Live roles

Editor’s noteEnterprise AI adoption lead role — you own making AI stick across the whole org, from training rollout to governance guardrails. Light on dev, heavy on change management and fluency-building.

Editor’s noteSupply chain lead role where you design and deploy AI agents for supply chain workflows, then upskill teams to own and run them.

Editor’s noteSenior IC driving enterprise-wide AI fluency and workflow redesign across people teams — builds enablement programs, not production software.

Editor’s noteGTM engineer seat building and shipping AI-driven automation for revenue ops — deep on workflow tools, light on dev, and direct leverage over how the GTM team actually scales.

Editor’s noteSenior automation role — you build AI-powered GTM workflows at scale, but Marketo architecture, Salesforce routing, and SQL are the real core work, with AI tooling layered on top.

Editor’s noteAI enablement manager driving adoption across three marketing agencies — you identify use cases, run enablement, and embed AI into workflows, not build or ship software.

Editor’s noteRev ops lead at an SEO AI startup — building automations with n8n and Clay for the sales team, light on engineering work.

Editor’s noteFinance and accounting pro who builds and owns AI-driven automation workflows — this role owns the automation, not the underlying platform engineering.

Editor’s noteEnterprise AI adoption role — you turn Writer's platform into working AI workflows for customers, build champion networks, and run the workshops that make adoption stick. Light on dev, heavy on enablement and activation strategy.

Editor’s noteAI adoption consulting role — you guide enterprise clients from discovery through capability-building, heavy on enablement and change management, light on delivery engineering.

Editor’s noteCSM role where you build and tune the operational programs that help customers get value from HeyGen's AI video platform — light on engineering, heavy on automation, onboarding design, and cross-functional execution.

Editor’s noteSenior AI enablement and automation seat at Xsolla — you roll out AI tooling across internal teams, build workflow automations, and help teams adopt AI into game-commerce operations.

Editor’s noteBuilds and deploys AI-powered workflows across a marketing agency — uses Zapier, N8N, and LLMs to automate client-facing and internal tasks, and trains teams to adopt the new automations.

Editor’s noteAI enablement lead role — you shape how a whole workforce learns to use AI tools, with emphasis on adoption strategy and measurable behavior change across employees.

Editor’s noteOwns AI transformation for a GTM function — builds production automations for sales, marketing, or CS teams using LLMs and agent frameworks, with direct executive visibility.

Editor’s noteStaff PM seat owning a major consumer surface end-to-end — you also model what AI-native PM craft looks like, ship prototypes with AI tools, and raise the bar for the function.

Editor’s noteCustomer-facing AI deployment role driving adoption across enterprise insurance brokerages — you enable teams, translate needs into configuration, and measure ROI, with no coding required.

Editor’s noteBSA role that translates sales and marketing workflows into AI agents and orchestration inside Salesforce—light on dev, heavy on translating business intent into agent-ready specs.

Editor’s noteRevOps role heavy on Salesforce/HubSpot architecture and data infrastructure, with AI automation as a layer on top — you ship Clay workflows and vibe-coded automations, not the CRM itself.

Editor’s noteEmbedded AI solutions architect role — you find inefficiencies in business teams and ship working agents/pipelines to fix them, not build platforms.

Editor’s noteBuilds and ships recruiting automations using AI tools — you own the workflow, not the platform.

Editor’s noteAI strategy role guiding developers from manual coding to natural language orchestration — vibe coding and reasoning models are the core work.

Editor’s noteCross-functional AI transformation seat — you identify broken workflows and rebuild them with AI tools, no deep engineering required.

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 noteSenior enablement role driving AI adoption across Match Group brands — you build playbooks, prompt libraries, and training programs, not production code.

Editor’s noteAdoption role at an energy company scaling AI tools across teams — you drive capability, not code; light on dev, heavy on coaching and rollout.

Editor’s noteYou train teams and deploy AI tools across departments — heavy on teaching non-technical staff, light on engineering or building core AI.

Editor’s noteEnablement-heavy AI builder role — you build agents and workflows while driving enterprise-wide adoption through training, champions networks, and prompt libraries.

Editor’s noteEnablement lead role building AI capability across a biotech ecosystem — hands-on coaching, training programs, change champion networks, and tool adoption; light on dev work.

Editor’s noteInternal AI enablement role getting Microsoft Copilot and M365 AI tools actually used by operations staff — heavy on training, coaching, and workflow translation, light on dev.

Editor’s noteSenior AI enablement role building company-wide AI fluency through training programs, community of practice, and cross-functional capability building — you grow the org's AI muscle, not own production workflows.

Editor’s noteInternal AI transformation lead role — you own how the whole company adopts AI, from hands-on prototyping with RAG and lightweight agents to driving adoption across GTM, Services, and Finance.

Editor’s noteCoaching and change-management role in construction that gets employees actually using AI tools — no AI system building required, heavy on 1:1 enablement and training delivery.

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 noteEnablement seat building AI capability across business teams — you run pilots and build playbooks, not own a product or operate live agent workflows.

Editor’s noteAI adoption and process change role — you build the framework, playbooks, and training that help teams across the company use AI tools responsibly.

Editor’s noteSystems ownership role for Pigment (financial planning) with AI adoption work across Finance — moderate coding via SQL and integrations, but core work is running and scaling AI-enhanced finance workflows.

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 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 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 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 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 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 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.