New York Life

HQ
New York
Total Offices: 5
12,000 Total Employees
Year Founded: 1845

Jobs at New York Life

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Recently posted jobs

Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads onsite service relationships for a New York Life general office, serving as liaison among agency managers, recruiters, agents, and service teams. Resolves escalations, oversees onsite specialists, supports sales initiatives, trains users on AI and digital tools, coordinates engagement events, drives adoption, manages office operations, and oversees financial processes.
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Provides onsite administrative and operational support for a New York Life general office. Responsibilities include assisting management, serving agents and visitors, handling phone inquiries, coordinating payments and expenses, managing mail, supporting facility needs, assigning resources for new agents, and organizing meetings and reports. The role requires strong communication, organization, customer service, Microsoft Office proficiency, and proactive problem-solving.
One Month AgoSaved
In-Office
Waltham, MA, USA
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Recruit, interview, onboard, train, and coach insurance sales agents; develop individualized production plans; monitor agent performance and retention; support underwriting and suitability processes; deliver client servicing and claims assistance; conduct field demonstrations and training classes; collaborate with office management on strategic goals.
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
This role involves owning the security architecture for AI platforms on GCP, designing guardrails, and integrating security into CI/CD pipelines. Candidates should have extensive experience in cloud security, specifically with GCP services, Kubernetes security, and AI/ML security practices.