Attentive

4 months ago

Lead Product Manager, First-Party Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Own the roadmap for an autonomous, self-improving first-party data collection system that detects web data quality gaps, generates and validates fixes through experimentation, and deploys improvements at scale. Lead the web collection layer (client-side and server-side) and expand identity capabilities so behavioral signals reliably resolve to known users. Define success metrics across coverage and match rates, and collaborate with engineering, data science, and GTM to convert semi-manual iteration into continuous automation.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Build and own the roadmap for an AI-driven data quality system that detects collection gaps, generates configuration fixes, validates via experimentation, and promotes successful production changes without manual effort.
•Own the roadmap for web-based first-party data collection, defining how brands instrument and bring data into the platform (client-side and server-side).
•Define and instrument success metrics for first-party data quality, including coverage rates, match rates, and downstream performance impact, to drive prioritization and executive alignment.
•Partner with engineering, data science, and GTM to move from semi-manual experimentation to fully automated, continuously improving data collection at scale.
•Translate complex instrumentation systems into intuitive, self-service experiences to reduce reliance on manual support and engineering intervention.

Pay and Benefits

Salary: USD 175,000 - 218,450 annually

Perks:Health InsuranceEquity

Key Requirements

•5+ years of product management experience with exposure to web analytics, web event tracking, first-party data collection, identity resolution, or instrumentation platforms.
•Strong technical fluency in how data is collected from the internet, including client-side tags, server-side events, browser behavior, network requests, and event payload structure.
•Ability to partner 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.
•Proven track record driving execution in cross-functional environments with Engineering, Support, and GTM teams.

Skills:Cross-functional collaborationProblem-solvingStrategic thinkingExecution

Languages:English

Tech Stack:AIWeb analyticsWeb event trackingFirst-party data collectionIdentity resolutionData instrumentationClient-side tagsServer-side eventsNetwork requestsEvent payload structure

Company Brief

Attentive

Provides a mobile messaging and personalization platform that helps brands engage customers via SMS, email, and onsite messaging to drive sales, retention, and personalized marketing at scale.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2016

Website LinkedIn

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Attentive

4 months ago

Lead Product Manager, First-Party Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Build and own the roadmap for an AI-driven data quality system that detects collection gaps, generates configuration fixes, validates via experimentation, and promotes successful production changes without manual effort.
•Own the roadmap for web-based first-party data collection, defining how brands instrument and bring data into the platform (client-side and server-side).
•Define and instrument success metrics for first-party data quality, including coverage rates, match rates, and downstream performance impact, to drive prioritization and executive alignment.
•Partner with engineering, data science, and GTM to move from semi-manual experimentation to fully automated, continuously improving data collection at scale.
•Translate complex instrumentation systems into intuitive, self-service experiences to reduce reliance on manual support and engineering intervention.

Pay and Benefits

Salary: USD 175,000 - 218,450 annually

Perks:Health InsuranceEquity

Key Requirements

•5+ years of product management experience with exposure to web analytics, web event tracking, first-party data collection, identity resolution, or instrumentation platforms.
•Strong technical fluency in how data is collected from the internet, including client-side tags, server-side events, browser behavior, network requests, and event payload structure.
•Ability to partner 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.
•Proven track record driving execution in cross-functional environments with Engineering, Support, and GTM teams.

Skills:Cross-functional collaborationProblem-solvingStrategic thinkingExecution

Languages:English

Tech Stack:AIWeb analyticsWeb event trackingFirst-party data collectionIdentity resolutionData instrumentationClient-side tagsServer-side eventsNetwork requestsEvent payload structure

Company Brief

Attentive

Provides a mobile messaging and personalization platform that helps brands engage customers via SMS, email, and onsite messaging to drive sales, retention, and personalized marketing at scale.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2016

Website LinkedIn