Top Tech Jobs & Startup Jobs

Manage and grow relationships with affluent consumer and business banking customers. Acquire new clients, deepen existing relationships, conduct discovery-based financial conversations, recommend banking and credit solutions, manage a book of business, coordinate referrals across wealth and lending teams, promote digital adoption, support branch colleagues, and maintain strong risk, compliance, documentation, and licensing standards.

Supports product planning, prioritization, testing, and delivery for CRM, Service360, workflow automation, and AI initiatives. Partners with business and technology teams to gather requirements, create user stories, manage backlogs, coordinate pilots and releases, improve customer journeys, and identify automation opportunities. The role also supports training, stakeholder communications, adoption tracking, and AI-enabled improvements to customer and broker servicing.

Manage the full B2B sales cycle for SaaS solutions, including outbound prospecting, account research, discovery, solution consulting, negotiation, and closing. Build pipeline, advise independent insurance agencies, manage territories, and consistently achieve sales quotas. The role requires strong consultative selling, communication, and CRM proficiency, with experience in quota-carrying sales and new business development.

Provides frontline technical support by diagnosing access, configuration, integration, API, EMR, and FTP issues. Performs basic troubleshooting, system checks, ticket documentation, escalation, and knowledge-base maintenance. Collaborates with Implementation, Customer Success, and Product teams to resolve client issues and maintain platform stability. The role requires clear technical communication, structured support workflows, and foundational knowledge of SQL, APIs, JSON, Unix/Linux, and Excel.

Develops production-ready Siemens NX parametric models and integrated engine designs. Responsibilities include packaging, clearance studies, structural load-path evaluation, NX analysis, GD&T, tolerance management, design for manufacturability and assembly, material and mass data control, design reviews, issue resolution, and on-time math releases. The role collaborates with engineering, manufacturing, suppliers, quality, plant, program, and service teams through the Global Vehicle Development Process.

Provides first-line IT support to NBCUniversal employees and partners through phone, chat, and tickets. Resolves technical issues, fulfills or triages requests, meets service-level targets, delivers strong customer service, and contributes to process improvements and operational projects. The role requires experience supporting Windows, macOS, Office 365, Active Directory, mobile devices, and ITIL-based service practices in a high-volume environment.

Provides administrative support for hotel department operations through word processing, data entry, filing, copying, telephone and email communication, correspondence management, guest interactions, travel booking, and special project assistance. The role is on-site and supports department managers while contributing to a positive hospitality experience.

Manage strategic relationships with existing enterprise and mid-market customers. Drive sales quotas, renew contracts, identify revenue opportunities, maintain customer satisfaction, resolve escalations, and sell Comcast Business services to executive stakeholders. Develop account strategies, manage forecasts and funnels, and collaborate with Sales, Finance, and Operations leadership to achieve revenue and retention objectives.

The Commercial Sales Engineer presents technical solutions, gathers customer requirements, leads product evaluations, configures solutions, and designs test plans for successful customer outcomes. The role requires cybersecurity and networking expertise, including TCP/IP, DNS, routing, VPNs, and firewalls, plus experience using AI tools and working with SMB or enterprise customers.

Research, prototype, build, and deploy predictive products using statistical analysis and machine learning. Analyze large financial datasets, formulate hypotheses, develop and evaluate models, productionize algorithms, write reliability tests, conduct peer reviews, and maintain expertise in machine learning, data analysis, MLOps, and agentic LLM systems.