RoboForce
Technology
FoundingAINativeLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Founding AI Native Lead at RoboForce. Skills: AI Native, Workflow automation, Agent development. Build RoboForce’s internal AI-native operating system. Prototype AI solutions quickly”
What You'll Achieve.
Make RoboForce faster; Make RoboForce sharper; Make RoboForce more scalable; Make the entire company AI-native
Industry & Context.
Root cause analysis
In-Office Collaboration
What They're Looking For.
Must Have
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, 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 Have
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
What You'll Do.
Build RoboForce’s internal AI-native operating system
Prototype AI solutions quickly
Drive AI agent adoption
Embed AI into daily workflows
Lead AI Champion network
Capture AI-native practices
Spread AI-native practices
Operationalize AI-native practices
Define company-wide standards for tools
Define standards for cost
Define standards for security
Define standards for model routing
Define standards for context management
Define standards for human approval thresholds
Partner with engineering on connectors
Partner with IT on connectors
Partner with engineering on permissions
Partner with IT on permissions
Partner with engineering on local model hosting
Partner with IT on local model hosting
Partner with engineering on monitoring
Partner with IT on monitoring
Partner with engineering on secure deployment
Partner with IT on secure deployment
Turn ambiguous AI-native priorities into clear systems
Turn ambiguous AI-native priorities into owners
Turn ambiguous AI-native priorities into workflows
Turn ambiguous AI-native priorities into execution rhythms
How You'll Work.
Team & Collaboration
World-class AI experts; Robotics experts; Engineering; IT; Software teams; Hardware teams; Marketing teams; Operations teams; Recruiting teams; BD teams; AI teams
Full Job Description
Why RoboForce 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. Responsibilities RoboForce AI-Native Operating System — Build RoboForce’s internal AI-native operating system, including agents, automations, workflows, templates, and internal tools, from prototype to production. High-Leverage Opportunities — Identify where AI can create 3× leverage across the company. Prototype quickly, measure impact, scale what works, and kill what doesn’ t. Workflow Adoption — Drive AI agent adoption across AI, software, hardware, marketing, operations, recruiting, BD, and more by embedding AI into daily workflows. AI-native Champion Program — Lead the cross-functional AI Champion network to capture, spread, and operationalize the best AI-native practices across teams. AI Agent Usage Standards — Define company-wide standards for tools, cost, security, model routing, context management, and human approval thresholds. AI-Native Infrastructure — Partner with engineering and IT on connectors, permissions, local model hosting, monitoring, and secure deployment. Technical Chief of Staff Execution — Turn ambiguous AI-native priorities into clear systems, owners, workflows, and execution rhythms. In-Office Collaboration — 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,
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