Senior Product Manager, First-Party Data Platform

Attentive
United States$175k – $219kPosted 21 March 2026

Tech Stack

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 Attentive’s Data Platform is responsible for collecting high-quality first-party data for our brands. As the Senior Product Manager, First-Party Data Platform, you will own our web collection layer end-to-end, which directly impacts many of Attentive’s downstream product areas to personalize every message. This role’s focus will be making the Enhanced Attentive Tag (EAT) easier to implement for any persona — from Implementation teams to technical enterprise customers to Customer Success and marketers. You will drive adoption of EAT to ensure brands are maximizing first-party data capture, while leveraging AI and intelligent validation systems to proactively improve data quality at the point of collection. Over time, you will evolve the collection layer into a more intelligent, self-optimizing, and self-service experience that increases both coverage and confidence in the data brands rely on. This role requires strong technical fluency in web data collection, paired with the ability to translate complex instrumentation systems into customer outcomes and intuitive product experiences. What You’ll Accomplish Lead the evolution of the Enhanced Attentive Tag (EAT) into a fully self-service product experience — empowering customers and internal teams to configure, monitor, and troubleshoot their tagging setup with ease. Leverage AI to proactively improve first-party data quality at the point of collection, enabling smarter validation, anomaly detection, and data completeness. Own the roadmap for Attentive’s web-based first-party data collection (client-side and server-side), defining how brands instrument and bring data into the platform. Your Expertise 4+ years of product management experience, with direct exposure to web analytics, event tracking, first-party data collection, or instrumentation platforms. Strong understanding of how data is collected from the internet — including client-side tags, server-side events, browser behavior, network requests, and event payload structure. Ability to work closely with engineers on technical systems while translating instrumentation complexity into clear customer-facing workflows and business outcomes. Experience improving implementation experiences, debugging workflows, or data quality at the point of collection in a SaaS or B2B environment. A track record of driving execution in cross-functional environments where Engineering, Support, and GTM teams depend on your product decisions. You'll get competitive perks and benefits , from health wellness to equity, to help you bring your best self to work. For US based applicants: The US base salary range for this full-time position is $175,000 - $219,000 annually + equity + benefits Our salary ranges are determined by role, level and location # ... (truncated, view full listing at source)
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