Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Senior Oracle Architect will define technical architecture, lead design and implementation of solutions, mentor teams, and ensure compliance with standards.

The Account Executive will develop sales strategies, conduct cold outreach, present solutions, collaborate with teams, manage pipelines, and engage with the industry to drive new business.

Create engaging content for Instagram and TikTok that showcases UGLYCASH's storytelling and behind-the-scenes moments, working closely with the founder.

The Global Key Account Manager will drive revenue growth by managing relationships with strategic accounts, ensuring customer satisfaction, and leading account planning cycles. Responsibilities include developing account plans, facilitating collaboration, and championing customer needs within the organization.

Lead technical delivery for enterprise clients, develop engineering teams, shape AI strategy, and make key architecture decisions.

Responsible for providing systems engineering expertise for Space Systems Command. Activities include lifecycle management, risk management, and system integration among others.

The Account Director will lead client relationships, manage teams, develop marketing strategies, oversee project finances, and drive account growth while ensuring high-quality deliverables and client satisfaction.

The Principal Product Manager will define and build the HTS API Marketplace, coordinating with teams to develop coherent, enterprise-grade API products, manage commercial models, and establish the go-to-market strategy while utilizing AI for rapid prototyping.

The Principal Product Manager will define, build, and commercialize the HTS API Marketplace, coordinating across teams and managing the revenue model while utilizing AI tools for rapid prototyping.

Lead end-to-end development, sourcing, and production of trading card products and collectibles. Manage vendor selection, negotiate terms, set product specs, oversee manufacturing schedules, QA, inventory forecasting, cost targets, and cross-functional launches. Monitor market trends, resolve quality or supply issues, and report performance to senior leadership.

The Head of Quality, AI Data Operations oversees quality assurance for training data and model evaluation, ensuring high standards and collaborating with teams and customers for AI projects.