Top Tech Jobs & Startup Jobs in Austin, TX

Sells enterprise cloud consulting and infrastructure solutions to large organizations. Builds C-level relationships, develops territories and pipelines, manages complex sales cycles, forecasts revenue, leads proposals and negotiations, and serves as the primary customer contact for cloud adoption initiatives. Requires strong knowledge of public cloud, infrastructure, automation, security, and CRM technologies, plus the ability to communicate technical value to senior executives.

Drive enterprise sales of Google Workspace and Onix services, managing the full sales cycle from prospecting through contract closure. Build C-suite relationships, develop strategic account plans, identify new business opportunities, lead proposals, negotiate contracts, and coordinate with marketing and business development teams. The role requires expertise in Google Workspace products, consultative value selling, complex commercial discussions, and Fortune 500 account development.

Leads multiple cloud migration workstreams, coordinating cross-functional technical teams, timelines, budgets, resources, risks, stakeholders, and deliverables. Provides technical guidance on scalable and secure cloud solutions, oversees legacy application and data migrations, supports agile practices, identifies automation opportunities, and drives process improvements. The role requires strong program management, cloud platform knowledge, communication, leadership, and experience managing complex IT migration initiatives.

Lead the architecture and implementation of cloud-based lakehouse and data warehouse solutions. Translate client needs into technical designs, establish governance and data quality practices, automate cloud data platforms, and mentor data engineering teams. The role also supports consulting engagements, client presentations, deployment optimization, and adoption of Databricks, Spark, MLOps, and modern data engineering technologies across Azure, AWS, and GCP.

Develop and lead scalable cloud data engineering solutions for data warehouse migration, modernization, analytics, and ETL/ELT projects. Design and implement solutions using Google Cloud technologies, SQL, Python, and BigQuery. Create testing strategies and plans, collaborate with customers and development teams, translate business requirements into technical solutions, and contribute to an agile environment.

Designs and implements enterprise cloud data architectures, including pipelines, warehouses, lakes, migrations, schemas, security, governance, and analytics solutions. Collaborates with executives, stakeholders, architects, engineers, and security teams to deliver scalable, reliable, and compliant systems. Creates technical documentation, presents solutions, mentors technical staff, evaluates emerging technologies, and improves deployment efficiency. The role requires customer-facing consulting, architecture design, data engineering, cloud platform expertise, and hands-on experience with distributed data systems.

Designs and implements conversational AI solutions using Dialogflow CX, CCAI technologies, cloud platforms, and telephony or CRM integrations. Leads client architecture, requirements gathering, conversational flow design, technical documentation, governance, and solution delivery. Collaborates with executives, architects, engineers, and business stakeholders, while mentoring team members and evaluating emerging generative AI capabilities. The role is remote and requires up to 10% travel.

Sell Google Maps Platform solutions to enterprise customers by building C-level relationships, developing territories and pipelines, managing complex sales cycles, negotiating contracts, and closing opportunities. Serve as the primary customer contact, understand business and technical requirements, explain platform capabilities, and collaborate with sales engineers and cross-functional teams to drive customer growth and satisfaction.