Senior Product Builder (Data)

TL;DR

Senior Product Builder (Data): Owning end-to-end missions for data collection and enrichment systems within a SaaS platform with an accent on data quality, pipeline reliability, and AI-centric project development. Focus on defining data strategy, measuring adoption KPIs, and collaborating across cross-functional pods to deliver high-impact data products.

Location: Remote (Flexible work arrangements mentioned).

Company

hirify.global is a leading Brand Performance Cloud provider for the fashion, lifestyle, and beauty industries, helping global brands make smarter branding decisions.

What you will do

• Own end-to-end missions for the Data Collection and Enrichment domain, from scoping to adoption.
• Translate customer and internal needs into measurable product requirements.
• Master the data flow across acquisition, enrichment (including AI-based), and management via datalakes and APIs.
• Define and analyze KPIs to measure performance and adoption of built features.
• Collaborate with engineers, business stakeholders, and leadership to drive the data strategy.
• Contribute to shared tooling and processes to improve the data domain over time.

Requirements

• Around 5 years of experience in product management or data management, ideally in a SaaS environment.
• Fluent in SQL and comfortable with data modeling, pipelines, and APIs.
• Deep understanding of the data lifecycle from acquisition to delivery.
• Strong discovery instinct with a focus on solving problems rather than just building solutions.
• Ability to operate autonomously in a pod-based structure.
• Fluent English required for clear communication in an international environment.

Culture & Benefits

• Flexible work arrangements and support for home office setup.
• Learning and development allowance for professional growth.
• Dynamic, international team environment with a focus on autonomy.
• Benefits package tailored to the specific location of the employee.
• Equal Opportunity Employer committed to diversity and inclusion.

Hiring process

• Intro call with Talent Acquisition (30 min).
• Meet & Greet with the Hiring Manager.
• Data and Product case study presentation.
• Team fit interview with engineers and peers.