RoboForce

Technology

FoundingAINativeLead

$250–350k ~AI est. Milpitas, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“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.

Technology
Problems you'll solve

Root cause analysis

Eligibility Requirements

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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