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

Manage assigned accounts to achieve quota, drive renewals and expansion, build executive relationships, monitor adoption and customer health, coordinate technical support, run business reviews, maintain account administration, track activity in Salesforce and Gainsight, and develop consultative success plans to increase product uptake.

Act as a trusted advisor to diagnose governance and AI gaps in regulated industries, lead discovery, run demos and workshops, deliver end-to-end Alation implementations, define KPIs, drive adoption, and surface expansion opportunities tied to measurable business value.

The Neuroimaging Engineer will analyze MRI data, develop software for algorithms, and assist in managing neuroimaging databases and quality assurance.

Manage pre- and post-award lifecycle for complex sponsored research in Psychiatry: prepare and submit proposals, develop budgets, ensure regulatory compliance, manage subawards and fund monitoring, produce financial reports, coordinate with SPA/OSRS, handle award closeouts, and support faculty/leadership on grant administration and special projects.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.

Manage and build open enrollment and new hire cases across systems, schedule and assign benefit counselors, maintain staffing trackers and checklists, ensure platform access and licensing, monitor communications during enrollment, generate reports, track performance metrics, support compliance, and transition and close out cases.

Lead design, build, and operation of an enterprise medallion data lake on BigQuery. Manage data engineering team, own ingestion/onboarding, enforce data contracts and SLAs, ensure pipeline reliability and observability, control platform costs, and contribute to platform strategy and governance.

Serve as the technical authority for the Enterprise Data Platform, defining enterprise data architecture, canonical data and semantic models, externalization and API principles, and AI/knowledge-graph ready designs. Lead solution architecture, govern semantic layers and Collibra integration, chair architecture reviews, shape technology roadmap, and partner with platform and trust teams to ensure consistent, governed data products across delivery teams.

Lead commercial strategy and market adoption for Prior Authorization and Electronic Benefit Verification products. Own 3-year growth plans, pricing, ROI models, early adopter programs, key deals, cross-functional alignment, and customer relationships with payers, PBMs, EHRs, pharmacies, and prescribers. Monitor regulatory/standards landscape and represent Surescripts externally.

Lead full-cycle recruiting for technical and business roles: partner with hiring managers, source and assess candidates, coordinate interviews, manage offers, maintain ATS records and recruiting metrics, support onboarding, and help shape talent strategy and employer brand.

Manage day-to-day People Operations: support employee and contractor onboarding/offboarding, benefits administration, compliance tracking, HR systems, events, documentation, and process improvements to create excellent employee experiences.

Lead architecture and implementation of software for autonomous UAS systems; mentor engineers; ensure compliance with aerospace standards; optimize CI/CD pipelines.

The DevOps Engineer III enhances software infrastructure for unmanned aircraft systems, focusing on backend integrations, frontend development, CI/CD pipelines, and system monitoring, collaborating with engineering teams.

Develop high-reliability software for safety-critical applications in UAS technology. Collaborate with teams, maintain solutions, and automate processes.

Participate in a 30-minute remote interview describing daily ticket management routines: how you prioritize, resolve, and document support cases, discuss workflow challenges, and react to hypothetical queue scenarios. No screen sharing required. Paid one-time $75.

Build and run a high-output AI-powered content factory producing multi-format content (video, ads, posts, email, landing pages). Own systems, workflows, and paid media execution (Meta, LinkedIn, Reddit), optimize performance, iterate fast, and drive demos and revenue.