Top Remote Senior Level Jobs in Las Vegas, NV

Build and scale a third-party security technology ecosystem for the SimSpace Cyber Range. Source, license, and onboard security products (EDR/XDR, SIEM, SOAR, IAM, cloud/network/data security), drive integrations with Product and Engineering, negotiate licensing, enable partners, and progress vendor relationships into strategic co-selling and product partnerships.

As a Cyber Range Engineer, design and manage computer networks, configure security tools, and troubleshoot IT systems while collaborating with clients and teams.

Set vision and multi-year roadmap for Foundation and Network operational processes. Design, integrate, and continuously improve cross-functional processes and enabling systems; partner with senior leaders and IT to ensure alignment and adoption; lead change management, training, and governance; monitor process performance and drive data-informed improvements to increase efficiency, scalability, and effectiveness.

Manage a portfolio of public-sector customers as their strategic partner to drive adoption, engagement, and measurable outcomes. Lead business reviews, build executive and HR relationships, identify risks and expansion opportunities, advocate cross-functionally, and share customer feedback to improve products and experience. Navigate public-sector procurement and budget cycles.

Manage and evolve the Commercial Salesforce instance: configure Flows, validation rules, objects, and integrations (HubSpot, SalesLoft, LeanData, Slack); ensure data integrity and reporting; partner with Sales, Marketing, Product, and Finance to streamline GTM processes; provide user support, training, documentation, and drive a roadmap for scalable system solutions.

The Product Manager will optimize pet insurance products, drive growth through data insights, and collaborate across teams to enhance portfolio performance and profitability.

The Senior Data Engineer will design and scale cloud-based data platforms, ensuring quality and performance while collaborating with cross-functional teams to deliver actionable data solutions.

Own end-to-end payroll for the Americas, ensuring accurate semi-monthly and monthly runs, compliance with tax and wage laws, internal controls, ticket resolution, month-end accounting support, system integrations (Workday/ADP), process improvement, reporting, and mentoring payroll team members.

Design and develop AI capabilities and scalable microservices. Collaborate to integrate AI models and ensure performance in cloud environments.

Design, implement, and support SailPoint IdentityIQ solutions; lead application onboarding and migrations; develop/customize IIQ workflows, rules, and Java-based integrations; integrate with AD, LDAP, HR systems, databases, and enterprise apps; provide IAM architecture and technical leadership while collaborating with security and infrastructure teams.

Lead regional product, solutions, and go-to-market strategy for the Americas. Drive NPI readiness, sales enablement, partner ecosystem development, lifecycle management, GTM execution, and demand generation to accelerate adoption of Kornit's digital textile printing solutions.

Perform nationwide on-site MEP property condition assessments (HVAC, plumbing, electrical, fire protection, vertical transportation), document deficiencies per ASTM standards, prepare PCA reports, estimate remediation costs, lead single-assessor or team engagements, mentor junior staff, and travel up to 50%.

Lead and transform disputes and chargebacks operations by managing BPO partners, driving performance via data and tooling, ensuring regulatory compliance (Reg E/Reg Z), optimizing processes and QA, implementing technology/AI improvements, coaching teams, handling escalations, and collaborating with stakeholders to improve cardholder experience.

The Senior Data Engineer will maintain and improve data infrastructure, design ETL processes, and create high-performance pipelines for analytics and AI initiatives using SQL and Python in cloud environments.

Design, optimize, and deploy deep learning models for customer behavior prediction. Perform feature engineering, implement research-informed architectures, scale training pipelines, collaborate with client teams, document findings, and uphold engineering best practices.