Top Remote Jobs in CO

Provides Tier 1 customer support through phone, email, and chat. Troubleshoots product issues, educates customers on MyCase, LawPay, and CPACharge, investigates reported problems, escalates technical issues to Tier 2, stays current on product releases, and documents interactions in Salesforce.

Leads strategic business development for healthcare manufacturing, medical equipment, medical device, and drug delivery opportunities. Identifies large-scale deals, builds cross-functional business cases and proposals, develops partnerships, conducts market analysis, negotiates high-value contracts, and maintains executive customer relationships. Provides market insights to senior management and supports sales growth through strategic initiatives. Domestic and international travel is required.

Own brand and product writing across campaigns, launches, and user touchpoints. Translate complex AI and product functionality into clear, compelling language; shape content strategy; collaborate with Product, Engineering, Marketing, Legal, Design, and Research; manage multiple projects; advocate for users; elevate writing quality; and mentor other writers.

Own technical relationships with regional reseller and VAR partners, serving as their primary Huntress advisor. Train partners, run demonstrations and proof-of-concept evaluations, onboard deployments, support customer opportunities, address technical objections, develop enablement materials, and track partner activity in Salesforce. The role requires translating cybersecurity concepts into business value and collaborating across teams to drive partner readiness, pipeline, and successful customer outcomes.

Provide frontline member support through phone, chat, and email. Explain healthcare benefits and claims, guide members toward quality care, resolve complex issues, de-escalate concerns, collaborate across departments, escalate feedback, follow evolving procedures, and protect member privacy under HIPAA and data security requirements.

Lead a platform configuration and implementation engineering team, owning technical direction, delivery commitments, architecture, system reliability, hiring, and engineer development. Collaborate across Product, Delivery, Underwriting, Compliance, and peer engineering teams. Guide distributed systems and microservices development, promote configuration-driven solutions, adopt AI development tooling, monitor team and system metrics, and contribute hands-on to design and code reviews.

Lead strategic State DOT and state/local government accounts, growing existing relationships and developing new revenue opportunities. Manage complex enterprise sales cycles involving discovery, solution development, RFPs, procurement, negotiation, and close. Build executive relationships across transportation, GIS, engineering, IT, and procurement stakeholders; coordinate internal and partner teams; maintain account plans, pipeline forecasts, and CRM discipline. Travel primarily within the United States as business needs require.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

Leads and scales a team of Technology Integration Specialists responsible for customer integration delivery. Oversees discovery, architecture reviews, API specifications, technical escalations, project execution, and integration quality. Partners with Sales, Product, Engineering, Implementation, and Customer Success to improve processes, manage risks, support technical discovery, and shape integration strategy. Provides people leadership, customer guidance, and hands-on technical oversight without owning software development.

Apply established machine learning techniques—including clustering, classification, and anomaly detection—to ICS/OT cybersecurity data. Integrate model outputs into batch and near-real-time pipelines, evaluate third-party models, maintain reliable data contracts and observability, and troubleshoot production issues such as data drift and output quality. Collaborate with AI engineers, data engineers, and product teams while clearly communicating model behavior, uncertainty, and downstream use.