Teams at Enterpret

Own weekly product launches from positioning through post-launch adoption, creating launch assets, enablement, campaigns, and performance analysis. Build Enterpret’s PLG activation flow across email and in-app experiences, define activation metrics, run experiments, improve onboarding, and identify sales-ready accounts. Partner cross-functionally with product, design, sales, and customer success while using AI tools, lifecycle platforms, and product analytics to accelerate execution.

Build and ship scalable backend systems using AWS serverless architectures. Contribute to system design discussions, develop backend and AI feature integrations, create proofs of concept, support real-time inference, and debug production issues. Collaborate closely with experienced engineers on an AI-native platform while gaining practical experience in distributed systems, data pipelines, and resilient software architecture.

Own end-to-end architecture and execution for agent-driven ML product systems. Convert product direction into technical plans, define boundaries across frontend/BFF/backend/ML platforms, review designs, drive unblock planning, mentor senior engineers, and partner with Product and Design to deliver reliable, low-latency, production-grade agent/ML infrastructure.