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

Sell Databricks’ Data and AI platform to enterprise sports organizations. Responsibilities include developing account strategies, penetrating new accounts, engaging executives, allocating internal resources, closing new business, growing consumption, exceeding sales targets, and communicating strategy to senior leadership. The role requires experience selling technical cloud, big data, SaaS, and consumption-based solutions, along with value-selling expertise and a proven record of exceeding quotas.

Own day-to-day execution of Databricks’ global Meetings at Events program, including meeting intake, event logistics, contractor oversight, reporting, enablement, communications, documentation, and on-site support. Manage operational tools, dashboards, meeting outcomes, playbooks, and event workstreams while partnering with Sales, Marketing, Product, and Event Tech to improve processes and track performance.

Owns the commercial success of Databricks training and enablement offerings across enterprise accounts in the Americas. Partners with sales, customer success, professional services, and technical teams to diagnose skill gaps, design tailored learning plans, sell and deliver training programs, and measure adoption, renewal, revenue, and business impact. The role also influences executive stakeholders, develops scalable enablement frameworks, mentors colleagues, and identifies new opportunities for customer talent transformation.

Lead strategic compensation for R&D and engineering teams, partnering with founders and executives on cash, equity, retention, hiring, and promotion decisions. Design specialized incentive models, manage global merit and equity cycles, develop market pricing and pay-for-performance frameworks, and scale compensation operations. Apply quantitative analysis and automation to support complex compensation cases, executive hires, retention strategies, and M&A integrations.

Lead the design, deployment, reliability, and evolution of global unified communications, enterprise voice, conferencing, AV, and workplace technology infrastructure. Support office expansions, executive environments, and large-scale deployments; troubleshoot complex communication systems; build automation and operational tooling; coordinate vendors and cross-functional teams; establish scalable standards and documentation; and mentor engineers.

Own customer-facing AI and data engagements from discovery through production launch. Define business value, MVPs, success criteria, and product requirements; prioritize engineering backlogs; lead technical discovery, architecture reviews, agile delivery, testing, production readiness, launch, adoption, and strategic handoff. Build C-suite relationships, translate business needs into technical requirements, resolve delivery risks, and identify future high-value opportunities.

Leads Databricks’ global customer enablement partnerships, owning strategy, operating models, commercialization, partner offerings, pricing, governance, quality standards, and revenue growth. The role coordinates Legal, Finance, Curriculum, Training Operations, Commercialization, and regional teams while scaling partner-led curriculum, certification, and delivery programs. It also develops regional capabilities, manages global partnership ecosystems, and champions AI-enabled expansion.

Leads technical customer engagements for Databricks strategic accounts, including discovery, solution architecture, platform demonstrations, proofs of concept, and technical strategy. Builds production-quality data solutions across engineering, analytics, and machine learning; presents technical differentiation; develops reusable assets; and partners with Account Executives to expand platform adoption and consumption.

Drive enterprise sales of Databricks’ Data Intelligence Platform to Fortune 500 and telecommunications accounts. Build executive relationships, expand usage across business units, manage strategic opportunities, exceed pipeline and revenue targets, forecast in Salesforce, and lead value-based solution selling. The role requires expertise in big data, cloud, SaaS, AI, and consumption-based sales motions, along with the ability to translate technical capabilities into business value.

Design and deploy production ML/AI architectures on the Databricks platform, lead Generative AI (LLM, RAG, agent) implementations, optimize and scale MLOps pipelines, provide technical pre-sales support, and translate customer feedback into product improvements while mentoring peers and meeting delivery milestones.