Founding Full-Stack Engineer at Helium (S24)
$150K - $200K  •  0.50% - 1.00%
Self Improving Software
San Francisco, CA, US
Full-time
US citizen/visa only
1+ years
About Helium
  • Helium is building Self-Improving Software:
    • Our vision is AI that automatically generates & tests new experiences to lift revenue.
    • To start, we’re automating onboarding flows for mobile apps & quickly expanding to new surfaces.
  • We're an extremely talent-dense team
    • 3/4 of the team previously founded companies
    • All 3 cofounders have ML degrees
    • Generated $Xb in revenue growth for our previous companies.
  • We're scaling quickly
    • Servers have been on fire since launch this Summer
    • We power tens of millions of AI experience for top consumer companies
    • Backed by >$5M from Y Combinator, Google’s AI fund, and leaders from OpenAI
  • Benefits
    • Build on the newest AI models, even before they're released publicly
    • Work with a stellar hard-working team at a prime office in SF
    • All meals (Breakfast, lunch, dinner) while working and gym/transport covered.
About the role

Helium is building Self-Improving Software: AI that automatically generates & tests new software experiences to lift revenue. We’re…

  • Talent-dense (8 people, 6 engineers, 75% ex-founders)
  • Well-funded ($6M from Google & Leaders from OpenAI)
  • Fast-growing (Serving tens of millions of AI experiences per day for top consumer companies).

AI has created a once-in-history opportunity, and we’re here to win, because of that…

  • 🔴 We work in-person in our SF office 6 days per week (Mon-Sat). 🔴

What You’ll Do

You’ll own big chunks of our AI Experience Generation product serving millions of users per day, including…

  • Adding new features to the front-end Next.js application and deploying scalable Golang code that serves thousands of requests each second globally.
  • Writing and deploying scalable Golang code that serves thousands of requests each second globally.
  • Tune/Optimize/Load test our servers as we 10x our growth from tens of millions to hundreds of millions of users per day.
  • Designing data systems and ML training infrastructure that power automated experimentation at scale.
  • Work directly with founders and customers to design, implement, and deliver the best experiences!
  • Wearing a lot more hats than listed above 👷.

What We’re Looking For

  • Keen problem solving skills: you are able to cut down ambiguous problems down to first principles and deliver a working solution.
  • Strong programming/full-stack foundation: You’re comfortable working on both backend code as well as frontend React code.
  • Experience working directly on user-facing products: you are able to figure out and understand what the user needs, including talking to customers
  • Stellar cross-functional communication skills: you are able to adapt to our ways of working and be an efficient/effective communicator.
  • Owning features end to end: you’ll write your own PRDs/quick specs when necessary, and you test your features end to end to make sure they work and satisfy the requirements

Nice To Haves

  • Experience with ML/AI/LLM integration in applications
  • Experience building scalable backend systems with very demanding SLAs
  • Background working with design tools, chat experiences, or vibe coding tools
  • Previous experience founding or working at a high-growth startup

Reasons This Role Might Not Be A Fit

  • You want to work 9-5
  • You avoid Cursor or AI coding tools.
  • You can only operate on well-written specs, or feel uncomfortable designing new experiences from scratch.
  • You don’t want to talk to customers.

Our stack:

  • Next.js (React/Typescript), Zustand
  • AI (vercel) SDK
  • Tailwind/Shadcn
  • Supabase
  • Clickhouse
  • Golang/Fly.io
  • Mobile: Swift, Flutter, Expo, Android
Technology

Here are the technical problems you're solving:

RL for software personalization - dynamic assignment of price, paywalls, and experiences to different users based on what improves metrics

Automated a/b testing - building systems that automatically chooses and runs new paywall experiments to run based on analytics + codegen models

AI editor - think Bolt/Lovable for paywalls

Billion scale content serving - we're building a python service to process thousands of QPS that serving assets to millions of phones daily → soon to be billions

Mobile webview optimization - building a webview layer that feels native across 4 mobile stacks

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