Top Remote Jobs

Manage a portfolio of clients as a strategic advisor, driving retention, renewals, expansion, platform adoption, and revenue growth. Develop data-driven email, SMS, lifecycle, and omnichannel marketing strategies; lead QBRs; coordinate cross-functional delivery; educate clients on platform capabilities; and oversee billing, budgeting, forecasting, and issue resolution.

Develop and execute regional sales strategy and revenue plans; lead cross-functional initiatives, planning, and project management; analyze market, client, and performance data; manage KPI reporting and presentations; and translate complex analyses into recommendations for leadership. The role also supports quota setting, incentive processes, CRM data analysis, and process improvements using AI tools.

Design, build, and operate high-performance Kdb+/Q platforms for real-time and historical market data, partnering with traders and researchers to deliver scalable time-series analytics, streaming, and trading solutions while driving architecture, automation, and operational excellence.

Design, deploy, optimize, and scale production AI and agentic workloads on DigitalOcean’s cloud. Build inference benchmarks, automation tooling, deployment frameworks, operational playbooks, and reference architectures. Validate AI platform capabilities, optimize distributed inference and GPU performance, support customer migrations, and collaborate with product, research, infrastructure, GPU, model, and ecosystem partners. Enable technical teams and strategic customers while influencing platform roadmaps and accelerating production adoption.

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.