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Member of Technical Staff, Core Product

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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

What It Takes

  • 6–8 years in software engineering, with a proven record of building and shipping reliable systems in production.
  • 3+ years at one organization where you've built infrastructure from scratch and owned complex projects end to end, from problem framing to production impact.
  • Deep expertise in infrastructure — not just distributed systems: data pipelines, event-driven/microservices architectures, and the operational backbone (observability, reliability, cost) that keeps them healthy in production.
  • Hands-on depth in at least one of Golang, serverless computing, SQL/NoSQL, ElasticSearch, or GraphQL, and the range to go deep when things break. Bonus: experience building or operating ML/NLP infrastructure such as pipelines, model-serving, or feature stores.
  • Strong systems thinking and engineering judgment: you reason clearly about data models, boundaries, and failure modes, and you know when to move fast and when to slow down.
  • A track record of mentoring and collaborating — raising the bar through code, reviews, and cross-functional partnership with Product and Design.
  • Comfort operating in ambiguity, making sound decisions with incomplete information, with a bias toward action and continuous learning.

Why Enterpret?

  • High Impact: Build the foundational backend and infrastruct