Top Tech Jobs & Startup Jobs in San Diego, CA

The Senior Clinical & Bioinformatics Expert at Particle Health will collaborate with internal teams to enhance clinical products, engage with customers to bring in clinical expertise, and serve as a subject matter expert on disease processes and workflows.

The Global Brand Optimization & Insights Manager will support brand marketing initiatives by coordinating tests and campaigns across regions. They will analyze brand investments and performance metrics, collaborate with various stakeholders, and maintain forecasting models to provide insights-driven recommendations for improving brand marketing strategies.

The Enterprise Sales Account Executive will manage full life-cycle sales in a designated territory of enterprise accounts, establishing trust with stakeholders across various roles. Responsibilities include achieving sales quotas, educating customers, collaborating with multiple functions, and continuously implementing the sales methodology.

The Experience Banker provides remote support via phone and online chat for various banking services. Responsibilities include assisting customers with online banking issues, processing account changes, verifying online enrollments, answering inquiries, and supporting the Experience Banking Manager.

The Full Stack Engineer will focus on building applications and utilities to enhance operational efficiency and feature adoption for customers. Responsibilities include developing tools using Salesforce Metadata API and Java, automating service tasks, collaborating with product teams, and providing technical expertise. The role requires a proactive approach to identify inefficiencies and tailor solutions for improved service delivery.

The Alchemy Analyst will contribute to blockchain initiatives through research, product, and marketing tasks. Responsibilities include content distribution, user research, and educating developers on web3 topics.

As a Senior Data Scientist at Monte Carlo, you will lead the development of production-grade ML algorithms, manage ML projects from concept to deployment, and solve complex problems related to anomaly detection and prediction in a fast-paced startup environment.