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Embedding VC

Early-stage venture fund for Generative AI

Product Designer

Full-TimeUpdated on 10/23/2026
$120k - $170k/yr+ Equity
Junior, Mid
Mountain View, CA, USA
Hybrid
Product & Experience DesignProduct Design

About the job

Requirements
  • 1–4 years of experience in UI/UX design or a related role, with shipped work the candidate can walk through.
  • A portfolio showing both web and mobile product design, including responsive web and native iOS/Android patterns.
  • Strong user experience fundamentals, including information architecture, interaction design, user flows, and usability.
  • Strong visual craft in layout, typography, hierarchy, and attention to detail.
  • Evidence of systems thinking through reusable components, patterns, or a design system built or contributed to.
  • Fluency in Figma and rapid prototyping.
  • Ability to explain and defend design decisions to engineers and stakeholders in clear written and spoken English.
Responsibilities
  • Own end-to-end product design for web and mobile, including discovery, user flows, wireframes, prototypes, and polished user interfaces.
  • Frame problems before solving them by talking to users, studying how they work, and challenging requirements when a better answer exists.
  • Build the design system from scratch, including foundations such as color, typography, spacing, iconography, and tokens, plus a shared component library used across products.
  • Design consistent experiences across products and platforms so each new product starts from the system rather than a blank page.
  • Partner closely with engineers to ship by prototyping quickly, handing off clearly, and reviewing what is built to maintain quality.
  • Use research, usability testing, and product data to validate decisions and improve live products.
  • Help shape team practices through design reviews, critique, and processes for a growing product team.
Desired Qualifications
  • Experience as an early or founding designer at a startup or on a new team.
  • Experience with design tokens, theming, and accessibility standards such as WCAG.
  • Ability to prototype in code using HTML/CSS or React, or comfort using AI tools in the design workflow.
  • Experience designing data-dense or workflow-heavy tools such as dashboards, internal tools, marketplaces, or B2B platforms.
  • Background in AI products, data platforms, or work involving remote expert contributors.

About the company

Embedding VC is an early-stage venture fund that backs Generative AI startups. It provides seed to early-stage capital and operational guidance, leveraging a team of current and former builders and operators who can help portfolio companies grow. The fund’s approach centers on working closely with founders and using hands-on experience to scale AI projects, including those aiming toward AGI, during a period described as a new computing super cycle driven by AI innovations. Unlike funds that rely mainly on financial leverage, Embedding VC differentiates itself through its deep operator network, practical support, and focus on and commitment to building capable, scalable AI businesses. The overall goal is to support ambitious AI founders to advance the development and deployment of AI technologies and capture value in the expanding AI ecosystem.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Menlo Park, California

Founded

2023

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Simplify's Take

What believers are saying

  • Embedding VC's July 2026 site update confirms active positioning in Menlo Park.
  • Roger Luo reports over forty startup investments, including three IPOs and nine exits.
  • The fund claims portfolio support wins, including AppViewX integration and Bessemer placements.

What critics are saying

  • Portfolio concentration in frontier AI ties returns to a crowded, winner-take-most market.
  • No recent public fundraising or new flagship exits reduces evidence of momentum.
  • Founder-led branding around Roger Luo creates key-person risk if he steps back.

What makes Embedding VC unique

  • Roger Luo markets Embedding VC as an operator-led Generative AI fund.
  • The firm targets pre-seed and seed AI founders, not broad venture.
  • It emphasizes hands-on startup building through its Founder-in-Residence program.

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Benefits

  • Health Insurance
  • Company Equity

Growth & Insights and Company News

6 month growth

6%

1 year growth

13%

2 year growth

-5%
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