Founding AI Native Lead

Responsibilities

• Build RoboForce's internal AI-native operating system, including agents, automations, workflows, templates, and internal tools, from prototype to production.
• Identify where AI can create 3× leverage across the company. Prototype quickly, measure impact, scale what works, and kill what doesn't.
• Drive AI agent adoption across AI, software, hardware, marketing, operations, recruiting, BD, and more by embedding AI into daily workflows.
• Lead the cross-functional AI Champion network to capture, spread, and operationalize the best AI-native practices across teams.
• Define company-wide standards for tools, cost, security, model routing, context management, and human approval thresholds.
• Partner with engineering and IT on connectors, permissions, local model hosting, monitoring, and secure deployment.
• Turn ambiguous AI-native priorities into clear systems, owners, workflows, and execution rhythms.
• Work in-office 5 days a week to enable high-bandwidth collaboration, rapid iteration, and direct access to teams.

Requirements

• 5–8+ years across product, engineering, AI workflows, founder office, or Chief of Staff roles.
• Daily AI power user with hands-on experience using Claude Code, Codex, OpenClaw, Hermes Agent, or equivalent tools.
• Technical fluency with APIs, scripting, LLM tools, agent frameworks, integrations, and internal automation.
• Strong cross-functional execution across technical and non-technical teams.
• Builder mindset: vague problem → working prototype → real adoption.
• Sharp product judgment on when to use a prompt, bot, script, SOP, workflow, dashboard, or no tool.
• High judgment with sensitive company context, ambiguity, and fast-moving priorities.

Qualifications

• Experience with Claude Code, Codex, Cursor, agent frameworks, LLM routing, or local model hosting (bonus).
• Ex-founder or direct founder-office experience in a high-growth startup (bonus).
• Experience building a function, system, or operating cadence from zero (bonus).
• Background in AI, robotics, hardware, deep tech, or technically complex domains (bonus).