Top Remote Jobs in Denver & Boulder, CO

Lead product marketing for Zscaler Private Access: define positioning and messaging, run go-to-market and launches, create full-funnel content, enable sales, and monitor market and AI/security trends to drive adoption and revenue.

Lead digital transformation and AI-powered support initiatives to improve case lifecycle, self-service adoption, and customer outcomes. Own knowledge management (KCS), process optimization (Lean/Six Sigma), enablement, COE programs, and cross-functional partnerships with Engineering, Product, and Operations. Analyze case trends and metrics to drive product, process, and digital support improvements and reduce resolution times.

Design, implement, and support enterprise physical security systems (video surveillance, access control, sensors, IoT). Consult with clients, develop technical architectures, configure and test systems, troubleshoot hardware/software, manage projects, run design workshops, and support sales and delivery. Travel 25-50% and perform hands-on installations and network-integrated solutions.

The Principal Consulting Engineer designs, deploys, and optimizes private cloud infrastructures, ensuring solutions meet customer approval and providing technical leadership.

Design, develop, test, and operate cloud-connected vehicle firmware and services. Build and maintain firmware features in C/C++ and Go, support large-scale device fleets, implement observability and rollout metrics, triage customer and QA issues, and collaborate with product, firmware, and systems teams to deliver production-ready IoT solutions.

Lead full-cycle recruiting for Go-to-Market roles (Customer Success, Solutions, Sales Ops), partner with senior leaders, use data to influence hiring, build proactive pipelines, employ creative sourcing, optimize processes, collaborate cross-functionally, and leverage AI and modern recruiting tools to improve quality and efficiency.

Lead design and delivery of scalable customer-facing features, services, and APIs that process real-time data and AI-powered insights. Build web experiences, contribute to LLM/AI workflows, ensure reliability through observability and rollout practices, and collaborate cross-functionally with Product, Design, ML, and platform teams.

Technical leader for Salesforce release lifecycle: design and evolve enterprise CI/CD, automate deployments, manage cross-system releases (Salesforce, NetSuite, AWS), resolve deployment and production issues, and integrate AI-driven tooling to improve velocity, reliability, and developer self-service.

Design, scope, prototype, and deliver backend and full-stack features for the Retail Grocery platform. Make technical decisions, deploy AI-native experiences, engage directly with customers and iterate quickly to meet retail needs.

Manage full-cycle recruiting for Sales and Customer Success roles: build candidate pipelines, prioritize inbound applications, partner with hiring managers, use recruitment data to drive decisions, and ensure inclusive candidate experiences while meeting high-volume hiring goals.

Drive partner-sourced Scale pipeline across EMEA by recruiting, enabling, and activating partners (distributors, resellers, hyperscalers). Build repeatable partner-led campaigns, account mapping, event strategies, and partner portals. Collaborate with account executives, field marketing, and regional leaders to forecast, report, and accelerate marketplace transactions to meet regional Scale growth targets.

Design and maintain people analytics reporting, dashboards, and data models; perform advanced statistical analyses and survey design; automate workflows and collaborate with stakeholders to translate insights into actionable recommendations.

Design, produce, and deliver internal events (virtual, hybrid, occasional in-person) to strengthen connection and align employees with company priorities. Own event lifecycle from concept, budgeting, vendor management, and production to measurement; partner with executives and cross-functional teams; use event tech and AI tools to scale inclusive, accessible experiences for a global remote workforce.

Partner with sales as a pre-sales technical resource: discover customer requirements, present product value, deliver demonstrations and POVs, support RFPs, and provide product feedback to drive Identity Governance sales.

Design, launch, and scale customer community engagement programs (webinars, events, advocacy, content campaigns) to drive activation, repeat participation, retention, and measurable business impact. Work cross-functionally with Customer Success, DevRel, Product, and Marketing; define KPIs, run experiments, and optimize programs to convert participants into contributors and advocates.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

Lead brand-driven web design and build Webflow marketing experiences end-to-end: design narrative, interactions, CMS architecture, and ship high-traffic pages. Work across campaigns, events, film, and product; experiment with AI/agentic tooling; mentor teammates and ensure performance, accessibility, and SEO.

Design and implement enterprise analytics tracking across web, mobile, and SPAs using Tealium and other TMSs. Maintain data layers and SDRs, configure tags and events, validate data integrity, collaborate with engineering teams, mentor junior staff, produce technical documentation, and support presales and thought leadership activities.

Lead sourcing and execution of strategic partnerships, investments, and M&A. Drive deal structuring, negotiation, financial modeling, diligence, and integration planning. Advise executives on corporate strategy, build industry and government relationships, and deliver market intelligence on defense, autonomy, and AI to inform long-term planning.

Build and operate an enterprise Databricks lakehouse: design and maintain Bronze and Silver ingestion/transformation pipelines (batch/stream/CDC), implement Unity Catalog and secure platform constructs, create CI/CD for data assets, enforce data classification and quality, and collaborate with domain teams to enable governed data for analytics.

Own and design the Databricks Gold and enterprise semantic layer: implement governed facts, dimensions, KPIs, and semantic models. Translate business KPI definitions into auditable transformation logic, enforce governance promotion paths, review models for correctness, coach domain teams, and ensure traceability, documentation, and compliance-aware data exposures for BI and self-service analytics.

Lead full‑stack design and delivery of customer-facing web experiences (Browse, Navigate, Preview). Own architecture, APIs, data models, rollouts, observability, on‑call readiness, and cross-team alignment, using approved AI-assisted workflows while ensuring technical quality and reliability.

Lead and grow a data engineering team that builds and operates ingestion, transformation, orchestration, and serving layers and a self-serve analytics substrate. Own data quality, observability, cost efficiency, SLAs, and engineering practices while partnering with Data Science, BIE, Analytics, and Product to deliver reliable, reusable data products.

Lead and scale Product Marketing operations: build operating models for messaging lifecycle, portfolio and roadmap visibility, PMM launch governance, cross-functional decision rights, templates, reporting, and AI/automation-enabled workflows to improve launch readiness and go-to-market execution.