Top Remote Jobs in CO

Design and scale data pipelines and ML/LLM systems, build agentic automation for pipeline generation and maintenance, improve data monitoring, and collaborate with analysts, product, and ML teams to deliver reliable end-to-end data and AI infrastructure for a high-growth e-commerce platform.

Support a portfolio of clients through technical implementation, onboarding, adoption, and growth. Define implementation plans, configure the Quantum Metric platform, develop JavaScript analytics functions, and create alerts, dashboards, and reports. Diagnose script issues using browser developer tools and advise clients on digital performance optimization. The role requires managing multiple client priorities, communicating with technical and non-technical stakeholders, and traveling approximately 10%.

Drive high-volume outbound outreach through phone, email, and LinkedIn to generate qualified meetings with care management leaders at health systems. Responsibilities include prospect qualification, contact-list development, CRM activity documentation, clean handoffs to the business development team, and collaboration on messaging and outreach strategy. The role also contributes insights on personas, objections, and conversion performance to improve the team's sales playbook.

Manage scaled customer success for complex mid-market accounts using Samsara’s IoT platform. Responsibilities include driving adoption, demonstrating technical product value, diagnosing issues, leading customer workshops, recommending workflow transformations, developing action plans and success metrics, coordinating cross-functional teams, influencing product roadmaps, and supporting renewals and expansion.

Own recruiting operations systems, processes, data quality, reporting, and enablement. Manage ATS and scheduling tools, design scalable workflows, improve automation with AI, oversee vendors, and partner with People Operations, Legal, and Finance. Build trusted dashboards, KPIs, audit-ready processes, and frictionless candidate and interviewer experiences while supporting recruiting growth and technology adoption.

Own strategic finance support for a functional business area, including operating and capacity models, forecasts, budgets, long-range plans, variance analysis, vendor and expense reviews, monthly business reviews, and decision support. Partner directly with functional leaders, automate recurring work, and provide actionable analysis for headcount, spending, and investment decisions.

Develop and maintain backend services for OppFi’s financial technology platform. Responsibilities include building Java applications and services, collaborating in an Agile environment, conducting code reviews and testing, documenting best practices, and refining technical requirements into production-ready solutions. The role uses AWS, Docker, PostgreSQL, APIs, and related cloud-native technologies.

Lead design and delivery of full-stack basketball scoring, statistics, and postgame features. Build scalable backend services and APIs with TypeScript and Node.js, develop React web experiences, support iOS and Android products, and make architectural decisions. Collaborate across product, design, and engineering teams, ensure code quality and system reliability, mentor peers, and contribute to technical standards and tools.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Build and deploy AI-native products that transform large-scale geospatial data into actionable intelligence. Design multi-agent workflows, integrate frontier LLMs, engineer tool-using agents, and develop data pipelines for anomaly detection and predictive analytics. Ensure secure, scalable cloud integrations and operate production AI systems using DevOps, containerization, orchestration, and CI/CD. Establish feedback and reinforcement mechanisms to improve model reliability while contributing to AI-first engineering standards and documentation.