Growth Marketer, AI-Native

Lever, Inc.; New York (NY); On-site; USD 80,000 - 180,000; Full time

Benefits offered by this job

Base salary 80k–180k USD

401(k) profit sharing

Unlimited PTO

Medical, vision, dental insurance

Direct access to leadership

Tooling & experimentation budget

Promotion tied to output

Job summary

Lever, Inc. in New York builds production AI systems for enterprises and is an AI-first integrator and Claude Partner. We seek a marketer who can tell the story of what we build and who can code enough to create simple tools that speed storytelling.

You will translate engineering work into videos, writing, and demos, own channels like LinkedIn and YouTube, and run experiments with real budgets and autonomy.

Qualifications

• You have shipped things people used (campaigns, channels, launches, tools).
• You write well and have a point of view.
• You are genuinely interested in AI and read about it.
• You are comfortable around code and can build a simple tool.

Responsibilities

• Turn real engineering work into stories people share. Sit near AI system teams and translate what they built into video, writing, and demos that travel.
• Own channels outright. Write, publish, and measure across LinkedIn, YouTube, X, and future channels.
• Run experiments with real budgets and autonomy, and show your numbers.
• Build simple tools when faster than waiting on others, e.g., a scraper, a pipeline dashboard, or a launch microsite.

Skills

Storytelling

Content writing

Code literacy

Tools

Python

TypeScript

Job description

We build production AI systems for enterprises. We are an AI-first systems integrator and a Select-tier partner in Anthropic's Claude Partner Network, among the first integrators selected. The work is good. Most people have never heard of it.

That is the job.

We are looking for a marketer, first and foremost, who can tell the story of what we build in a way that actually travels, and who is comfortable enough with code to build simple tools that make that storytelling faster and sharper. Not an engineer who writes copy on the side.

What you will do:

• Turn real engineering work into stories people share. Sit close to the teams shipping AI systems for banks, healthcare companies, and PE-backed operators, and translate what they built into video, writing, and demos that travel
• Own channels outright. Write, publish, and measure across LinkedIn, YouTube, X, and whatever channel matters six months from now that does not matter today
• Run experiments and kill the ones that lose. Real budget and real autonomy, in exchange for showing your numbers
• Build simple tools when it is faster than waiting on someone else. A scraper that watches what our market is saying. A dashboard that shows which stories moved pipeline. A microsite for a launch

What we are looking for:

• You have shipped things people used. A campaign, a channel with a real audience, a launch, a tool. We care more about what you made than where you interned
• You write well and you have a point of view. You can hold attention for 90 seconds on video and 900 words on a page
• You are genuinely interested in AI, not performatively. You read the papers or you read the people who read the papers, and you have changed your mind about something in the last six months
• You are comfortable around code. Python or TypeScript at a working level. You use Claude Code, Cursor, or equivalent day to day, enough to build a simple tool yourself rather than wait on engineering
• You are anywhere from your first job to a few years in. If you are early, show us an internship where the bar was high and a portfolio with range
• You are in New York or San Francisco, or you will be

What we offer:

• Base salary of $80,000 to $180,000 depending on level and location, plus performance bonus
• 401(k) profit sharing plan after probation period
• Unlimited PTO policy
• Medical, vision, and dental insurance
• Direct access to the people building the systems and to the executives selling them. Small team, no layers between you and the work
• A budget for tools, models, and experiments, with no approval chain under a threshold
• Promotion tied to output, not tenure