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

Advocate for open-source cloud networking and AI infrastructure projects through technical content, conferences, workshops, community engagement, and customer collaboration. The role advises prospects and users, develops best practices, gathers ecosystem feedback, and partners with product and engineering teams on roadmap decisions. It requires software engineering experience, deep knowledge of Kubernetes, service mesh, cloud networking, and agentic AI, plus an established technical presence across open-source communities and social platforms.

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.

Lead the strategy and execution of an integrated demand-generation engine for a B2B SaaS company. Own SEO, paid acquisition, website conversion, lifecycle marketing, analytics, attribution, content, agency relationships, and budget allocation. Build scalable marketing programs that convert PLG users, generate enterprise pipeline, and connect open-source adoption to revenue. Partner with Product, Sales, Design, and executives on positioning, campaigns, KPIs, and growth planning while mentoring future team members.

Build and operate core data infrastructure for edge and hybrid environments, including ingestion, OT/IoT integrations, real-time streaming, data contracts, schemas, validation, lineage, observability, telemetry, and scalable query access. The role requires production ownership, reliability practices, customer integration, and collaboration across engineering and customer-facing teams. Candidates should have 6+ years of experience with production data, streaming, or integration systems and proficiency in Python and/or Go.

Maintain and support platform environments across the software development lifecycle. Configure monitoring, alerting, and self-healing solutions; troubleshoot application and infrastructure issues with developers and testers; maintain technical documentation; design scalable architectural solutions; and mentor junior engineers. The role requires cloud, Kubernetes, operating system, database, scripting, configuration management, .NET, and AI/ML automation expertise.

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Build and maintain scalable UI, API, and backend test automation using Python, Robot Framework, Playwright, and Selenium. Integrate testing into Jenkins and CI/CD pipelines, develop Page Object Model scenarios, analyze quality metrics, and improve software reliability. Collaborate with engineering, architecture, product, and UX teams; mentor junior QA engineers; and use AI-assisted tools safely for test generation and maintenance. The role is remote and requires no regular travel.

Own supply strategy and operations for a multi-tier delivery service provider network. Build and manage DSP relationships, negotiate contracts and SLAs, source and onboard partners, establish performance scorecards, and improve delivery KPIs. Analyze operational data, lead cross-functional issue resolution, and create scalable playbooks for onboarding, incidents, and capacity surges.

Own the post-sale customer lifecycle for enterprise software customers by driving adoption, value realization, retention, and growth. Build executive relationships, develop customer success plans, coordinate cross-functional resources, resolve complex issues, communicate product value, and support renewals through metrics gathering, pricing, quoting, negotiation, and closure.

Build and maintain revenue operations data pipelines, dbt models, integrations, and GTM systems across Salesforce, Marketo, warehouses, and analytics platforms. Diagnose synchronization and schema issues, ensure data integrity, translate ambiguous business needs into data solutions, test end-to-end workflows, and collaborate with Sales, Marketing, Customer Success, Finance, and Engineering. The role also involves experimentation with AI tools, technical documentation, and managing multiple projects independently.