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Full-Stack AI Builder Intern

Exceeds AI
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Full-Stack AI Builder Intern

Build across product, growth, sales, and customer experience. Ship real things.


Company

Exceeds AI


Location

Hybrid (Santa Clara, CA office)


Duration

3–6 months, with potential to convert to full-time


Compensation

Paid internship
 

Reports to

CEO / Co-Founder

 

To Apply:

Please include links to evidence of your work (GitHub projects, videos of agentic workflows you've designed, et.al)  anything with evidence that you fit the profile below. Applicants without this information or supporting links will be immediately rejected.

 

The role

We’re seeking a tenacious, creative builder for an internship at Exceeds AI. Our mission is to help organizations adopt AI with confidence and translate it into measurable impact. We deliver AI observability and actionable insights so engineering and product teams can see what works and scale it across their workflows. By tying AI performance directly to outcomes, we enable builders to realize their potential and drive adoption across teams.

You won’t shadow people. You won’t sit in meetings all day. You’ll build real things that ship to real customers, working inside the actual codebase alongside engineers, running outbound campaigns, and talking to customers. All of it, from day one.

We need someone who is AI-native. Not "interested in AI." You already use Claude Code, Cursor, or something similar to build working software. You’re not a traditional engineer, and we don’t need you to be. We need someone who uses AI tools to move at the speed of three different job titles.

The scope isn’t fixed. One week you’re improving an onboarding flow in the codebase. Next week you’re building an agentic outbound pipeline. The week after that, you’re synthesizing customer research into a product spec for the engineering team. What stays constant: you figure things out, you ship, and you don’t wait around to be told what to do.


 

What you’ll do

Build in the codebase with engineers

  • Use Claude Code and AI-assisted dev tools to build prototypes, improvements and fixes that go to production, not a demo folder. We don't expect you to ship production-ready code, but to be able to work with code to communicate your ideas and prototypes with the engineering team.
  • Write product specs engineers can actually build from: problem statement, acceptance criteria, edge cases. No hand-waving.
  • Improve onboarding flows, UI, and in-app copy based on what customers tell you (and what they don’t)
  • Join planning and reviews. You’re in the workflow, not watching from a distance.

Run and scale outbound

  • Build agentic workflows (n8n, Make, Clay, custom scripts) that research prospects, personalize emails, and run outbound at volume
  • Iterate on copy and targeting based on what’s actually converting. Kill what isn’t.
  • Own parts of the pipeline end-to-end: from lead research through first reply

Own customer experience

  • Run support using whatever tool we’re on. Never used it before? Figure it out. That’s the job.
  • Do customer research calls. Listen. Synthesize patterns. Turn what you hear into product recommendations.
  • Be the connective tissue between what customers say and what engineering builds

Whatever else the business needs

  • Sales enablement, internal tooling, data analysis, partnerships, content. This list will grow.
  • The expectation is that you use AI tools to do more, faster, than anyone would think one person could.

 

What we’re looking for

GPA, school name, prior job titles: we genuinely don’t care. We care about what you’ve built and how you think. Your application will pass through on the evidence you provide.

 

How to prove you’re the right person

For each qualification below, we’ve written out exactly what "proof" looks like. If you can’t point to something concrete, that’s fine. Go build something and come back.


 

1. You build things with AI tools

You use Claude Code, Cursor, Copilot, Windsurf, or something like them to build functional software. Not as a novelty. As your default way of working.

Proof: Your GitHub profile. We want to see repos where you used AI-assisted tooling to build something real: a web app, an automation, a CLI tool, a bot, whatever. Bonus if you include a short README or Loom walkthrough of your process.
 

2. You’ve built an automation or agentic workflow

You’ve connected systems together: APIs, AI models, data pipelines, outbound sequences. Something that runs automatically and saves hours of manual work.

Proof: The workflow itself, a screenshot of it running, a video, or a write-up. Side project, hackathon entry, something from a previous job. We want to see that you think in systems, not in tasks
 

3. You communicate clearly in writing

You’ll write product specs, outbound emails, support replies, customer research summaries, and internal docs. Writing is a core output of this role, not a side activity.

Proof: Your application email is the test. We’ll also look at blog posts, documentation, READMEs, or specs you’ve written. If you can explain a technical concept to a non-technical audience without dumbing it down, that tells us a lot.
 

4. You’re a self-starter

Nobody here is going to hand you a detailed playbook. You need to look at what needs doing, pick it up, and make progress without constant direction. This is a startup. That’s how it works.

Proof: Tell us about a time you taught yourself something hard, shipped something without being asked, or took on a problem that wasn’t in your job description. Be specific. We don’t want a paragraph about "leadership." We want to know what you actually did.

 

Nice to have (not required, but we’ll notice)

  • Experience with outbound tools (Apollo, Clay, Smartlead, Instantly) or growth tooling
  • You’ve done customer research, user interviews, or run support before
  • You’ve written a product spec or feature brief, even an informal one
  • Some background in AI/ML concepts (helpful for our product, not a requirement)
  • A personal site, blog, or Threads/X presence that shows how you think

 

What we’ll look for in your application

Strong signals

  • GitHub with recent commits and projects that do real things
  • You can walk us through something you built with AI tools and explain why you made the decisions you made
  • You’ve shipped something people actually used, even if it was small or scrappy
  • Your application email is specific, well-written, and shows you’ve looked at what Exceeds AI does
  • You include a Loom, video, or live demo of your work
     

Red flags

  • No projects, no GitHub, no portfolio. Just a resume with coursework listed.
  • "Interested in AI" but hasn’t built anything with AI tools
  • Needs detailed instructions before starting any task
  • Focused on titles or brand-name experience over actual output
  • Generic application that could’ve been sent to 50 other companies

 

Why this internship

You’ll get more ownership in 3 months here than most people get in 2 years at a big company (ask anyone else in our team how true this is). You’ll work directly with the founders. You’ll ship things customers use. And you’ll learn how an early-stage AI startup actually runs, across every function: product, engineering, sales, support, growth.

If you’re great, this can convert to a full-time role as we grow. We’re building the team now, and we hire people who prove they can do the work.

 

How to apply

Contact us with…

  1. Links to your work. GitHub, portfolio, deployed projects, workflow screenshots. This is the most important part of your application.
  2. A short note on what you’d build or improve if you joined Exceeds AI tomorrow. Not a cover letter.
  3. A Loom or video walkthrough of a project you’re proud of. Optional, but it helps a lot.

No cover letters. No generic apps. Show us what you’ve built.