MFour Data Research

HQ
Irvine
Total Offices: 2
98 Total Employees
Year Founded: 2011

MFour Data Research Offices

MFour Data Research is headquartered in Irvine and has 2 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week

U.S. Office Locations

HQ

Irvine

19800 MacArthur Blvd., Suite 700, Irvine, CA, United States, 92612

Kansas City

Kansas City - WeWork office

1100 Main St, Kansas City, Missouri, United States, 64105 2105

17 Days AgoSaved
In-Office or Remote
Irvine, CA, USA
Marketing Tech • Software
Own the full enterprise sales cycle from prospecting through closing, renewals, upsells, and cross-sells. Build pipelines, manage strategic accounts, conduct complex research scoping conversations, present AI and market research solutions, and maintain executive relationships across Fortune 500 and mid-market clients. Collaborate with Sales, Research, and Product teams, forecast accurately, meet targets, and travel up to 25%.
One Month AgoSaved
In-Office
Irvine, CA, USA
Marketing Tech • Software
Manage the end-to-end client experience for 20–30 data research accounts, from project kickoff through delivery and renewal. Coordinate panel, research, data science, and product teams to deliver projects on time and within budget. Drive adoption of MFour Studio and DANI, identify upsell opportunities, build client relationships, and present data-driven insights. The hybrid role requires quantitative research, large dataset analysis, questionnaire design, client communication, and SaaS/DaaS customer journey experience.
One Month AgoSaved
In-Office
Kansas City, MO, USA
Marketing Tech • Software
Design, build, and manage scalable batch and real-time data pipelines, databases, and processing systems. Develop and administer Databricks and Snowflake environments, optimize data architecture and distributed processing, manage PostgreSQL and MySQL databases, and implement governance, monitoring, alerting, and troubleshooting practices. Collaborate with analytics, engineering, and product teams to deliver reliable data solutions, document workflows, and promote modern data engineering practices.