Principal Product Manager

Job Description

ActiveCampaign is best known as the autonomous marketing platform behind Active Intelligence, a suite of AI agents already running inside more than 180,000 businesses worldwide. The company is now looking for a Principal Product Manager to take ownership of the layer that makes the entire platform smarter: the context intelligence system that gives every agent its depth, and the deep reasoning agent that turns that depth into marketing insight no competitor can match. This is a principal-level individual contributor role, not a people-management position, sitting alongside the Head of Applied AI and the Head of Active Intelligence Engineering as one of the most consequential product seats in the company.

The work splits into two connected problem spaces. The first is building the structured intelligence layer that helps Active Intelligence understand a customer's business in real depth: their goals, brand voice, audience behavior, campaign history, and what has actually worked for them in the past. That signal architecture becomes the foundation every other agent on the platform reasons over. The second is building a genuine reasoning agent on top of that context — one capable of extended thinking, multi-step research, and cross-source synthesis — so that instead of producing another dashboard summary it can explain why engagement shifted, what top-performing segments have in common, and where the next campaign should focus. The two pieces reinforce each other: richer context produces sharper reasoning, sharper reasoning drives more usage, and more usage generates even richer context.

Key Responsibilities:

• Defining what signals matter most inside the context layer and how that intelligence compounds across the platform over time
• Prototyping directly with frontier AI models, testing prompt architectures, and pairing closely with applied AI and ML engineers on system design decisions
• Building the evaluation frameworks, golden datasets, and quality rubrics that determine whether the reasoning agent is genuinely reliable rather than just impressive in a demo
• Owning the connection between the context layer and the reasoning agent so the two compound each other rather than existing as separate projects
• Setting the bar for what "marketing-grade intelligence" actually means, and building the measurement systems that hold the product to it
• Operating with significant autonomy across ambiguous, undefined problem spaces where no existing playbook applies

Requirements:

• Meaningful experience building and shipping AI or ML-powered products running in production at real scale, not just proof-of-concept work
• Direct, hands-on experience shaping data platforms, context systems, or structured intelligence layers
• A track record of defining new product capabilities inside fast-moving, ambiguous domains without a category playbook to follow
• Production experience with frontier AI models and agentic architectures, learned through real deployments rather than demos alone
• Strong technical credibility: comfortable challenging engineering on system design and pairing with ML engineers as a peer

Preferred:

• Marketing technology or customer engagement platform experience — a genuine advantage, since it brings real opinions about what marketers actually need

This is a fully remote position open to candidates across the United States, inside a product organization that treats principal-level ICs as primary drivers of product direction rather than a layer beneath management. For a builder who wants ownership of both the intelligence layer and the reasoning experience on top of it, this is a rare chance to shape a category rather than follow one — inside a company where the AI product is already live, already scaled, and still accelerating.