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Senior Designer

Posted 6 days ago

Whether you're looking to get your foot in the door, find the right person to talk to, or close the deal — accurate, detailed, trustworthy, and timely information about the organization you're selling to is invaluable. Find it with Sumble.

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Sumble is building a knowledge graph from web data with a first focus on data for go-to-market teams. We use sources like job posts and resume data to identify things like org structure, tech stack, and key projects (e.g., GenAI initiatives, cloud migrations). Our product already has strong product-market fit, early revenue, and happy customers — and now we’re ready to accelerate.

Our long-term vision is to become the primary destination for accessing high-quality web data. Try the product at https://sumble.com.

Our Team

We are a team of 15, including 10 engineers with experience at companies such as Google, Meta, Stack Overflow, and Kaggle.

What we are looking for:

  • 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 – Use lo-fi sketches and hi-fi prototypes to validate ideas and move fast

Our design principles:

  • Design with the right blend of visual craft, UX conventions, and systems thinking
  • Use our instincts to build interfaces that are joyful out of the box, but are flexible enough to evolve with our users’ needs
  • No black boxes: be transparent with what informs our design decisions so users trust our data and interface
  • Do just enough design: don’t get bogged down in design documentation and decks, but value the ongoing development of standards and infrastructure
  • Design with engineers, founders, and GTM — not downstream from them


Challenges We Tackle:

  • Transforming noisy datasets into high-quality data products
  • Running expensive analytics computations efficiently
  • Managing the complexity of a growing number of data sources, machine learning models, and large data operations
  • Creating a user experience that allows both powerful high-level aggregations AND allows users to also see the granular underlying source data

Requirements

  • Located within Americas timezones

Benefits

  • Medical, dental, and vision (US)
  • 401k (US)
  • Target 4 weeks PTO

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