Founding Engineer (AI-Native)

Reposted 18 Days Ago
San Francisco, CA, USA
Hybrid
Senior level
Artificial Intelligence • Financial Services
The Role
Hands-on founding engineer building a production Shopify app, storefront widget, video upload flow, and AI extraction pipeline. Ship, harden, and operate full-stack systems, ensure reliability and conversion-focused UX, and scale tooling for self-serve merchant onboarding.
Summary Generated by Built In
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.

Responsibilities for the Role Include:

  • 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

What Success Looks Like:

  • 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

Required Qualifications Include:

  • 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

Nice to Have Skills Include:

  • 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

Skills Required

  • Shipped to production across the stack and able to design, build, debug, and operate
  • Strong fundamentals in performance, reliability, security, and product/UX judgment (conversion-sensitive surfaces)
  • AI-native builder: ships production code using agentic tools (Cursor, Claude Code, Codex CLI, or similar)
  • Use AI for speed while maintaining quality via tests, CI, and observability; debug AI output failures
  • Thrive in ambiguity and very small-team environments; willing to learn new tools and jump into needed work
  • 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

AI Fund Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AI Fund and has not been reviewed or approved by AI Fund.

  • Healthcare Strength Health coverage is portrayed as strong with great healthcare and dental coverage, plus vision insurance, long-term disability, and life insurance. Feedback suggests this aligns with tech-standard benefits for US roles at a small venture studio.
  • Retirement Support Retirement benefits include a 401(k) plan with employer match for US employees. Feedback suggests this forms part of a competitive total package for fund roles.
  • Parental & Family Support Family support includes fully paid parental leave for applicable roles. Feedback suggests this is a standout benefit for an organization of this size.

AI Fund Insights

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The Company
HQ: Palo Alto, CA
34 Employees
Year Founded: 2017

What We Do

Who is AI Fund? We are a team of AI pioneers, proven entrepreneurs, seasoned operators, and venture capitalists that collaborates with leading entrepreneurs to solve big challenges using artificial intelligence. Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock. How Are We Different? We work with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential – this is a reality we understand. This is the period when decisions on product strategy, market fit, and team are most critical, moving fast and fixing parts of your business when you have limited resources is a challenge. We believe the best way to help entrepreneurs is by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making the right decisions at the right time can often make the difference. We are here to improve these dynamics, at a time when the help matters the most. Why Work With AI Fund? Getting a startup from idea to Series A funding is not easy. We’ve been there and understand the challenges you must overcome. Whether you desire limited help and just want access to our unique ecosystems of AI experts and entrepreneurs or you would like our full support, we are interested in the opportunity to help in your success. We are flexible in how we work with companies, but ultimately, we are here to maximize your chance of success and accelerate getting your company to market. We provide the capital, expertise, and resources to accelerate the work required to minimize risks in your startup, help you rise above the noise, and make your company more attractive to new investors.

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