Top Tech Jobs & Startup Jobs in Austin, TX

Lead FP&A analysis and reporting for ARR and billings, reconcile ARR to recurring revenue, validate billings detail for forecasts, present KPIs, analyze NRR/GRR, partner with Accounting and business leaders, and drive process improvements.

The Regulatory Affairs Consultant guides clinical studies through regulatory requirements, advising teams on compliance and strategies for efficient trial execution. They engage with health authorities, manage communication, and ensure quality documentation.

As a Technical Support Engineer, you will troubleshoot complex technical issues for customers using the HiddenLayer AISec Platform, partner with internal teams, and improve documentation and processes.

As a Staff Front End Engineer, you will lead the front end vision, drive architecture decisions, and mentor engineers while developing high-impact web applications in a collaborative environment.

The Global Accounts Director will drive new client acquisition, expand relationships with existing customers, and manage complex enterprise sales cycles, focusing on SaaS solutions for large enterprises.

Manage and grow relationships with national wireless retailers, drive sales and margin, deliver virtual trainings and 1:1s, use CRM and MS Office for reporting and accountability, and support adoption of the companys lease-to-own technology. Travel up to 10%.

The Senior Solution Engineer will collaborate with clients to develop scalable solutions, manage technical implementations, and enhance customer success through advanced computing technologies.

Lead performance-driven client relationships in a marketing agency, connecting client goals to strategies, managing accounts closely, and guiding internal teams for measurable outcomes.

Design, build, and maintain scalable ELT data pipelines and models to power reporting, analytics, and operational workflows. Troubleshoot data quality and performance, participate in incident response, support CI/CD deployments, collaborate with cross-functional teams, and contribute to data platform modernization and engineering best practices.

Lead and scale a production-focused data science practice: define engineering standards, build reusable Python frameworks, drive end-to-end model development and monitoring, collaborate with Data Engineering/MLOps/analytics and business partners, mentor team members, and establish measurement, documentation, and prioritization disciplines to ensure models deliver business impact across Claims, Underwriting, Risk, and Distribution.