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

Own the strategy, requirements, metrics, and user experience for an AI-powered school scheduling optimizer. Partner with engineering on algorithms, model builders, orchestration, experiments, and generative AI capabilities. Engage school customers, define optimization quality measures, communicate tradeoffs, prioritize enhancements, and guide roadmap execution for improved schedule feasibility, quality, and usability.

Provides Tier 1 production support for enterprise applications, point-of-sale systems, databases, ETL jobs, and data integrations. Troubleshoots incidents using logs, metrics, traces, and SQL; monitors platform health; documents resolutions; communicates with dealers and internal stakeholders; escalates complex issues; supports testing, deployments, configuration changes, and preventive improvements. Maintains knowledge articles and helps users resolve common operational issues.

Leads and builds the mid-market business development function, owning territory strategy and the full sales cycle for pharma and biotech accounts. Develops and coaches a high-performing BD team, drives pipeline and new-logo acquisition, closes multi-year SaaS deals, and partners with marketing, strategy, product, and commercial operations. Represents the company at industry events and contributes to commercial frameworks, forecasting, segmentation, and coverage models.

Provides RMF, ISSM, cloud security, application security, and compliance support for DHA medical devices and systems. Responsibilities include developing and maintaining SSPs, ATO packages, SCAs, and POA&Ms; conducting continuous monitoring and vulnerability analysis; applying NIST, DoD, and DISA requirements; securing cloud, container, IAM, CI/CD, and DDIL environments; and advising technical and government stakeholders.

Own a strategic territory and lead complex enterprise software sales cycles from prospecting through close. Build pipeline, conduct value-based presentations, develop financial business cases, coordinate Customer Success, Solutions Consultants, and partners, and advise senior executives across Commercial, Insurance, and Financial Services sectors. The role requires consistent quota achievement, net-new logo acquisition, and expertise selling complex software solutions.

Leads a team of data engineers responsible for building and scaling Niche’s data platform. Oversees data pipelines, warehouse layers, platform reliability, data quality, monitoring, and engineering best practices. Manages roadmap execution, Agile rituals, cross-functional collaboration, hiring, mentoring, and career development. The role also drives process improvements, operational excellence, scalability, and delivery of secure, observable data solutions supporting analytics, reporting, content, and operational systems.

Leads global automation engineering projects from concept through deployment, including capital planning, technology evaluation, equipment development, installation, commissioning, and operational handover. Collaborates with global cross-functional teams and suppliers while managing scope, schedules, budgets, risks, safety, quality, and regulatory compliance. Advances Industry 4.0, robotics, AI/ML, IoT, digital twin, and automated material-handling solutions to improve repair operations, reliability, sustainability, and efficiency.

Analyze large and complex datasets, build statistical and machine learning models, develop data workflows, enrich datasets, and create analytical solutions for business stakeholders. The role includes writing SQL and Python scripts, optimizing model performance, supporting dashboard development, collaborating with data and BI teams, and documenting models and pipelines. This is a fully remote U.S. position focused on delivering analytics applications through Seek’s cloud platform.

The Enterprise Account Executive drives new business growth in large sports organizations, owning the full sales cycle and engaging C-level stakeholders to exceed revenue targets.

Own the enterprise AI technical strategy, including model, vendor, platform, architecture, cost, security, and reliability evaluations. Establish AI standards, reference architectures, governance processes, and usage and spend visibility. Advise executives and engineering teams, assess AI risks, and partner with Risk, Compliance, and Legal. Prototype and validate LLM, API, agent, and RAG capabilities through working code, scaling productive experiments into reliable organizational capabilities.