Top Hybrid Senior Level Jobs in CO

Lead end-to-end delivery of AI and ML services within Managed Services. Manage project planning, budgeting, execution, and quality. Mentor and develop team members, cultivate client relationships, implement model monitoring and operationalization practices, and collaborate with architects and engineers to ensure compliant, reusable AI solutions.

Lead strategy engagements for payor and provider clients: analyze market and clinical data, develop growth and cost-management strategies, manage projects and teams, mentor staff, and advise executive leadership on population health, clinical analytics, and Medicare Stars-related programs.

Lead tax strategy and client engagements for financial services real estate clients, advising on international and domestic tax structuring, compliance, risk mitigation, and profit-sharing. Drive business development, oversee multiple projects, mentor teams, ensure regulatory filings accuracy, and build scalable efficiencies while maintaining executive client relationships and ethical standards.

Serve as primary GM service support contact for high-volume fleet customers, resolving service issues, minimizing vehicle downtime, administering warranty agreements, supporting dealers and field sales, providing on-site technical support for complex issues, and partnering with internal stakeholders to maintain customer satisfaction and support sales.

Territory-focused sales leader responsible for dealer network performance: develop and execute district business plans to grow retail sales, market share and revenue; coach dealers on forecasting, ordering and customer experience; drive CSI improvements and digital retail initiatives; support marketing, compliance and dealer profitability; travel frequently to support and audit dealers.

Design, deploy, and maintain on-premises and cloud playout infrastructure for IP video distribution. Build automation, CI/CD pipelines, monitoring, and scalable fault-tolerant systems. Drive releases, troubleshoot broadcast incidents, mentor SREs, and provide 24/7 on-call support.

Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design scalable core platform services, collaborate with ML, frontend, and product teams, implement infrastructure-as-code and CI/CD, and mentor junior engineers to deliver reliable, AI-powered features.

Lead demand generation programs for Superhuman Mail, collaborating with Sales and other teams to drive marketing-sourced pipeline growth through integrated campaigns, optimization, and performance analysis.

Lead second-line credit risk oversight across unsecured, secured, and commercial lending. Perform credit and behavioral analytics, monitor roll rates/delinquency, evaluate KPIs/KRIs, build data visualizations, advise on policy effectiveness, and support regulatory readiness and risk management frameworks.

Lead finance systems architecture and transformation initiatives: design finance technology roadmap, architect Workday integrations, implement reconciliation and close automation, evaluate finance tools, drive RPA/AI automation, coordinate cross-functional stakeholders, support month-end close and M&A system integrations, and maintain system documentation.

Lead second-line oversight of small business credit risk through advanced analytics, monitoring KPIs/KRIs, roll rates, delinquency, and credit loss trends. Evaluate and optimize portfolio management policies, ensure regulatory readiness and adherence to risk appetite, provide data-driven challenge to first line, and communicate findings to management.

Design, build, and operate Jellyfish's Databricks Lakehouse and data/AI platform. Build ingestion, transformation, and delivery pipelines; govern data with Unity Catalog; enable BI, agentic analytics, metadata, lineage, and observability. Provide technical leadership, set architecture and standards, mentor peers, and collaborate with cross-functional stakeholders to make Databricks the foundation for analytics and AI.

Own post-sales technical relationship for Enterprise customers: troubleshoot and escalate issues, provide architectural governance against best practices, identify security/performance risks, run quarterly reviews, drive roadmap alignment with Product/Engineering, deploy proactive drift-detection and incident management, and use AI tools to streamline diagnostics and documentation. Travel up to 25% and provide weekend and escalation support.

Drive sales to State and Local (SLED) public sector customers in Northern California. Build and execute territory/account plans, manage complex sales cycles and contract negotiations, maintain pipeline, and develop long-term strategic relationships to achieve revenue targets for Cloudflare services.

Drive new business acquisition, renewals, and expansion for Commercial accounts. Build and manage territory and pipeline, lead consultative technical-sales conversations, forecast and negotiate contracts, multi-thread into C-suite, and collaborate cross-functionally to ensure adoption, retention, and growth of Cloudflare solutions.

Hunter-style senior SaaS sales role to build and own a pipeline for a new workers' compensation predictive analytics product. Lead full sales cycle—discovery, demos, proposals, closing—selling into carriers, TPAs, brokers, MGAs, and self-insured employers. Partner with product and customer success, provide market feedback, and exceed annual sales targets.

As Sr. Manager of Services Partners at Samsara, you will recruit and manage services partners while developing strategic initiatives and improving operational efficiency across the partner network.

The role involves managing relationships with public sector clients, ensuring successful deployment and adoption of IoT solutions, and fostering customer success throughout the lifecycle of their investment.

Own product vision, strategy, and roadmap for fleet cost and energy optimization. Translate telematics and operational data into customer-facing products, run deep discovery, prototype MVPs, ship end-to-end with cross-functional teams, define success metrics, and iterate based on data and customer feedback.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.