The future of data lies in decentralization, and the concept of a data mesh is the proven approach for implementing this at Enterprise scale. We’re here to make it a reality. Nextdata OS is a data-mesh-native platform built to meet the challenge of decentralizing data at scale. We are inventing a new way for developers to work with data and share it responsibly via data product containers.
Our vision is to build a world where AI/ML and analytics are powered by decentralized, responsible, and equitable data ownership, across boundaries of organizations, technology, and most importantly boundaries of trust.
Our purpose is to change the experience of creating, sharing, discovering, and using data forever, to be connected, fast, and fair based on data mesh principles.
Our technology is designed to empower data developers, users and owners with a delightful experience where data products are a first-class primitive, with trust built-in.
We are here to accept the reality that the world of data is complex and messy; data models are out-of-date the moment they are created; data is owned across trust boundaries; data is stored on different platforms; data is used in many different modes and most importantly data can't protect itself. We recognize that past approaches to tackle these complexities with centralized data collection, modeling and governance are ineffective at best and pathologically unfair at worst. Our mission is to reimagine the world of data with you.
As a Forward Deployed Engineer, you will lead a focused three-to-four-month project (which is likely to turn into a longer term engagement) with one of Nextdata’s initial customers. You will work closely with the customer to translate a high-value business need into a production-ready solution built on the Nextdata OS.
You will own the project from use-case definition through implementation and deployment. This includes data integration, data modeling, pipelines, infrastructure, and the applications through which users and AI agents consume governed data products.
A core part of the project is building a user-facing agentic application, not only the underlying data platform. You will develop workflows that allow users to ask questions, discover and combine relevant data products, invoke tools, and take governed actions. This requires practical experience with LangChain, LangGraph, or similar frameworks for implementing multi-step agent workflows, tool calling, state management, human approval steps, and reliable failure handling.
You will also build the APIs, semantic interfaces, and MCP-compatible endpoints that allow the application and its agents to understand and use enterprise data within defined access and policy controls.
You will draw on experience across the analytics and AI lifecycle, from business requirements and data pipelines to application development and agentic workflows. Lessons from the project will feed back into the Nextdata OS, its developer experience, and reusable product patterns.
The initial engagement is expected to run for three to four months. If successful, the work may expand into a broader product initiative.
We are an early-stage company, but we operate like a mature team. Many of us have families, and we value stability.
We offer:
Nextdata is hiring. We’re looking for pragmatic, empathetic problem-solvers who understand the needs of tomorrow and dare to challenge the ways of the past.
