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Product Manager, Data Platform

This is a Product Manager role focused on Data Platform, offered in a remote-first environment. The PM will own feature areas within the Data Platform, including the Enterprise Data Model, data access services, and analytics tooling enablement. This is a deeply technical role requiring expertise in data pipelines, semantic modeling, and supporting data governance processes.

Seniority

Mid

Product Area

data

Work Style

Remote

Location

United States

Type

Full_time

Role type

Skills

Required

  • data platforms
  • data infrastructure
  • analytics tooling
  • backend platform products
  • data pipelines
  • data warehouses
  • semantic modeling
  • Enterprise Data Model
  • data governance
  • data catalogs
  • BI and analytics tools

Nice to have

  • modern data stack tooling
  • data readiness
  • ML/AI data readiness
  • sound prompt design

Benefits

HealthDentalVision401kRetirement MatchPTOParental Leave
Full job description
Location: United States Department: Engineering 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, 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, classified, and consumed, flagging unauthorized data sharing and metric drift to leadership. Collaborate cross-functionally - work alongside product teams, I A, and operational stakeholders to support adoption of platform-owned data rather than bespoke pipelines. Use data to inform decisions - track platform KPIs (data freshness, data latency, platform uptime, active users, adoption rate) and use them to validate hypotheses and inform prioritization. Help manage intake - triage incoming data requests through defined channels, surface prioritization trade-offs to leadership, and help protect team capacity for high-impact platform work. Leverage AI in your workflow - regularly integrate AI tools into daily workflows to analyze feedback, synthesize insights, draft specs, and validate outputs with sound prompt design. What you will bring to LTK 2 - 4 years of product management experience, with exposure to data platforms, data infrastructure, analytics tooling, or backend platform products. Ability to write clear specs and collaborate cross-functionally to ensure delivery - you can determine the right level of detail and work with engineering to close gaps. Comfort working with data engineering concepts - data pipelines, data warehouses, and semantic modeling. You can write tickets and specs with technical detail and understand system boundaries and trade-offs. Developing product judgment and trade-off awareness - you use data and customer feedback to inform decisions and are building the instincts to prioritize effectively. Analytical fluency with BI and analytics tools to validate hypotheses and understand how data consumers interact with the platform. Cross-functional communication skills - you can collaborate across engineering, analytics, and business teams and are growing your ability to facilitate alignment with multiple stakeholders. Comfort navigating ambiguity and competing priorities in a fast-moving environment; you default to action and bring structure where it doesn't yet exist. Regularly integrates AI tools into daily workflows to analyze feedback, synthesize insights, and validate outputs with sound prompt design. 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. 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 #LI-AJ1 What we offer The opportunity to be part of the leading global company in creator commerce A remote-first, productivity-first environment Competitive compensation and benefits package to meet the needs of you and your family 401(k) with LTK company matching Medical Insurance, Vision Insurance, Dental Insurance Paid Maternity Leave and Paid Paternity Leave Summer Fridays and Flexible PTO About LTK Founded in 2011, LTK is the global technology platform purpose-built to empower lifestyle creators to monetize their content. The full-service platform connects brands, creators, and shoppers with a world-class shopping app and trusted tools and technology that make content instantly shoppable. Today, premium lifestyle creators in 160+ countries drive more than $5 billion+ in annual retail sales through their LTK Shop profiles. More than 40 million consumers turn to LTK Shops in the LTK shopping platform each month to find inspiration and instantly shop the styles recommended by their favorite creators. More than 8,000 retailers and 1M brands partner with LTK to gain access to its global creator network for content that converts against performance-driven, cross-channel KPIs. LTK is headquartered in Dallas, TX, and currently operates on five continents. Our mission To empower the world’s premium lifestyle Creators to achieve maximum economic success. Our values Here to win Commit to the journey Work well Commitment to diversity LTK believes diversity, equity, and inclusion are fundamental obligations that strengthen our team. We employ a diverse, multi-disciplinary team to build a meaningful company and culture. For US-Based Roles: We are not offering new sponsorships opportunities at this time for persons requiring employment visas, such as an H-1B; authorization to work in the U.S. is a precondition of employment. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of LTK are considered the property of LTK and are not subject to payment of agency fees . LTK is an Equal Opportunity Employer. #LI-Remote

LTK (formerly rewardStyle and LIKEtoKNOW.it) is a creator commerce platform connecting lifestyle creators, brands, and shoppers in a three-sided marketplace built around shoppable content. The LTK app gives 40+ million shoppers access to 450M products across 8,000+ brands curated by hundreds of thousands of creators worldwide. Founded in Dallas in 2011 by Amber and Baxter Box, the company has raised about $315M, most recently a $300M Series B from SoftBank Vision Fund 2 in 2021 at a $2B valuation. It has 500-800+ employees across offices in the US, UK, Brazil, France, Germany, Australia, China, and South Korea, and shoppers transact $3B+ in annual product volume on the platform.

Consumer & MarketplaceMedia & Creator Tools

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