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

Leads Synapse Health’s HR technology strategy, HRIS roadmap, compensation philosophy, benchmarking, pay equity, and salary structures. Oversees a Compensation Analyst, builds scalable People shared services, manages HR technology and benefits vendors, and automates manual workflows. Partners with the Chief People Officer on executive-level compensation recommendations and AI enablement while driving system implementations, integrations, process improvements, and workforce-ready operating models.

The Director will translate people strategy into structured programs and transformation initiatives. Responsibilities include building project management practices, leading employee engagement and performance management strategies, managing organizational change, developing People team playbooks, enabling AI-supported workflows, advancing culture initiatives, and redesigning scalable People operations. The role partners with senior leaders, People Partners, Learning and Development, and Communications to improve organizational effectiveness and execution.

Lead end-to-end client AI transformation engagements: discover and frame executive problems, design and build production-credible PoAs (data pipelines, integrations, LLM/RAG apps) within 2–3 weeks, present to executives, hand off to delivery, mentor junior FDEs, and convert PoAs into full engagements.

Manages end-to-end financial coordination for a large data center facilities management account. Responsibilities include financial reporting, variance analysis, budgeting, forecasting, billing, revenue recognition, month-end close support, vendor cost management, contract compliance, audit readiness, accounts receivable, and KPI-linked reporting. The role partners with operations, service delivery, business development, vendors, and client finance teams while improving data integrity, reporting efficiency, and financial processes.

Build and evolve Seastack’s data center optimization platform across backend services, data models, frontend interfaces, and infrastructure. Develop Python and FastAPI APIs; create React, Next.js, and TypeScript experiences; manage ClickHouse and MongoDB schemas; contribute to Azure-based DevOps, CI/CD, observability, reliability, and scalability. Collaborate with product and data science teams, lead technical reviews, translate requirements into system designs, mentor teammates, and perform code reviews.

Supports sales representatives with post-sale account management, customer support, order tracking, renewals, contract follow-up, and issue resolution. Maintains CRM and case records, coordinates with internal teams, assists with quotes and onboarding, identifies upsell and cross-sell opportunities, communicates product updates, and monitors service KPIs. The role focuses on strengthening customer relationships and improving the overall account experience.

Owns enterprise workforce intelligence and employee listening strategy. Analyzes employee sentiment, workforce trends, talent, skills, organizational effectiveness, and work data to identify risks and opportunities. Develops dashboards, analytical methodologies, AI-enabled insight products, and self-service resources. Partners with HR leaders and data owners to translate complex quantitative and qualitative findings into actionable recommendations for workforce planning, succession, organization design, automation, and capability decisions.

Leads enterprise talent processes across assigned operating companies, including talent reviews, succession planning, capability reviews, data governance, and mobility initiatives. Advises HR leaders on talent risks and practical solutions, facilitates executive discussions, translates analytics into recommendations, and drives process adoption and continuous improvement. Partners with Talent Acquisition and Talent Enablement to address workforce and capability needs in a global, matrixed environment.

Own the system-level architecture and integration of automated robotic parking hardware. Define interfaces, requirements, configuration controls, supplier specifications, acceptance criteria, and building interfaces. Lead integration across mechanical, electrical, controls, software, safety, and operations, including industrial protocols such as VDA5050, Modbus, OPC UA, and CAN. Troubleshoot deployed systems, manage supplier conformance, support field resolution, and provide technical leadership while remaining an individual contributor.

Supports the design and progressive ownership of Azure-based SaaS integrations, centralized data repositories, automated ETL/ELT pipelines, Power BI data models, and secure cloud workflows. Develops automation using Python, JavaScript, and JSON; troubleshoots APIs and authentication issues; documents integration processes; and collaborates with stakeholders. The role is intended for an early-career cloud engineer who will grow toward independently managing cloud data architecture and integration solutions.

Prospect and close new enterprise business across the West region. Responsibilities include outbound prospecting, managing the full sales cycle, conducting demos and proofs of concept, negotiating proposals, meeting sales targets, maintaining Salesforce pipeline forecasts, processing quotes and orders, and communicating the value of Grafana Cloud and Grafana Enterprise. The role requires infrastructure technology sales experience and a consultative, technical sales approach.

