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

The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.

The Senior Quantum Lab Project Manager oversees project teams for Bio-Pharma clients, coordinating scope, cost, and schedules while ensuring client objectives are met.

Lead and build Maze's channel function from scratch: recruit and activate resellers/VARs, drive cloud marketplace partnerships (AWS/Azure/GCP), test new partner models (investor/PE referrals), run partner co-marketing/co-selling, and align partner motions with sales to generate channel-sourced pipeline and ARR.

The role involves leading the architecture and implementation of hypervisor features, mentoring engineers, and driving technical vision for Lynx's Mosaic platform.

Assist LOA Specialists with LOA documentation, manage case queues, research legislative changes, and train stakeholders on LOA processes and laws.

Manage full G/L accounting operations including day-to-day transactions, job costing, accruals, month-end and year-end close, financial statements, bank reconciliations, payroll/timesheet oversight, invoicing, unearned revenue schedules, and support DCAA compliance while collaborating with operations and external tax advisors.

Lead the quality engineering efforts for Replicant's AI platform by defining standards, improving testing strategies, and mentoring a QA team to ensure high-quality outputs across software systems.

Generate and qualify leads through research and outreach; engage prospects via phone, email, and social; schedule meetings and demos for Account Executives; maintain CRM records (Salesforce/HubSpot); collaborate with Marketing, Sales, CS, and RevOps to refine messaging and outreach; develop account plans for target districts; occasionally support marketing and customer success tasks.

Lead incident response as Incident Commander for critical security events, perform threat hunting and forensic analysis, build detections and telemetry across endpoint, identity, cloud, and network, run tabletop exercises and purple/red team activities, automate detection and response workflows, collaborate with engineering and risk teams, and translate findings into executive metrics and risk reduction strategies.

Build and productionize GenAI features: design experiments, evaluation suites, advanced RAG and reasoning pipelines, oversee SFT/LoRA tuning, and optimize quality-cost-latency trade-offs for reliable, user-focused AI products.