Top Remote Jobs in Las Vegas, NV

Support health system and life sciences research partners using Helix’s clinico-genomic datasets, tools, and platforms. Serve as the primary data-support contact, lead onboarding and office hours, create user materials, coordinate internal technical support, gather feedback, and help refine solutions. Build clinical and genomic data-processing pipelines while collaborating with Engineering, Research, Bioinformatics, Product, Life Sciences, and Commercial teams.

Manage the full lifecycle of insurance carrier connections within Employee Navigator, including onboarding, maintenance, troubleshooting, testing, and Open Enrollment support. Collaborate with carriers, product, development, and client success teams to resolve integration issues and meet business requirements. Support clients and carriers, monitor data flows, and recommend process improvements. The role requires experience with benefits administration systems, SaaS integrations, APIs, EDI, JSON, XML, and cloud platforms.

Source and engage software founders across 25+ niche verticals through high-volume outbound outreach and long-term relationship building. Own a 2,000+ company pipeline, qualify acquisition targets, attend industry trade shows, conduct financial pre-diligence, support valuation analysis and LOI drafting, and quarterback deals through signed letters of intent.

Leads the client-facing delivery organization across implementation, professional services, and client education. Oversees complex multi-product launches, data conversions, partner performance, project scoping, capacity planning, budgets, and delivery standards. Serves as the senior escalation point for credit union clients, manages delivery risks and readiness gates, develops staff and client training, and reports delivery, revenue, utilization, and satisfaction metrics to leadership.

Remote Virtual Assistant responsible for outbound B2B cold calls to present services, identify collaboration opportunities, maintain CRM data and call logs, schedule meetings, and support internal team coordination and daily operations.

Own core publishing products including email templates, landing pages, forms, and newsletter sites. Identify opportunities, define product vision and strategy, prioritize work, partner with engineering and design, ship major initiatives, measure outcomes, and improve content creation experiences for hundreds of thousands of creators. The role requires strong product judgment, quantitative analysis, systems thinking, AI fluency, visual craft, autonomy, and cross-functional influence.

Own core publishing product surfaces including email editors, landing pages, forms, and newsletter sites. Identify opportunities, define product vision and strategy, prioritize initiatives, collaborate with engineering and design, ship high-quality features, and measure customer and business impact at scale. The role requires strong product judgment, quantitative analysis, systems thinking, AI fluency, cross-functional influence, and attention to visual craft.

Provides technical pre-sales support and enablement for cybersecurity channel partners. Responsibilities include product demonstrations, solution architecture, partner training, implementation troubleshooting, technical documentation, pipeline tracking, and collaboration with sales, product, development, and support teams. The role translates Censys’s Internet intelligence platform into business value, supports partner growth, gathers product feedback, and travels within the assigned region as needed.

Own execution of Censys’ Internet Map by defining coverage, enrichment, and data-quality priorities. Translate customer and business needs into detailed engineering requirements, acceptance criteria, schemas, and documentation. Coordinate scanning, DNS, data pipeline, and enrichment roadmaps across product and engineering teams. Track coverage and context quality, evaluate third-party data sources, manage delivery cadence, resolve cross-product priorities, and enable Sales, Marketing, Customer Success, and peer product teams with updates and technical materials.

Build and operate security research infrastructure, including static and dynamic malware analysis pipelines, YARA tooling, sandboxing environments, threat indicator enrichment, and graph-based intelligence systems. Develop ingestion pipelines connecting scan data with external threat feeds, ensure reliability and observability, and securely isolate malicious samples. Partner with threat researchers and detection engineers to create scalable production systems, while documenting architecture and operational procedures.

Develop and maintain scalable, low-maintenance software with a small team. Advise client teams on modern software development practices, apply test-driven development, and continue building technical skills through ongoing training and personal development.

Leads client discovery and instructional strategy, applying adult learning principles and ADDIE/SAM methodologies. Designs, develops, tests, and deploys eLearning, video, instructor-led, and job-aid content. Creates storyboards, scripts, prototypes, assessments, and production assets while managing revisions, timelines, scope, and stakeholder feedback. Uses Articulate tools, LMS/LXP platforms, SCORM, and video editing tools to deliver accessible, engaging learning experiences.

Manage a portfolio of existing B2B SaaS clients, owning renewals, retention, and account expansion. Conduct business reviews, monitor account health, identify churn risks, and close cross-sell and upsell opportunities. Build relationships with multiple stakeholders, maintain account and pipeline data in Salesforce, track revenue targets, collaborate with Customer Success, Support, Product, and Marketing, and communicate client feedback. The role serves associations, nonprofits, and membership organizations and requires strong consultative selling, organization, communication, and relationship-building skills.

Own the full post-sale customer journey for Virtual Agents, including onboarding, configuration, activation, adoption, optimization, retention, and ROI demonstration. Run tailored product demonstrations, monitor usage metrics, troubleshoot configuration and booking issues, triage support requests, and provide customer feedback to Product. Partner with GTM, marketing, and implementation teams to improve onboarding playbooks and feature adoption.

Design and deploy scalable, low-latency machine learning systems, including training, inference, and production infrastructure. Integrate LLMs and traditional or specialized models for NLP, speech, forecasting, and recommendations. Optimize real-time ML pipelines, implement MLOps and reinforcement-learning systems, and collaborate with engineering, product, infrastructure, data science, customers, and partners. The role requires strong Python development, cloud, microservices, messaging, serverless, database, testing, and deployment expertise.