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

Execute on-brand marketing visuals across email, social, paid media, landing pages, blog content, partnerships, and integrated campaigns. Maintain templates and asset libraries, incorporate feedback, meet deadlines, and support the visual identity in a fast-paced remote environment.

Design, build, and maintain scalable ETL/ELT data pipelines and data platform architecture. Build programmatic pipelines (primarily Python), optimize analytical data models (SQL), integrate sources into Snowflake, use orchestration/transformation tools (dbt, Airflow, Dagster), improve data quality/observability, and partner with product, engineering, and analytics to deliver reliable data for decision-making.

Lead design and delivery of customer-specific cloud networking enablement programs. Architect multi-cloud labs and curriculum, run high-stakes workshops, partner with Sales and Professional Services, and evolve AI-driven training content based on field signal. Serve as technical authority for enterprise customers during pre- and post-sale engagements.

Own end-to-end technical relationships for enterprise customers: lead onboarding and complex implementations across cloud data warehouses, drive adoption and expansion, deliver executive QBRs, build AI-powered automations and internal tooling, and enable agentic AI workflows to reduce engineering dependency and accelerate marketing outcomes.

Lead paid media growth strategy and execution for DTC clients, scaling Meta spend efficiently at volume. Own full-funnel strategy across Meta, Google, and TikTok, drive creative strategy, manage senior client relationships, and develop a team of analysts and creative strategists to deliver durable, profitable growth.

The Senior Sales Executive develops sales strategies, manages relationships with channel partners, and drives revenue in the industrial and cybersecurity sectors.

Lead architecture and execution of Faire's data platform and analytics capabilities. Build and operate scalable, secure ETL/ELT, streaming, storage, compute, orchestration, and data warehousing at petabyte scale. Drive performance, cost, monitoring, governance, and self-serve analytics; influence cross-functional teams and mentor engineers.

The Backend Engineer will develop infrastructure for product integration, create documentation for team training, and influence technology decisions.

Lead end-to-end onboarding for PEO clients: build implementation plans for payroll, benefits, tax registrations and HR compliance; manage timelines, parallel payroll reconciliations, platform adoption, cross-functional handoffs, and continuous improvements to implementation tooling and documentation.

Build and productionize AI systems for logistics: multi-agent copilots, forecasting/optimization models, evaluation and observability, continuous learning loops, and operational reliability. Mentor engineers and make build-vs-rule tradeoffs while shipping high-impact ML services.