Top Remote Jobs in Denver & Boulder, CO

Designs and launches repeatable managed service offerings for MSPs, MSSPs, and cloud providers using Rubrik’s cyber resilience portfolio. Owns service blueprints, partner workshops, presales architecture, enablement content, adoption analytics, roadmap readiness, and AI-powered tools. Collaborates with Sales, Product, Engineering, Marketing, and strategic partners to turn concepts into scalable, priced, launched, and adopted services. Requires deep expertise in backup, recovery, cloud infrastructure, virtualization, compliance, and significant partner travel.

Own and deliver quarterly engineering goals for Affirm’s ML Feature Platform. Design, develop, and launch scalable backend systems, lead engineers through ambiguous problems, collaborate with product and design stakeholders, improve platform reliability and availability, support on-call operations, establish quality standards, and mentor team members. The role focuses on highly available distributed systems supporting machine learning feature creation, storage, serving, and offline backfilling.

Build and maintain scalable integration and end-to-end test automation frameworks, optimize CI pipelines and test execution, improve test stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate cross-functionally to evolve the company test strategy.

Own and deliver goals for ML training and serving infrastructure. Lead engineers through ambiguous, distributed-systems challenges; design, develop, and operate highly available backend platforms; monitor reliability and support on-call operations. Collaborate with product and engineering stakeholders, improve code and design standards, identify and resolve technical issues, and mentor team members. The role focuses on scalable systems that enable production model training and serving.

Leads the data platform engineering team, owning architecture, roadmap, ingestion, orchestration, warehouse, BI, streaming, AI-agent capabilities, data quality, governance, and self-service infrastructure. Manages and develops senior engineers, drives technical standards, reviews designs and code, supports incident response, and partners across engineering, analytics, finance, security, compliance, and risk. Requires hands-on data platform, AI, and technical leadership experience.

Drive revenue growth for Zscaler’s security operations product portfolio within a designated region. Own territory quota, develop account-based strategies, sell to C-suite and technical stakeholders, and partner with solution engineers and sales teams to close complex deals. The role focuses on cloud security, vulnerability management, deception, threat hunting, and AI-driven security solutions while building customer relationships and securing new enterprise logos.

Enterprise Account Executive responsible for building executive-level customer relationships, developing strategic account plans, aligning cloud security solutions with business goals, collaborating with internal teams, and driving new-logo sales. The role requires full-cycle software or security sales experience, enterprise and C-level selling expertise, strategic planning, channel partnership experience, and effective use of AI tools to improve sales productivity.

Leads end-to-end delivery of AI security solutions for enterprise public-sector customers. Deploys and optimizes Zscaler AI Guard, AI Protect, and SPLX across cloud and Kubernetes environments; designs networking and firewall connectivity; performs automated AI red-teaming, vulnerability probing, and lab replication. Acts as a trusted technical advisor, produces documentation and demos, advocates customer needs, and supports product development. Requires expertise in LLMs, cloud networking, APIs, containers, and security, plus U.S. citizenship, clearance eligibility, and travel up to 40%.

Advises health plans and provider networks on member and patient experience improvement. Leads payer-provider collaboration, performance improvement initiatives, training, coaching, metric interpretation, and end-to-end client engagements. Uses PDSA and healthcare quality frameworks to improve CAHPS, HEDIS, HOS, Star Ratings, and value-based care outcomes. Requires healthcare operations expertise, provider-setting experience, strong presentation skills, and nationwide travel.

Coordinates governance, prioritization, tracking, reporting, and operational readiness for RIS Operations initiatives. Maintains project backlogs, monitors risks and milestones, manages intake and capacity planning, develops executive dashboards, coordinates IT enhancements and deployments, establishes KPI/KRI frameworks, supports business cases and benefits tracking, and improves process documentation and self-service reporting.

Lead AI-enabled tools, analytical workflows, and strategic projects for Dynatrace’s Insights team. Partner with leadership, analysts, data science, engineering, and product teams to design, validate, operationalize, and improve AI-driven processes. Interpret complex data, establish governance practices, train teams, document workflows, track adoption and efficiency gains, and research emerging capabilities. The role requires business-focused AI experience, data analysis, executive communication, process design, and the ability to manage ambiguity and iterative innovation.

Territory Manager responsible for selling enterprise SaaS solutions, developing executive and partner relationships, managing pipelines, qualifying opportunities, and achieving revenue targets. The role includes consultative selling, account retention and upselling, business case development, tailored presentations, sales pursuit leadership, CRM and database maintenance, and aligning Enverus solutions with customer objectives. Energy industry experience and knowledge of owner relations, JIB, and revenue processes are preferred.

Develop and lead complex AI and data science solutions, shape AI technical strategy, research emerging technologies, resolve large-scale technical problems, and guide cross-functional teams. The role focuses on scalable data solutions, machine learning, deep learning, large language models, generative AI, NLP, computer vision, Python, and Vertex AI. It requires a bachelor's degree and at least five years of progressive data analytics and data science experience.

Own the full B2B sales cycle for Cleo Compliance Edition, from prospect research and discovery through demonstrations, proposals, negotiation, closing, forecasting, and customer handoff. Advise vendors and suppliers on EDI compliance, collaborate with internal teams and partners, manage campaigns and accounts, maintain CRM accuracy, and meet pipeline and quota targets. The role requires WebEDI knowledge, AI fluency, strong communication, and 30% travel.