Principal Product Manager, GenAI Advertising Platform (SMB Focus) (Mailchimp)

Overview

The Vision: AI-First, Outcomes-as-a-Service

At Intuit Mailchimp, we are redefining digital advertising for small and mid-market businesses (SMBs). The real challenge isn’t running ads—it’s achieving predictable growth without complexity.

Our mission is to make world-class advertising as effortless as possible for every SMB. We’re transforming ad creation and optimization into a simple, prompt-driven experience: the business states its goal—“Get 10 qualified leads this week” or “Increase online sales by 20%”—and our Generative AI platform autonomously designs, executes, and optimizes the campaign across channels.

This role is for a visionary Principal who will architect, launch, and scale the platform and AI systems that make this “done-for-you” promise real — turning advanced advertising into something any business owner can do in minutes.

The Opportunity: Building the Next-Generation Growth Engine

As the Principal PM for the GenAI Advertising Platform, you will own the end-to-end strategy, architecture, and delivery of a unified, outcome-driven advertising system that becomes a central growth pillar for Intuit Mailchimp.

You’ll build and launch AI-powered advertising experiences that enable SMBs to effortlessly create, manage, and optimize single-channel and cross-channel campaigns across Meta, Google, LinkedIn, Amazon, eBay, Yelp, and beyond.

You’ll partner closely with the Marketing Data Platform to ensure our AI, ML, and System Learning Models (SLMs) are trained and scaled to deliver smarter, faster, and more effective campaign performance.

Your north star: make Mailchimp advertising the easiest, most intelligent, and most effective way for SMBs to grow—hands-off, done-for-you, and outcome-driven.

Responsibilities

Your Mandate: Architecting the AI-Driven, Done-for-You Advertising Platform

1. Architecting the Autonomous Campaign (GenAI-First)

• Intent-to-Outcome Flow: Design a natural-language, prompt-driven experience that translates simple business goals into complete, optimized campaigns — no manual setup required.

• The Outcome Engine: Build the proprietary GenAI decision system that predicts, executes, and continuously optimizes campaign strategy and spend across channels in real time.

• Generative Creative Flywheel: Create an autonomous system that generates and refines ad copy, visuals, and targeting using live performance data and AI feedback loops.

2. Platform Foundations & Scalable Orchestration

• Unified Abstraction Layer: Architect a single cross-channel framework that abstracts away ad network complexity, enabling fully automated campaign orchestration and reporting from one place.

• AI/ML Infrastructure Partnership: Collaborate with the Marketing Data Platform to design scalable ingestion, feature engineering, and model pipelines that power predictive optimization and self-learning.
• Cross-Channel Execution: Launch end-to-end advertising experiences that support both single-channel execution and AI-orchestrated cross-channel optimization — all behind a “done-for-you” interface.

• Scalability for SMB Growth: Ensure the platform’s architecture scales seamlessly from new entrepreneurs to mid-market businesses running thousands of concurrent campaigns.

3. Principal Leadership & Responsible Innovation

• 
  AI Pod Leadership: Lead a cross-functional “AI Pod” spanning Engineering, Data Science, and Design — driving technical clarity, velocity, and innovation.

• Organizational Influence: Operate as a Group PM, uniting advertising, CRM, commerce, and data initiatives under one AI-first growth ecosystem vision.
• Responsible AI: Champion ethical, transparent, and policy-compliant AI practices that build long-term customer trust.

• Outcome Accountability: Own P&L inputs and relentlessly drive measurable business impact — lowering CPA, improving ROAS, and increasing LTV through automation.

Qualifications

• 
  12+ years of product management experience, with 5+ years in AdTech, Marketing Automation, or AI/ML-driven platforms.

• Proven success building and shipping GenAI or autonomous optimization systems leveraging LLMs, diffusion models, or reinforcement learning.
• Deep domain expertise in digital advertising ecosystems, ad APIs, targeting, and attribution.
• Strong technical fluency in data architecture, model lifecycle management, and scalable ML/SLM systems.
• Experience collaborating with data platform and infrastructure teams to operationalize AI for scale.
• Strategic leadership scope: ability to set multi-year product strategy, align executive stakeholders, and mentor senior PMs. Ability to collaborate internal and external to deliver results form 0-1 and to scaled solutions.

• A first-principles mindset and proven ability to simplify complex, technical systems into delightful, intuitive customer experiences.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area, California: $238,000 - 319,000

New York City, New York: $232,500 - 314,500