Top Tech Jobs & Startup Jobs in Las Vegas, NV

The Senior Search Engineer will focus on improving the search system for Vannevar's product, collaborating with engineers to leverage full-text search and emerging technologies, and enhancing user experience by improving search latency and relevance.

Drive new business growth across financial institutions, managing enterprise sales cycles, building relationships with decision-makers, and representing Addition Wealth at industry events.

Drive revenue for Garner's fully- and self-insured products in the 500–5,000 life segment. Expand and manage broker, consultant, general agent, and employer partnerships; build sales and partnership pipeline infrastructure; collaborate with market teammates to support in-market activities and broker relationships. Remote role with occasional travel to HQ.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

Lead Engineer responsible for end-to-end feature design, development, testing, and delivery of a cloud-based healthcare platform. Work full stack from database to frontend, design scalable data services and APIs, mentor junior engineers, ensure testing and security best practices, and deploy to modern cloud infrastructure.

The Senior Data Engineer will design and build scalable ELT/ETL pipelines, improve data quality, and collaborate with teams to ensure accurate data delivery and operational excellence within Cedar's data platform.

Implement and optimize cross-channel marketing campaigns using Braze and data warehouse integrations. Build complex journey flows, dynamic templates (Liquid), audience segmentation, and QA campaigns. Collaborate with marketing and engineering to validate data, ensure compliance (SMS/email), and scale personalized lifecycle messaging.

Senior Solutions Engineers drive technical discussions, work on solution designs, and advise customers on best practices to implement Cloudflare products.

Lead GTM systems and applied AI for Revenue Operations: own non-Salesforce tech stack, drive GTM AI roadmap and COE, prototype and deploy AI workflows, govern data quality, optimize tooling, and manage a team of engineers and analysts.

Own and optimize the end-to-end marketing technology stack: roadmap, tool selection, implementations, integrations, documentation, governance, and performance metrics. Partner with IT, Sales Ops, Analytics, and Legal to ensure data flows, adoption, and ROI while supporting onboarding and ongoing optimization.