Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Support media planning by interpreting campaign performance, building proposals and measurement plans, managing workflows for assigned accounts, acting as day-to-day client contact, and learning integrated digital channels and Basis platform capabilities to drive campaign execution and account growth.

Manage a book of public-sector accounts to drive adoption, retention, and expansion of the GitLab DevSecOps platform. Translate pre-sales plans into measurable objectives, coach customers on Git, CI/CD, and DevSecOps best practices, coordinate cross-functionally for escalations, and use project management to deliver customer enablement and success initiatives.

Lead strategic vision and execution of GitLab's data platform and analytics capabilities, focusing on AI-enabled self-service analytics and data governance.

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.

Lead execution and optimization of multi-channel ABM programs (1:1, 1:few, 1:many), align campaigns with sales and field marketing, manage paid media, maintain account segmentation and intent data, monitor account-level engagement and pipeline influence, and continuously test and optimize using AI tools. Mentor one team member and coordinate creative, analytics, and execution across internal teams and partners.

Build and maintain Tableau dashboards, define KPIs, validate data, and query large datasets with SQL. Analyze cross-channel marketing performance across paid media, CRM, ecommerce, web, and app channels. Translate findings into actionable business insights, recurring client reports, and executive-ready presentations. Collaborate with engineering, analytics, data engineering, and strategy teams while guiding stakeholders toward data-driven decisions.

Manage title order processing end-to-end: open orders, procure title search products, HOA documents and payoff demands, review executed closing files, prepare and submit recording documents, monitor recordings, resolve discrepancies, and upload final documents while maintaining regulatory and company compliance.

Lead strategy and execution for enterprise identity, access control, and governance features. Partner with go-to-market, engineering, and design to build scalable RBAC, audit, and compliance capabilities for large customers and evangelize principles across the product.

The Engineering Manager for Developer Productivity will lead a remote team to enhance developer productivity, focusing on AI integration, tooling evaluation, and team development while collaborating with cross-functional partners.

Build and operate customer-facing applications and shared platform services using TypeScript, Node.js, React, and Next.js. Own API contracts, SDKs, data models, cloud delivery, observability, testing, and service adoption across engineering teams. Lead AI-assisted development practices, delivery automation, reliability improvements, technical documentation, design reviews, and mentorship. The role also involves evolving financial, authentication, workflow, and event-driven systems in a hands-on individual contributor capacity.

Lead engineering teams responsible for PSTN, voicemail, routing, and test/validation engineering. Drive technical roadmaps, ensure FCC compliance, oversee Tier3/4 support, develop front-line leaders, and implement test automation and quality controls.

Lead architecture, engineering, and lifecycle management of enterprise Hadoop clusters and supporting data platform services. Ensure scalability, reliability, security, and operational excellence; optimize infrastructure, drive provisioning and patching standards, troubleshoot distributed system issues, guide cloud/hybrid migration strategies, mentor engineers, and produce operational runbooks, data views, and automated processing.

Architects and leads enterprise data engineering solutions, including data warehouses, master data management, data lakes, ETL pipelines, integration services, and data processing systems. Oversees end-to-end data solutions, troubleshoots complex engineering issues, ensures global data integration standards, and mentors developers, vendors, consultants, and partners. The role also supports data scientists and engineers through efficient database, warehousing, and data access architectures.

Provide end-to-end support for background checks and onboarding, managing Sterling/First Advantage workflows, coordinating with Global Security and third parties, tracking completion metrics, and delivering an excellent candidate experience. Act as subject matter expert for talent processes, advise stakeholders, handle sensitive information, and assist on related projects.

Delivers strategic cybersecurity advisory engagements, assesses and improves security and incident-response programs, develops cyber exercise scenarios, and prepares executive-level reports and recommendations. The consultant also contributes to cybersecurity trend analysis, thought leadership, methodology development, and internal initiatives while managing multiple projects and client relationships. Travel of up to 30% is required, often on short notice.

Deliver strategic cybersecurity advisory engagements, assess and develop security and incident response programs, create exercise scenarios, and present reports and recommendations to customer management. The consultant also contributes to cybersecurity trend analysis, thought leadership, methodology development, and internal programs. Responsibilities require independent strategic analysis, strong communication, management of multiple projects, customer relationship skills, and use of AI technologies to improve decisions and workflows. Travel to client sites may reach 30%.

Owns global Forward Deployed Engineering program governance, including modernization deal scoping, LOE calculators, SOPs, pre-sales to post-sales handoffs, SOW inputs, and enablement programs. The role coordinates Solution Engineering, Professional Services, Partners, Sales, and Product Management while improving processes, maintaining scoping frameworks, supporting customer-facing sales calls, and using delivery feedback to optimize operations.

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.

Manage client success for law firm customers: drive adoption, retention, upsells, onboarding, product utilization, and ROI case studies while feeding client feedback into product roadmap.