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

Leads client services and portfolio strategy for influencer marketing accounts, overseeing revenue growth, forecasting, staffing, proposals, delivery quality, client relationships, risk management, and operational consistency. Develops senior account leaders, drives cross-functional collaboration, improves scalable workflows, and applies AI- and data-first approaches to enhance efficiency, innovation, and client outcomes.

Provisions and supports Azure cloud infrastructure, Terraform modules, and Azure DevOps CI/CD pipelines. Manages Azure resources, landing zones, networking, identity, security controls, monitoring, compliance, cost optimization, and deployment automation. Troubleshoots infrastructure and pipeline issues, supports incident response, and partners with application, security, networking, and operations teams. The role also develops runbooks, maintains environment parity, and delivers governed, reliable, production-ready DevOps capabilities.

Advises first- and second-year business students on academic success and supports career readiness for students. Assists with internships, resumes, interview preparation, and job applications while collaborating with faculty, staff, families, community members, and university Career Services. Maintains professionalism, prioritizes multiple tasks, follows institutional procedures, and uses Microsoft Office and customer relationship management software.

Supports recruitment, onboarding through termination, employee relations, benefits, wellness programs, policy guidance, HR data and reporting, training records, and office culture initiatives. Provides HR support to employees and managers while coordinating with corporate HR and office leadership. Maintains accurate records and assists with events, professional licensing, certifications, and mentorship programs.

Owns technical accounting research, US GAAP application, external financial reporting, audit support, investor reporting, M&A accounting, internal controls, and process improvements. The role prepares technical memos, financial statements, disclosures, covenant schedules, and private equity sponsor reporting packages while partnering with auditors, FP&A, Legal, Tax, and Treasury. It also monitors accounting standards, supports acquisitions, mentors junior staff, and improves the close process.

Directs enterprise marketing operations, including project pipelines, workflows, campaign delivery, resource planning, budgeting, vendor performance, compliance, and process improvement. Leads marketing project managers and administrative staff, oversees marketing systems and documentation, analyzes initiative effectiveness, and partners with stakeholders and leadership to deliver aligned marketing programs. Provides coaching, training, and operational guidance while fostering a high-performing team culture.

Leads the strategy, architecture, development, deployment, monitoring, and optimization of an agentic AI platform. Transforms products, processes, and workflows into scalable AI-enabled capabilities; establishes standards for performance, security, governance, and reliability; evaluates models and orchestration frameworks; partners cross-functionally on technical roadmaps; and builds and mentors high-performing engineering teams.

Develop new business and expand distribution relationships for third-party retirement administration and actuarial consulting services. Engage financial advisors, recordkeepers, CPAs, broker-dealers, and other intermediaries; execute territory sales strategies; explain retirement plan design and compliance concepts; manage partnerships, market intelligence, and sales pipelines; and collaborate with actuarial, operations, marketing, and platform teams to deliver tailored solutions.

Serve as technical lead in pre-sales: architect and demo LanceDB solutions for RAG, vector search, and ML pipelines; run discovery sessions, build POCs, onboard partners, and relay customer feedback to product and engineering.

Build and deploy production generative AI and machine learning systems for utility clients. Own engagements end to end, including discovery, architecture, retrieval, model selection, evaluation, deployment, monitoring, operator-facing applications, and post-go-live support. Integrate with client data and business systems, establish AI safety and governance controls, manage scope and risk, and communicate with technical teams and executives. Contribute reusable accelerators, evaluation frameworks, and reference architectures across client engagements.