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

Generate qualified meetings for Account Executives by building and executing phone-first outbound campaigns targeting private and independent high schools. Responsibilities include account mapping, researching decision makers, cold calling, personalized email and LinkedIn outreach, CRM management, rigorous qualification, and collaboration with sales and marketing. The SDR will also develop AI-assisted prospecting workflows, document effective sales sequences, and help establish the company’s go-to-market motion in a new education segment.

Manage a portfolio of 20–25 technical SaaS customers across onboarding, adoption, renewals, and expansion. Build success plans, connect product usage to business outcomes, advise customers on QA and automated testing, engage technical and executive stakeholders, manage risks and escalations, and partner with Sales, Product, and Engineering. Own renewal and expansion forecasting while delivering net and gross dollar retention targets.

Build and operate production data and streaming systems across edge, hybrid, OT, IoT, and enterprise environments. Responsibilities include developing connectors, real-time event-driven pipelines, data contracts, schemas, validation, lineage, observability, telemetry, federated query patterns, and reliable integration platforms supporting analytics and AI. The role requires strong ownership, system design, documentation, incident readiness, and collaboration with engineering and customer-facing teams.

Own fleet-scale infrastructure and SRE architecture for an edge platform supporting thousands of devices. Lead reliability, scalability, secure lifecycle management, observability, incident response, upgradeability, and operational standards. Serve as technical owner during high-severity incidents, drive root-cause remediation, apply AI to operations, and coordinate cross-domain initiatives spanning software, hardware, networking, security, data, and AI runtime. Mentor senior engineers and provide architectural leadership across the organization.

Owns end-to-end customer deployments of AI and edge systems, including hardware, networking, sensors, data flows, integrations, and production inference. The role requires diagnosing cross-stack issues, building reusable deployment patterns, collaborating with customer and partner engineering teams, and translating field learnings into product improvements. It involves 25–50% travel and hands-on work across infrastructure, security, containerized software, and operational environments.

Provides expert technical guidance to customers adopting and scaling cloud-native platforms. Responsibilities include architectural advising, platform implementation support, troubleshooting distributed systems, reviewing code, collaborating with engineering and sales teams, contributing to open-source projects, and maintaining strong customer relationships. The role requires Kubernetes experience, programming knowledge, technical communication skills, and empathy in high-pressure support situations.

Own the full technology stack for an AI food assistant, taking an iPhone app from internal testing through beta and scale. Responsibilities include backend and mobile development, architecture, infrastructure, deployments, monitoring, AI feature reliability, catalog and personalization systems, creator and internal tooling, App Store releases, security, and engineering standards. The role also involves product decisions, household research, technical leadership, and end-to-end ownership in a founding-team environment.

Build and operate production-grade private AI platform capabilities, including agentic and multi-agent workflows, orchestration, evaluation, monitoring, fine-tuning, runtime optimization, safety controls, APIs, and rollback mechanisms. Partner with data and infrastructure teams to improve reliability, performance, and deployment quality. Senior engineers also mentor teammates, review designs, and lead major platform components.

Own the technical aspects of enterprise airline deals from qualification through deployment and expansion. Design integration and cloud architectures, lead demos and proofs of concept, respond to RFPs and security questionnaires, review technical contracts, and ensure customer commitments align with engineering capabilities. Build reusable technical assets, support adoption, and communicate customer requirements to product and engineering teams.

Build and operate production AI platform capabilities, including agentic and multi-agent systems, evaluation and monitoring frameworks, fine-tuning workflows, inference optimization, safety controls, APIs, and rollback mechanisms. Partner with data and infrastructure teams to deliver reliable, scalable AI services while balancing latency, cost, GPU utilization, and operational risk. Senior engineers also mentor teammates, review designs, and raise engineering standards.