Top Tech Jobs & Startup Jobs in Austin, TX

Own global accounts receivable month-end close, including subledger-to-GL reconciliations, AFDA/CECL modeling, accruals, reporting, and balance sheet integrity. Apply U.S. GAAP, maintain audit-ready workpapers and SOX controls, and partner cross-functionally across Order-to-Cash and Finance teams. Lead AI and automation adoption using Databricks and advanced analytics, while supporting SAP and other finance systems implementations. Drive scalable process improvements in a high-growth technology environment.

Build and productionize customer data and AI solutions on Databricks. Own architecture, design decisions, data pipelines, applications, ML/AI integrations, and end-to-end deployment. Partner with customers, project managers, architects, engineering, product, and support teams to deliver measurable outcomes. Guide technical adoption, train stakeholders, resolve implementation issues, and create reusable frameworks. The role requires customer empathy, enterprise stakeholder management, technical project delivery, and travel to customers approximately 20% of the time.

Lead Databricks-centric customer engagements delivering data engineering, data science, and cloud solutions. Design and deploy end-to-end data architectures, implement and optimize Apache Spark workloads, guide migrations, provide escalated operational support, manage technical project delivery, document/whiteboard solutions, and collaborate with stakeholders. Travel to customers ~20%.

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.

Manage and launch innovative learning programs globally, enhance user adoption, and leverage AI and data for effective enablement.

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 strategic enterprise sales for Databricks across Fortune 500 accounts. Builds executive relationships, expands platform adoption into new business units and use cases, drives pipeline and revenue growth, manages forecasts in Salesforce, and communicates the value of data, analytics, AI, Apache Spark, and Delta Lake solutions.

Leads technical strategy and pre-sales efforts for large enterprise accounts in high tech and manufacturing. Partners with Enterprise Account Executives to drive Databricks adoption, data and AI transformation, technical evaluations, proofs of concept, and executive engagement. Builds technical champions, leads virtual teams, mentors colleagues, and applies expertise in big data, data science, cloud platforms, and production programming to customer use cases.