Member of Engineering, Interfaces, Full Stack

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poolside

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Enterprise

poolside is a frontier AI lab and enterprise platform that builds and deploys foundation models, multi-agent systems, and developer-facing tools focused on automating complex software work. The company specializes in on-prem and VPC deployments, security-first integrations, governance, and connectors to enterprise data sources so organizations can run agents and models inside their own boundaries. Poolside embeds research and engineering with customers to deliver outcome ownership, risk controls, and measurable business impact while advancing toward AGI by starting in high-consequence software environments.

📋 Description

• Own product surfaces end-to-end, from backend services and APIs to the web UI, across the Model Factory platform • Turn the opaque parts of model training (experiments, trajectories, evals, data inspection) into interfaces people trust and use every day • Deeply understand the needs of applied researchers; align closely on their use-cases, find the bottlenecks, and ship new platforms + features to improve their workflows • Build the platform other internal teams contribute their own UI into (a.k.a. *our internal design system*) • Quickly iterate on feedback, prioritizing adoption and usability • Uphold quality across the stack: performance, reliability, and high-utility interfaces

🎯 Requirements

• Strong full-stack product engineering: you build end-to-end, from data model to polished web UI • Product sense: you have an intuition for what users need, can make product decisions independently, and deeply care about the products you build • Fluent in a modern web stack (e.g. TypeScript / React) and a backend language, comfortable anywhere in the stack • You thrive in ambiguity and greenfield work, taking a loosely-defined problem all the way to a shipped, adopted product • Low ego, collaborative, and fast-moving; you do your best work close to research, product, and infrastructure • A working understanding of how ML models are built (experiments, evals, training workflows), or real curiosity to learn it • Experience with data-analysis tooling, agent tooling, or AI products

🏖️ Benefits

• Fully remote work & flexible hours • 37 days/year of vacation & holidays • Health insurance allowance for you & dependents • 16 weeks of flexible, full-pay parental leave • Well-being, always-be-learning & home office allowances • Company-provided equipment • Frequent team get togethers • Diverse & inclusive people-first culture