Live roles

Editor’s noteOperations-focused AI role owning end-to-end agentic workflows in production — you monitor, tune, and iterate the workflows, not the platform underneath.

Editor’s noteAI-native PM role — you own 0-to-1 product building end-to-end using vibe-coding tools, then hand off to engineering for scaling.

Editor’s noteGTM automation role — you build and run enrichment pipelines and outbound workflows across Clay, Zapier, and AI tools, with measurable impact on sales team productivity.

Editor’s noteInternal AI coach and automation lead role — you build agents and workflows across the whole company, but the win condition is teams becoming more AI-fluent, not shipped product features.

Editor’s noteEnablement role connecting AI capabilities to teams — you build and deploy MCP tool bundles, then measure success by whether teams actually use what you ship.

Editor’s notePart-time contractor seat contributing senior ops expertise to AI training data — you design real-world tasks and evaluate how AI handles operations scenarios.

Editor’s noteOwn AI workflow delivery and quality for pharma customers — you ship the workflow and iterate prompts with the AI team, not build the platform.

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 noteIT support role focused on troubleshooting AI tools like Copilot, Glean, and ChatGPT across a financial consulting firm — you're the escalation point, not the builder.

Editor’s noteAI adoption role embedded in construction field ops — you coach jobsite teams on AI tools, translate capabilities into construction language, and feed field intelligence back into what gets built next.

Editor’s noteOps role running AI workflows in a post-sales org — you build automations in Workato and configure them in Salesforce/Gainsight/Zendesk, not write production code.

Editor’s noteOwn the systems and metrics that determine whether AI models actually work in the real world—golden sets, eval pipelines, accuracy SLAs, and automated QA.

Editor’s noteOwn the Self-Service Ecosystem end-to-end — prototype AI workflows, tune knowledge bases for LLM retrieval, and measure deflection. You're the bridge between support ops and AI tooling, not a platform engineer.

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 noteOps seat building and owning AI workflows that automate executive operations — you ship production agents weekly, not platforms or products.

Editor’s noteEnablement role scaling AI adoption across an edtech company — you build the playbooks, prompts, and training, not the platform. Light on dev, heavy on making teams actually use AI day-to-day.

Editor’s notePM seat owning agent behavior end-to-end — you define how AI agents reason, interpret intent, and execute workflows, then measure whether they actually work.

Editor’s noteEnablement seat embedding AI capability across an investment firm's business units — you build teams' AI skills and reusable patterns, not the platform itself.

Editor’s noteRuns and quality-checks AI-driven medical workflows for US clinics — you own the outputs, tweak prompts, and escalate to engineers when needed, not when you can fix it yourself.

Editor’s noteAI enablement role in healthcare AI — you grow how other teams use AI through tooling, training, and champions programs, not by owning production engineering.

Editor’s noteRuns and scales AI workflows across sales, CS, and ops — you ship the agent, then own keeping it reliable in production.

Editor’s noteTrainer role at Dr. Ng's advisory firm — you translate deep AI concepts (RAG, evals, agents) into executive-ready workshops and curriculum, light on coding, heavy on teaching.

Editor’s noteEnablement role embedding with enterprise clients to change how teams work with agentic tools — you teach, train, and scale adoption, not build the tools themselves.

Editor’s noteEnablement-focused director role at a B2B e-commerce company — you grow people's AI capabilities, not build AI systems. Heavy on change management and literacy.

Editor’s noteStrategic AI enablement seat — you own the roadmap, governance, and champion networks that make the rest of Headspace AI-capable, not the AI products themselves.

Editor’s noteOwns AI adoption and training across the whole org — you build the roadmap, audit workflows, and upskill teams; the tech team does the actual building.

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 noteSenior AI product seat shaping Generative AI features across financial product suites — you ship AI capabilities, lead a team, and talk to senior leadership, not write production code.

Editor’s noteHands-on AI ops role running and scaling Ramp's customer-facing agentic workflows — you ship the automation and own how it performs week-to-week, not build the platform.

Editor’s noteEnablement-first role coaching Sales and Ops teams on AI tools — you configure agents and workflows, but your real job is making people actually adopt them.

Editor’s noteSupervise live AI agents in a call center context — step in when agents stumble, catch failure patterns, and feed what you learn back to the team. Light on dev, heavy on judgment and real-time oversight.

Editor’s noteEarly-stage AI voice agent startup looking for someone to build and run the operational systems that scale their platform to $100M ARR.

Editor’s noteCustomer-facing adoption role — you help enterprises actually use Writer's AI tools at scale through training, playbooks, and workflow mapping, not build the platform itself.

Editor’s noteEnablement seat driving AI adoption across a media agency network — heavy on training, rollout, and change management, with ownership of how teams actually use AI tools.

Editor’s noteEmbedded AI enablement role — you build agentic workflows with n8n/Zapier, coach teams on adoption, and own making sure tools actually get used.

Editor’s noteEnablement seat translating attorney needs into AI-assisted workflows — you train, support, and maintain the use-case library, not the infrastructure.

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

Editor’s noteBuilder-first PM role prototyping and shipping AI adoption products — vibe coding with Claude Code/Cursor is non-negotiable, but you're shipping features, not production engineering.

Editor’s notePrototyper role where you prompt AI tools to build functional front-ends — your craft is product vision and iteration speed, not writing code yourself.

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 noteAnalyst advisory role on agentic development and AI-native tooling — you translate market trends into client guidance, not build or operate AI systems yourself.

Editor’s noteStrategic AI implementation role at a finance consulting firm — you build internal AI tools and prompt libraries, then turn that work into playbooks and SOPs so the whole firm can actually use AI at scale.

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 noteAdoption role embedding AI into humanitarian operations — you diagnose workflows, build reusable assets, and coach teams until they don't need you.

Editor’s noteEnablement role running an internal AI champions program — you teach people to use AI tools, not build them.

Editor’s noteInternship embedding AI adoption across business teams — you train, build playbooks, and translate tools into daily habits for non-technical colleagues. Light on dev.

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.