Technical Lead Manager, ML Infrastructure

🚀 JOIN THE FUTURE OF COMMERCE WITH WHATNOT!

Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.

As a remote co-located team, we're inspired by our values https://www.whatnot.com/careers and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.

We're one of the fastest growing marketplaces https://a16z.com/marketplace-100/ and were recently named the #1 Best Startup Employer in America http://google.com/search?q=%231+forbes+startup+employer&oq=%231+forbes+startup+employer&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIGCAEQRRg9MgYIAhBFGD0yBggDEEUYQDIGCAQQRRhAMgYIBRBFGEDSAQg1NzM0ajBqMagCALACAA&sourceid=chrome&ie=UTF-8 by Forbes. Check out the latest Whatnot updates on our news https://blog.teamwhatnot.com/ and engineering blogs https://medium.com/whatnot-engineering and join us as we enable anyone to turn their passion into a business and bring people together through commerce.


💻 ROLE

We’re looking for hands-on builders–intellectually curious, deeply technical leaders eager to shape the future of AI and ML at Whatnot. You’ll lead the development and scaling of the core infrastructure that powers machine learning and self-hosted large language model applications across the company, working side by side with machine learning scientists to bring cutting-edge models powered by near-realtime features into production and unlock entirely new product experiences. This means building systems that make advanced ML dependable and fast at scale–from low-latency deep learning model serving and streaming feature ingestion to distributed training and high-throughput GPU inference. This is a role that requires strong technical depth–potential candidates should be excited about getting and staying in the weeds. You will be expected to up-level architectural discussion, provide technical feedback, and code at least a day a week.


WHAT YOU'LL DO:

- Own the infrastructure powering AI and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more.

- Guide the prototyping, deployment, and productionization of novel ML architectures that directly shape user experience and marketplace dynamics.

- Help design and scale inference infrastructure capable of serving large models with low latency and high throughput.

- Oversee and evolve real-time feature pipelines that feed both our online and offline stores, ensuring single-second feedback from behavioral signals, high reliability, and model training fidelity.

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