Technical Product Manager (Data)
Vendelux
full-remotemidpermanentproduct-managementbackend Full remote 129 days ago via WTTJ
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Product ManagementData ModelingETLSQLData ArchitectureAI/LLMsCRMGTM WorkflowsSystem ReliabilityIntegrations
About the role
Role Overview
Join Vendelux as a Technical Product Manager (Data), where you will own core platform systems and data flows. You’ll partner closely with data/AI, engineering, analytics, and GTM teams to ensure reliable integrations and measurable reductions in manual GTM work.
Key Missions
- Own the systems that keep the Vendelux platform running, including infrastructure and integrations.
- Define how data flows, including data attribution logic—ensuring reliability and integrity.
- Drive product execution and collaborate with engineering to reduce manual work across GTM teams.
- Improve system reliability and scalability for integrations and internal workflows.
Responsibilities
- Establish clear system ownership and operating mechanisms for platform/data workflows.
- Translate between business stakeholders and technical teams.
- Ship complex, end-to-end product capabilities.
- Produce clear specs and maintain tight documentation.
Requirements
- 3+ years in product management (or closely related).
- Strong understanding of data modeling, ETL pipelines, and data architecture.
- Experience with data-intensive products or backend/platform systems.
- Comfortable with SQL and debugging data/system issues at a high level.
- Strong prioritization and decision-making under ambiguity.
- Comfortable working with engineers on technical concepts, tradeoffs, and execution.
- Strong written communication and documentation skills.
Nice-to-Haves
- Familiarity with AI, including foundational LLMs and custom model workflows.
- Experience with CRM platforms such as Salesforce or HubSpot.
- Background in event marketing and/or GTM workflows.
- Experience with calendar/scheduling systems.
About Vendelux
Vendelux is a technology company building a core platform that powers data and integrations for product execution. The role highlights collaboration across Data/AI, Engineering, Analytics, and GTM teams to improve reliability, scalability, and reduce manual GTM work.
Scraped 5/20/2026