Top Remote Jobs in CO

Own end-to-end sourcing and procurement activities, including RFx processes, spend analysis, benchmarking, bid evaluations, and vendor recommendations. Manage Claims vendor relationships, performance scorecards, stewardship meetings, escalations, onboarding documentation, contract compliance, and billing reviews. Support negotiations, cost optimization, audit coordination, and defense counsel panel oversight while producing accurate, leadership-ready outputs independently.

Own the full-cycle commercial B2B SaaS sales process, from prospecting and pipeline generation through closing new business. Build territory and account strategies, conduct consultative discovery, deliver tailored software demonstrations, manage qualification and forecasting, and engage executive stakeholders. The role requires quota attainment, self-sourced pipeline generation, strong communication, and experience selling in startup or growth-stage environments. Familiarity with MEDDPICC, MEDDICC, SPICED, or similar sales methodologies is preferred.

Leads complex, cross-functional Customer Success programs from strategy through execution and operational adoption. Establishes governance, charters, metrics, milestones, accountability, and risk management across Professional Services, Technical Success, and Support. Uses data-driven analysis to assess program health, guide course corrections, and provide executive-ready reporting. The role also supports AI-driven solutions and enterprise software implementation in a remote Customer Success PMO environment.

Serve as a strategic finance partner to Product leadership, building financial models, forecasts, business cases, and scenario analyses for growth initiatives, pricing, investments, and resource allocation. Analyze SaaS metrics such as ARR, retention, churn, and unit economics, translating complex data into recommendations for senior leaders. Collaborate across Product, Finance, Data Science, and Marketing while improving analysis through automation, standardized processes, and AI-enabled workflows.

Lead and grow an enterprise sales team selling AI-powered SaaS underwriting and analytics solutions to health insurance and benefits organizations. Responsibilities include recruiting, coaching, forecasting, quota attainment, pipeline management, strategic deal support, onboarding, performance improvement, and leadership reporting. The role partners with Marketing, Product, and Customer Success to shape demand generation and messaging while driving consultative sales methodology across the team.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

Develop and maintain production machine learning models, build scalable training and serving technologies, optimize real-time and batch ML pipelines, and monitor model performance and drift. The role involves deep neural networks, recommendation systems, automated retraining, ML research, engineering excellence, and communicating technical concepts to diverse audiences. Candidates need 6+ years of industry ML experience, strong coding skills, and experience deploying neural networks at scale.

Lead the Performance and Quality Frameworks team, owning scalable performance engineering platforms and shared functional testing frameworks. Drive architecture, reliability, adoption, documentation, self-service, and roadmap execution across product teams. Apply AI tools such as Cursor and Claude Code to improve test development, maintenance, analysis, and engineering efficiency. Partner with cross-functional stakeholders, mentor engineers, measure framework outcomes, and support highly distributed SaaS systems using cloud, microservices, containers, and CI/CD technologies.

Lead the technical roadmap for partner integrations across APIs, SDKs, and web experiences. Design and build scalable products, standardize external partner integrations, and deliver payment and data-sharing capabilities. Collaborate with Engineering, Product, Design, Infrastructure, Sales, Partner, and Customer Success teams while remaining hands-on. Drive architecture, code quality, delivery, stakeholder alignment, and technical strategy for high-impact fintech products.

Leads the strategy, architecture, implementation, and evolution of enterprise analytics platforms. Responsibilities include designing scalable data platforms, integrating digital and enterprise data, establishing governance and security standards, optimizing analytics and BI capabilities, evaluating cloud technologies, managing platform performance and risks, and mentoring technical teams. The role also requires close collaboration with executives, clients, Product, Engineering, Data Science, Marketing, and business stakeholders.