other
Posted 1 weeks agoAI Enablement Lead
at Mesh
San Francisco, United StatesHybrid
Responsibilities
- Identify high-impact opportunities where AI can eliminate manual work, accelerate execution, and unlock outsized business value
- Design, build, and launch AI-powered workflows, automations, copilots, and internal tools
- Own initiatives end to end, from opportunity discovery and prioritization to implementation, adoption, and measurement
- Drive company-wide AI adoption through enablement, training, and hands-on partnership with teams
- Establish repeatable frameworks, playbooks, and best practices that empower teams to leverage AI effectively
- Build the foundation of Mesh's AI operating system, including the tools, standards, and infrastructure that will shape how the company operates for years to come Who You Are 3+ years of
Requirements
- We combine a powerful orchestration engine with a seamless consumer app to unlock liquidity for the world.
- At Mesh, we're building an AI-first company where intelligence is embedded into how we operate, build, and scale.
- We're looking for an AI Enablement Lead to help drive that transformation by identifying the company's biggest operational bottlenecks, building AI-powered solutions that eliminate friction, and creating systems that unlock leverage across every team.
- This is a highly cross-functional role at the intersection of Product, Engineering, GTM, and Operations.
- You'll partner directly with company leaders to solve high-impact business challenges, deploy AI workflows and automations that teams rely on every day, and help redefine how work gets done at Mesh.
- Beyond building solutions, you'll establish the playbooks, standards, and internal AI infrastructure that enable the entire organization to move faster, operate smarter, and scale more efficiently. What You'll Do
- experience in operations, solutions engineering, technical program management, consulting, or similarly cross-functional roles
- Strong business and technical judgment, with the ability to translate operational challenges into practical AI-powered solutions Hands-on
- experience with AI tools and technologies, including LLMs, prompt engineering, agents, APIs, and workflow automation •
- Experience building automations, integrations, internal tooling, and workflow orchestration using APIs, webhooks, and modern AI platforms •