You are viewing a preview of this job. Log in or register to view more details about this job.

AI Summer Intern

MOSH — The Brain Brand
JOB DESCRIPTION
AI Summer Intern

Department: Office of the President & COO
Reports To: Jeff Gamsey, President & COO
Location: Los Angeles (in-person preferred)
Term: Summer 2026 (10-12+ weeks)
Compensation: $30-$70/hour, commensurate with experience and skill set

ABOUT MOSH

MOSH is the brain health functional food company co-founded by Maria Shriver and Patrick Schwarzenegger to advance the fight against Alzheimer's. We make protein bars and wellness products grounded in nutrition science, and we donate a portion of every sale to brain health research through Maria's Women's Alzheimer's Movement. MOSH is one of the most explosive, fastest-growing brands in CPG today — with a chain-wide Target launch underway, and serious momentum across DTC, Amazon, Sprouts, and Kroger. We're heading toward roughly 6,000 retail doors by year end on a 13-person operating team, which means every person here has outsized impact and a front-row seat to what fast scaling actually looks like.

THE ROLE

We're looking for two to three sharp, AI-obsessed UCLA students — undergrad or graduate — to join us this summer to help turn MOSH into an AI-native, automation-first company.

This is not a research role and it is not a coffee-fetching internship. You will sit alongside the President & COO and our functional leads in finance, marketing, sales, operations, and customer experience, and you will ship real, working tools. The mission is simple: take messy, manual, cross-channel work — financial reporting, retail velocity tracking, support analysis, marketing reporting, demand planning — and replace it with live, AI-driven workflows that make the team faster and smarter without growing headcount.

If you're the kind of person who has been quietly building agents, automations, and prompt libraries on your own time, and you want to see what happens when those skills get pointed at a real, fast-growing CPG business with a meaningful mission — read on.

WHAT YOU'LL BUILD

Workflow Audit & Automation
- Sit in on team workflows across DTC, Amazon, wholesale, finance, marketing, and CX, and identify the highest-ROI manual workflows to automate.
- Design and ship AI-driven automations that eliminate grunt work — spreadsheet merges, reconciliations, recurring reports, manual deck building, support ticket triage.
- Build small, sharp internal tools and agents — meeting summarizers, ticket classifiers, retail velocity readers, anything that meaningfully changes how the team operates.

AI-Native Reporting & Data Plumbing
- Help replace static dashboards and PDF reports with live, AI-driven reporting that leadership can query in plain English.
- Connect and structure data from Shopify, Amazon Seller Central, wholesale portals, our 3PL, and the finance stack into clean, AI-friendly schemas.
- Prototype AI-generated narrative outputs for board updates, channel reviews, and the weekly exec briefing.

Cross-Functional Implementation
- Translate "I wish this were easier" conversations with functional leads into concrete, scoped AI projects with measurable ROI.
- Own implementation end-to-end: scope, build, test, deploy, document, train the team.
- Roll out templates, prompts, and usage patterns so the broader team can self-serve, not depend on you.

Experimentation
- Run an active backlog of AI experiments across support ticket analysis, customer review mining, marketing analytics, retail velocity, demand signals, and emerging agentic-commerce surfaces.
- Measure what you ship in time saved, errors avoided, dollars saved, and decision speed gained — and present those results to the team.

WHO YOU ARE

- A current UCLA undergraduate or graduate student in any field — engineering, computer science, business, statistics, design, neuroscience, or otherwise. We care more about what you've built than what you're studying.
- AI-native and AI-obsessed. You use Claude, ChatGPT, and other models daily. You've designed your own prompts, built agents, or wired up automations because you wanted to, not because someone assigned it.
- Technical enough to write Python, hit APIs, and stitch together tools like n8n, Make, or Zapier. You don't need to be a full-stack engineer, but you need to be able to build.
- A systems thinker. You can look at a messy workflow and see how it should connect.
- Smart, hungry, and a builder over a talker. You ship things, then iterate, then measure.
- Curious about the business itself, not just the tech. You want to understand how a CPG brand actually works — unit economics, retail dynamics, brand-building — and you'd rather sit in an S&OP meeting than a hackathon.
- A clear communicator who can explain a technical solution to a marketing director, a finance lead, or the founders without losing them.
- Available for a 10-12 week summer commitment, full-time preferred. Based in or relocating to Los Angeles for the summer; in-person at our Sherman Oaks-area workspace is strongly preferred.

