M-Files

HQ
Austin
Total Offices: 9
500 Total Employees
160 Product + Tech Employees
Year Founded: 2002

M-Files Offices

M-Files is headquartered in Austin and has 9 office locations.

Remote Workplace

Employees work remotely.

Our U.S.-based roles are fully remote, giving M-Filers the freedom to work from wherever they feel most focused, creative, and balanced.


U.S. Office Locations

Global Office Locations

HQ

Austin

We are located in downtown Austin in the Google building across the street from Torchy's Tacos and next-door to North Italia and Flower Child.

HQ

Tampere

Peltokatu 34 C, Tampere, Finland, 33100

Bengaluru

Table Space Towers, 4th Floor, No. 23/2, Vittal Mallya Road, Bengaluru, India, 5600001

Fredericton

30 Knowledge Park Drive, Unit 100, Fredericton, New Brunswick , Canada, E3C R2R

Helsinki

Maistraatinportti 1, Helsinki, Finland, 00240

Lappeenranta

Valtakatu 49, Lappeenranta, Finland, 53100

Oslo

Karenslyst Alle 53, Oslo, Norway, 0279

Reims

18 rue Rene Cassin, Reims, France

Stockholm

Vasagatan 16, Stockholm, Sweden, 111 20

Recently posted jobs

2 Days AgoSaved
Remote
United States
Information Technology • Productivity • Professional Services • Software • Business Intelligence
Execute on-page SEO, content optimization, and AI/AEO initiatives across a large site. Monitor site health with SEO tools, perform content audits, fix basic technical issues, publish SEO content, and support marketing teams with keyword and competitor research to improve search and AI discoverability.
2 Days AgoSaved
In-Office or Remote
San Francisco, CA, USA
Information Technology • Productivity • Professional Services • Software • Business Intelligence
Lead product marketing for M-Files AI platform and cloud: define platform positioning and FedRAMP messaging, drive GTM launches and content, deliver competitive intelligence, enable sales and partners, and represent the company in events and analyst briefings to increase adoption and pipeline.
Information Technology • Productivity • Professional Services • Software • Business Intelligence
Lead and execute engineering operations transformation across product and engineering teams. Drive AI adoption, improve processes, embed measurable outcomes, build dashboards, coach leaders, ensure quality launches, and manage cross-functional change projects end-to-end.