AI-native Growth Hacker at Hercules

Hercules is hiring AI-native growth hackers. Your job is to help us grow from 100k users and $XM of revenue to 100M users and $100M+ revenue as quickly as possible. You will have an unlimited AI budget.

We are looking for true AI power users. Not people who use ChatGPT to be 10 to 20% more productive. We want people who can use AI plus code to 100x themselves and do things that were not possible two years ago.

If you are a growth hacker at the cutting edge of AI, with a voracious appetite for experimentation, and you want the budget to scale your best playbook, this role is for you.

What you will do

• Pick one specific growth wedge and own it end-to-end (programmatic SEO, paid ads, lifecycle, etc.).

• Build an AI-driven system to execute it at scale.

• Run tight loops: ship, measure, learn, repeat.

• Turn what works into durable infrastructure we keep scaling.

What skills you need need

• Exceptional AI skills (asynchronous agents, automations, evals and QA).

• Strong communication.

• Ability to code (TypeScript-first).

• Track record running successful, large-scale growth strategies

How we operate

• Urgency: ship fast, iterate, correct quickly.

• Excellence: have taste, get the details right, make outputs simple and self-serve.

• Hunger: work hard, do what it takes, be politely relentless.

Your application

Pick ONE specific growth play that will have the highest impact and describe it below (examples: programmatic SEO, TikTok ads, partnerships, lifecycle email).

In your answer, include:

1. The play: What exactly is your play? How does it work? What are the outputs?

2. How you will use AI to 100x impact: which AI tools/workflows will you use? How will you ensure high quality?

3. Measurement: What metrics will you track? How will you iterate / experiment?

4. CAC Payback: How you will ensure this play is profitable?

If we like you and your idea we will quite literally hire you on the spot to go implement this play.

Compensation

$100k to $250k plus equity (based on seniority and location).