Top Remote Senior Level Jobs in Miami, FL

Design, build, and maintain low-latency, highly available RESTful cloud services and frameworks for GeForce NOW. Develop scalable SaaS/PaaS systems, guide technology direction, collaborate on product features, optimize performance, automate operations, and document software. The role requires extensive Go or Java experience, cloud architecture expertise, Infrastructure as Code, CI/CD, AWS services, and experience delivering internet-scale systems.

Manage the success and growth of Infinitum’s OEM accounts by driving HVAC motor design wins, building executive relationships, and executing strategic account plans. Lead technical and commercial discussions, coordinate with engineering, marketing, business development, and regional sales teams, and support sales representative organizations. Monitor market trends, represent the company at industry events, maintain CRM forecasts, and develop recurring design-in opportunities across complex OEM ecosystems.

Leads partner success for a regional portfolio of health plan clients, driving retention, satisfaction, contractual performance, account expansion, and scalable growth. Develops strategic account plans, manages partner relationships and escalations, oversees reporting and operating committees, identifies growth opportunities, and represents client needs internally. Builds scalable team processes and may supervise partner success staff. Requires healthcare ecosystem expertise, particularly value-based care and Medicaid health plans, plus 20–30% travel.

Own lifecycle marketing across SafetyWing's products, primarily via email. Design onboarding journeys, automations, segmentation, and recurring campaigns in HubSpot. Maintain CRM health, analyze campaign performance, collaborate with Product, Design, and Copywriting, and establish lifecycle marketing as a function to improve retention and customer value.

Founding engineer responsible for architecting and building core product systems, writing scalable Python backend code, designing and maintaining AI/ML infrastructure, instituting best development practices (testing, CI/CD), collaborating on product roadmap, and mentoring future engineers.

Drives technical engagement and enablement across partner channels for a cybersecurity and enterprise networking platform. Supports Channel Account Managers, trains partner sales engineers, delivers demos and technical sessions, leads roadshows, develops partner relationships, researches competitors, supports joint solutions, tracks deal metrics, and contributes technical credibility throughout partner sales cycles. The role requires collaboration with sales, marketing, product, vendors, and partners, with travel up to 50%.

Develop end-to-end low-level software features using C++ or C within Chromium and large-scale, real-time, cross-platform systems. Research enterprise security and productivity solutions, collaborate with product, web, security, and field engineering teams, and address customer challenges. The role requires expertise in systems internals, low-level design, and development across Windows, macOS, and Linux. Preferred experience includes network protocols, web security concepts, sandboxing, certificate handling, and Chromium or browser extension development.

Serve as the technical advisor for enterprise customers, guiding onboarding, deployment, configuration, troubleshooting, escalations, training, feature adoption, and operational maturity. Partner with Product, Engineering, Support, and Customer Success teams to resolve issues, communicate releases, optimize customer environments, and provide feedback influencing the product roadmap.

Own end-to-end deployment of a voice AI platform for health system and digital health customers. Lead implementation projects from contract through go-live, configure use cases, coordinate clinical, operational, IT, and EHR teams, validate patient data integrations, document workflows, and build scalable onboarding playbooks. Travel 25–40% to client sites for deployments, stakeholder meetings, workflow mapping, and go-live support.

Own end-to-end deployment of a voice AI platform for health plan customers, from contract signature through go-live. Lead implementation timelines, configure dialers and agent workflows, coordinate member data onboarding, validate data quality, and align population health, care management, clinical, IT, and vendor teams. Create implementation charters, playbooks, checklists, and reusable templates, establish scalable onboarding processes, and hand off fully documented deployments to Customer Success. Travel 25–40% to client sites and periodically to headquarters.

Lead design, deployment, and operation of Caldera's blockchain infrastructure. Build and expand DevOps pipelines, manage Kubernetes/AWS deployments, implement IaC (Terraform/Helm), enhance observability, optimize performance, and maintain infrastructure security for production rollup chains.

Lead and execute end-to-end growth marketing: design multi-channel acquisition campaigns, own funnel KPIs, collaborate with Product/Engineering/Sales, develop brand and positioning, analyze metrics, and run experiments to scale user acquisition, engagement, and retention.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Build and own conversational voice AI products end-to-end: architect, implement, and deploy the platform. Design infrastructure, develop front-end and back-end systems, deliver reliable customer outcomes, and collaborate directly with the CTO to scale the product for enterprise customers.

Design, build, and operate production AI and agentic systems for document intelligence, workflow automation, and copilots. Own LLM architecture, retrieval, tool use, orchestration, memory, evaluations, observability, cost, and latency. Partner with product and data engineering, evaluate vendors and models, mentor engineers, and ensure reliable production performance. Ship end-to-end improvements while communicating technical tradeoffs to product and leadership.

Own the AI product strategy and roadmap across document intelligence, workflow automation, and data-driven decisioning. Manage and mentor AI and data engineers, embed AI capabilities into the mortgage point-of-sale platform, evaluate vendors and models, and coordinate cross-functional delivery. Ship AI products from concept through production while balancing cost, quality, speed, and regulatory considerations. Establish feature prioritization processes, define product specifications, communicate tradeoffs to executives, and ensure AI systems are reliable, measurable, and aligned with customer needs.