Lead Product Manager, Onsite Performance

Attentive
United States$175k – $218kPosted 2 April 2026

Job Description

Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups , Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces , and the Human Rights Campaign Foundation's Corporate Equality Index ! About the Role This is one of the most exciting zero-to-one bets we're making at Attentive — and we want someone who's energized by that. Our Onsite Growth team owns the highest-impact layer of the retention marketing funnel: the onsite experiences — pop-ups, banners, sign-up units — that determine whether brands can message their customers at all. The team has built a world-class list growth engine, and more recently shipped AI Grow, our machine learning-driven product that dynamically optimizes when and how signup experiences are shown. That shift — from brands manually controlling their onsite experiences to trusting Attentive to optimize them — was a significant milestone. It proved we can drive better performance and earn deeper control over the onsite channel. Now, that trust unlocks a much bigger opportunity. As a Lead PM on this team, you won't just be iterating on what exists — you'll be defining the next frontier. As brands grow comfortable letting us optimize their onsite experiences, the natural extension is to go beyond list growth and start improving their onsite performance holistically. That means enabling marketers to dynamically surface the right offer to the right user, personalizing experiences based on where someone came from and what they're likely to do next, and connecting onsite engagement directly to post-click experiences. In short: moving from "we help you grow your subscriber list" to "we help you improve your entire onsite performance." This is a rare opportunity to do foundational zero-to-one work — with real risk and real upside — while leveraging Attentive's existing distribution, customer relationships, and AI infrastructure. You’ll start with fast, scrappy MVPs with a small set of partners, before scaling across our enterprise base. If you execute well, you'll be building a major new business line with significant engineering investment behind it, and a clear path to Principal-level ownership as this evolves into a core product line. The market timing is right. Competitors are moving into onsite experiences, but most are offering basic tooling — here's a box, put what you want in it. We have the opportunity to build something fundamentally different: a performance-driven product that uses AI to optimize the full onsite experience, not just decorate it. We're looking for someone able to ship quickly with limited structure while forming a strong point of view on where the product should go. Success in this role means demonstrating measurable lift in onsite conversion and revenue, and scaling adoption across enterprise customers. What You’ll Accomplish Own a new product area end-to-end, from initial concept through scaled adoption across Attentive’s platform Identify a high-impact wedge, ship MVPs quickly, and evolve in ... (truncated, view full listing at source)
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