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

Optimizes sales operations, CRM and ERP workflows, process documentation, reporting, dashboards, and customer lifecycle operations. Partners cross-functionally with Sales, Customer Success, Finance, IT, Product, and Operations to improve data quality, automation, forecasting, order processing, subscription management, and operational efficiency. Analyzes performance metrics, identifies bottlenecks, and leads process improvement initiatives.

Build and deploy AI-powered enterprise tools, including agentic systems, MCP integrations, RAG pipelines, and workflow automations. Facilitate hands-on workshops and executive sessions, train technical and commercial audiences, assess AI readiness, develop adoption strategies, measure business impact, support proposals, and evaluate emerging AI models and architectures.

Senior QA Engineer responsible for designing and executing test strategies for Amazon Connect contact centers, building manual and automated Playwright/Cypress/Selenium suites across UI, API and serverless backends, validating migrations and production readiness, running UAT, incident triage, and mentoring junior QA engineers.

Own board-grade analytics deliverables for client engagements by transforming Salesforce pipeline data and BI outputs into executive narratives, presentations, and reusable reporting templates. Analyze pipeline, funnel, and revenue performance; explain variance; write causal commentary; present findings to PE sponsors and executives; and train client teams to maintain deliverables independently.

Own attorney and client relationships, coordinate case progress from intake to resolution, provide status updates, remove bottlenecks, and ensure timely, high-quality client communication and case velocity in collaboration with Legal Ops.

Lead and scale Automatiq’s offshore B2C support operation for secondary ticketing. Manage the BPO partner, staffing, training, workflows, escalation paths, service levels, quality, and multichannel consumer support. Oversee high-stakes event-day issues, establish performance metrics and reporting, protect the brand experience, and continuously improve operations as volume grows.

Build production software while working directly with customers on technical implementations, onboarding, integrations, debugging, and workflow automation. Partner with Sales, Customer Success, Product, and Engineering to translate customer needs into scalable product features. Own engineering projects from requirements through deployment, improve APIs and developer experience, and serve as a trusted technical advisor to enterprise customers.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Leads infrastructure engineering strategy, modernization, project delivery, automation, and operational readiness across hybrid AWS, Azure, on-premises, networking, identity, Microsoft 365, and endpoint platforms. Establishes engineering standards, architecture patterns, security and resilience practices, Infrastructure as Code, CI/CD, monitoring, documentation, and support handoffs. Manages infrastructure projects, vendors, budgets, risks, and executive communications while leading, coaching, and developing an infrastructure engineering team.

Lead architecture and development of embedded SSD firmware for next-generation storage products. Responsibilities include defining system architectures, translating customer requirements into features, coding in C/C++, testing and debugging, coordinating ASIC, hardware, validation, manufacturing, and firmware teams, and guiding technology roadmaps. The role requires expertise in NAND flash management, SSD firmware technologies, enterprise storage interfaces, firmware security, lifecycle processes, and technical leadership across multiple engineering teams.