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

Owns operational readiness for an existing SaaS product portfolio and partner-enabled offerings. Establishes readiness frameworks, standardizes release and enablement processes, coordinates cross-functional execution, manages third-party partner alignment, and incorporates customer feedback into planning. Tracks readiness, efficiency, and partner metrics while communicating risks and dependencies to stakeholders. This remote individual contributor role requires influencing teams without direct authority and includes occasional travel.

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 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.

Own end-to-end customer deployments of AI and edge platforms across hardware, networking, sensors, data systems, and applications. Integrate customer OT/IT environments, diagnose cross-stack production issues, build deployment tooling, and translate field learnings into repeatable patterns and product improvements. The role requires strong engineering judgment, customer collaboration, autonomy, and 25–50% travel.

Define scalable deployment patterns, playbooks, success frameworks, and KPIs that improve customer ROI, adoption, time-to-value, and repeatability. Advise customer and partner executives, lead deployments, identify delivery friction, and collaborate with engineering, product, field, and commercial teams. Create field-grounded blogs, white papers, use cases, customer stories, and enablement materials using AI tools. The role requires 25–50% travel and strong technical fluency across infrastructure, security, networking, data systems, and applied AI.

Develop and document enterprise-grade SaaS platform functionality while improving quality and performance. Responsibilities include full-stack development, functional and unit testing, defect triage, code reviews, API and process documentation, operational support in regulated environments, and collaboration within Agile and DevOps teams. The role requires expertise in C#, ASP.NET Core, T-SQL, Entity Framework Core, web technologies, software design, debugging, distributed architectures, and high-performance APIs.

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.