Founding AI Native Lead

RoboForce•Milpitas, CA

5d•Onsite

About The Position

RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. We are not just building AI robots. We are building an AI-native company. We are hiring a Founding AI Native Lead, reporting directly to the co-founder and working closely with world-class AI and robotics experts across the company. This is a founding builder-operator role focused on turning AI from scattered experiments into company-wide leverage. You will build workflows, agents, automations, playbooks, and internal systems that make RoboForce faster, sharper, and more scalable. You are helping make the entire company AI-native.

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.

Nice To Haves

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

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.