Staff Product Manager - Email AI

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Staff Product Manager – Email AI based in India . Join a global, remote-first technology environment focused on helping businesses grow through intelligent automation and AI-powered solutions. As a Staff Product Manager – Email AI, you will define and lead the strategy for transforming email marketing through generative AI, predictive intelligence, and autonomous campaign orchestration. You will shape how businesses create personalized content, build lifecycle journeys, and optimize engagement using intuitive, AI-native experiences. Working closely with AI research, engineering, product design, customer success, and go-to-market teams, you will turn ambitious ideas into scalable product capabilities. You will establish a strategic roadmap, drive adoption, and measure success through meaningful improvements in campaign creation speed and marketing performance. This role offers the opportunity to influence a high-impact product platform serving businesses worldwide while advancing the future of AI-driven marketing.

Accountabilities

• Define and execute the product vision and strategy for AI-powered email marketing, including generative content creation, autonomous lifecycle journeys, and predictive optimization.
• Lead the development of prompt-to-email capabilities that enable users to generate production-ready email copy and layouts from natural language instructions.
• Drive AI-powered copy generation, brand-aware messaging, and multilingual content localization to help businesses create relevant, consistent communications for diverse audiences.
• Design and launch autonomous sequence capabilities that generate and manage multistep customer journeys, including lead nurturing, cart recovery, onboarding, upselling, and re-engagement.
• Lead predictive and optimization features such as send-time recommendations, automated subject-line scoring, and dynamic personalization to improve campaign engagement.
• Establish responsible AI standards and quality safeguards, including brand voice consistency, content evaluation, hallucination mitigation, and global privacy compliance.
• Develop and maintain a 12–18-month product roadmap aligned with broader business objectives, balancing customer needs, technical feasibility, and commercial impact.
• Collaborate with AI research, engineering, product design, customer success, and go-to-market teams to align priorities, define requirements, and deliver product milestones.
• Define product instrumentation, establish baseline performance metrics, and use customer feedback and behavioral data to identify opportunities for improvement.
• Develop clear, outcome-oriented product requirements documents (PRDs), conduct user research, and track adoption, engagement, and campaign performance metrics.
• Establish strategic priorities and architecture milestones during the initial 90 days, identifying quick wins for generative text and layout experiences.
• Drive the general availability launch and adoption of Email AI and autonomous sequence capabilities, with a focus on reducing campaign creation time and simplifying complex marketing workflows.
• Continuously evaluate product performance and market developments to improve AI capabilities and deliver measurable customer value.

Requirements

• At least 8 years of product management experience in SaaS, with a strong focus on AI/ML products, large language model integrations, generative AI interfaces, or prompt engineering workflows.
• Deep understanding of marketing automation, email campaign lifecycles, and the workflows involved in creating, personalizing, and optimizing marketing communications.
• Experience building or managing generative AI applications involving text, images, layouts, or other content-generation capabilities.
• Demonstrated ability to design intuitive, user-friendly AI-native experiences that make complex technical capabilities accessible to non-technical users.
• Strong product management fundamentals, including roadmap development, requirements definition, user research, prioritization, and outcome-based product planning.
• Data-driven decision-making skills, with experience defining instrumentation, establishing success metrics, analyzing engagement data, and measuring product adoption.
• Proven ability to write clear, actionable product requirements documents and tr…