Member of Technical Staff -- Founding Engineer (Data)

About Twenty Labs / Compound Twenty Labs is an applied research lab working on augmenting knowledge workers, starting with finance. The penetration of AI in finance is still limited and we want to be the company that delivers AGI to finance through our product, Compound (@getcompoundai). Some product videos can be found on YouTube. You'll be joining a highly technical founding team, including leading researchers and engineers from Google DeepMind/Brain and Microsoft who pioneered research in language models, shipped GenAI products to billions in production, paired with domain expertise from top finance and consulting firms (Coatue, Bain, Y Combinator). Benefits Comprehensive Medical/Dental/Vision insurance for you and dependents, including $0 premium plan with company HSA contribution 401(k) plan with 4% match Catered daily team lunch Urban downtown San Mateo office, 5-minute walk from Caltrain and free parking Time off as you need it Top-quality computers and ergonomic workspace Corporate AI subscriptions as much as you need for work Our culture and how we operate We seek out the 10% of people who account for 90% of productivity and strive to be a small and talent-dense team. No formal performance reviews. If you're here, you're a high-performer. Our organization is flat with no middle managers and you will work directly with the founders who all code. No empire building – we operate as one team. If you see something you can fix efficiently end-to-end, just do it. We love being in-person at our San Mateo office 5-days a week for maximum bandwidth communication and enjoying delicious local food together. We write blameless post-mortems (incident reports) for any service outages to document and constantly improve reliability. We “Feel the AGI” and want to bring it to others to massively improve productivity. Your role We're seeking exceptional backend engineers who excel at going deep on data. You'll build the data pipelines and database systems that power Compound's AI agents, ingesting diverse financial data sources and ensuring our systems can query them with speed and precision. You'll work closely with the founders to rapidly integrate new data sources that give our AI agents the context they need to deliver real value. You, the ideal candidate Have deep expertise building and optimizing data pipelines that ingest, transform, and serve data at scale, e.g. Beam, Spark, Flink, etc. Love going deep on details to understand data thoroughly Are obsessive about schema correctness and query performance for latency-sensitive applications Are an expert in database technologies: PostgreSQL, SQL/NoSQL, MongoDB, BigQuery and/or alternatives Have experience with large datasets at hedge funds, trading firms, or top-tier tech companies Have a strong understanding of computer science fundamentals, distributed systems Are experienced in deploying services (docker, kubernetes) to at least one of GCP, AWS, Azure Strong programmer with expertise in at least one statically-typed language Use AI to augment yourself and accelerate your work, but you also augment AI (thoroughly review AI-code, catch its bugs, and call-out poor design) Are invigorated by high-performing peers and doing high-quality work #J-18808-Ljbffr Twenty Labs