Top Hybrid Jobs in Denver & Boulder, CO

Build and optimize digital customer journeys across the SaaS lifecycle, using customer behavior data, trigger logic, testing frameworks, and education content to improve retention, engagement, and expansion. The role independently executes strategy, analyzes metrics, and partners with Customer Success, Marketing, RevOps, Support, and Product teams. It requires experience with CRM platforms, SaaS sales and renewal cycles, cross-functional initiatives, and customer journey implementation across SMB through enterprise segments.

Own the full technical pre-sales cycle for enterprise SLED accounts, including discovery, demonstrations, architecture, proof of concept, and implementation support. Partner with sales, customer success, product, and onboarding teams to drive public-sector growth, support RFPs and RFIs, provide compliance insight, and influence product direction. Build reusable technical assets, playbooks, and scalable sales-engineering processes while representing the company at government and education events.

Oversee corporate accounting activities, support senior accounting leadership, improve accounting quality and delivery speed, document accounting conclusions, communicate complex topics to leadership, and implement technology-enabled process improvements that automate workflows, enhance data quality, strengthen controls, and scale the Accounting function.

Owns the government fleet bid process, including researching RFPs, preparing proposals, tracking awarded contracts, monitoring compliance, and automating bid reporting. Analyzes expenditures, incentives, budgets, and bid data while coordinating with Ford teams, dealers, distributors, and government procurement officials. Supports bid responses, pre-bid meetings, post-bid reviews, conferences, and stakeholder communications. Requires strong analytical, programming, reporting, communication, and project coordination skills.

Build and maintain reliable data pipelines, computed tables, and scalable data models using SparkSQL and PySpark. Integrate IoT, product, customer, external, unstructured, and ML-related data into a central data lake for analytics, causal inference, model training, and dashboards. Ensure high data quality and uptime while collaborating with data science, analytics, AI/ML, and engineering teams.

Develop and govern Cameo-based SysML models for space and missile defense systems. Lead requirements traceability, architecture, interfaces, verification and validation modeling, model integration, and digital thread development. Support systems engineering processes, DoD compliance, Agile model delivery, classified programs, subcontractor evaluation, customer engagements, and proposal activities. Integrate MBSE models with PLM and enterprise data systems while mentoring teams and driving MBSE adoption.

Own monthly, quarterly, and annual FP&A cycles, forecasting, long-term modeling, consolidated financial statements, opex budgeting, variance analysis, and executive and board reporting. Build accurate financial models, communicate insights, improve planning processes, and implement AI-enabled automation across finance workflows. Partner with business leaders, Accounting, People, and senior Finance executives while independently managing deliverables, quality control, and strategic analyses.

Own enterprise sales across Fortune 500 and Global 2000 accounts, including territory planning, executive prospecting, business-value discovery, competitive deal execution, forecasting, closing, expansion, and renewals. The role requires selling multi-product platforms, managing complex nine- to eighteen-month sales cycles, coordinating internal and customer stakeholders, and consistently meeting multimillion-dollar quotas.

Own strategy, renewals, expansion, and executive relationships for major enterprise bank and credit union accounts. Drive customer outcomes, retention, product adoption, and revenue growth while coaching Associate GMs. Partner with Product and Engineering to translate feedback into product requirements, use data to identify risks and opportunities, and manage high-level commercial and operational priorities.

Maintains and troubleshoots server, storage, networking, cabling, and power hardware across a large-scale production data center fleet. Writes Python automation scripts, reviews logs and alerts, performs diagnostics, supports deployments, builds hardware health dashboards, coordinates with DevOps, supply chain, and vendors, and assists with hardware evaluation and reliability improvements. Requires on-call availability and travel to data center sites.