Top Remote Jobs in Reno, NV

Leads enterprise infrastructure strategy, operations, and staff for data centers, cloud platforms, servers, storage, virtualization, identity, Microsoft 365, monitoring, backup, and recovery. Oversees security, compliance, risk management, business continuity, incidents, vendors, licensing, projects, and service management. Develops roadmaps, standards, lifecycle plans, and investment recommendations while ensuring infrastructure is secure, reliable, scalable, documented, and cost-effective.

Manage strategic client relationships for digital marketing campaigns, providing updates, resolving issues, and offering guidance based on business goals and KPIs. Lead client budgets, forecasts, billing oversight, data analysis, reporting, and multi-channel strategy across SEM, SEO, CRO, social, shopping, and display. Collaborate with internal teams, educate clients, and apply industry expertise to drive measurable growth and client satisfaction.

Provides executive oversight across multiple specialty contracting projects, visiting job sites to address safety, productivity, and quality issues. The role supports project planning, performance metrics, client relationships, budgeting, documentation review, and operational execution. It collaborates with project managers, field teams, clients, and senior leadership to remove barriers, improve performance, and align field operations with company strategy. Regular job-site travel and hands-on field assessment are required.

Leads complex internal audit reviews across planning, fieldwork, and reporting. Responsibilities include evaluating internal controls, identifying and mitigating risks, ensuring regulatory compliance, drafting and presenting findings, managing audit staff, providing performance feedback, and serving as a subject matter expert. The role also supports risk intelligence, training, ad hoc projects, and senior leadership reporting.

Edit multi-cam reaction footage into fast-paced, retention-driven YouTube videos. Create strong 30-second hooks, kinetic typography, visual pop-ups, and high-quality sound design. Collaborate with lead editors, iterate on feedback, analyze retention data, maintain organized Premiere/After Effects projects, and optimize exports for YouTube.

The AI Product Manager is responsible for strategy and execution of AI solutions, managing product roadmaps, collaborating with teams, and improving AI performance through metrics and user feedback.

Administers multi-state health, welfare, retirement, and benefits programs while serving as the primary UKG HRIS administrator. Responsibilities include enrollments, leave-related benefits continuation, carrier reconciliation, open enrollment, 401(k) operations, HRIS transactions, integrations, reporting, compliance documentation, audits, employee support, and system testing. The role maintains data integrity, supports regulatory requirements, and trains HR partners and employees.

Own strategic customer relationships and guide large enterprise organizations through post-onboarding cloud security adoption. The role connects Wiz’s value to customer initiatives, drives product adoption and expansion, coordinates Sales, Support, Success, Product, Engineering, and customer teams, and advises stakeholders from technical teams to CISOs. Responsibilities include transformation project management, governance, training, business case and TCO analysis, tool consolidation, milestone definition, blocker removal, and ensuring secure workload migrations and successful Wiz implementation.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Develop production-grade multimodal AI systems for L3/L4 autonomous vehicles. Build sensor-fusion and spatiotemporal world models combining camera, LiDAR, radar, navigation, and vehicle-state data. Create multitask models for road understanding, occupancy, perception, prediction, and planning; develop scalable training and evaluation pipelines; investigate foundation-model approaches; optimize models for real-time NVIDIA hardware; and collaborate across AV engineering teams to deploy robust systems.