Senior Product Manager - Next-Gen AdTech & AI Automation

CloudGeometry is a client delivery company supporting a top US performance-media and AdTech organization undergoing an AI-driven transformation. The Senior Product Manager will define and execute the vision for an AI-native media execution platform, build agentic workflows and automation capabilities, establish evaluation and guardrails, and align executives around a sequenced product roadmap.

Responsibilities:

• The AI automation vision for a unified media execution platform - where agents take over repetitive planning, trafficking, QA, and reporting work, and humans move up the stack to strategy and judgment
• Hands-on AI product development: prototype agentic workflows, define evaluation and guardrails, and take capabilities like document intelligence, recommendation engines, and campaign QA agents from pilot to production yourself
• The next-gen platform narrative, shaping how planning, ordering, activation, and attribution converge into one AI-first experience - and how that platform differentiates the client in the market
• Executive alignment, translating AI possibility into a credible, sequenced roadmap for client leadership - including honest calls on what's ready, what's hype, and what to build now versus watch
• The craft bar, modeling AI-native ways of working — building with the same class of tools you're deploying - and lifting the client's product and engineering culture along the way

Requirements:

• • 6+ years of product management experience, including 3+ years in AdTech or MarTech (DSP, SSP, OMS, ad server, campaign management, or measurement/attribution products)
• • Deep fluency in the programmatic ecosystem — how orders, trafficking, pacing, optimization, and attribution actually work — and a strong point of view on where the industry goes next
• • Builder-level AI fluency: you personally build with LLMs, agent frameworks, and modern AI tooling — prompting, evals, tool use, human-in-the-loop patterns — not just spec them for others
• • A record of taking ambiguous, zero-to-one AI or automation initiatives to production in a B2B environment
• • Self-direction: you operate without a handed-down backlog, find leverage, and create momentum inside someone else's organization
• • Clear, direct communication with executives, sellers, ops teams, and engineers — you'll be the AI product voice inside a client organization
• • Located in the US or able to work fully within US time zones; all collaboration is with US-based colleagues
• • Experience with CTV/converged TV, outcome-based measurement, or incrementality testing
• • Experience shipping AI agents into operational workflows (campaign QA, trafficking, support automation) and living with them in production
• • Familiarity with the modern data stack (cloud data warehouses, Databricks/Spark, BI tools) and how data quality shapes what AI can credibly automate
• • Prior consulting, agency, or embedded-team experience — you know how to build trust fast inside someone else's organization