Live roles

Editor’s noteCreative AI specialist role building automated pipelines for video ads and social content at scale — heavy on AI generation tools and workflow engineering, light on traditional dev.

Editor’s noteContent creator role using AI tools daily to produce marketing assets for restaurant tech partnerships — you ship copy, visuals, and video, not code.

Editor’s noteContent creator role using generative AI to produce Instagram videos — you make the content, not the models.

Editor’s noteOwns end-to-end AI media workflows — designing pipelines, embedding eval logic, and shipping automation that replaces manual production work, with a Sweden remote constraint.

Editor’s noteAI adoption role in government — you teach public servants to use ChatGPT, build their communities, and create the content that makes AI stick; light on dev, heavy on enablement craft.

Editor’s noteCreative producer role centered on using GenAI to scale mobile game ads — you ship creatives, not code.

Editor’s noteCreative-technologist role at Princeton using AI tools (Claude, Runway, Suno, Elevenlabs) to architect and automate multi-platform marketing campaigns — you generate content at scale, not build software.

Editor’s noteEmbedding AI into business operations — you ship working agentic workflows (n8n, vibecoding) and measure them against cycle-time and quality thresholds.

Editor’s noteEnablement-focused AI role building workflows and training GTM teams to use AI tools — you ship the adoption, not the platform.

Editor’s noteEnables field teams to understand, adopt, and sell OpenAI products — builds systems and workflows rather than training content, with automation and AI as tools.

Editor’s noteEnablement role driving AI adoption across business teams — heavy on use-case mapping, workflow design, and change management, not implementation.

Editor’s noteGrowth marketer seat where you build and run AI agent workflows for content, paid, and distribution — one-person output at 10-person scale, minimal traditional marketing ops.

Editor’s noteEnablement role building AI fluency inside a marketing insights team — you own the AI playbook, run pilots, and make the team more capable, not the AI systems themselves.

Editor’s notePrompt-crafting role for an AI companion character — you're writing and iterating on the prompts that define personality, voice, and emotional range, not engineering the platform.

Editor’s noteEnablement role getting AI workflows adopted across a 90-person firm — you build the playbooks, train the teams, and raise everyone's AI fluency, not just run your own workflows.

Editor’s noteForce-multiplier ops role applying AI tools like Zapier and ChatGPT to automate internal workflows at a science-AI startup — you own operational systems, not the AI platform itself.

Editor’s noteOperations role building and tuning AI workflows with Make, Airtable, and LLMs — you ship the automation, not the platform.

Editor’s notePrototype role at Adobe building creative AI tools and automations — vibe coding encouraged, low-code-first, you ship functional demos, not production platforms.

Editor’s noteStartup-in-a-corp unit for live commerce — vibe code 48-hour prototypes and agentic tools, then ship to production with continuous iteration.

Editor’s noteCreative technologist role building AI-powered marketing assets and shipping prompt libraries that let non-designers generate on-brand visuals — vibe coding required, platform engineering minimal.

Editor’s noteEarly-career ops seat building and managing AI agents for marketing campaigns — you ship automation across B2C/B2B workflows, light on dev for a product builder.

Editor’s noteAI adoption lead role at a humanitarian org — the title suggests heavy enablement and workflow integration work, but the actual description content was missing from the scrape.

Editor’s noteEnablement seat getting AI tools actually adopted across teams — you audit workflows, build training, and translate AI for non-technical folks; light on building, partner with tech team for custom solutions.

Editor’s noteHands-on AI ops role building and running automation workflows in marketing with Zapier/Make — you ship the automation, not the platform.

Editor’s noteContract eval/annotation role for AI output quality — you judge whether AI-generated content meets accuracy, cultural, and brand standards, with flexible hours and no coding required.

Editor’s noteGTM analyst role where you build AI workflows and enable your team to use them — light on dev, heavy on training and adoption.

Editor’s noteDelivery-focused ops role running complex AI implementations inside Fortune 500s — you own program outcomes and client trust, not the engineers doing the building.

Editor’s noteAI adoption role in finance ops — you build learning pathways, playbooks, and champions networks so non-technical employees ship AI prototypes, not production systems.

Editor’s noteCustomer success role owning AI adoption and capability building across enterprise accounts — you train champions and run workshops, not build product.

Editor’s noteConversation design role writing prompts, optimizing chatbot flows, and QA-testing LLM experiences for customer journeys.

Editor’s noteConsultant role building AI playbooks, competency rubrics, and adoption dashboards for GTM and ops teams.

Editor’s noteCreative production role using Midjourney, Stable Diffusion, ComfyUI, and prompt iteration to make client-ready visuals.

Editor’s noteRed-team role finding jailbreaks, ranking model failures, and documenting attack paths so safety teams can patch them.

Editor’s noteAI product role taking agent features from concept to launch, with workflow tuning and interface design in the mix.

Editor’s noteCustomer-facing adoption role building champion communities, workshops, and trainer programs around enterprise AI use cases.

Editor’s noteCreative pipeline architecture role building AI workflow systems and scripts, more technical than most operator seats.

Editor’s noteEmployee enablement role coaching teams on Copilot, prompt patterns, and practical AI use inside day-to-day business work.

Editor’s noteTurns enterprise AI rollouts into workshops, champion networks, and trainer programs, heavy on adoption, light on dev.

Editor’s noteHands-on enablement role embedding with teams to build AI automations, drive tool adoption, and turn proven workflows into playbooks.

Editor’s noteEmbedded enablement role co-building AI workflows with teams and measuring adoption impact across a broad entertainment business.

Editor’s noteClassic AI enablement role at a leading AI platform company (Writer), focusing on enterprise transformation and adoption playbooks.

Editor’s noteExpert prompt role owning AI character behavior, personality systems, and evaluation frameworks for social generative AI experiences.

Editor’s noteHouzz is integrating AI agents into its core marketplace to automate lead fulfillment.

Editor’s noteCresta is a top-tier AI company. This FDPM role is highly hands-on with agent deployment.

Editor’s noteThis is the quintessential Vibepiratebay role: purely focused on workflow mapping, prompt engineering, and enablement content.

Editor’s noteFocuses on AI enablement and evangelism. While listed as a Program Manager, the prompt addendum prioritizes AI fluency and adoption roles like this.

Editor’s noteThis is a coaching role for AI-fluent builders who can help others apply AI workflows and agents. Very aligned with the 'vibe-coding' and no-code AI builder archetype.

Editor’s noteSelected for focus on Designer and AI fluency.