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Director, Product Engineer - AI Tooling & Builder Experience

220k – 265kNew York, NYHybrid4+ YOE
Summary

Leads design and development of internal AI tooling platform enabling non-engineers to build, deploy, and manage AI agents and apps with secure infrastructure, integrations, and governance. Requires 4+ years in production systems, deep LLM/agent experience, and strong product instincts.

About the role

Responsibilities

  • Builder Experience Platform – Design and ship the platform that lets non-engineers build and deploy governed AI agents and internal apps quickly and safely.
  • Agent Infrastructure – Create the secure infrastructure layer that supports agentic workflows: context management, memory, tool access, quality controls, and test suites.
  • Cross-System Integrations – Build connectors and integrations (NetSuite, Salesforce, internal systems) so that agents and apps can operate across the business.
  • Quality & Governance – Implement monitoring, fallback logic, documentation, and guardrails so AI systems are reliable, trustworthy, and auditable.
  • Adoption & Impact – Partner with leaders across Transportation, CX, Ops, and Marketing to identify high-leverage automation opportunities, then ship systems teams actually adopt.

Requirements

  • 4+ years building and shipping production systems, automation, or internal developer/builder tools.
  • Deep experience with LLM-powered workflows, prompt engineering, and agent frameworks (Claude, OpenAI, open-source ecosystems).
  • Ability to build with and for AI-assisted development tools (Claude Code, Cursor, Copilot, Veho Build, etc.).
  • Strong product instincts—you connect technical work to measurable business outcomes.
  • Comfort operating in high-ambiguity environments without detailed specs; bias toward shipping and iterating.
  • Experience designing platforms or tools used by non-technical end users.

Nice-to-Haves

  • Background in logistics, transportation, or marketplace platforms.
  • Experience building secure agent infrastructure (sandboxing, access controls, context/memory management).
  • Familiarity with open agent ecosystems (e.g., OpenClaw or similar frameworks).
  • Track record at early-stage or high-growth startups navigating rapid organizational change.

Compensation

  • $220,000 - $265,000 base salary, plus competitive equity package, comprehensive medical/dental/vision, 401k, and generous PTO.
Skills
LLMsPrompt EngineeringAgent FrameworksClaudeOpenAINetSuiteSalesforceKubernetesCursorCopilot
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