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Aifund2mo ago

Founding Engineer (AI-Native)

United StatesSan FranciscoFull timemid
Data ScienceOtherExecutiveFounder
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Quick Summary

Overview

Who we are Vidably is building the evidence layer for commerce: verified buyer video, structured with AI, and tied to outcomes. UGC video contains more product truth than specs, studio media,

Technical Tools
Data ScienceOtherExecutiveFounder
Who we are
Vidably is building the evidence layer for commerce: verified buyer video, structured with AI, and tied to outcomes. UGC video contains more product truth than specs, studio media, or text reviews because it shows fit, feel, use-case, and tradeoffs in real contexts. It is how people actually decide what to buy.

Today, the most impactful buyer video lives on platforms like TikTok and Reels, disconnected from product pages, outcomes, and brand control. Vidably brings that content onto owned commerce surfaces, uses AI to turn it into structured, SKU-level evidence, and measures what actually drives conversion. We share incremental value with creators, which unlocks far more high-quality buyer video and a system that learns what matters for each product.

This is the missing input for shopping agents. The same signals humans use to buy confidently are the signals an agent needs to recommend, compare, and explain products with real evidence, not guesswork.

Vidably is backed and supported by AI Fund.  Founded by Andrew Ng, AI Fund is backed by over $370 million. As a venture studio, AI Fund works alongside entrepreneurs, venture funds, and corporate partners to build new companies rapidly and increase their odds of success.

About the role
This is a hands-on, jump-into-anything role on a small, talented team. You'll help build the AI-powered evidence layer for commerce, making Vidably self-serve and reliable across real Shopify storefronts. Candidates must currently be based in the Bay Area. Relocation will not be an option for this role.
  • Build and ship across the full stack: Shopify app, storefront widget, AI extraction pipeline, internal tooling
  • Harden a live Shopify app and storefront integration across OS 2.0 and legacy theme realities with safe rollouts and easy rollback
  • Extend the mobile web creator upload flow with Mux: QR → prompt → record/upload → consent → submit
  • Turn raw buyer video into structured product evidence at scale: AI extraction, review/approve/publish, and self-serve tooling
  • Onboarding new customers becomes boring and repeatable
  • Founder minutes per merchant drops materially because workflows are productized
  • We can scale customers without bespoke engineering per store
  • You've shipped to production across the stack and you close loops fast — you design, build, debug, and operate
  • Strong fundamentals: performance, reliability, security, and product/UX judgment (especially on conversion-sensitive surfaces)
  • AI-native builder: you ship production code with agentic tools (Cursor, Claude Code, Codex CLI, similar).
  • You use AI for speed, keep quality high with tests/CI/observability, and can debug when AI output is wrong
  • Thrive in ambiguity and a very small-team environment.
  • You're excited to learn new tools and domains fast, and you jump into whatever needs doing
  • Shopify apps/theme integration experience, or embedded widget/SDK experience in hostile third-party environments
  • Video pipeline familiarity (Mux or similar)
  • Experimentation/analytics rigor: clean event design, integrity checks, debugging

    • Listing Details

    Posted
    February 17, 2026
    First seen
    March 26, 2026
    Last seen
    April 24, 2026

    Posting Health

    Days active
    29
    Repost count
    0
    Trust Level
    25%
    Scored at
    April 24, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust
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