Sales Engineer

APPLICATION DEADLINE: We encourage you to apply soon if interested, this role will be taken offline based on applicant volume. 

Who We Are

M-Files is the leading platform for AI-native information management. Its metadata-driven architecture, embedded workflow engine and built-in AI (including the Aino assistant) let customers find information faster, automate business processes, and strengthen security and compliance, without moving content out of the systems where it already lives.

Headquartered in Finland with teams worldwide, M-Files is investing in the next phase of the platform: agentic AI, intelligent metadata and process automation, and open integration with the wider enterprise AI ecosystem. As a Sales Engineer, you help shape how customers adopt that future.

Summary of the role

Reporting to the Manager, Sales Engineering, you are the technical authority in the sales cycle: a curious, metric-driven problem solver who is equally at ease in a discovery call, a live build and a code editor. You will uncover customers' real business problems, design AI and automation solutions on the M-Files platform, and prove their value through tailored demos and proofs of concept. You will work closely with Sales, Services, Product and Engineering to turn what you learn from customers into wins and into a better product.

What you will be doing

Pre-sales and discovery

• Partner with Account Executives to run structured discovery, qualify opportunities and map customer pain points to measurable business outcomes.
• Script, configure and deliver value-driven demos tailored to the prospect's industry, data and processes.
• Plan, run and close out proofs of concept (POCs) with clear success criteria, timelines and results.

AI and automation solutioning

• Design and demonstrate AI-powered solutions on M-Files: intelligent metadata and classification, AI assistants, document and data extraction, workflow automation and agent-driven processes.
• Build integrations and extensions using the M-Files APIs, connectors and low-code or scripted tooling, and connect M-Files to customers' systems such as CRM, ERP and collaboration tools.
• Advise customers on responsible AI adoption: data quality, security, access control, governance and regulatory compliance.
• Explain how AI features work, where their limits are, and how they fit the customer's architecture, answering technical objections with confidence and honesty.

Technical consultation