Midcentury Labs - Founding Strategic Partnerships

Midcentury is building the next-generation platform for audio AI, enabling the secure onboarding of private data and empowering global contributors through expert-labeled data services.

We’re solving the hardest problems in multimodal AI—from massive-scale data pipelines to frontier ML research. If you’re an entrepreneurial builder who thrives in ambiguity, loves collaborating with technical teams, and wants to work shoulder-to-shoulder with world-class researchers and engineers, we want to hear from you.

We recently raised an oversubscribed Series A round led by a16z and are ready to scale beyond our initial customers and datasets. Our goal is to aggregate thousands of hours of audio data while delivering multiple data collection and processing projects simultaneously.

About this role

We just raised a seed + series A round led by a16z, we're now looking to dramatically accelerate our growth and expand our core founding team.

We believe that the future of AI hinges on better data—and not just more of it, but data that is diverse, consented, and representative. From health to finance to language, AI systems today are limited by the data they were trained on. Midcentury changes that by creating a new incentive layer for contribution.

Our first focus in this space is audio training data. In our first year, we’ve partnered some of the top multimodal AI labs, helping them access net-new, valuable datasets for the next generation of AI. Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product and operations minds to join us on our mission to revolutionize audio AI.

We are looking for a Founding Strategic Partnerships professional to lead go-to-market (GTM) efforts and manage commercial relationships with leading AI labs and model builders. In this role, you will drive revenue through data sales, expand partnerships beyond initial customers, and play a key role in scaling the company’s reach. You will also collaborate with both demand-side (AI labs) and supply-side partners to support data licensing and ensure high-quality datasets for model training.