Lead frontend engineering initiatives for Grafana’s DataViz squad, from problem framing through rollout and measurement. Build and improve visualization features using TypeScript, React, uPlot, and eCharts; mentor engineers; contribute to design reviews and technical proposals; participate in on-call and incident response; support customer escalations; and collaborate across squads. The role also emphasizes open-source contribution, observability expertise, pragmatic AI-assisted development, and effective remote communication.

Lead negotiation and execution of complex enterprise SaaS, on-premises, privacy, security, professional services, and channel agreements. Partner with sales leadership and cross-functional teams on deal strategy, risk assessment, pricing, compliance, and global expansion. Improve legal forms, playbooks, workflows, and contract processes while advising on privacy initiatives and training business teams. Serve as a strategic, commercially minded legal advisor for high-value transactions with sophisticated enterprise customers.

Designs, builds, and operates enterprise automation across IT, business processes, infrastructure, and data operations. Develops Python and PowerShell solutions, AI-powered agentic workflows, RPA, API integrations, orchestrated pipelines, infrastructure-as-code, and CI/CD automation. Supports Azure Government and AWS GovCloud environments, monitoring, observability, self-healing, compliance documentation, and root-cause analysis. Partners with cross-functional teams to identify automation opportunities, evaluates emerging AI tooling, and mentors others on automation practices.

Designs, engineers, and modernizes secure enterprise networks across corporate, manufacturing, aerospace, defense, classified, and mission-support environments. Leads network discovery, architecture, routing and switching design, migrations, implementations, integrations, testing, documentation, resiliency, and operational handoff. Partners with cybersecurity, cloud, infrastructure, vendors, and business stakeholders to deliver scalable solutions meeting compliance requirements including CMMC, CUI, and ITAR. Provides technical leadership, troubleshooting, mentoring, and architectural standards without direct personnel management.

Design, integrate, commission, troubleshoot, and sustain robotic and automated mechatronic systems for solid rocket motor and energetic materials manufacturing. The role integrates robots, PLCs, sensors, actuators, software, and data pipelines; develops validation documentation; improves production reliability and throughput; and applies root-cause analysis in a regulated manufacturing environment. Collaboration with manufacturing, process engineering, safety, and compliance teams is required, along with occasional domestic travel and adherence to ITAR and explosives-related requirements.

Leads ServiceNow development initiatives, directing developers and delivering platform enhancements, Agentic AI workflows, Now Assist capabilities, ITSM and ITOM solutions, CMDB governance, Service Operations Workspace, custom applications, and REST-based enterprise integrations. Provides technical leadership, customer demonstrations, solution design, troubleshooting, mentoring, stakeholder collaboration, and methodology improvements while supporting Agile testing and deployment.

Designs, deploys, maintains, and secures cloud solutions across AWS, Azure, GCP, and OCI. Develops automation using Bash, PowerShell, and Python; monitors and tunes cloud platforms; maintains documentation and operating procedures; advises implementation teams; supports migrations and infrastructure buildouts; resolves escalations; and collaborates with internal and external stakeholders.

Lead and facilitate an Agile Release Train across multiple teams. Coordinate PI Planning, Scrum of Scrums, dependencies, risks, impediments, metrics, reporting, and stakeholder alignment. Coach teams in SAFe practices, continuous improvement, governance, compliance, and end-to-end traceability from requirements through release. Synchronize reporting and application development teams, including database and schema changes.

Join Azure PostgreSQL to design, implement, and test features in a relational database engine (query processing, logging, storage, IO, scale-out). Collaborate with stakeholders, write maintainable code, define test plans, operate live services (on-call), and contribute to open-source PostgreSQL and Linux.

Lead the vision, strategy, roadmap, and global execution of AI-powered learning and workforce skilling products. Manage and mentor product managers, collaborate with engineering, design, research, marketing, and customer teams, and drive products from customer insight through launch and scale. Build AI-native experiences, improve product adoption and metrics, foster inclusive team practices, and deliver measurable outcomes for millions of learners.

Drives technical execution and engineering excellence across Azure AI infrastructure delivery, including provider buildout, engineering readiness, validation, Dock-to-Live activities, and customer onboarding readiness. Develops telemetry, metrics, dashboards, automation, AI-powered systems, and agentic workflows to improve predictability, reduce operational toil, resolve technical bottlenecks, and accelerate deployment of customer-ready cloud capacity. Partners with engineering and provider teams and communicates risks and recommendations to technical and executive stakeholders.