VP of Engineering

AI-Driven Marketing Orchestration Platform

Overview

Our client is building an AI-native marketing orchestration platform designed to optimize creative generation, media spend, and performance through multi-agent systems. The platform will initially power a portfolio of marketing agencies and evolve into a standalone SaaS business. This is a foundational engineering leadership role.

Core Mandate

Build and ship a production-grade AI platform that:

• Reliably manages multi-agent workflows
• Handles enterprise-scale marketing spend
• Iterates rapidly based on real customer feedback
• Balances speed with system reliability

What Success Looks Like (First 12 Months)

• Working production system used by real customers
• Reliable multi-agent workflows (no catastrophic failure modes)
• High iteration velocity (weekly / bi-weekly shipping cadence)
• Strong early engineering team (5–8 people)
• Clear product traction and engagement

Key Responsibilities

Architecture & Systems

• Design and build multi-agent orchestration systems
• Ensure reliability in probabilistic workflows (failure handling, guardrails)
• Own backend architecture, data pipelines, and integrations (ad platforms, CRM, analytics)
• Implement observability, monitoring, and cost controls

Hands-On Development

• Write production code daily in early stages
• Review and improve code from team
• Guide AI-assisted development workflows (Cursor, Claude, etc.)
• Ensure code quality and security

Product & Iteration

• Work directly with customers to refine product
• Ship quickly and iterate based on feedback
• Balance MVP speed with enterprise reliability

Team Leadership

• Hire and lead a small elite engineering team
• Set engineering standards and velocity
• Mentor developers and enforce accountability

Required Experience

• Experience building ad tech or marketing technology systems
• Experience deploying AI / LLM systems to production
• Experience with multi-agent or orchestration workflows
• Strong backend / distributed systems experience
• Experience leading engineering teams (5–20 people)
• Must be hands-on and capable of coding

Preferred Background

• AI-native SaaS or adtech companies
• Experience at high-growth startups

Key Traits

• Builder mindset (not a pure manager)
• High technical rigor
• Mentally flexible (not dogmatic about tools)
• Customer-focused
• Moves fast but cares about quality

Location

• Preferred: New York or Los Angeles
• Open: SF or remote for exceptional candidates