Top Tech Jobs & Startup Jobs in Austin, TX

Oversee the San Francisco hub, managing workplace operations and HR initiatives while championing AI for improved employee experience.

The AI Automation Engineer will develop scalable automation and integration solutions across various SaaS platforms, focusing on AI workflows, security, and data integrity.

The Principal Client Partner will lead strategic executive relationships, shaping human capital strategies, and managing complex deployments to facilitate organizational transformation.

The Staff Full-Stack Engineer will build automation tools, data pipelines, and self-service solutions for Performance Intelligence, collaborating with cross-functional teams to enhance data accessibility and insight delivery.

The Enterprise Account Executive will focus on prospecting, consultative selling, building relationships with clients, and closing enterprise deals, while collaborating cross-functionally and traveling up to 50%.

Lead global sales enablement by designing and executing enablement strategy, training, content, and systems (Salesforce). Partner with Sales, RevOps, Marketing, and L&D to analyze pipeline, improve performance, maintain enablement technology and resources, and gather seller feedback to drive measurable sales outcomes.

Lead and deliver multiple high-impact product and platform programs from inception through rollout. Drive technical discussions on APIs and integrations, manage dependencies and risks, align cross-functional stakeholders, leverage AI to automate workflows, and establish timelines and priorities to ensure successful outcomes in regulated or high-stakes environments.

The role involves business acumen application, engaging with C-Level executives, designing solutions for HR challenges, and analyzing data to drive customer success and strategy.

As a Senior Analytics Engineer, you will build and maintain data products, create ELT pipelines, and influence the analytical roadmap while mentoring engineers.

The Principal HR Business Partner for R&D will lead people transformations in R&D, consulting with leaders, designing organizational structures, and implementing AI-driven talent practices to enhance innovation and collaboration.