BONUS POINTS

- You've shipped an AI tool or automation that saved real time or money — and you can show us what you built.
- Familiarity with e-commerce stacks (Shopify, Amazon Seller Central, EDI, 3PL systems) or wholesale data feeds.
- Background in data science, analytics, financial modeling, or operations research.
- Past internship or project experience at a startup, CPG company, agency, or AI-native team.

WHAT YOU'LL GET OUT OF IT

- By the end of the summer, you will understand how a modern omnichannel CPG business actually operates end-to-end — DTC unit economics, Amazon dynamics, how retail buyers think, what an S&OP meeting actually looks like, what it takes to land and execute a chain-wide retailer launch, and how a founder-led brand gets built. The hands-on equivalent of an MBA in CPG, compressed into a summer — except you spend it shipping AI tools instead of writing case studies.
- Direct access to the President & COO and the senior team. The work you do will be visible to the founders, including Maria Shriver and Patrick Schwarzenegger.
- A real seat at the table. You'll sit in on exec meetings, S&OP, channel reviews, and investor prep, and your output will shape decisions.
- A portfolio of shipped, named AI tools you actually built — not slide decks describing what you might have built.
- Mentorship from a lean, no-bureaucracy operating team running one of the hottest, fastest-growing brands in CPG.
- Competitive hourly compensation, a flexible schedule for finals or other obligations, and as much MOSH product as you can eat.
- A path to a full-time conversation in 2026 for the right person.

HOW TO APPLY

We are looking for builders. The application is designed to find them.

Send an email with the subject "AI INTERNSHIP APPLICATION" to jeff@moshlife.com:

- A resume with GPA.
- Links — not descriptions — to two or three things you have built with AI. GitHub repos, deployed apps, demo videos, screen recordings, Replits, threads, anything live we can click. Throwaway projects count. Side projects count. We care more about evidence that you ship than about how polished any one project is.
- Two things to send.

A. The failure story. Pick one of the projects you linked above. In two paragraphs (or a 60-second video), walk us through the worst decision you made in building it — what it was, when you realized it was wrong, and what you'd do differently next time. We're testing whether you really built it.

B. An automation spec. Spend twenty minutes on moshlife.com and our Amazon listings. Then pick one specific, recurring manual workflow that you would bet exists at MOSH today — weekly channel performance reporting, support ticket triage, inventory alerts, retail velocity readers, finance reconciliation, customer review mining, whatever you'd guess gets done by hand. Write us a one-page spec for the v1 you would build to automate it.

Your spec should answer:

- The job to be done. What's the process today, who does it, how often, why does it suck? Be specific — not "marketing reporting" but "compiling Monday's exec deck from Shopify, Amazon Seller Central, Klaviyo, and Meta Ads."
- The v1 build. What tools would you wire together — LLMs, APIs, scripts, automation platforms, storage? What's the trigger, what's the output, where does the AI actually do real work versus just move data around? Name the tools. Sketch the flow. We want to see that you've done this before, not that you've read about doing it.
- Where it breaks first. What's the likeliest failure mode in the first month, and how would you handle it?
- The honest ROI. Hours saved per month, errors avoided, decisions accelerated — your real estimate, not a pitch number. If it's small, say it's small.
- v2. Once v1 is running, what's the next thing you'd build on top of it?

One page. Diagrams welcome. We are not looking for polish — we are looking for someone who thinks in systems, knows the tools, and ships things that work.

A FEW HONEST NOTES

- Specific beats polished. If you used AI to help write your application, that's fine — we use AI for everything around here. But your voice and your actual experience have to come through. We are hiring you, not your model.
- Working beats theoretical. We value builders over talkers. Show us what you have made.

MOSH - The Brain Brand - www.moshlife.com