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Forward Deploy Engineer

Roles & Responsibilities

  • 4+ years of full-stack experience with React/Vite/Next.js on the frontend and Python (Django/Flask) on the backend.
  • Fluency with diverse data stores (SQL, NoSQL, OLAP) and experience optimizing queries for high-volume AI logs.
  • Strong UX/UI sensibility with a track record of delivering pixel-perfect, intuitive interfaces for technical users.
  • Startup DNA: thrives in ambiguity and prefers shipping code at high velocity over bureaucratic cycles.

Requirements:

  • Lead the post-sales technical rollout for enterprise clients, ensuring seamless integration with their existing data stacks.
  • Build and ship custom features, dashboards, and workflow editors using React, Next.js, and Python.
  • Navigate and integrate with customer databases (Postgres, Redshift, Clickhouse, MongoDB).
  • Act as the primary technical point of contact for client stakeholders, leading live demos and troubleshooting complex data flows in real time.

Job description

Forward Deployed Engineer (Full-Stack)

Role: Forward Deployed Engineer (Post-Sales & Product Implementation)

Location: Remote (US) / San Francisco 

Company: Venture-Backed AI Infrastructure Startup

About the Company

They are building the mission-critical infrastructure that allows engineering teams to develop, test, and deploy reliable machine learning systems at scale. Their platform is utilized by large enterprise customers to ensure their AI behaves consistently, safely, and predictably.

The team is highly technical and product-focused. They are investing heavily in the "last mile" of the user experience, ensuring our technical backend translates into seamless, enterprise-grade product workflows.

The Role

As a Forward Deployed Engineer (FDE), you will sit at the intersection of Engineering, Product Design, and Customer Success. This is a high-impact, post-sales role designed for a "force multiplier" who can walk into a complex enterprise environment, understand their unique data constraints, and build the custom implementations that make our product indispensable.

You are the right fit if you have the "Design Engineer" itch for polished UI, but the backend grit to architect data pipelines across modern infrastructure.

Key Responsibilities

  • Technical Implementation: Lead the post-sales technical rollout for enterprise clients, ensuring our platform integrates seamlessly with their existing data stacks.
  • Full-Stack Development: Build and ship custom features, dashboards, and workflow editors using React, Next.js, and Python.
  • Data Architecture: Navigate and integrate with various customer database environments, including Postgres, Redshift, Clickhouse, and MongoDB.
  • Design-to-Code: Act as a Design Engineer by translating complex user requirements into high-fidelity UI components via Figma and Tailwind CSS.
  • Customer Advocacy: Act as the primary technical point of contact for client stakeholders, leading live demos and troubleshooting complex data flows in real-time.
  • Product Feedback: Turn field insights into core product requirements, working directly with the founding team to shape the roadmap.

What We Are Looking For

  • Full-Stack Mastery: 4+ years of experience with a focus on React/Vite/Next.js on the frontend and Python (Django/Flask) on the backend.
  • Infrastructure Fluency: Comfortable working with diverse data stores (SQL, NoSQL, and OLAP) and understanding how to optimize queries for high-volume AI logs.
  • Aesthetic Sensitivity: A strong eye for UX/UI; you don't just make things work, you make them "pixel-perfect" and intuitive for technical users.
  • The "Demo" Spirit: You are personable, articulate, and enjoy the challenge of high-stakes client interactions.
  • Startup DNA: You thrive in ambiguity and prefer shipping code at a high velocity over long, bureaucratic cycles.

Tech Stack

  • Frontend: React, Next.js, Vite, Tailwind, Radix/Shadcn.
  • Backend: Python (Django/Flask), Node.js.
  • Data: Postgres, Clickhouse, Redshift, MongoDB.
  • Design: Figma.

Why Join The Team?

  • Work directly with founders who have built and shipped AI at scale.
  • High ownership: You own the customer relationship from a technical standpoint.
  • Competitive salary and benefits.

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