Member of Technical Staff, Core Product

About Enterpret

At Enterpret, we are building the platform that unlocks the most impactful dataset for any business — customer feedback. We solve complex problems across natural language processing, serverless computing, and analytics on the frontend, pushing the envelope of what's possible by applying first-principle thinking.
Investors like Kleiner Perkins and Sequoia Capital share our conviction, and respected product development teams at companies like Canva, Notion, Samsung, and Loom rely on us to understand and act on the voice of their customers.
We love working with folks who are resourceful, thrive in ambiguity, and display a strong sense of ownership.
Our engineering culture is built around leveraging and contributing to open-source tools. We aim to build upon and improve state-of-the-art systems in our field of work.
Read more about our team, core values, and operating principles - here.

What You'll Do

• Build and scale the core backend and infrastructure that powers our customer feedback intelligence platform — owning systems from data ingestion through real-time analytics.
• Harden the ML and NLP infrastructure — pipelines, model-serving, and data flows — so features stay reliable in real customer environments at scale.
• Own critical infrastructure decisions around data models, event flows, and service boundaries, with strong correctness and data-integrity guarantees.
• Instrument systems deeply for observability, so failures surface early and production behavior becomes something the team learns from.
• Balance speed, cost, and long-term system health, making pragmatic cost-effective and scalable trade-offs while shipping continuously.
• Partner with Product, Design, and the founding team to turn ambiguous problem statements into clear infrastructure, and contribute directly to product direction.
• Raise the bar on the systems you own through clean code, thorough design reviews, and mentorship — and propose platform-level improvements where you spot leverage.