Top Tech Jobs & Startup Jobs

The Senior Director will originate, structure, and execute infrastructure debt transactions, manage investments, provide leadership, and develop client solutions in private capital markets across the Americas and APAC.

Sell and manage group benefits (life, disability, dental, vision, voluntary) in the Utah market. Build broker and client relationships, develop strategic sales plans, grow renewals and new business for 2,000–4,999 life groups, coordinate cross-functionally for implementation, and track pipeline and sales activity to meet territory goals.

Lead identification, design, development and deployment of automation/AI solutions using Microsoft Power Platform and RPA. Manage teams, mentor juniors, liaise with stakeholders, drive process improvement, capacity estimation, and delivery of automation initiatives across operations and enabling functions.

Support and operate MetLife's global PKI and key management: implement/manage SSL/SSH certificates, monitor and alert on PKI infrastructure, perform incident response and vulnerability management, document designs and DR plans, evaluate process improvements, define technical requirements, and communicate PKI security policy across global teams.

Early-career software engineer working on Python-based components for enterprise AI use cases. Support AI/ML workflows, RAG pipelines, embeddings, vector retrieval, and API integration. Collaborate with senior engineers on testing, debugging, documentation, deployment, and apply cloud and software engineering best practices under mentorship.

Provide phone and digital customer support for insurance policy, coverage, billing, and service inquiries. Use AI-guided tools and CRM systems to resolve complex issues, validate call summaries, document interactions, escalate as needed, and contribute to process improvements. Participate in paid training and ongoing development.

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.

Design, implement, and deploy production-ready AI/ML use cases using an enterprise AI platform and Azure AI services. Collaborate with product, architecture, and platform teams to build microservice-based solutions (LLMs, RAG, vector search). Ensure reliability, observability, and responsible AI standards; contribute to code, testing, documentation, and mentor junior engineers.

Early-career software engineer developing Python components for AI use cases. Support data preparation, model integration, RAG pipelines (LLMs, embeddings, vector retrieval), API consumption, testing, debugging, documentation, and deployment while learning cloud and software engineering best practices under senior mentorship.

Develop and integrate Python components for AI use cases, support data preparation, model integration, RAG pipelines, testing, debugging, documentation, and deployment while learning cloud and software engineering best practices under senior mentorship.