Top Tech Jobs & Startup Jobs in Austin, TX

Full-cycle new business sales role acquiring net-new subscribers for ZipRecruiter through outbound prospecting (cold calls/emails), demos, managing free trials, proposals, and closing deals. Meet high activity quotas (50+ calls/day, 100+ emails/day), exceed monthly new-business targets, and participate in intensive sales training.

Lead design, development, and productionization of advanced ML models and data pipelines. Drive architecture, experimentation, validation, and best practices while mentoring ML engineers and delivering scalable, business-driving AI solutions.

The role involves building data processing pipelines, deploying cloud technologies, and writing code in a Kubernetes environment, focusing on big data technologies.

Drive new business and revenue growth for enterprise staffing accounts by prospecting, negotiating contracts, conducting demos, building executive relationships, managing and expanding existing accounts, meeting quotas, cold calling, and traveling up to 50%.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

Full-cycle inside sales role focused on acquiring net-new employer clients: prospecting, cold outreach, demos, managing free trials to paid accounts, hitting monthly new-business quota, and maintaining high activity (70+ calls/day) to build pipeline and close deals.

Manage a book of enterprise customers post-sale to drive onboarding, retention, and upsells. Use data storytelling and product expertise to optimize performance, coordinate implementations with AdOps, troubleshoot issues, and collaborate with Sales and Product Strategy to meet customer recruiting goals.

Lead a Big Data Engineering team to deliver production-grade ETL and data pipelines at scale. Own team execution, code quality, morale, and roadmap execution with product managers. Remove roadblocks, coach and develop engineers, promote engineering best practices, and enable data-driven and AI-powered product features (personalization, recommendations, search, ranking, matching).

Lead a Machine Learning engineering team owning mission, execution, morale, and code quality. Partner with product to deliver roadmap, remove roadblocks, improve processes, coach and grow engineers, and drive development, deployment, and innovation of ML models for recommender, search, and matching systems.

Lead SMB revenue operations strategy and execution, manage and coach a team of analysts, prioritize and deliver cross-functional GTM projects, optimize processes and systems, and rapidly resolve operational issues to enable scalable revenue growth.