AI Marketing Engineer

Provectus builds production AI systems for enterprises as an AI-first systems integrator and Anthropic Claude Partner Network Select-tier partner. The AI Marketing Engineer will translate engineering work into compelling content, build marketing tools and automation, own marketing channels, and run data-driven experiments.

What you'll do:

• **Turn real engineering work into stories people share.** You will 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
• **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 that shows 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 and real autonomy, in exchange for showing your numbers

What they're looking for:

• You have shipped things people used
• 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 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 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 0 to 2 years in, with an internship where the bar was high and a portfolio that shows range
• You are in New York or San Francisco, or you will be

Benefits:

• 401(k) profit sharing plan after probation period
• Unlimited PTO policy
• Medical, Visual 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