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

Own implementation, maintenance, and optimization of client eligibility and claims data feeds. Analyze feed performance, troubleshoot discrepancies, produce error reports, test integrations with external partners, and improve internal tools, documentation, and processes to increase automation and reliability.

The Senior Technical Recruiter will manage full-cycle recruiting, build talent pipelines, partner with stakeholders, and enhance candidate experience in a remote environment.

Develop and operate production ML and AI systems powering patient experiences such as matching, ranking, recommendations, onboarding, and personalization. Build reusable ML infrastructure, pipelines, evaluation, observability, and model-serving capabilities. Provide technical leadership across the ML lifecycle, guide architecture, evaluate custom versus foundation-model approaches, and partner with ML and Patient Engineering teams to deliver reliable, scalable AI products.

Leads the AI Engineering team across applied AI features and foundational ML infrastructure. Responsibilities include managing Senior and Staff engineers, hiring and coaching, deploying LLM-powered capabilities, building MLOps and AI observability platforms, balancing product delivery with platform investment, and ensuring privacy, compliance, evaluation rigor, and clinical safety in production systems.

Manage enterprise SaaS renewals by protecting and expanding annual recurring revenue. Develop renewal strategies, negotiate commercial terms, prepare offers, structure upgrades and Flex conversions, manage contracts, research customer utilization, forecast renewals, and mitigate account risks. Partner with enterprise sales teams and customer value architects while serving as a subject matter expert on subscription renewals and sales processes.

Manage enterprise SaaS renewals by protecting and expanding ARR, developing renewal strategies, negotiating commercial terms, preparing offers, and driving timely contract execution. The role partners with field sales and customer value teams, researches license utilization, structures Flex and upgrade scenarios, manages contract processes, identifies renewal risks, maintains accurate forecasts, and advises sales teams on renewal policies and subscription management.

Manages enterprise SaaS renewals by protecting and expanding recurring revenue, developing renewal strategies, negotiating commercial terms, preparing proposals, and driving contract execution. Researches license utilization, structures renewal and upsell scenarios, manages Flex activations, forecasts renewal risks, and partners with field sales and customer value teams. Serves as a subject matter expert on subscription renewals, sales processes, and business policies while using AI to improve workflows and decision-making.

Prospect hospitals, health systems, and medical groups through phone, email, and social channels. Research accounts, identify decision-makers, qualify inbound and outbound opportunities, schedule discovery calls and demos, and document activity in Salesforce. Partner with sales teams on territory and expansion strategies, communicate Hospital Solutions’ value, manage funnel metrics, and consistently meet or exceed meeting and pipeline quotas.

As a Staff Site Reliability Engineer, you'll oversee Zscaler production data center services, optimize code, and ensure cloud service availability and performance. Collaborate with cross-functional teams to improve processes and resolve escalated issues.

Leads Data Security product growth across the AMS region by driving sales strategy, supporting technical and commercial opportunities, enabling field teams, and translating customer insights into product strategy and roadmap improvements. The role covers competitive analysis, pricing, pipeline and churn analysis, customer escalations, deployment support, and data-driven business updates. It focuses on AI-powered data security products, including DLP, DSPM, and AI security solutions.

Leads advanced systems engineering across the product lifecycle, including requirements decomposition and traceability, system architecture, concept of operations, integration, verification, validation, milestone reviews, technical risk mitigation, and multidisciplinary program leadership. Serves as a systems engineering subject matter expert, mentors engineers, leads enterprise-wide initiatives, and shapes technical strategy and engineering methodologies.

Leads Integrated Master Schedule development and maintenance for complex programs, performing critical path, variance, rolling wave, and schedule risk analyses. Prepares executive reports and briefings, incorporates contractual changes, supports Earned Value programs, and ensures DCMA-compliant schedule baselines. Collaborates with program stakeholders and customer SMEs, analyzes data, manages contract schedules, and mentors team members.

Develops and maintains Integrated Master Schedules for aerospace programs, performing critical-path, variance, and schedule-risk analyses. Incorporates contractual changes, maintains schedule baselines, gathers cross-functional data, and prepares reports and presentations for program leadership. The role requires strong analytical, communication, scheduling, project-management, and advanced Excel skills, along with knowledge of DCMA compliance and integrated schedule best practices.

Develops and leads complex hybrid infrastructure solutions in a field-based technical pre-sales role. Provides customer consultation, architecture, optimization, assessments, proposals, RFP responses, and executive-level technical guidance. Builds strategic customer relationships, leads solution visioning, mentors technical teams, supports business development, and contributes to go-to-market initiatives. Requires extensive hybrid infrastructure expertise, strong communication and presentation skills, executive influence, and willingness to travel.

Sells cybersecurity services and products through strategic account planning, consultative selling, relationship development, opportunity management, forecasting, and full sales-cycle execution. Builds customer and partner relationships, achieves revenue and profit targets, coordinates internal security and services teams, develops market opportunities, supports events and thought leadership, and mentors entry-level executives. Requires extensive enterprise security sales or practitioner experience and mastery of at least seven security focus areas.

Own and improve the core learner platform to increase learning rate, retention, and engagement at scale. Prioritize an AI-first roadmap, ship AI-assisted features (AI Tutor, AI Grader), define outcome metrics, run experiments, and collaborate with Curriculum, Learning, and Engineering to deliver high-quality, engaging learner experiences.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Provides data analytics consulting for enterprise clients using Dynatrace observability, digital experience monitoring, and business analytics data. Manages client relationships, performs ad hoc analysis, creates reports and dashboards, presents findings to technical and executive audiences, configures tools, trains users, and influences product improvements. The role translates complex performance and engagement data into strategies that improve digital experiences and business outcomes.

Develop and operate scalable DNS control-plane software and APIs for DigitalOcean’s network products. Responsibilities include implementing, testing, optimizing, and monitoring distributed services; collaborating across networking teams; supporting existing products; improving development tooling and processes; and establishing software architecture and engineering best practices. The role requires experience with Go, databases, APIs, Linux systems, high-performance applications, cloud development, containerization, virtualization, CI/CD, and DNS or networking.

Design, build, test, and optimize scalable control-plane and data-plane network services and tools. Develop APIs, improve reliability and performance, support cloud products, establish engineering best practices, collaborate across teams, and mentor engineers. The role focuses on distributed systems, networking, observability, containerization, and production-ready software delivery.

Design, develop, and optimize high-performance network datapath software for cloud infrastructure. Build packet-processing, forwarding, routing, filtering, tunneling, load-balancing, observability, and hardware-accelerated networking solutions. Analyze and improve throughput, latency, CPU efficiency, scalability, and reliability across Linux, kernel, user-space, and hardware systems. Lead technical designs through production, investigate complex networking issues, write architecture documentation, collaborate across engineering teams, and mentor engineers.