--- title: 'Frontend Engineer (Founding Team) at Fabrion' canonical: 'https://feeny.ai/job/frontend-engineer-founding-team-fabrion-san-francisco-p4nbwzbq1kgq' type: 'job' last_seen: '2026-09-08' --- # Frontend Engineer (Founding Team) at Fabrion - **Company:** Fabrion - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-08-11 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/fabrion/e8cada01-2096-4d2c-8d1b-e829f5969e50 ## Job description FRONTEND ENGINEER (WITH FAMILIARITY OF FULL STACK) (FOUNDING TEAM) Location: San Francisco Bay Area Type: Full-Time Compensation: Competitive salary + meaningful equity (founding tier) Backed by 8VC, we're building a world-class team to tackle one of the industry’s most critical infrastructure problems. ## ABOUT THE ROLE We’re building an AI-native data platform designed to simplify the most complex workflows in deep industrial use cases. We’re looking for a frontend engineer who’s excited to bring clarity to ambiguity, design to complexity, and elegant user experiences to industrial-grade systems. You’ll work directly with the founding team to shape and ship intuitive UIs across multi-tenant analytics visualizations, agent interfaces, and workflow tools. If you’ve ever felt that enterprise UIs are bloated, confusing, or inefficient — this is your chance to build something better. This is an early-stage, high-autonomy role where you’ll contribute to the foundational UX patterns and design language of a next-generation SaaS platform. ## RESPONSIBILITIES - Design and build scalable, performant, and accessible frontend components using React and Next.js - Implement intuitive, minimal UX for complex backend and AI workflows — including dashboards, agents, approval flows, and multi-tenant admin panels - Work closely with backend and data teams to visualize dynamic, high-dimensional data (including time series, lineage, vector search, and agent memory) - Contribute to design systems, component libraries, and shared patterns - Ship quickly and iterate — from low-fidelity prototypes to fully responsive, production-ready code ## WHAT WE’RE LOOKING FOR Experience: - 3–7 years of experience as a frontend or full stack engineer - Proficient in React, TypeScript, Next.js, TailwindCSS (or equivalent), experience with AI Agentic stack like langchain, model APIs, model and agentic interfaces is a big plus - Comfortable integrating with APIs (REST, GraphQL), streaming endpoints, and real-time data - Experience building or contributing to complex dashboards or admin panels - Familiar with web accessibility, responsive design, and UX performance best practices Mindset & Craft: - You think deeply about user experience and prefer clarity over flashiness - You enjoy simplifying complexity with elegant, maintainable interfaces - You value clean abstractions and shareable components over short-term hacks - You want to work on tools that solve hard problems for real users - You care about visual storytelling, agent interfaces, and helping users trust AI outputs Bonus Experience: - Prior work on B2B platforms, data-intensive applications, or industrial/logistics tooling - Experience with Vega or Flourish or React ReChart charting libraries, or D3.js - Slack app integrations, Excel/Docs plugins, or workflow UX - Familiarity with multi-tenant design patterns, granular RBAC, or policy-based controls - Experience with AI Agentic stack like langchain, model APIs, model and agentic interfaces is a big plus ## WHY JOIN - Early ownership in a technical product with long-term upside - Opportunity to define how users interact with complex data and intelligent agents - Join a founding team that values design as a first-class citizen, not an afterthought - Ship features fast in a low-process, high-trust environment - Work on AI-native tooling that blends backend intelligence with frontend usability If you want to help shape the interface layer of the next generation of intelligent systems — and believe design is a core enabler of AI trust, clarity, and effectiveness — we’d love to hear from you. ## About Fabrion ## Company Overview - **One-liner**: Fabrion is an AI-native platform and operating system that provides a real-time intelligence layer for industrial manufacturers, transforming complex value chains with agentic AI, knowledge graphs, and data fabrics. - **Entity Type**: Private – Seed stage (Seed round with one investor) - **Headquarters**: San Francisco, California, United States - **Founded**: 2025 - **Founders**: Roy Ng (CEO), Kunal B. (CTO & CPO), Christian V. Jordan, Jake Medwell (Board Member) – experienced operators from AWS, Meta, SAP, and Twilio. ## Core Business - **Primary industries**: Industrial manufacturing, supply chain, enterprise AI - **Target customers**: B2B – Enterprise industrial manufacturers, OEMs, and tier suppliers - **Mission/purpose**: “AI will be the operating system for the next industrial era” – building autonomous, governed AI systems that let teams see, decide, and act on complex manufacturing and