
Technology • SaaS • eCommerce
Sumble is a technology company that enhances user experiences by utilizing cookies to streamline browsing, personalize content, and analyze website traffic. It ensures secure logins and compliance with user consent preferences, while also leveraging analytics to improve site performance and offer tailored advertisements. Their services aim to facilitate efficient navigation and feature utilization for visitors, making it a key player in the realm of user experience and web performance optimization.
August 30

Technology • SaaS • eCommerce
Sumble is a technology company that enhances user experiences by utilizing cookies to streamline browsing, personalize content, and analyze website traffic. It ensures secure logins and compliance with user consent preferences, while also leveraging analytics to improve site performance and offer tailored advertisements. Their services aim to facilitate efficient navigation and feature utilization for visitors, making it a key player in the realm of user experience and web performance optimization.
• Sumble is building a knowledge graph from web data with a first focus on data for go-to-market teams • Uses sources like job posts and resume data to identify org structure, tech stack, and key projects • Product has strong product-market fit, early revenue, and happy customers • Team of 15, including 10 engineers with experience at Google, Meta, Stack Overflow, and Kaggle • Own product design (UX/UI) and brand/visual design • Distill complex data into clear, usable interfaces • Help establish a design system and visual standards to scale across product and marketing (web, social, decks and campaigns) • Create intuitive flows across landing pages, PLG onboarding and upsell triggers • Work with founders, engineers, and GTM to bring features to life end-to-end • Prototype & iterate quickly using lo-fi sketches and hi-fi prototypes to validate ideas • Tech stack: Python, FastAPI, React, Typescript; Google Cloud Platform (GCP); PostgreSQL, AlloyDB; PyTorch, Huggingface, vLLM, Skypilot, Marimo, Prefect; Cloud Run; Figma, Vercel V0 • Challenges: transforming noisy datasets into high-quality data products; running expensive analytics efficiently; managing complexity of many data sources and ML models; creating UX that supports both high-level aggregations and granular source data
• Located within Americas timezones
• Medical, dental, and vision (US) • 401k (US) • Target 4 weeks PTO
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