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

The Data Scientist develops predictive models, segmentation frameworks, machine learning solutions, data pipelines, and experiments supporting marketing and customer analytics. The role analyzes complex datasets, validates and monitors models, communicates insights to technical and executive audiences, and partners with strategy, media, client services, and engineering teams to deliver scalable data-driven solutions.

Drive client adoption, implementation, and delivery of Shibumi SaaS solutions. Configure applications to meet business requirements, translate client artifacts into solution structures, coach and train customers and partners, support pre-sales demonstrations and RFX responses, and manage multiple engagements. Use AI tools responsibly for analysis and productivity while protecting confidential client data.

Own and evolve WorkOS’s internal data platform, including ingestion, orchestration, Snowflake, dbt models, data governance, reverse ETL, semantic views, and AI-enabled data workflows. Ensure pipeline reliability, freshness, security, and scalability while partnering with Product, Finance, RevOps, GTM, Engineering, and Security. Build monitoring, runbooks, CI/CD gates, access controls, masking policies, and infrastructure automation across AWS and Kubernetes.

Coordinate and confirm appointments between clients and security professionals; answer calls, emails, and messages; manage scheduling software and availability; send reminders and follow-ups; maintain accurate records; protect confidential client information; provide professional customer service.

Coordinates people operations, performance-management, leadership development, employee training, succession planning, and workforce programs. Builds repeatable workflows, tracks deadlines, certifications, development plans, and personnel data, and ensures managers follow through. Partners with leadership and subject-matter experts to organize programs, improve reporting, maintain accurate records, and escalate decisions requiring Personnel judgment.

Leads Year 15 LIHTC investment dispositions, investor exits, partnership restructurings, and ownership transfers. Analyzes partnership agreements, entity structures, tax impacts, valuations, waterfalls, NPV, and financial models. Coordinates due diligence and negotiations with investors, developers, syndicators, legal counsel, and internal teams while managing transaction risks and supporting affordable housing preservation. Prepares investment committee materials and recommendations for senior leadership.

Administer Sovrn’s global total rewards programs, including benefits, leave, retirement, compensation, incentives, and payroll across the US and Europe. Manage HRIS and rewards-platform data, vendors, compliance, annual compensation cycles, market pricing, and employee support. Improve processes through automation and AI tools while partnering with People, Finance, Accounting, employees, managers, and external providers.

Executive leader overseeing account management, strategic client relationships, renewals, retention, expansion, and net revenue retention. Leads account managers, establishes performance standards and KPIs, manages executive escalations, negotiates contracts, develops strategic account plans, and partners with Sales, Product, Marketing, Clinical, and Operations teams. The role drives client satisfaction, revenue growth, risk mitigation, and service delivery while presenting outcomes to senior leadership. Regional travel of 30%–35% is required.

Leads large-scale enterprise application development, modernization, and sustainment programs. Oversees Agile teams, program governance, schedules, budgets, risks, resources, stakeholder communications, cloud modernization, DevSecOps, AI, user adoption, and cybersecurity compliance. The role coordinates technical and business stakeholders, manages Appian and Google Cloud initiatives, drives continuous improvement, and ensures delivery quality, security, performance, and alignment with government objectives.

Own end-to-end financial data analysis, including SQL and dbt data modeling, Looker dashboard development, data quality validation, reconciliation, and stakeholder-facing insights. Partner with Finance and Payments to support reporting, planning, revenue analysis, cost insights, and transaction-level analytics. Translate ambiguous business needs into reliable technical solutions while improving documentation, QA, modeling, and data architecture practices.