Director, Product Engineer - AI Tooling & Builder Experience

Veho•New York, NY

3d•$220,000 - $265,000

About The Position

We’re hiring a Senior Product Engineer to design and build the internal tooling and infrastructure that enables everyone at Veho—technical and non-technical alike—to create, deploy, and manage AI-powered apps and agents. Think of it as building the "builder experience": the walled garden, the guardrails, and the platform that lets an ops manager or a CX lead ship a working agent without writing code. This role reports directly to our Co-founder/President and sits at the center of Veho’s AI transformation.

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

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.