Top Tech Jobs & Startup Jobs in Las Vegas, NV

As a Staff Quant Strategist Engineer, you will model and validate Aave's products' economics, design new protocol mechanisms, and contribute to growth-side decisions using quantitative insights.

The Sales Engineer will partner with the sales team to understand customer needs, demonstrate platform value, and ensure successful deployments while providing technical expertise and support.

The Enterprise Partnerships Lead will drive institutional adoption of prediction market infrastructure by managing strategic enterprise relationships and navigating technical and regulatory conversations.

As a Senior Program Manager, you'll lead enterprise-level programs, drive transformation initiatives, mentor peers, and ensure effective program delivery across teams.

The Principal Technical Product Manager, AI Enablement will drive AI integration in operations, enhance productivity through tools and workflows, and ensure tools meet compliance requirements while collaborating with various teams to achieve measurable outcomes.

As a Product Manager, you will lead enterprise SaaS implementations, manage customer onboarding, and optimize mortgage workflows to enhance client success and platform adoption.

The Business Development Representative generates leads through inbound and outbound prospecting, engages prospects via phone and email, maintains CRM data, and represents the company at conferences.

The AI Transformation Lead will define and implement AI solutions across the enterprise, partnering with leaders to enhance productivity and decision-making.

The Marketing & Brand Manager is responsible for developing and executing the marketing strategy to increase brand awareness and drive demand in North America, analyzing market dynamics, managing events, and collaborating with cross-functional teams to align marketing with revenue goals.

The Staff SW Engineer, Machine Learning will design, implement, and research machine learning solutions for satellite imagery analytics, focusing on computer vision and integrating with remote ML systems.