Top Remote Jobs in CO

Reviews and analyzes commercial insurance submissions, quote revisions, bind reviews, endorsements, and policy updates within delegated authority. Communicates with underwriters, agency partners, and internal teams; verifies business information; identifies risk concerns; requests additional details; and supports accurate, timely policy processing. Maintains knowledge of workers’ compensation and commercial auto coverage, forms, ratings, and manuals while managing high-volume work across multiple states.

Sell and scope Zscaler Professional Services for enterprise and commercial customers. Partner with sales, solution engineering, architecture, delivery, customer success, and channel teams to develop proposals, Statements of Work, resource plans, training recommendations, and technical solutions. Own services bookings quotas and attach-rate targets while translating complex security and technology concepts into customer value and deployment outcomes.

Provide first-line technical support for complex security and networking issues, including troubleshooting SSL, SAML, HTTP, TCP/IP, connectivity, and performance problems. Partner with Engineering, document resolutions, manage enterprise escalations, contribute product feedback, develop training, and mentor support engineers. The role requires expertise in web security, network infrastructure, security proxies, VPNs, firewalls, DLP, SD-WAN, and related technologies, along with U.S. citizenship.

Own and grow a portfolio of large health system partnerships through consultative enterprise selling. Lead complex, multi-stakeholder sales cycles, drive renewals and expansions, negotiate commercial contracts, partner cross-functionally, and travel frequently to build executive relationships and accelerate adoption.

Leads Fusion’s Technical Architecture practice while personally building production AI and LLM tooling for Professional Services. Responsibilities include managing and mentoring architects, setting architecture standards, supporting enterprise presales and regulated customers, modernizing delivery infrastructure, establishing AI security guardrails, evaluating emerging AI capabilities, and driving adoption through training and enablement. The role requires deep Salesforce or ServiceNow expertise, hands-on software development, enterprise integration knowledge, and executive-level customer engagement.

Lead go-to-market strategy for Sprout Social’s AI portfolio, including the Trellis AI agent. Develop enterprise launch playbooks, positioning, executive messaging, campaigns, and enablement programs. Analyze market and competitive dynamics, influence product roadmaps, improve launch processes, and partner with Product, Sales, Revenue, Brand, and executive leadership to drive adoption, revenue growth, deal expansion, and category leadership. The role also mentors marketing team members and operates with substantial autonomy.

Develop and optimize self-service customer lifecycle programs across email and in-app channels to improve onboarding, product adoption, retention, and customer engagement. Lead cross-functional execution, analyze program performance, manage timelines and resources, experiment with AI-enabled approaches, and present insights to stakeholders across Product, Customer Success, Product Marketing, and Marketing Operations.

Manage a book of ~60 enterprise customers to drive adoption, retention, and expansion of Sprout's social media platform. Build executive relationships, run success cadences (MBRs, EBRs), surface risks, collaborate on renewals, and use data and generative AI tools to create ROI narratives and accelerate work. Partner with onboarding, professional services, and renewals to meet retention and growth KPIs.

Originate and close corporate travel management opportunities for middle-market and large corporate clients. Lead complex sales cycles, develop executive relationships, build pipeline, negotiate solutions, and coordinate implementation handoffs. Partner with banking, product, operations, and servicing teams to deliver integrated solutions and strong client outcomes. Manage forecasting, analyze market trends, represent the business at industry events, and identify growth opportunities.

Own Rubrik’s customer story and CXO Visionaries programs from recruitment and discovery through content production, events, awards, and executive engagement. Develop technically grounded customer narratives, manage editorial workflows and external vendors, track story impact, and partner with sales, PR, product, engineering, alliances, and events teams. Build scalable processes and quality standards while translating cybersecurity and data resilience outcomes into compelling proof points for senior business and technology audiences.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Manage a portfolio of mid-market B2B SaaS customers, driving adoption, retention, renewals, expansion, and measurable business outcomes. Build executive relationships, create strategic account success plans, monitor customer health, lead executive business reviews, identify risks and growth opportunities, and collaborate cross-functionally with Sales, Product, Support, Professional Services, Finance, and Marketing. Serve as the customer advocate and trusted strategic advisor.

Build and maintain Customer Success and Implementation playbooks, SOPs, training programs, knowledge bases, presentation materials, and scalable workflows. Partner cross-functionally to communicate process and product changes, improve automation and efficiency, identify customer risks, and measure enablement effectiveness. Support implementation, launch readiness, customer health, escalations, business reviews, renewals, and expansion.

Lead end-to-end LLM inference performance across serving systems, models, GPU hardware, and workloads. Define rigorous benchmarks, diagnose bottlenecks from scheduling through kernels and interconnects, optimize single- and multi-node deployments, and deliver production-ready runtimes and configurations. Collaborate with product and infrastructure teams, evaluate inference technologies, and implement runtime fixes. The role requires strong Python engineering, production experience with serving engines such as vLLM or SGLang, GPU profiling, and knowledge of modern inference optimization techniques.