Top Remote Senior Level Jobs in Las Vegas, NV

Lead end-to-end product lifecycle for internal and commercial software products, drive product strategy and commercialization, collaborate with cross-functional teams, apply Agile methods, coach teams, validate client outcomes, and execute roadmaps and go-to-market plans.

Lead alliance and partner marketing strategy for Salesforce, driving revenue growth, brand visibility, and channel performance. Develop channel strategies, manage partner relationships, use market research and analytics, mentor teams, and promote innovative digital marketing initiatives to capture business opportunities and enhance customer experience.

Lead strategic sales and marketing and develop thought leadership to drive revenue and brand visibility. Create industry perspectives, design and run survey research, use market research and digital marketing to capture opportunities, manage content quality and campaigns, oversee multiple projects and executive relationships, and mentor emerging leaders.

Lead Gusto's social and influencer marketing strategy, oversee team expansion, and drive brand engagement through innovative campaigns and AI integration.

Lead and scale a global Customer Support organisation from Singapore: define strategy, 24/7 operating model, SLAs, analytics (CSAT/NPS), QA, tech stack, deflection/self-service, cross-functional incident leadership, and vendor/BPO management to improve customer health, retention and cost-to-serve.

Lead end-to-end biweekly U.S. payroll for salaried and hourly employees (including equity/RSUs); compile and validate payroll inputs; resolve payroll inquiries in Jira; reconcile timecards; partner with HR/Finance/Legal on employee changes; and identify automation and process improvements.

Lead backend and full-stack work on the Payments team, building multi-gateway integrations (Stripe, PayPal), payment APIs, and customer payment UIs. Ensure secure, compliant (PCI-DSS) payment flows, reliability, observability, and scalability across AWS/Kubernetes microservices. Partner cross-functionally to design architecture, implement settlement/reconciliation, and maintain high availability.

Lead design and implementation of the PSA Liquidity Platform connecting buyers and sellers. Build buyer tooling, matching/ranking engines, and seller experiences. Architect and operate microservices and Kafka-driven systems on Kubernetes/AWS, instrument observability, apply AI tooling across the SDLC, and drive cross-functional delivery from 0-to-1 while owning end-to-end outcomes.

Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.

Partner with Product Directors to deliver reporting, analysis, and market-ready insights for Dental and Vision. Provide rapid support to Sales, brokers, and account teams, analyze network and plan design, identify risks and optimization opportunities, and produce external-ready materials and recommendations for regional market execution.

Own and define IAM strategy for corporate and production environments. Migrate Okta to Terraform, design least-privilege access, automate provisioning/deprovisioning and access reviews, build/manage MDM/MAM tooling, partner with platform and engineering teams, and serve as the IAM subject matter expert across Security, IT, and Engineering.

Lead a Reliability Platform Engineering team to build operational intelligence, observability, and AI-driven tooling that improves production availability, resiliency, and operational governance. Partner with Platform, SRE, Infrastructure, and Product teams to define reliability standards, prioritize investments, and deliver scalable reliability and automation solutions.

Build and maintain scalable, secure data pipelines and platforms to enable AI-driven analytics. Partner with analytics, product, and marketing to translate requirements, deploy production systems, implement data governance and access controls, and support AI applications at scale.