance, Lean or operational improvement, and internal tools driving adoption across business functions
• Opportunity to contribute to M-Files' success and growth while developing expertise and helping build the AI capability • Flexible work/life balance as a remote-enabled company • Matching 401K Plan (25% of employee's contribution up to the IRS max) • Health insurance (PPO and HDHP/HSA plans offered) • Dental insurance • Vision insurance • Life insurance (1x employee salary) • Short-term disability (employer paid) • Long-term disability (employer paid) • Flexible Spending Plan (medical and dependent)
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