Product Lead (Predictive Platform)
6sense
full-remoteleadpermanentproduct-managementengineering-management Full remote - New York, US 46 days ago via WTTJ
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Product ManagementMachine LearningPredictive ModelingAI ProductsPeople LeadershipML LifecycleData Science CollaborationB2B GTMModel TrainingAccuracy Measurement
About the role
Product Lead (Predictive Platform)
Join 6sense as a Product Lead for the Predictive Platform.
Role Overview
This is a Player/Coach role where you:
- Own the strategy for core predictive models
- Lead and scale a pod of Product Managers focused on predictive modeling and intelligence initiatives
- Define global standards for model training, feedback loops, and accuracy measurement
Key Missions / Responsibilities
- Lead and scale a specialized pod of Product Managers for predictive modeling and intelligence
- Drive predictive model strategy and define the roadmap for how models are consumed by downstream applications
- Establish global standards and methodologies for:
- Ongoing model training
- Feedback loops
- Accuracy measurement to maintain benchmark-level predictions
Profile / Requirements
- Operating Rigor: Build operating rhythms and methodologies to turn data/model dependencies into clean execution
- B2B Mindset: Strong understanding of B2B data models and how predictive scoring drives GTM outcomes
- People Leadership: Proven experience leading product teams; coach PMs through complex roadmaps and build a high-accountability culture
- Experience: 8–10+ years in Product Management (AI/ML/Data Science products), including 3–5+ years people management
- Predictive Product Mastery: Deep expertise in predictive modeling, ML lifecycles, and working with data science from a product perspective
Nice-to-have
- Track record of shipping complex ML-driven products at scale (explicitly mentioned as a strong fit)
About 6sense
6sense is a B2B predictive intelligence platform company that helps organizations improve go-to-market outcomes using predictive modeling and intelligence. The role focuses on product ownership of core predictive models and the operational standards that keep prediction accuracy at industry-leading levels.
Scraped 6/18/2026