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MetLife

HQ
New York
Total Offices: 7
43,000 Total Employees
Year Founded: 1868
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MetLife Offices

MetLife is headquartered in New York and has 7 office locations.

Hybrid Workplace

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

MetLife's current workplace policies classify roles as Office, Hybrid or Virtual based on the nature of work, encouraging new ways of working together

Typical time on-site: Flexible

U.S. Office Locations

HQ New York Bridgewater Cary Clarks Summit Greenville Tampa Whippany
HQ
New York

New York City, NY

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200 Park Ave, New York, NY, United States, 10166

Bridgewater

Bridgewater, NJ

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501 Route 22, Bridgewater, NJ, United States, 08807

Cary

Cary, NC

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201 MetLife Way, Cary, NC, United States, 27513

Clarks Summit

Clark Summit, PA

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1028 Morgan Highway, Clarks Summit, PA, United States, 18411

Greenville

Greenville, SC

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651 Brookfield Parkway, Greenville, SC, United States, 29607

Tampa

Tampa, FL

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18210 Crane Nest Drive, Tampa, FL, United States, 33647

Whippany

Whippany, NJ

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One MetLife Way, Whippany, NJ, United States, 07981

Recently posted jobs

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MetLife

PlanSmart Data Analyst

8 Days AgoSaved
Hybrid
Charlotte, NC, USA
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Support a book of business by validating, transforming, and reconciling data, managing daily processing and file audits, generating reporting outputs for outreach, creating file configuration specs, resolving discrepancies with stakeholders, and driving process improvements to ensure regulatory compliance and operational efficiency.
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The role involves business development and asset origination in agribusiness lending, managing relationships and loan structuring, as well as collaborating with credit analysts and loan closing teams.
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MetLife

Product Manager Production Support

YesterdaySaved
Remote or Hybrid
United States
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Own production health and performance for AI-enabled claims products across Disability & Leave. Monitor SLAs and UX, lead incident triage and RCA, prioritize fixes with engineering and operations, drive systemic improvements, and oversee FINEOS/Catalyst integration and optimization.
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