Remote Sales Engineer — AI Solutions Architect

M Files; United States; Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

10 paid holidays

Unlimited PTO

Matching 401K

Health insurance

Dental insurance

Vision insurance

Life insurance

Short-term disability

Long-term disability

Flexible Spending Plan

Remote-friendly policy

Job summary

M-Files is seeking a Sales Engineer who serves as the technical authority in the sales cycle, diagnosing customer problems, designing AI-driven metadata and automation solutions, and proving value through tailored demos and proofs of concept.

You will collaborate with Sales, Services, Product and Engineering to translate customer learnings into wins, while guiding deployments and ensuring responsible AI practices.

Qualifications

• Bachelor's degree in CS / MIS / Engineering or related field or hands-on equivalent.
• 3+ years in a pre-sales, solution/technical consulting role in enterprise SaaS.
• Reading/writing code in Python, JavaScript/TypeScript or C#, with REST APIs and SQL.
• Understanding of modern AI, LLMs, RAG, prompts and governance.
• Experience with automation platforms and iPaaS / low-code patterns.

Responsibilities

• Partner with Account Executives to discover and map customer pain points to outcomes.
• Design AI-powered solutions on M-Files and deliver value-driven demos and PoCs.
• Build integrations using M-Files APIs and connect to CRM/ERP systems.
• Provide technical thought leadership via workshops, briefs and assets.
• Track pipeline influence, POC outcomes and improve demo effectiveness.

Skills

Pre-sales experience

Technical consulting

Discovery/needs analysis

Problem solving

Communication

Solution design

Education

Bachelor's degree in Computer Science, MIS, Engineering or related field

Tools

REST APIs

JSON

SQL

Low-code tooling

Job description

M-Files is seeking a Sales Engineer who serves as the technical authority in the sales cycle, diagnosing customer problems, designing AI-driven metadata and automation solutions, and proving value through tailored demos and proofs of concept.

You will collaborate with Sales, Services, Product and Engineering to translate customer learnings into wins, while guiding deployments and ensuring responsible AI practices.