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

As a Founding Engineer, you'll lead product development initiatives, make architectural decisions, and foster engineering best practices in a startup environment. Your expertise will be critical in building a user-friendly AI-driven supply chain platform.

As a Senior MuleSoft Engineer, you'll lead the production of MuleSoft integrations, leveraging AI for development, testing, and delivery, managing multiple client engagements autonomously with clear communication on project status.

Analyze large marketing datasets, build predictive models for segmentation, pricing, and demand forecasting, support targeted campaigns and retention, partner with product and marketing, apply statistical and ML methods, ensure data quality with engineering, and communicate insights to stakeholders to drive conversion and retention improvements.

The Partner Manager will operationalize co-sell programs, enable partner sales teams, manage CRM data, and serve as a liaison for technical issues, aiming to accelerate revenue through strategic partnerships.

The Data Manager oversees the full lifecycle of critical data, ensuring high-quality integration and analytics. Responsibilities include data operations, assessment of sources, collaboration with developers, and support for rapid-prototype phases.

Board-appointed committee to comprehensively renew the UUA bylaws: assess coherence, align bylaws with UU values and governance practice, gather stakeholder input, draft proposals with the Board, and prepare clear rationale for General Assembly consideration.

The MySQL DBA will manage MySQL environments, perform database administration tasks, tune performance, and create reports in Jaspersoft. The role involves collaborating on high availability environments and data import/export processes.

The CX Automation Performance Analyst manages post-launch AI programs, ensuring ongoing performance and optimization, building dashboards, and maintaining documentation.

Own full-funnel lifecycle for Payments and Workforce Management partnerships: source and close partners, lead onboarding and technical enablement, create partner collateral and playbooks, and scale programs through governance, training, and performance tracking (MBRs/QBRs).

Own and improve dbt models, ELT pipelines, and warehouse architecture (Snowflake or equivalent) to deliver reliable executive KPIs and metric governance. Build data spine for Finance/Operations, enforce data quality/testing, partner cross-functionally with Engineering, FP&A, and Accounting, and influence analytics engineering standards, tooling, and roadmap.