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

Document technical requirements, integration needs and proposed solution designs with the M-Files Services and implementation teams for a smooth hand-off.
Provide technical thought leadership through workshops, webinars, solution briefs and reusable demo assets.

Relationships and sales support

Build trusted-advisor relationships with technical and business stakeholders, and enjoy solving their problems directly with them.
Help advance deals, convert prospects and identify expansion and upsell opportunities with existing customers.
Share customer insights, competitive intelligence and feature gaps with Product and Engineering to influence the roadmap.

Operate with data

Track and report your own pipeline influence, POC outcomes and demo effectiveness, and use the numbers to improve how you work.
Bachelor’s degree in Computer Science, MIS, Engineering or a related field preferred; equivalent hands-on experience is valued.
3+ years in a pre-sales, solution consulting or technical consulting role supporting complex software sales cycles, ideally enterprise SaaS, content services, workflow or automation.
Working programming knowledge: comfortable reading and writing code in languages such as Python, JavaScript/TypeScript or C#, and working with REST APIs, JSON, webhooks and SQL.
Practical understanding of modern AI: large language models, retrieval-augmented generation (RAG), prompt design, AI agents and tool use, and the Model Context Protocol (MCP) or similar integration standards, plus clear views on accuracy, hallucination risk, data privacy and AI governance.
Experience with automation and integration platforms and patterns (workflow engines, iPaaS or low-code tools, event-driven integrations).
Metric-driven: you set goals, track results such as POC win rate, demo-to-opportunity conversion and sales cycle impact, and adjust based on evidence.
A natural problem solver and lifelong learner who keeps up with the fast-moving AI landscape and likes to experiment with new tools.
A genuine enjoyment of talking with customers, asking good questions and solving their problems with M-Files products.
Excellent written and verbal communication, with the ability to turn complex technical concepts into clear, compelling messages for both technical and non-technical audiences.

Nice to have

Experience with document management, enterprise content management (ECM), metadata-driven or intelligent document processing solutions.
Familiarity with Microsoft 365, Teams, Salesforce, SAP or other systems M-Files commonly integrates with.
Knowledge of information security and compliance frameworks such as ISO 27001, GDPR and SOC 2, and of regulated industries like life sciences, manufacturing, financial services or the public sector.
Cloud and architecture knowledge (Azure, AWS, identity and access management, APIs).
Experience building AI-powered prototypes, agents or automations, or contributing to internal tools or open source projects.
10 paid holidays annually
Unlimited PTO
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)
As remote enabled company our employees enjoy the flexibility to establish their own life/work balance

Career Guide for Sales Engineer at M-Files

Job Overview

The Sales Engineer at M-Files plays a crucial role in supporting the sales process by using technical expertise to solve customer problems with AI-native information management solutions. You’ll engage with clients to understand their needs, create tailored demonstrations, and help implement the platform’s capabilities.

Key Responsibilities

Pre-sales Engagement: Collaborate with sales teams to identify customer needs and demonstrate how M-Files solutions can meet those needs, including running tailored product demos and proofs of concept.
AI and Automation Solutions: Design and showcase solutions that leverage AI features, helping customers understand how these can be integrated into their existing systems.
Technical Consultation: Document customer requirements and work with implementation teams to ensure smooth transitions from sales to service.
Relationship Building: Foster long-term relationships with clients, act as a trusted advisor, and share insights to drive improvements in the product.
Data Analysis: Monitor and report on demo and POC effectiveness, adjusting strategies based on measurable outcomes.

Required Skills and Knowledge

Technical Skills

Proficiency in programming languages like Python, JavaScript/TypeScript, or C#.
Familiarity with REST APIs, JSON, webhooks, SQL, and automation tools.
Understanding of large language models and AI technologies.

Soft Skills

Excellent problem-solving abilities and a proactive approach to learning.
Strong communication skills, capable of simplifying complex technical concepts.
Ability to build trust and rapport with clients.

Tools and Technologies

Familiarity with content services, workflow automation, and enterprise software solutions.
Experience with integration platforms like iPaaS and low-code tools.
Knowledge of major systems for integration such as Microsoft 365 and Salesforce.

Certifications or Training

Consider certifications in relevant technical fields or AI specialties to boost your profile.
Ongoing education on information security frameworks (e.g., ISO 27001, GDPR) can be beneficial.

Interview Preparation

Common Interview Questions

What experience do you have with AI technologies?
- Advice: Share specific examples of projects where you’ve implemented or worked with AI solutions.
How do you approach understanding a customer’s needs?
- Advice: Emphasize your structured process for discovery and inquiry techniques.
Can you describe a time when you faced a technical challenge and how you solved it?
- Advice: Provide a clear and concise example focusing on the steps you took and the outcomes.
How do you communicate technical information to non-technical stakeholders?
- Advice: Highlight your communication strategies and adaptations.
What do you know about M-Files’ products and services?
- Advice: Show your research and understanding of their platform and its competitive advantage.
How do you handle objections from customers?
- Advice: Discuss techniques for addressing customer concerns and converting objections into opportunities.
What metrics do you track to measure your success in pre-sales?
- Advice: Mention specific KPIs such as POC win rates and demo conversion rates.
Describe a successful proof of concept you delivered.
- Advice: Detail the goals, process, and results, focusing on customer impact.
How do you stay updated with advancements in AI and technology?
- Advice: Share resources, courses, or forums that you engage with regularly.
What do you find most challenging about working in pre-sales?
- Advice: Be honest about challenges while demonstrating your strategies to overcome them.

Important Topics to Review

AI and machine learning concepts.
M-Files product specifics and features.
Common industry use cases for enterprise content management.

How to Increase Your Hiring Chances

CV Improvement

Tailor your CV specifically to highlight experiences relevant to the Sales Engineer role.
Use metrics and data to showcase your achievements and impact in previous roles.

LinkedIn Profile Optimization

Ensure your profile is up-to-date with relevant skills, endorsements, and recommendations.
Engage in industry discussions and share content related to AI and information management.

Portfolio or Project Ideas

Showcase any relevant projects where you developed AI-driven solutions or integrations.
Demonstrate proficiency in programming through GitHub repositories.

Learning Recommendations

Explore online courses on AI, automation platforms, or enterprise systems.
Stay engaged with community forums and webinars to expand your knowledge base.

Career Growth

Starting as a Sales Engineer can lead to several career paths:

Senior Sales Engineer: Where you’ll lead larger accounts and more complex projects.
Sales Manager: Transitioning into a leadership role overseeing a sales engineering team.
Product Management: Utilizing your insights from customer interactions to influence product strategy.
Technical Consultant or Architect: Focusing on more tailored, large-scale implementations.

Investing in continuous learning and building strong relationships within the industry can enhance your career trajectory in these areas.