Top Remote Senior Level Jobs in Las Vegas, NV

The Senior Clinical Research Associate manages site monitoring and relationships for clinical trials, ensuring compliance and patient safety according to GCP and regulations.

Own the Data Activation product roadmap end-to-end: define partner integration platform, API and integration architecture, and operational workflows. Partner with VP and cross-functional teams to translate strategy into requirements, run sprints in Jira, instrument launches, and support Customer Success and Sales to scale reliable audience activation across DSPs, SSPs, walled gardens, CTV, and retail media.

The Senior Sales Engineer leads technical sales, addresses client challenges, and serves as a subject matter expert in API integrations. They mentor peers, maintain customer relationships, and present technical concepts at executive meetings.

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.

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.

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 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.