As a Technical Program Manager, drive cross-functional technical programs, improve internal tools, manage operational cadence, and communicate effectively across teams.

The Software Engineer, Machine Learning Infrastructure will design and maintain data pipelines, develop frameworks for ML models, and create robust infrastructures for deployment, ensuring efficient processing and high availability.

As a Product Manager, you will own product strategies for audio data, collaborating with research and engineering to build data products and measure their impacts.

The Recruiting Lead will manage full-cycle recruiting, develop the recruiting strategy, oversee operations, and ensure hiring goals are met. They will partner with founders and lead the Talent team in improving processes and metrics.

Lead the engineering team at David AI, overseeing product, infrastructure, and AI systems while driving the development of audio data tools and scalable processing pipelines.

The Recruiting Lead will oversee the entire hiring process for David AI, collaborate with leadership on recruitment strategies, and enhance the talent function through effective sourcing and metrics analysis.

As a Product Engineer, you'll develop scalable full-stack features, build data processing pipelines, and collaborate with researchers to enhance audio data insights.

Oversee accounting operations, financial reporting, compliance, and controls. Lead ERP migrations and manage audits. Collaborate on strategic initiatives.

The role involves designing and shipping custom products, facilitating communication between technical and business contexts, and addressing customer needs through technical solutions.

Lead contributor acquisition strategies and scaling processes, run growth experiments, design engagement incentives, and analyze funnel metrics for growth at David AI.

Lead David AI's Data Operations team, focusing on building and scaling pipelines for high-quality audio data production, monitoring pipeline health, and collaborating with researchers.

As a Data Product Operations Lead, you'll design and scale audio data pipelines, ensuring high-quality dataset production while collaborating with researchers and cross-functional teams.

The Senior Backend Engineer will design and maintain backend services, build scalable APIs, and optimize systems handling large audio data sets.

Lead the Product Engineering team in developing scalable systems and innovative products for audio data training. Responsibilities include full-stack development, deploying solutions, mentoring engineers, and maintaining technical standards.

As a Deployment Strategist, you will partner with customers to shape audio AI strategies, leading projects from ideation to execution while fostering strong relationships. You'll work with technical teams to ensure high-quality outcomes and identify opportunities for implementation.