
A SaaS? tool that helps product, engineering, and operations teams design, deploy, and monitor AI-enabled workflows across internal tools.
Added May 30, 2026
Companies are asking product, engineering, GTM?, and operations hires to integrate LLM? APIs?, agents, automation pipelines, and workflow builders into everyday work. The repeated signal suggests teams want AI-powered productivity gains, but implementation is fragmented across prototypes, internal scripts, APIs?, and immature systems.
Build a workflow console for creating AI-enabled automations that connect to existing development, product operations, market research, and GTM? systems. The product would provide reusable agent templates, API? integrations, approval controls, workflow monitoring, and analytics so teams can move from ad hoc AI experiments to reliable internal automation.
Multiple companies now expect hands-on AI workflow experience across product, engineering, operations, and GTM? roles. This indicates AI automation is moving from experimentation into core operating practice.
Showing 1-20 of 20 signals
Partner with cross-functional teams to design AI-empowered workflows and product experiences that help users take action, interpret system output, and stay in control
Design and refine the AI workflows that power our production pipeline — multi-step, agentic, tool-using systems, not one-shot prompts. Treat your workflows like a product: version them, evaluate their output, find where they break, and improve them.
Design AI-first workflows across departments including Accounts, HR, Sales, Marketing, and Operations. Build end-to-end automations using APIs, AI models, MCPs, n8n, Make, and other orchestration platforms.
Design, develop, and deploy AI-driven internal tools and agentic workflows that accelerate the SDLC and reduce friction for Mobileye developers Expand the capabilities of existing platforms by embedding smart, context-aware LLM features
- Contribute to AI / Agentic workflow and Auto Research systems, including tool calling, evaluation pipelines, human-in-the-loop workflows, and feedback loops. - Collaborate with product, data, algorithm, and design teams to deliver reliable production systems with measurable user growth and business impact.
+17 more signals