Vice President of Engineering

VP of EngineeringAI-Driven Marketing Orchestration PlatformOverviewOur 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 MandateBuild and ship a production-grade AI platform that:Reliably manages multi-agent workflowsHandles enterprise-scale marketing spendIterates rapidly based on real customer feedbackBalances speed with system reliabilityWhat Success Looks Like (First 12 Months)Working production system used by real customersReliable 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 engagementKey ResponsibilitiesArchitecture & SystemsDesign and build multi-agent orchestration systemsEnsure reliability in probabilistic workflows (failure handling, guardrails)Own backend architecture, data pipelines, and integrations (ad platforms, CRM, analytics)Implement observability, monitoring, and cost controlsHands-On DevelopmentWrite production code daily in early stagesReview and improve code from teamGuide AI-assisted development workflows (Cursor, Claude, etc.)Ensure code quality and securityProduct & IterationWork directly with customers to refine productShip quickly and iterate based on feedbackBalance MVP speed with enterprise reliabilityTeam LeadershipHire and lead a small elite engineering teamSet engineering standards and velocityMentor developers and enforce accountabilityRequired ExperienceExperience building ad tech or marketing technology systemsExperience deploying AI / LLM systems to productionExperience with multi-agent or orchestration workflowsStrong backend / distributed systems experienceExperience leading engineering teams (5–20 people)Must be hands-on and capable of codingPreferred BackgroundAI-native SaaS or adtech companiesExperience at high-growth startupsKey TraitsBuilder mindset (not a pure manager)High technical rigorMentally flexible (not dogmatic about tools)Customer-focusedMoves fast but cares about qualityLocationPreferred: New York or Los AngelesOpen: SF or remote for exceptional candidates