Top Tech Jobs & Startup Jobs in Austin, TX

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.

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.

Lead customer-facing technical discovery, solution architecture, proofs of concept, platform demonstrations, and architecture reviews for data engineering, analytics, and machine learning workloads. Develop account-level technical strategies with Account Executives, explain competitive differentiation, and build reusable notebooks, accelerators, and reference architectures. The role requires hands-on coding, cloud data platform expertise, distributed systems knowledge, strong presentation skills, and technical customer leadership.

Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.

Customer-facing technical leader who architects, builds, and optimizes large-scale data engineering and lakehouse solutions on Databricks. Supports pre-sales and delivery with POCs, performance/load testing, workload sizing, migrations, observability, and adoption through workshops and community engagement.