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

As a Platform Product Manager, you'll manage IAM capabilities, focusing on access control and security for enterprise customers while collaborating with engineering and security teams.

The Enterprise Account Executive will manage relationships with Fortune 1000 companies, overseeing complex sales cycles and driving new client acquisitions while collaborating across teams.

Assist in designing high quality AI conversation models for customer contact centers. Collaborate with teams to build solutions that meet business objectives and maintain AI model quality.

Assist in designing and building AI conversation models for customer service, collaborate with stakeholders, and lead model maintenance efforts.

The Data Science Intern will collect and preprocess data, build machine learning models, and assist in deploying models while collaborating with team members.

Build and operate signal-based GTM activation workflows across Common Room, Salesforce, and sequencing platforms. Design enrichment waterfalls, translate audiences into sequences and SDR tasks, partner with Revenue Technology on Salesforce changes, and instrument dashboards, QA checks, and experiments to improve conversion and speed.

As a Senior Partner Solutions Manager, you will manage partner relationships, guide partners on Cresta's platform, and facilitate technical onboarding, solution development, and go-to-market strategies for mutual growth.

The Deal Strategy & Operations Manager will lead complex enterprise deal structures, optimize processes, and train sales teams, enhancing revenue operations.

The Director of Enterprise Sales will lead and grow a team of Enterprise Account Executives, drive performance, and manage strategic enterprise sales processes to exceed revenue targets. Responsibilities include recruiting, sales execution, collaborating with cross-functional teams, and providing accurate revenue forecasts.

The role involves designing and advancing infrastructure for the engineering team, ensuring the reliability of Kubernetes clusters, automating operations, and building machine learning infrastructure.