Top Tech Jobs & Startup Jobs in Austin, TX

The GTM Enablement Lead designs and delivers scalable enablement programs to improve productivity, utilizes AI tools, and assesses performance gaps.

Manage a high-performing software engineering team, driving product roadmap and technical direction, while ensuring quality, performance, and innovation.

As a Data Analyst at Circle, you'll analyze payments data, create visualizations, develop dashboards, and support decision-making with insights. You'll partner with business teams to identify opportunities for enhancement and communicate findings effectively to stakeholders.

The Gameplay Analyst will analyze player data, improve gameplay and monetization, design A/B tests, build predictive models, and create dashboards for enhancing player experience.

Seeking a Staff Hardware Engineer to support Graphcore's AI hardware platforms through troubleshooting, validation, and engineering support. Responsibilities include diagnosing failures, collaborating with teams, and providing mentorship to junior engineers.

The Lead Data Engineer is responsible for designing and implementing data models, optimizing data pipelines, and ensuring data quality and reliability within a collaborative analytics team environment.

Provide technical support to Austin office employees by troubleshooting hardware, software, and network issues while maintaining IT infrastructure and documentation.

As a Customer Success Manager, you'll manage 30 mid-market customers, driving their success with implementation, renewal, and ensuring utilization of DX's platform to support engineering transformations.

Develop and execute territory account plans to achieve sales targets, drive new business and customer expansion while fostering strategic relationships with key accounts.

The Director of Governance, Risk, and Compliance will lead Riot's compliance operating system, design scalable systems for risk and control, and ensure audit readiness aligned with frameworks like ISO 27001.

The Sr. Data Scientist leads data-driven decision-making to enhance product development, collaborates with cross-functional teams, and champions AI-enabled reporting and data quality improvements.