Summary
Provectus builds production AI systems for enterprise clients and is seeking an AI-native growth marketer who can communicate the business and technical value of those systems. The role combines positioning, content creation, channel ownership, marketing experimentation, and hands-on development of AI-powered marketing tools.
Responsibilities
- Tell both halves of the story. Sit close to the teams shipping these systems, understand what was actually hard, and translate it into video, writing, and demos that travel. Then go a level up: what the system changed for the operator, what it cost, what it replaced, why the CFO signed
- Shape how Provectus is positioned. Not just the case studies but the argument above them. What we stand for, which problems we claim, where we say no. You will have a real hand in that, not a style guide to follow
- Build the tools that make the marketing work. A scraper that watches what our market is saying. An agent that drafts case studies from delivery artifacts. A microsite for a launch. A dashboard showing which stories moved pipeline. You write the code. You do not file a ticket and wait
- 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, real autonomy, in exchange for showing your numbers
Skills
- You have shipped things people used
- A side project, a channel with an audience, a tool, a launch
- 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 curious about how companies make money
- You can read a business case and find the part that actually matters
- You can sit with a CFO or a PE operator and not reach for features
- You code
- Python or TypeScript, comfortably
- You use Claude Code, Cursor, or equivalent every day and you have opinions about them
- You have built something agentic that does actual work
- You are interested in AI for real
- You read the papers, or the people who read the papers, and you have changed your mind about something in the last six months
- You are anywhere from your first job to your tenth year
- Three levels, one bar: what have you made
- If you are early, show us an internship where the bar was high and a portfolio with range
- If you are senior, tell us what you built with your own hands in the last 90 days
- You are in New York or San Francisco, or you will be
Qualifications
Must Haves
- You have shipped things people used
- A side project, a channel with an audience, a tool, a launch
- 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 curious about how companies make money
- You can read a business case and find the part that actually matters
- You can sit with a CFO or a PE operator and not reach for features
- You code
- Python or TypeScript, comfortably
- You use Claude Code, Cursor, or equivalent every day and you have opinions about them
- You have built something agentic that does actual work
- You are interested in AI for real
- You read the papers, or the people who read the papers, and you have changed your mind about something in the last six months
- You are anywhere from your first job to your tenth year
- Three levels, one bar: what have you made
- If you are early, show us an internship where the bar was high and a portfolio with range
- If you are senior, tell us what you built with your own hands in the last 90 days
- You are in New York or San Francisco, or you will be
Benefits
- Performance bonus
- Direct access to the people building the systems and 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.
- 401(k) profit sharing plan after probation period
- Unlimited PTO policy
- Medical, Visual and Dental insurance