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

Lead customer adoption of Databricks Data and AI solutions by designing distributed data architectures, building proof-of-concepts, validating cloud integrations, and presenting technical demonstrations. Provide escalated customer support, develop reference architectures and technical guides, evangelize Databricks open-source technologies, and collaborate with sales and internal teams. Travel to customers up to 30%.

Lead technical strategy for customer accounts by designing production-grade data, AI, streaming, and analytics architectures. Advise senior technical stakeholders, drive Databricks adoption and consumption, demonstrate competitive differentiation, orchestrate cross-functional resources, and provide product feedback. The role requires strong Python and SQL skills, distributed data systems expertise, public cloud deployment experience, and the ability to communicate technical solutions to technical and executive audiences.

Prospects and closes net-new enterprise accounts for Databricks’ cloud data platform. Develops account strategies, engages buying centers, identifies use cases, communicates technical and business value, orchestrates internal teams, negotiates deals, and exceeds sales quotas. The role requires SaaS, cloud, or big data sales experience, executive relationships, and the ability to sell complex technology to digital-native customers.

Leads strategic partnerships with cloud hyperscalers and neoclouds, negotiating bespoke commercial agreements and developing long-term growth opportunities. Collaborates with product, engineering, finance, sales, and marketing teams; builds executive relationships; creates data-driven business cases; influences product decisions; and establishes KPIs to measure partnership success. Requires extensive business development experience, cloud consumption-model expertise, strong analytical and presentation skills, and the ability to independently lead complex deals.

Build and maintain AI-native skills taxonomies, capability models, learning context, instrumentation, and APIs for Databricks employees, customers, and partners. Develop LLM-driven extraction, agentic pipelines, drift and gap detection, and live capability measurement. Partner across content, curriculum, certification, product, and enablement teams to ensure technical skills are consistently defined, assessed, and applied. Use Python, SQL, analysis, and clear writing to advance strategy as an individual contributor.

Leads joint marketing strategy and execution with AWS and AI/ISV partners, driving demand, pipeline, customer adoption, co-marketing campaigns, events, content, product launches, and customer proof points. Manages marketing development funds, partner budgets, governance, ROI reporting, and scalable regional campaign programs while aligning product marketing, partner management, solution architecture, and regional marketing teams.

Leads global product and GTM alliance enablement from strategy through execution. Builds sales plays, positioning, demos, competitive readiness, certification, AI-enabled content pipelines, and tooling that help sellers adopt new products, increase consumption, improve deal velocity, and raise win rates. Partners cross-functionally with Product, Marketing, Alliances, GTM, sales leadership, and subject-matter experts while establishing metrics, operating rhythms, and scalable enablement processes.

Leads the strategy, processes, and AI-native systems that personalize sales and sales development enablement by role, tenure, segment, industry, and region. Builds apps, agents, skills, content, and automated workflows; partners with global and regional enablement teams; pilots and iterates programs; establishes metrics and operating cadence; and influences senior sales leaders to improve ramp time, seller productivity, pipeline, and win rates.

Leads complex enterprise customer engagements as a technical authority for Databricks data and AI solutions. Drives architecture, platform adoption, consumption strategy, competitive positioning, and executive relationships. Designs large-scale data, streaming, migration, governance, and AI/ML solutions; orchestrates cross-functional teams; mentors other solutions architects; and contributes to technical thought leadership. Requires advanced coding, enterprise data architecture expertise, Databricks proficiency, strategic account leadership, and executive communication.

Leads the strategy and scaling of integrated marketing campaigns across demand generation, field, events, partner, and industry teams. Develops campaign frameworks, audience strategies, investment plans, channel activation standards, and regional requirements. Builds planning processes, templates, and feedback loops; translates campaign strategy into business requirements for campaign operations tools; and provides executive-level visibility into performance, investments, and campaign readiness.