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

The AI Solutions Delivery Architect will design and implement AI-based solutions, aligning with business strategies to optimize transformation. This role includes evaluating AI platforms, leading AI deployments, and ensuring effective adoption strategies across teams.

Lead Pluralsight's curriculum strategy to identify and shape future skills; translate market and technology trends into a curriculum roadmap; align with product, GTM, and content production; measure portfolio performance with data; lead and develop curriculum directors and managers; define scalable frameworks and represent the company externally.

The Customer Success Manager will engage customers to maximize platform usage, drive renewals, build relationships, and analyze customer data for strategic recommendations.

As a Product Manager, you'll lead the development of content tools, enhance user engagement, and manage systems for content organization and accessibility.

The Product Manager focuses on enhancing user engagement through onboarding, analytics, and cross-channel communications while collaborating with various teams to drive lifecycle improvements.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

Partner with the CPO to translate strategy into operating action, drive cross-functional execution, manage high-priority special projects, run product management rhythms, surface risks and dependencies, improve meeting and escalation discipline, and represent the CPO in internal forums to ensure alignment and delivery during reorganization.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

The Enterprise Account Executive will manage revenue retention and expansion, oversee the sales cycle, build client relationships, and develop strategies for customer success.

Lead end-to-end data science projects, develop machine learning models, collaborate with stakeholders, mentor team members, and communicate insights effectively.