Top Remote Jobs in CO

Detect, investigate, and respond to security incidents across Windows, macOS, and Linux. Perform malware and forensic analysis, develop detection and remediation processes, produce customer-facing reports and recommendations, and contribute to public thought leadership. Work hybrid on a 4x10 schedule with weekend coverage and collaborate with customers and internal teams to contain and remediate threats.

Maintains and improves large-scale production systems across bare-metal servers, virtual machines, and container platforms. Responsibilities include Linux administration, architecture recommendations, hardware troubleshooting, production deployments, scripting and automation, monitoring, CI/CD, configuration management, technical documentation, and on-call support. The role collaborates with distributed cross-functional teams, uses AI to improve workflows, and requires periodic business travel and government-related background and fingerprint checks.

Validate server hardware components and new platform designs through power, thermal, performance, firmware, and automation testing. Maintain hardware test infrastructure, document technical findings, coordinate with ODM/OEM partners, and collaborate with software teams on BIOS, kernel, and firmware optimization. The role requires expertise in server architectures, validation methodologies, Linux, Python, Bash, Redfish, IPMI, and industry standards including PCIe, NVMe, and DDR.

Perform 24/7 SOC monitoring and incident response across networks, endpoints, cloud and SaaS; triage, investigate, and remediate incidents; collaborate with vulnerability management, FedRAMP, and engineering teams; refine detection/playbooks; maintain incident documentation and SOC processes; support FedRAMP-related security and privacy responsibilities and periodic background investigations.

Lead product marketing for cloud data protection: define strategy and positioning, run GTM launches and campaigns, produce content and sales enablement, manage competitive and analyst relations, and partner cross-functionally to drive revenue, adoption, and market awareness.

Lead KPA's enterprise security platforms and technical security initiatives across cloud, identity, endpoints, network, and DevOps. Own vulnerability management, incident response, SOC 2 compliance, vendor security assessments, and security automation. Partner with IT and DevOps to embed security in CI/CD, IaC, containers, and cloud workloads while improving posture through detection engineering, automation, and governance.

Build end-to-end internal AI agents and workflow automations: discover high-value opportunities, redesign processes, implement LLM-based agents with integrations, deploy and operate solutions, and ensure security, compliance, monitoring, and adoption across GTM teams.

Execute on-page SEO, content optimization, and AI/AEO initiatives across a large site. Monitor site health with SEO tools, perform content audits, fix basic technical issues, publish SEO content, and support marketing teams with keyword and competitor research to improve search and AI discoverability.

Lead product marketing for Runpod's AI infrastructure platform: define positioning and messaging, run launches, own competitive intelligence and sales enablement, create technical long-form content, build AI-assisted content workflows, conduct customer research, and align GTM across product, marketing, and sales to drive awareness, adoption, and revenue.

The Product Designer will create clear, scalable experiences for complex B2B enterprise software. Responsibilities include owning end-to-end feature design, developing workflows, wireframes, prototypes, and UI specifications, conducting user research, applying accessibility standards, and partnering with Product Management, Engineering, QE, and other teams. The role requires translating user insights into effective solutions, communicating design rationale and tradeoffs, and ensuring designs are feasible, consistent, and high quality.

Drive customer adoption, satisfaction, retention, and growth across a high volume of accounts. Lead training and value discussions, execute scalable customer-success playbooks, monitor usage and health metrics, resolve inquiries, identify churn risks, and uncover growth opportunities. Partner with Product and Engineering on process improvements and automation, while contributing to internal knowledge resources and best practices.

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.

The Senior Solutions Engineer leads technical sales cycles, designs enterprise storage solutions, and partners with sales to drive customer outcomes and revenue growth.

Lead and grow a distributed engineering team to build and scale AI platforms and agents for healthcare. Own technical strategy, data/retrieval/semantic architectures, ML model serving and MLOps, and deliver HIPAA-compliant, cloud-native systems in partnership with Product, Data Science, and Clinical teams.

Build and operate Coinbase's LLM and agent platform: unified model gateway, AI Hub, secure microVM agent runtime, knowledge base integrations, AI FinOps, observability and evaluation tooling, and production-grade agent deployments with teams across the company.

Architect, build, and operate low-latency market data systems, including feed handlers, normalization, distribution, and exchange connectivity. Design high-throughput infrastructure for real-time trading data, improve reliability and performance, participate in observability, on-call, and incident response, and deliver well-tested features end to end. Partner with engineering, product, and cross-functional stakeholders while leading a lean, high-impact team.

Own infrastructure, deployment, operational tooling, observability, deploy safety, and incident response for latency-sensitive institutional trading systems across cloud and colocated environments. Improve reliability, performance, and developer velocity; reduce single points of failure; establish operational standards and automation; partner with engineering, product, markets, and SRE; and mentor engineers in a 24/7 production environment.