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ActiveCampaignPrincipal Product Manager
ActiveCampaign is hiring a Principal Product Manager to speed up the context and reasoning systems behind Active Intelligence, a live platform where autonomous agents already support…
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About This Role
ActiveCampaign is hiring a Principal Product Manager to speed up the context and reasoning systems behind Active Intelligence, a live platform where autonomous agents already support more than 180,000 businesses. This is a principal individual contributor role working with the Head of Applied AI, the engineering lead for Active Intelligence and other product leaders. The first mandate is the context intelligence layer, a structured model of each customer's objectives, brand…
Job Description
ActiveCampaign is hiring a Principal Product Manager to speed up the context and reasoning systems behind Active Intelligence, a live platform where autonomous agents already support more than 180,000 businesses. This is a principal individual contributor role working with the Head of Applied AI, the engineering lead for Active Intelligence and other product leaders.
The first mandate is the context intelligence layer, a structured model of each customer's objectives, brand voice, audience behavior, campaign history and results that every agent can draw on. The second is a deep reasoning agent that moves beyond summaries to explain why engagement changed, what high performers share and where the next campaign should go, drawing on extended reasoning and multistep research.
The product manager sets the evaluation approach, including test sets, quality scoring rubrics and graded outputs, prototypes directly with frontier models, and shapes architecture and data models in partnership with applied AI and machine learning engineers. Work continues from prototype to production and on to adoption by marketers, and the manager defines what counts as success.
Required experience includes substantial product management for production AI or ML products at scale, hands-on shaping of data platforms or structured context systems, and a history of defining capabilities in unmapped territory. Working with frontier models and agent architectures in production is needed. An engineering background and marketing technology experience are strong pluses. No salary figure appears in the posting. Benefits listed include high-deductible health coverage paid in full by the company, telehealth, LinkedIn Learning, open PTO, 401(k) matching, a four-week sabbatical after five years and either commuter perks or a remote stipend.
Responsibilities
- Design and launch the structured context layer that describes each customer's business
- Determine which signals count and how context accumulates over time
- Create a reasoning agent that explains outcomes and recommends next moves
- Build evaluation sets, rubrics and grading to measure answer quality
- Tie context, reasoning and engagement into a self-reinforcing cycle
- Prototype with frontier models and test prompt designs
- Work as a peer alongside AI and machine learning engineers on architecture and data design
Requirements
- Significant PM background building production AI or ML products
- Hands-on work on data infrastructure, context systems or layered intelligence designs
- History of creating new capabilities in unmapped, fast-changing fields
- Production work with frontier AI models and agent architectures
- Evaluation-driven quality mindset with experience creating assessment frameworks
Qualifications
- Previous software engineering or equivalent technical grounding
- Background in martech or customer engagement software
- Ability to influence cross-functional teams without formal authority
Core Skills
Benefits
- Health plan with a high-deductible option fully paid by the company
- Telehealth access and a free meditation app subscription
- LinkedIn Learning and professional development programs
- Open PTO
- 401(k) match that vests right away
- A paid sabbatical of four weeks, plus a bonus, after five years of service
- Commuter and meal perks for hub staff or a remote-work stipend
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What does the role focus on?
The role focuses on the context intelligence layer and a deep reasoning agent for the Active Intelligence platform.
What experience is required?
The posting asks for significant product management experience building AI or ML products in production, plus direct work on data platforms or structured intelligence layers.
Is a salary listed?
The posting does not state a salary figure. It says the displayed range is a good-faith estimate tied to the job location.
Where is the role based?
The posting does not specify a city or office.
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