Top Tech Jobs & Startup Jobs in Austin, TX

Remote Client Success Manager owns 20–40 Amazon client accounts end-to-end: onboarding, strategy, weekly performance analysis, and retention. Coordinate daily with PPC strategists, execute structured processes, log changes, escalate issues quickly, and maintain 2-hour business-hour responsiveness. Operate in a fast-paced agency environment using Amazon and analytics tools to drive profitability and prevent churn.

The Director Sales-Special Events oversees special event sales and marketing, manages client relationships, staff, and ensures successful event execution.

The Accounting Administrator supports daily accounting operations, manages accounts payable, assists with month-end/year-end close, and ensures compliance with policies.

The Enterprise Account Executive is responsible for acquiring and managing enterprise-level clients, driving sales growth, and maintaining customer relationships.

The role involves architecting and implementing high-speed analog and mixed-signal circuits for photonic transceivers and electronic ICs, requiring collaboration with multidisciplinary teams.

Lead the development of utility-scale renewable energy projects, managing project activities from inception to financial close and ensuring regulatory compliance.

Develop and maintain scalable GIS applications and services on the Esri platform to support utility operations. Build Python-based tools (ArcPy, ArcGIS API for Python), configure ArcGIS Field Maps for mobile data collection, implement ETL/QA workflows, manage geodatabases and RESTful services, and integrate GIS with asset/work management and analytics systems while collaborating with engineers and stakeholders.

Seeking Account Executives to drive growth by managing sales cycles, collaborating with internal teams, and maintaining pipeline visibility while exceeding quotas in selling SaaS solutions.

Lead and mentor the trading support team while managing performance and reliability of trading systems. Responsibilities include automation, incident management, and collaboration with traders and engineers to resolve production issues.

The Data Science Analyst will interpret data for client decision-making, support hypothesis development, perform analyses for actionable insights, and present findings to stakeholders.