Staff Product Manager - Email AI

Overview

Lead the vision and execution of generative and autonomous marketing intelligence for HighLevel's Email Marketing platform, making it the AI-first communication engine for businesses worldwide.

What you'll do

• 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.
• 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.
• Lead development of predictive recommendations, send-time optimization engines, automated subject line scoring, and dynamic personalized content fields.
• Maintain standards for responsible AI by establishing guardrails around brand voice consistency, content quality evaluation, hallucination suppression, and global privacy compliance.
• 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 you'll need

• 8+ years of Product Management experience in SaaS.
• Focused expertise building AI/ML products, LLM integrations, generative AI interfaces, or prompt engineering workflows.
• Deep understanding of marketing automation workflows, email campaign lifecycle, and generative text/image/layout applications.
• Proven track record of designing intuitive, high-adoption AI-native user experiences that simplify complex technical capabilities.
• Data-fluent mindset with experience defining instrumentation, writing clear outcome-focused PRDs, conducting user research, and tracking engagement metrics.
• Strong stakeholder management skills with a history of driving cross-functional alignment across Engineering, Design, AI, and GTM teams.

Nice to have

• Background in predictive modeling, recommendation engines, or natural language processing (NLP).
• Experience designing features for international audiences, including multi-language support and localized content generation.

Details

• Location: India.