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

Resolve complex customer escalations by diagnosing production issues, delivering end-to-end code fixes, using AI-assisted debugging tools, documenting solutions, contributing to knowledge bases, and providing occasional after-hours pager support.

Sell Precisely's Data Integrity suite into State, Local, and Education accounts across the Northeast. Prospect new accounts, manage and expand existing relationships, generate pipeline and revenue, collaborate with marketing, sales engineering, services and partners, document sales activity in Salesforce, and support regional sales leadership to meet territory goals.

The Senior Account Executive will target IBM Mainframe sales, manage enterprise customer relationships, develop strategies, and drive revenue growth in the Americas.

Design and implement complex data integration solutions, providing technical leadership and support across various environments, while working closely with customers and internal teams.

The Associate BDR identifies and engages prospects, conducting outbound and inbound business development to book meetings for sales teams and drive revenue.

The Sales Engineer will support pre-sales activities by interpreting client requirements, delivering demonstrations, and implementing technical solutions using Precisely products. The role involves engaging in sales discussions, participating in trade shows, and providing end-to-end solutions while acting as a trusted advisor on cloud modernization and AI initiatives.

Lead the product lifecycle for cloud-native Location Intelligence SaaS and APIs: define roadmap, collaborate with engineering/UX/data, engage enterprise customers, leverage AI tools for discovery/prototyping, integrate with cloud partners, drive go-to-market and measure KPIs to ensure adoption and product success.

Lead strategy and roadmap to modernize product education into in-product, AI-enabled, self-service learning. Design task-based, just-in-time guidance, partner cross-functionally with Product/UX/Engineering, implement scalable Help Center and knowledge solutions, measure adoption and learning effectiveness, and continuously improve experiences using data and AI-driven insights.