Product Lead, Predictive Platform

6sense

12d•$188,998 - $255,863•Remote

About The Position

6sense is seeking a strategic Product Lead with a deep background in predictive modeling and a passion for leading teams to own their Predictive Platform. This platform is the foundational engine powering their intelligence layer and defining how B2B brands identify their next customers. This is a Player/Coach role where the individual will be the primary driver of the core predictive foundation and cross-model initiatives, while also serving as the people manager and program leader for a specialized pod of Product Managers. The role will oversee the roadmap for training, measuring, and scaling models for Fit, Intent, Engagement, and Triage.

Requirements

People Leadership: Proven experience building and leading product teams, including coaching PMs through complex roadmaps and creating a culture of high accountability.
Predictive Product Mastery: Deep expertise in predictive modeling, machine learning lifecycles, and data science collaboration from a product perspective, with a track record of shipping complex ML-driven products at scale.
Operating Rigor: Ability to build operating rhythms that turn messy data and model dependencies into clean execution, focusing on methodologies that ensure long-term product performance.
B2B Mindset: Strong understanding of B2B data models and how predictive scoring drives GTM outcomes.
Experience: 8-10+ years in Product Management, with a focus on AI, ML, or Data Science products, including 3-5+ years of formal people management experience.

Responsibilities

Lead and Scale a Specialized Pod: Act as a formal people manager for a pod of Product Managers focused on specialized modeling and intelligence initiatives, responsible for their growth, performance, and alignment with the broader intelligence strategy.
Own the Core Predictive Foundation: Personally drive the strategy for core models and define the roadmap for how these models are consumed by downstream applications across the 6sense ecosystem.
Drive Cross-Model Initiatives: Establish global standards and methodologies for ongoing model training, feedback loops, and accuracy measurement to ensure predictions remain the industry benchmark.
Maximize Model Leverage: Enforce a "build once, use everywhere" philosophy, ensuring platform engines provide maximum value to all surface apps and specialized use cases.
Be a Strategic Partner to Leadership: Partner directly with the Head of Intelligence Product to align the predictive roadmap with company strategy, surfacing model risks early and identifying opportunities for portfolio tradeoffs.