Feature Platform Engineer at whatnot

This role is ideal for a mid-to-senior level software engineer (4+ years) who specializes in the "plumbing" of AI—specifically feature stores and real-time data pipelines. You should have a strong background in Python and experience managing high-throughput production systems, particularly those that involve sub-second latency for machine learning models. The compensation is highly competitive, starting at $225k base plus equity and a 4% 401k match. While the team is "remote co-located," you must live within commuting distance of their hubs in SF, Seattle, LA, or NYC for in-person collaboration. Perks are extensive, including a home office allowance, wellness stipends, and a unique "dogfooding" budget to buy items on the platform. **You might be a good fit if you:** * Have experience with real-time streaming and storage tools like Kafka, Flink, DynamoDB, or Redis. * Want to build the infrastructure that helps ML scientists move faster rather than just training models yourself. * Thrive in high-growth startup environments where you’ll own projects from design to deployment. * Enjoy the intersection of social media, live entertainment, and e-commerce.