Top Tech Jobs & Startup Jobs in CO

The role involves developing business banking client relationships, generating deposits, providing exceptional client service, and managing a personal book of business in a fast-paced team environment.

The Market Risk Analyst will monitor SBL lines of credit, assess market risks, manage collateral, develop risk models, and prepare reports.

The role involves sourcing business for 1031 exchanges and managing long-term client relationships, focusing on business development and client satisfaction in a growing community bank.

The Developer Relations Engineer will be the subject-matter expert on LogicGate's REST API, guiding customer engineers on integrations, troubleshooting issues, and producing developer resources.

The Senior Implementation Services Associate will manage end-to-end customer implementations, build relationships, and utilize Risk Cloud for GRC solutions.

Lead LogicGate's product marketing team, developing go to market strategies, messaging, and high-value content. Collaborate across departments to drive growth and retention.

The Portfolio Scrum Master will coordinate teams, manage dependencies, facilitate problem-solving, and support Agile transformation to drive business value.

The Senior Fullstack Engineer will architect, develop, and implement eCommerce solutions, optimize customer onboarding, and lead engineering best practices.

The role involves designing and building architectural components for an eCommerce platform, collaborating across teams, and ensuring high standards of scalability and performance.

The Workforce Management Scheduling and Forecasting Analyst Lead oversees scheduling strategies to improve operational efficiency, collaborates with various teams, and ensures compliance with SLAs while managing workforce scheduling processes effectively.

The Senior Account Executive is responsible for driving sales growth, developing territory strategies, and building executive-level relationships to exceed sales quotas.

As a Staff Data Scientist, lead high-impact data science projects, mentor team members, and innovate using AI and machine learning. Collaborate across teams to enhance products and deliver insights.

Lead the Orchestration Services team, managing engineering projects and guiding team members, while ensuring reliable, scalable data processing systems.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

The Staff Partner Engineer leads technical support and project planning for partnerships, collaborating with engineering teams and ensuring alignment with external stakeholders.

Provide personalized support to customers via phone and text, addressing their needs and enhancing customer satisfaction while mastering product knowledge.

The Clinical Director of Virtual Care will lead and scale virtual care services, oversee NP workforce, ensure compliance, and improve patient experience.

Responsible for end-to-end recruitment of clinical roles, including candidate sourcing, interviewing, and relationship management. Collaborate with hiring managers on staffing needs and recruitment strategies for healthcare professionals.

The Director of Clinical Quality and Training will lead clinical quality assurance and training programs, ensuring compliance with standards, overseeing performance metrics, and managing a high-performing team.

Design and implement detection pipelines, improve SIEM capabilities, collaborate on security technologies, and lead incident response efforts for fintech products.

The Analyst will optimize the decision engine, support configuration, execute testing, and drive cross-functional collaboration to integrate decisioning capabilities effectively.

As a Product Manager, you will develop the strategy, roadmap, and delivery for the Salesforce platform, working between business stakeholders and technical teams to optimize workflows and enhance customer service.

Join Braze's Engineering team to design, improve, and scale their self-learning AI platform using best software engineering practices and data architecture.

The Engagement Manager II oversees the AI deployment process for clients, leading technical workshops, managing customer relationships, and driving process improvements.