Top Remote Jobs in CO

Build and maintain lead-to-order business systems across Salesforce and connected platforms. Design complex applications, declarative automation, Apex and Lightning solutions, integrations, APIs, data models, and security controls. Remediate technical debt, lead migrations and tool rollouts, manage testing and cutovers, and ensure production systems are observable, documented, and governed. Partner cross-functionally to translate business requirements into scalable solutions while supporting AI capabilities in go-to-market workflows.

Own regional Sales Operations infrastructure, including territory and quota planning, forecasting governance, pipeline inspection, CRM hygiene, executive reporting, and operational improvements. Partner with sales leadership, finance, compensation, systems, analytics, and enablement to improve coverage, forecast accuracy, workflow automation, and execution across multiple sales channels.

Leads enterprise sales and strategic customer relationships for RigUp’s downstream energy solutions. Responsibilities include prospecting, pipeline management, proposals, negotiations, onboarding, account growth, market development, and cross-functional coordination with Operations, Product, Marketing, and Leadership. The role requires deep downstream oil and gas expertise, C-suite relationship development, complex RFP ownership, frequent client travel, AI-enabled sales workflows, and mentorship of account team members.

Leads accounts receivable and invoicing operations by overseeing accuracy, compliance, workload prioritization, mentoring teammates, supporting onboarding, resolving workflow issues, tracking KPIs, and coordinating process improvement projects. Prepares and submits invoices, supports revenue checks and recognition alignment, and partners with Finance, Sales, Client Operations, and other stakeholders. Serves as an invoicing subject matter expert and helps improve automation, training, and operational efficiency.

Leads enterprise sales and strategic customer relationships across utilities, power distribution, infrastructure, and data centers. Develops new business, manages pipelines, leads proposals and onboarding, and partners with operations, product, marketing, and leadership teams. Advises customers on workforce, contractor, outage, maintenance, and project needs while shaping go-to-market strategies and scalable sector processes. Mentors account team members and provides market insights to improve offerings and growth.

Leads Learning, Content, and Quality teams within Shared Services. Owns the strategic vision, operating models, onboarding curriculum, train-the-trainer programs, knowledge bases, quality processes, performance metrics, and AI enablement strategy. The role develops high-performing teams, reduces frontline ramp time and turnover, creates closed-loop feedback systems, and aligns training outcomes with operational KPIs while scaling support operations.

Leads a global Deal Operations team responsible for exception quoting, case management, approval queues, service levels, and quarter-end execution. Drives cross-functional improvements across Sales, Finance, Renewals, IT, and CPQ, translating system complexity into recommendations, reducing manual work through process optimization and automation, and serving as the escalation point for complex quoting. Manages team performance, hiring, documentation, governance, and operational change.

Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.

Coordinates the end-to-end candidate experience across hiring processes, including interview scheduling, candidate communication, applicant tracking system updates, pipeline monitoring, offer contract preparation, and handoffs to People Operations. Partners with recruiters and hiring managers in a high-volume, remote environment while maintaining accurate records, improving workflows, protecting confidentiality, and representing GitLab’s values and culture.

Drives revenue growth by prospecting for new compliance customers, expanding existing accounts, and selling Skillsoft’s legal, ethics, safety, and OSHA compliance solutions. Responsibilities include outbound prospecting, pipeline development, consultative solution selling, executive engagement, cross-functional collaboration, upselling, negotiation, presentations, and deal closure. The role requires managing whitespace opportunities, reporting pipeline health, and consistently exceeding sales targets in a remote, matrixed environment.

Sell Zscaler cloud security solutions to commercial accounts in the Mountain West. Build C-suite relationships, develop long-term account strategies, collaborate cross-functionally, act as a trusted advisor, and use channel partnerships to drive net-new logo acquisition and meet sales targets.

Build and lead GC AI’s revenue operations function from the ground up. Develop go-to-market processes, hire and manage a high-performing team, select and implement operational technology, align Sales, Marketing, Product, Customer Success, and Partnerships, and optimize pipeline, forecasting, retention, deal velocity, win rates, and revenue performance through data-driven KPIs.

Build AI-augmented BI dashboards, semantic layers, and AI-ready metadata. Use AI-assisted tools to accelerate SQL and dashboard development, productionize ML outputs into BI, enforce data quality and governance, and present insights to business stakeholders including C-suite.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.