Top Remote Jobs

Leads Navan’s North America Travel Services organization, overseeing customer support operations, service quality, workforce planning, cost efficiency, and team development. Drives scalable operating models, operational transformation, AI and automation adoption, technology partnerships, and data-informed improvements. Partners cross-functionally to enhance enterprise traveler experiences, manage vendors, and ensure operational readiness during travel disruptions. Requires extensive senior leadership experience in large-scale contact center or service operations, preferably within corporate travel, airlines, travel management, or travel technology.

Staff Data Engineer responsible for setting technical direction, architecting scalable data platforms, leading cross-functional initiatives, improving reliability and performance, and enabling AI-assisted analytics and development. The role includes hands-on development with Python, SQL, cloud data warehouses, orchestration, infrastructure as code, Kubernetes, Kafka, and streaming pipelines, along with mentoring, technical advocacy, documentation, code reviews, and on-call troubleshooting.

Lead enterprise implementations of TigerConnect healthcare software from initiation through closure. Responsibilities include software configuration, stakeholder and resource management, risk and budget oversight, organizational change management, user training, executive reporting, customer onboarding, quality assurance, and process improvement. Collaborate with product, engineering, solution design, and clinical teams while ensuring projects meet scope, schedule, budget, customer value, and ROI objectives.

Support the full employee lifecycle across a distributed workforce, including employee questions, onboarding and offboarding, leave administration, HRIS updates, compliance reporting, and recurring workflow ownership. Handle sensitive information confidentially, resolve People Operations requests, and partner with Talent, Finance, and Clinical teams. Over time, the role may expand into policy creation, performance review cycles, company events, and immigration support.

Own the CRM lifecycle strategy and campaign calendar across email, push, SMS, and in-app channels. Build personalized automated and ad-hoc campaigns, manage segmentation and testing, troubleshoot deployments, analyze performance, and present insights to stakeholders. Partner with Product, Design, Engineering, Data, and Brand to improve engagement, retention, onboarding, and reactivation.

Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.

Own full-cycle, net-new enterprise sales for the MapQuest mapping platform. Build outbound pipeline across targeted verticals, sell location APIs and SDKs to technical executives, manage technical evaluations and proofs of concept, negotiate enterprise contracts, and close multi-year deals. Partner with Solutions Architecture, procurement, product, and company leadership while providing market feedback. This is a remote individual-contributor role with prospect and event travel.

Leads the Launch and Sandboxes engineering team building cloud execution environments, job submission services, compute orchestration, and HPC integrations. Owns roadmap delivery, architecture, reliability, technical debt, customer outcomes, and cross-team coordination. Develops engineers into autonomous leaders while maintaining technical fluency in Go, Python, Kubernetes, distributed systems, authentication, and billing infrastructure.

Architect and develop production-grade GenAI systems, including LLM-powered agents, RAG pipelines, tool integrations, multi-agent coordination, memory systems, and chatbot experiences. Lead AI productization across engineering, product, and research teams; establish architecture, infrastructure, observability, coding standards, and delivery practices. Mentor engineers, guide technical roadmaps, and ensure scalable end-to-end deployment across frontend, backend, and ML components.

Own Tier 1 customer support issues from investigation through resolution in a high-volume queue. Triage and escalate tickets, coordinate with labs and service providers to resolve patient-data and lab-order issues, communicate empathetically across written and verbal channels, collaborate with product, engineering, operations, and customer success, and document solutions in the knowledge base.