Design, build, and maintain scalable backend services and data architectures for portfolio reporting and analytics. Integrate internal and external data sources, support high-performance reporting, and lead AI/ML-enabled features and agentic LLM workflows. Collaborate with product, frontend, and data teams, mentor junior engineers, and improve system performance, data integrity, and reliability in a fast-paced startup environment.

Lead and standardize client onboarding and integrations for a private-markets AI platform. Partner with Customer Success, Engineering, and Product to design scalable implementation workflows, ensure data integrity, mitigate risks, drive adoption, and use analytics to improve processes and outcomes in a fast-moving startup environment.