LTK
creator commerce
ProductManager,DataPlatform
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Product Manager, Data Platform at LTK. Skills: Product Management, Data Platform, Requirements Gathering, Cross-functional Collaboration, Data Modeling, Analytics Tooling. Own feature areas within the Data Platform, contributing to delivery from spec through launch. Write clear requirements”
Industry & Context.
use data and customer feedback to develop your product judgment; analyze feedback; synthesize insights; validate outputs
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Engineering, Data Science, Business, or related field (or equivalent practical experience), Experience with modern data stack tooling, Familiarity with data governance, data catalogs, or metric definition frameworks, Exposure to ML/AI data readiness - preparing or curating data for machine learning pipelines
Nice to Have
A mindset focused on seizing opportunities and moving with urgency, Dedication to fierce prioritization and operational excellence, Adaptability to a dynamic, fast-moving environment, A growth mindset and openness to feedback
What You'll Do.
Own feature areas within the Data Platform
contributing to delivery from spec through launch
Write clear requirements
Collaborate cross-functionally to ensure delivery
Use data and customer feedback to develop product judgment
complete specs - own feature-level specs and one-pagers (problem
dependencies) for initiatives such as Enterprise Data Model domain buildouts
and analytics tooling enablement
Partner closely with Data Engineering to help define
and deliver canonical dimension
and summary tables across Creator
Support analytics migrations - assist in the transition from legacy tools to the modern stack
helping ensure business-critical reporting remains uninterrupted and metric definitions stay consistent
Support data governance processes - help maintain and enforce processes for how metrics are defined
flagging unauthorized data sharing and metric drift to leadership
How You'll Work.
Team & Collaboration
Collaborate cross-functionally; Partner closely with Data Engineering; work alongside product teams
Communication Scope
Write clear, complete specs; own feature-level specs and one-pagers
Process & Methodology
own feature-level specs and one-pagers
Full Job Description
LTK’s mission is to empower the world’s premium lifestyle Creators to achieve maximum economic success. We have a huge opportunity ahead of us and we’re looking for team members who want to create, innovate and disrupt an industry. We empower our team members to drive innovation, create value, and continue to spearhead the creation of this industry — a game changer when it comes to career growth. Position Title: Product Manager, Data Platform About the role The Data Platform team is transforming how LTK activates data across the company - building the single source of truth that powers analytics, discovery, monetization, and AI. We are modernizing our data stack, standing up an Enterprise Data Model, migrating analytics tooling, and delivering standardized data access services that serve both internal stakeholders and external product surfaces. As a Product Manager on this team, you will own feature areas within the Data Platform, contributing to delivery from spec through launch. You will write clear requirements, collaborate cross-functionally to ensure delivery, and use data and customer feedback to develop your product judgment in a deeply technical domain. This is a craft-focused role for someone who is eager to grow their product skills on foundational platform work, is comfortable learning technical concepts like data pipelines and semantic modeling, and wants to build the muscle of shipping in a complex, cross-functional environment. How you will make an impact Write clear, complete specs - own feature-level specs and one-pagers (problem, goals, requirements, non-goals, dependencies) for initiatives such as Enterprise Data Model domain buildouts, data access services, and analytics tooling enablement. Partner closely with Data Engineering to help define, validate, and deliver canonical dimension, fact, and summary tables across Creator, Brand, and Consumer domains. Support analytics migrations - assist in the transition from legacy tools to the modern stack,
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