Staff Product Manager - Email AI

Our impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact.
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Role Overview

HighLevel is accelerating its Email Marketing platform to become the AI-first communication engine for businesses worldwide. We are looking for a Staff Product Manager - Email AI to lead the vision and execution of our generative and autonomous marketing intelligence. In this role, you will transform how agencies and businesses create, optimize, and execute lifecycle marketing by building generative, autonomous, and predictive capabilities natively into our platform. Your mandate is to define the multi-year vision for Email AI—driving user adoption, campaign creation velocity, and engagement across the entire HighLevel ecosystem.

Key Responsibilities

1. Lead Generative Content & Layout AI Strategy
Define and execute the vision for prompt-to-email creation, AI copy generation, brand-aware messaging, and multi-language copy localization. Enable non-technical marketers to create production-ready email layouts and copy instantaneously.

2. Build Autonomous Sequence

Architect and deploy 'Sequence AI' capabilities that automatically design multi-step lifecycle journeys—such as lead nurture, cart recovery, onboarding, upsells, and re-engagement—from simple natural language prompts.

3. Drive Predictive & Send Optimization AI
Lead the development of predictive recommendations, send-time optimization engines, automated subject line scoring, and dynamic personalized content fields to continuously maximize engagement rates.

4. Establish AI Governance & Quality Safeguards
Maintain high standards for responsible AI by establishing guardrails around brand voice consistency, content quality evaluation, hallucination suppression, and global privacy compliance.

5. Drive Product Strategy & Cross-Functional Alignment
Establish a 12–18 month product roadmap for Email AI aligned with HighLevel’s broader company strategy. Partner closely with core AI, Engineering, Product Design, Customer Success, and Go-To-Market teams.

What Success Looks Like

First 90 Days

Strategic Roadmap: Formulate a comprehensive vision and 18-month strategic roadmap for Email AI and autonomous lifecycle generation.

Instrumentation & Quick Wins: Establish baseline performance metrics and identify quick-win enhancements in generative text/layout prompts based on initial user feedback.

Cross-Functional Alignment: Align core AI research, engineering, and product design teams on key priorities and architecture milestones.

First 12 Months

General Availability Launch: Launch Email AI and Sequence AI into General Availability (GA) with widespread adoption across HighLevel accounts.

Creation Velocity Uplift: Drastically reduce campaign creation time for non-technical users through natural language prompt-to-layout capabilities.

Autonomous Journeys: Deliver production-ready Sequence AI capabilities that automate complex multi-touch customer lifecycle journeys.

Requirements

Experience: 8+ years of Product Management experience in SaaS, with focused expertise building AI/ML products, LLM integrations, generative AI interfaces, or prompt engineering workflows.

Domain Expertise: Deep understanding of marketing automation workflows, email campaign lifecycle, and generative text/image/layout applications.

UX Excellence: Proven track record of designing intuitive, high-adoption AI-native user experiences that simplify complex technical capabilities.

Product Craft: Data-fluent mindset with experience defining instrumentation, writing clear outcome-focused PRDs, conducting user research, and tracking engagement metrics.

Leadership: Strong stakeholder management skills with a history of driving cross-functional alignment across Engineering, Design, AI, and GTM teams.

Nice-to-Have

Specialized ML Background: Background in predictive modeling, recommendation engines, or natural language processing (NLP).

Global Experience: Experience designing features for international audiences, including multi-language support and localized content generation.

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