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

Lead the payments risk and chargeback operations, configure payment processors, manage fraud rules and dispute workflows while optimizing payment success rates.

Own end-to-end localization production: scope projects, manage vendors, coordinate post-production, consolidate quotes, ensure timely deliveries, and improve SOPs and workflows across cross-functional teams.

As Implementation Manager, you will oversee customer deployments of the Odyssey platform, ensure successful implementations, and facilitate communication across teams to enhance customer experience and satisfaction.

The Research Intern will assist in data curation, exploratory analysis, and implementation of machine learning models in healthcare applications.

The Data Migration Specialist will oversee the migration of customer data from legacy systems into Prospyr, ensuring data accuracy and reliability through validation, QA checks, and collaboration with cross-functional teams to support customer onboarding and go-live processes.

Lead B2B growth and brand across crypto, shipping, and logistics by defining GTM strategy, market education, ABM and lead-gen campaigns, customer research, and brand/tone to drive enterprise acquisition and trust.

Lead transition of mechanical products from design to global volume production for data centers. Drive manufacturability, supplier management, compliance, testing, and cross-functional coordination to meet cost, quality, and timeline targets.

As an ERP Consultant, engage with clients to implement and customize Sage Intacct, analyze financial processes, and deliver training and support.

Own onboarding, implementation, and go-live for enterprise clients; lead executive strategic reviews and ROI discussions; monitor adoption, usage, and health metrics; manage escalations and coordinate resolutions; identify upsell/expansion opportunities; advocate customer needs to drive product roadmap; build relationships and scalable Enterprise CSM processes.

Design, build, and operate Spark-based ETL pipelines on AWS. Collaborate with stakeholders to deliver reliable data products, ensure data quality and governance, optimize performance, and maintain operational excellence of the data platform.