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

Provides administrative support for clients and staff by managing phones, calendars, mail, office supplies, reports, workflow tracking, tax-return files, e-file authorizations, and payments. The role requires professional client service, strong organization, attention to detail, software proficiency, and the ability to manage multiple priorities during busy seasons. Occasional post-office trips and lifting up to 40 pounds may be required.

Develops and deploys machine learning systems for high-stakes decisions in pricing, claims, underwriting, and predictive health. Responsibilities span problem framing, quantitative research, experimentation, causal inference, predictive modeling, multimodal and foundation model development, agent systems, production deployment, and ongoing iteration. The role requires strong mathematical and statistical foundations, Python fluency, and expertise in machine learning, statistics, econometrics, or causal inference.

Design and implement enterprise data and lakehouse architectures for client data, cloud, and AI transformation initiatives. The role requires hands-on expertise with Databricks, Azure, GCP, Spark/PySpark, SQL, Unity Catalog, governance, Terraform, and CI/CD. Responsibilities include client-facing solution architecture, clear communication, and delivery of scalable analytics solutions. Databricks Champion status is mandatory, while DPP experience is preferred. Immediate or 30-day-or-less availability is preferred.

Leads hands-on content and product marketing across positioning, messaging, competitive narrative, customer proof, SEO/AEO content, organic social, email nurture, sales enablement, and campaign creative. Writes and edits high-converting content, directs AI-assisted workflows using Claude, develops memorable brand campaigns, and collaborates closely with the VP of Marketing in a lean B2B SaaS environment.

Build and ship P-1 AI’s core product platform for Archie, an AI engineering agent. Own end-to-end features spanning architecture, backend, frontend, deployment, and reliability. Collaborate with AI researchers, forward-deployed engineers, founders, and customers to rapidly prototype, launch, and refine product concepts. Establish advanced AI-assisted development practices and continuously improve engineering workflows, product quality, and delivery speed.

Build and validate AI-native tooling for utility power-engineering and go-to-market teams. The role combines customer discovery, workflow analysis, Python and SQL development, data investigation, prototypes, integrations, debugging, and production-quality software. You will partner with Product and Engineering, dogfood tools on live customer problems, define requirements and quality standards, lead rollout and adoption, train users, and establish the company’s forward-deployed engineering operating model. Regular customer and U.S. team travel is required.

Build and deploy computer vision and machine learning solutions for power grid infrastructure, including defect detection, thermal anomalies, vegetation monitoring, and intrusion surveillance. Responsibilities span research implementation, model experimentation, error analysis, data pipelines, experiment tracking, model serving, testing, monitoring, and client delivery. The role requires productionizing models, adapting research papers, optimizing architectures, and independently owning projects from problem definition through deployment.

Own frontend architecture for multi-tenant applications serving internal, customer, and partner audiences. Build React and TypeScript interfaces, shared component libraries, theming and branding systems, accessible user experiences, and integrations with governed APIs. Establish engineering standards, document technical decisions, navigate open architecture questions, and support workflows ranging from immediate interactions to longer approval processes involving sensitive or regulated data.

Lead Enformion’s channel sales and strategic partnership program across the United States. Manage reseller relationships, identify upsell and cross-sell opportunities, develop new partnerships, negotiate and originate channel deals, oversee onboarding and renewals, deliver QBRs, monitor partner health, and achieve revenue quotas. The role combines partner strategy, account management, sales execution, executive communication, and cross-functional collaboration with Customer Success, Product, Accounting, and Engineering.

Own the technical sales cycle for Databricks consulting engagements, including discovery, architecture design, solution scoping, estimation, proposals, demos, proofs of concept, workshops, and statements of work. Design lakehouse, data engineering, analytics, governance, security, and AI architectures. Partner with sales, Databricks, alliance, and delivery teams while ensuring effective handoffs into implementation.