Vice President of Engineering

VP of EngineeringAI-Driven Marketing Optimization Platform OverviewOur client is building the AI-enabled marketing platform of the future — a unified operating system that integrates creative, media, data, and performance into a singleAI platform . Through a combination of high-performing agencies and a proprietary AI platform (DMOS – Digital Marketing Operating System), the client is engineering a new model for brand and agency growth.The platform leverages a swarm architecture of specialized AI agents — creative agents, media agents, analytics agents, and optimization agents — working in concert under human supervision. We are not building incremental SaaS tools; we are building an AI-Amplified Operating System that compresses feedback loops, increases marketing ROI, and scales senior marketing talent at software speed.Backed by experienced operators, investors, and agency leaders, the company combines real revenue, real clients, and a real platform roadmap. This is a rare opportunity to build an enterprise-grade AI-native platform inside an already scaled services ecosystem.Core MandateBuild and ship a production-grade AI platform that:Reliably manages multi-agent workflowsHandles enterprise-scale marketing spendIterates rapidly on real customer feedbackBalances speed with system reliabilityWhat Success Looks Like — First 12 MonthsA working production system used by real customersReliable multi-agent workflows with no catastrophic failure modesHigh iteration velocity (weekly or bi-weekly shipping cadence)A strong early engineering team of 5–8 peopleClear product traction and customer engagementKey ResponsibilitiesArchitecture & SystemsOwn end-to-end technical architecture of the AI-Amplified Operating System.Design and manage agent optimization frameworksEstablish infrastructure for agent lifecycle management, version control, and benchmarking.Build secure, enterprise-grade data pipelines and integrations across media, CRM, analytics, and creative tools.Implement cost controls and LLM optimization strategies for scalable margin performance.Agent Development & QA DisciplineOperationalize hypothesis-first agent development and benchmark-driven validation.Build internal QA frameworks for behavioral validation, adversarial testing, and safety controls.Deploy progressive autonomy systems (human-in-the-loop ? supervised automation ? controlled autonomy).Ensure observability across agent decisions, outputs, and impact on campaign performance.Product & IterationWork directly with customers to refine the productShip quickly and iterate based on real feedbackBalance MVP speed with the reliability standards enterprise customers expectTeam Leadership & ScaleRecruit, lead, and develop a high-caliber engineering organization (AI, full-stack, infra, QA).Establish sprint velocity, 2-week iteration cycles, and measurable KPIs.Partner with Product to prioritize high-leverage workflows across agencies.Prepare the platform for external SaaS commercialization (Phase 2 & 3 roadmap).Strategic ImpactYou will be responsible for transforming the company from an AI-enabled agency network into a defensible, AI-native marketing platform company. This role directly impacts enterprise valuation, scalability, and long-term category leadership.Required ExperienceAd tech or marketing technology — 0?1 experience strongly preferredDeploying AI/LLM systems to productionMulti-agent or orchestration workflowsStrong backend and distributed systems fundamentalsLeading engineering teams of 5–20 peopleHands-on coding — this is not a purely managerial rolePreferred BackgroundExperience at companies such as Tapjoy, The Trade Desk, Pixis, Smartly.io, or NorthbeamAI-native SaaS or adtech companiesHigh-growth startup environmentsKey TraitsBuilder mindset — not a pure managerHigh technical rigorMentally flexible; not dogmatic about tools or frameworksCustomer-focusedMoves fast, but cares about qualityLocationPreferred: New York or Los Angeles Open to: San Francisco or remote for exceptional candidates