# Principal Product Manager at ActiveCampaign

- Company: ActiveCampaign
- What the company does: Go beyond marketing automation with ActiveCampaign's autonomous marketing platform. Your team of AI agents handles email, SMS, WhatsApp and more for you, backed by billions of data points.
- Company website: https://www.activecampaign.com
- Type: Startups
- Level: Principal and up
- Location: United States
- Work setup: Remote
- Pay: $208K to $286K base salary per year (USD)
- Posted: 2026-06-24
- Apply by: 2026-10-08
- Apply: https://jobs.lever.co/activecampaign/232f468d-13ee-43f0-ab5b-88cc750cf64a
- Page: https://www.1752.vc/careers/jobs/activecampaign-principal-product-manager/

## About the role

Partner with Applied AI Teams to Build the Context Layer. Define and ship the structured intelligence layer that gives Active Intelligence deep understanding of each customer’s business — their goals, brand, audience behavior, campaign history, and what’s actually working. This is the signal architecture that turns 20+ years of marketing data into something every agent on the platform can reason over. You lead how context matures, what signals matter, and how it compounds across the product.

## What they're looking for

- Customer value over technical elegance. You instinctively ask “what does this unlock for the marketer?” first. You’ve seen infrastructure projects lose their way and you know how to keep shipping things that matter
- First-principles thinking in ambiguous domains. These problem spaces don’t have playbooks to copy. You define categories, not follow them
- Significant product management experience, with meaningful time building AI/ML-powered products in production at scale — not proofs of concept, production systems serving real users
- Direct experience shaping data platforms, context systems, or structured intelligence layers — you’ve made consequential decisions about what data to capture, how to structure it, and how to make it useful
- Track record of defining new product capabilities in fast-moving, ambiguous domains where you couldn’t copy someone else’s playbook
- Production experience with frontier AI models and agentic architectures — you’ve learned the hard way what works in production versus in a demo

Tags: Product