supply chain data ## Products & Services - **Fabrion Platform**: An AI-native operating system that ingests, normalizes, and acts on messy, fragmented industrial data. Uses LLMs, knowledge graphs, vector databases, and agentic systems to deliver real-time intelligence. - **Fabrion AI Lab**: A full-stack vertical AI research platform focused on: - Data fabric for AI (metadata-driven cleanse/correlate/stream) - Governance-by-design (observable, reversible, compliant AI) - Context memory management (short/long-term recall for agents) - Industry knowledge graphs (internal data + external signals) - Agent mesh architectures (distributed, goal-conditioned agents) - Hybrid & multi-cloud infrastructure - Custom fine-tuned models (RAG, SLMs, RLHIL, pre-trained enterprise data) ## Market Standing - **Valuation**: Not disclosed - **Key metric**: Seed funding round (amount not publicly stated); 1 investor identified (8VC is prominently featured as a partner) - **Notable investors/partners**: 8VC (lead through “8VC Build” program); partnering with leading OEMs and forward-thinking industrial companies - **Growth signals**: - Workforce of ~7 employees (all founding/early team) with **9 open job postings** across engineering, research, and business development - Web traffic growth: +115.2% monthly (4,264 monthly visits) - LinkedIn followers: 343 (+7.5% monthly) - Founding team has scaled products from zero to hundreds of millions in revenue at previous companies ## Competitive Advantages - **AI-native from day one** – not a thin wrapper on foundation models; built as a full-stack vertical AI research platform - **Deep industry partnerships** with OEMs and industrial companies actively modernizing - **Proven founding team** with experience at AWS, Meta, SAP, and Twilio – domain expertise in manufacturing, logistics, Big Data, SaaS, and enterprise - **Focus on governance and compliance** – every AI action is explainable, reversible, and measurable, a critical differentiator for regulated industrial environments - **Knowledge graph + agent mesh approach** – moves beyond static dashboards to autonomous, semi-autonomous agents ## Strategic Focus - Build autonomous or semi-autonomous AI agents for manufacturing supply chains (self-healing, rebalancing) - Embed compliance and governance as first-class citizens in the AI stack - Advance research in data fabrics, context memory, and custom fine-tuned models for industrial verticals - Expand agentic capabilities from simulation to real-world production environments ## Why Work Here - **Culture**: “High EQ, low ego, no assholes”; owners not renters; first-principles thinking; win with customer outcomes; score points, not yardage - **Work modality**: Hybrid – jobs are listed as “In-Office or Remote” with multiple locations (HQ at Pier 5, The Embarcadero, San Francisco; also remote options) - **Technical stack**: Kubernetes, Keycloak, Python, SQL, Docker, GraphQL, React, TypeScript, Terraform, Snowflake, Neo4j, OpenAI, MLflow, Grafana, Prometheus – cutting-edge AI/ML infrastructure - **Impact**: Solving mission-critical problems in global trade and manufacturing – value chains representing billions of dollars; opportunity to define a new industrial AI paradigm - **Team**: Small founding team with deep experience; opportunity to work across engineering, research, and product from the ground up ## Sources 1. [fabrion.com/careers](https://www.fabrion.com/careers) 2. [builtin.com](https://builtin.com/company/fabrion) 3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/fabrion) 4. [linkedin.com](https://www.linkedin.com/company/fabrionai) 5. [fabrion.com/ai-lab](https://www.fabrion.com/ai-lab) ## Other roles at Fabrion - [Founding AI Research Lead - Agentic AI Lab](https://feeny.ai/job/founding-ai-research-lead-agentic-ai-lab-fabrion-san-francisco-c251tdtjjvrw) — San Francisco, CA - [Founding Designer](https://feeny.ai/job/founding-designer-fabrion-san-francisco-zww16cz5wbwb) — San Francisco, CA - [Data Partnerships Analyst](https://feeny.ai/job/data-partnerships-analyst-fabrion-san-francisco-2h67mf9ssa3z) — San Francisco, CA - [Business Development Analyst – Auto](https://feeny.ai/job/business-development-analyst-auto-fabrion-san-francisco-4agd1wrm1x3z) — San Francisco, CA - [ML/AI Research Engineer — Agentic AI Lab (Founding Team)](https://feeny.ai/job/ml-ai-research-engineer-agentic-ai-lab-founding-team-fabrion-san-francisco-m7ry3fmyn2rd) — San Francisco, CA - [DevOps Engineer (Founding Team)](https://feeny.ai/job/devops-engineer-founding-team-fabrion-san-francisco-rhgsyhr9s3kx) — San Francisco, CA - [Data Engineer (Founding Team)](https://feeny.ai/job/data-engineer-founding-team-fabrion-san-francisco-33hf28h6rgc7) — San Francisco, CA - [ML Ops Engineer — Agentic AI Lab (Founding Team)](https://feeny.ai/job/ml-ops-engineer-agentic-ai-lab-founding-team-fabrion-san-francisco-na47hpj9nvs7) — San Francisco, CA - [Founding Engineer](https://feeny.ai/job/founding-engineer-fabrion-san-francisco-50vz9w20z840) — San Francisco, CA