Top Tech Jobs & Startup Jobs in Los Angeles, CA

The Strategic Planning Manager drives strategic initiatives by aligning priorities, analyzing data, defining KPIs, evaluating competition, and preparing materials for executive presentations.

Manage customer adoption lifecycle, lead technical value-selling, drive delivery management, and consult on API architecture to ensure customer success.

Account Executives manage sales cycles to acquire new enterprise customers, focusing on identity verification solutions, and responsible for pipeline growth and revenue generation.

Lead technical roadmap and architecture for ML data infrastructure supporting petabyte-scale pipelines. Manage and mentor engineering team, design ingestion/transformation/serving systems, ensure data quality, lineage, governance, and collaborate with ML and infrastructure teams to deliver production-grade ML data pipelines and feature stores.

The Senior Software Engineer will design and develop backend systems and APIs, mentor other engineers, and resolve complex integration challenges in healthcare technology.

As a Technical Mentor at Udacity, you will provide personalized support through video calls, conduct technical deep-dive sessions, and host group Q&A sessions to assist learners in AI and related fields.

As a Product Manager, lead the strategy and execution of healthcare software products, conduct market research, define requirements, and collaborate across teams to ensure successful product delivery.

Own and manage client relationships, make architectural decisions, run discovery and stakeholder interviews, deliver software or automations, and contribute intellectual property back to the practice.

Lead end-to-end solution and enterprise architecture for Telecom BSS transformations, advising C-suite customers, defining target architectures, integration patterns, cloud-native and API-first designs, and driving delivery through production readiness, governance, and operational excellence across CRM, Billing, Charging, Order Management and related systems.

Lead design and training of large-scale transformer and hybrid foundation models across text and multimodal domains. Own architecture choices, diagnose large-scale training instabilities, optimize scaling tradeoffs (data, compute, model), design loss and alignment strategies, and execute distributed training (FSDP/ZeRO, tensor/pipeline parallelism) with mixed precision to build in-house foundation model expertise.