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Netic

Founding UI/UX Engineer

Reposted 9 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
The UI/UX Engineer will architect, build, and optimize frontend interfaces for AI-powered dashboards, ensuring usability and performance.
The summary above was generated by AI

Netic is the AI revenue engine for essential services who are the backbone of the American economy.

With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic.

You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.

Our UI/UX Engineers create the interfaces that make powerful AI feel intuitive. This role is essential to ensuring that complex automation capabilities are accessible to users who aren't technical experts, bridging the gap between frontier technology and customer’s everyday business operations.

What You'll Do:

  • Own the frontend: Architect, build, and iterate on our dashboards and config UIs that let customers steer and trust our AI-powered revenue engine.

  • Ship polished interactions: Translate Figma mocks into pixel‑perfect, responsive components and features.

  • Optimize for speed: Ensure fast load times and smooth interactions through performance optimization.

  • Bridge frontend ↔ backend: Integrate with APIs and real-time data streams effectively.

  • Guard quality & access: Enforce standards, run usability tests, and work with design to evolve our UX system so every release feels cohesive.

What You'll Bring:

  • Frontend expertise: 3+ years with modern JavaScript frameworks, expert HTML/CSS skills.

  • TypeScript proficiency: Strong experience with TypeScript and state management patterns.

  • Performance obsession: Demonstrated ability to optimize frontend performance in production.

  • Testing discipline: Experience with frontend testing tools and practices, with clear drive to deliver polish.

  • Collaborative DNA: Thrive in Figma‑to‑code loops, and rapid iteration with PMs, designers, and backend peers.

What brings us together is our commitment to:

  • Live to build

  • Run through walls and win

  • Obsess over customers in each line of code

  • Lose sleep over the "almost perfect"

  • Show internal locus of control

  • Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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